All About Hybrid Cloud Environment Before Workload Migration

Sayantani Bhattacharya | June 11, 2021 | 272 views

Hybrid Cloud Environment
Modern organizations need fast-paced solutions to scale their services and integrate their applications for a digital foothold, resulting in a demand to shift their ecosystem from on-premise to a cloud environment. Therefore, selecting the exemplary cloud architecture based on the organizational ecosystem is the need of the hour; otherwise, it may directly impact their business growth. Hence, companies are interested in opting for a hybrid cloud solution that will allow gradual migration of their workloads without affecting the daily operations, providing enhanced security by allowing segregation of the critical and general workloads to private and public clouds, respectively.

Many businesses across the globe are raising concerns on whether to adopt a public, private or hybrid cloud platform. According to Gartner, over 75% of midsize and large organizations will adopt a hybrid or multi-cloud strategy by 2021. Today, organizations realize that a hybrid platform is a good-to-go solution after managing IT resources and workloads in public and private cloud environments.

The hybrid cloud definition says that it is a combination of storage, computing, and services environments of an on-premise, private and public cloud. It creates a single platform to operate both in on-premises, private resources, and public cloud resources, such as those offered by Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). It allows seamless sharing of data and applications when computing and processing requests vary within the organization. A hybrid ecosystem establishes interconnectivity initially through data virtualization, following via connection tools and protocols such as application programming interfaces (APIs), virtual private networks (VPNs), and/or wide area networks (WANs). The goal is to create a collaborative, automated, secured, and organized environment, where integrating these applications among one another and with on-premises systems is easy and fast. 

How is Hybrid Platform Different from Others?

Deployment of a hybrid infrastructure describes the organization's ecosystem where on-premise, public, and private cloud environment conglomerate to provide a secure and unified platform. Hybrid cloud platforms allow you to leverage the utilities of the private and public cloud ecosystem.

The private cloud is an infrastructure that can isolate all your vital business data of an organization behind firewalls on a single server, which are non-sharable and thus is a perfect fit for businesses dealing with confidential and sensitive information.Whereas public cloud platforms are shared spaces that offer massive amounts of storage capacity and other resources, they are highly scalable. In addition, due to the shared architecture, public clouds are affordable and allow organizations to control the security and backups provided by the server's data center.

Hybrid platforms are secured, scalable, and cost-effective, allowing you to have a flexible option to separate the workloads and benefit private and public cloud platforms.

Benefits of Hybrid Cloud

According to the Mordor Intelligence research report, Hybrid Cloud Market was valued at USD 52.16 billion in 2020 and projects to record USD 145 billion by 2026, at a CAGR of 18.73% for the forecast period 2021 to 2026. The vital factors such as flexibility, reliability, scalability, cost-effectiveness, security, and rapidity drive its progress.

Flexibility and Reliability

One of the prime benefits of a hybrid environment is its flexibility. A typical hybrid cloud solutions flexibility refers to the service that enables you to utilize the ecosystem as per their needs. Hybrid cloud architecture can use traditional on-premise systems and the latest cloud technology, with/without registering to a third-party host. Organizations with hybrid infrastructure can migrate workloads and access information to and from their traditional systems and to the public/private cloud whenever necessary, without any service interruption. 

Scalability

As we know, a hybrid cloud infrastructure allows us to utilize both a public cloud and a private cloud. It permits more resources via the public cloud services that enable the organizations to expand their storage capacity and computing resources. Thus, workload migration to a hybrid ecosystem makes it easier to facilitate, implement and scale the resources whenever demand exceeds the ability of the on-premise infrastructure.

Cost-Effectiveness

Typically comprised of private cloud and public cloud architectures, hybrid cloud management allows you to own and operate the data center infrastructure with a significant capital expense. On the other hand, it also enables the public cloud infrastructure to offer resources and services accountable as variable and operational expenses. Thus, hybrid cloud users can select any infrastructures that make it affordable to run the workloads. Moreover, it can accommodate the business demand upsurge and increase its capacity without additional cost. As cost-saving is one of the prime aims of organizations, a hybrid infrastructure leverages a cost-effective approach with no compromise on your ecosystem's scalability, flexibility, security, and agility. According to a study by IT management solution provider Flexera, 76 % of organizations use cost efficiency and savings to measure cloud progress.

Security

Securing business-critical information is always a challenge in any network-enabled ecosystem. Typically for a public cloud, susceptibility to data breaches and data leakages are common. While cloud service providers make exhaustive efforts to ensure data protection for their clients, yet public cloud infrastructure remains at high risk because of its open environment framework. Whereas, for the private cloud ecosystem, companies hold direct control over the stored data. They can manage and establish strict protocols for accesses because the data stored in the private ecosystem are generally highly critical and confidential. However, with a hybrid service, companies can leverage the security of a private cloud with the flexibility and benefits of a public cloud. You can migrate the business-critical data from the private ecosystem to a public cloud for different operations, analytics, and applications. You can also implement extensive encoding methods to ensure data security as much as possible. Hence, Hybrid cloud security is simply protecting the data, applications, and infrastructure that incorporates a certain degree of workload sharing, consistency, and management across multiple cloud environments.

Rapidity

Speed/Rapidity is one of the noteworthy attributes of network-enabled applications. Although a hybrid platform is not fundamentally quicker than a public cloud platform, it allows network optimization to curtail latency and simplify data migration. In addition, hybrid cloud storage transfers non-critical workloads to the public cloud and critical workload on the private cloud and optimizes the network to streamline the traffic. As a result, you can work faster and increase their productivity.

Few Setbacks to Keep in Mind

Despite several benefits, you should consider some of the hybrid cloud challenges before workload migration. Flexera's 2020 State of the Cloud Report says that the complexity and dynamic nature, the hybrid/multi-cloud environment brings many challenges, such as assessing the suitability of on-premises apps for migrating to the cloud. However, analyzing and noting the limitations can make it easy for organizations to utilize their hybrid ecosystem optimally.

Latency and Compatibility

As we know that a hybrid cloud strategy is derived by combining private and public cloud platforms, there can be compatibility issues between them because of their distinct properties. Moreover, analyzing the compatibility of the on-premise applications before migrating to the cloud requires a lot of effort and bandwidth. For example, the private cloud component of a hybrid application cannot respond as fast as the front-end public cloud component and can cause operational latency and other complexities.

Temporary Risk Due to Data Transfers

Data transfers across a hybrid cloud platform can involve third-party (public cloud host) for many organizations, resulting in unnecessary and unacceptable security risks. In addition, data leakages are also a common concern while shifting the on-premise applications to the cloud infrastructure. Therefore, organizations must consider encryption of all traffic to protect the network and avoid temporary security risks for the data in transit.

IAM Complexities

Using Identity and Access Management (IAM) protocols steadily across private and public clouds requires a highly synchronized effort to meet security and compliance requirements. It is also an essential protocol to ensure no gaps are present in the hybrid cloud design. However, organizations dealing with confidential data, such as the healthcare or finance industries, may face few compliance setbacks. In addition, knowing the actual position of the data and who has access can be a real challenge in a hybrid environment. Hence, organizations need to adopt single sign-on applications and allocate authorizations only when critical and necessary.

Initial Implementation Cost

The on-premise or private cloud component requires substantial investment, maintenance, and operational skills for traditional hybrid cloud architecture. Thus, implementing additional software, though necessary, can further add to the initial cost for a private cloud. At the same time, proper data planning, security tools, employee training, and cloud certifications can boost the initial investment for the public cloud.

Is Hybrid Cloud Environment A Right Choice for Your Business?

Advanced companies align their business transformation strategy with the orchestration of their cloud platforms to achieve a 'GenX' business model. This model establishes an automated and agile organization, empowered by data, directed by AI insights. IBM's Voice of the Enterprise Digital Pulse report by 451 Research says that 3 out of 5 of approximately 1,000 organizations surveyed have implemented a hybrid ecosystem with integrated on-and off-premises cloud services.

Here are some hybrid cloud use cases to help you analyze whether a hybrid infrastructure fits your organizational ecosystem.

Dynamic Workloads

Hybrid cloud is particularly effective for dynamic workloads. For example, a trading company entry system that experiences significant demand surges is ideal for implementing hybrid cloud infrastructure. Using an easily scalable public cloud for your dynamic workloads while leaving more sensitive workloads to a private cloud or on-premises data center helps to increase your operational efficiency without hampering the security of your critical data.

Segregation of Critical and Non-Critical Workloads

When your company leverages several SaaS applications, it requires identifying and segregating their workloads to perform while keeping the data security aspect high priority optimally. In comparison, hybrid cloud storage diversification allows moving business-critical workloads to the private cloud with access control mechanisms for security. You can shift the non-critical applications to a public environment and utilize them for business analytics. Under a hybrid ecosystem, both these platforms share information under the same data management yet remain distinct. 

Periodical Migration to Cloud Environment

Suppose you are planning to upgrade your operational infrastructure but not sure about its operability. In that case, you can migrate a portion of your critical workload to the private cloud and general applications to the public environment of the hybrid cloud platform and analyze the performance. You can continue expanding your cloud presence as needed by periodical migration of the workload, utilizing the hybrid structure. It enables you to assess the platform in terms of your current requirements and potential future growth.

Big Data Management

Hence, opting for a more brilliant choice by implementing a hybrid cloud strategy will allow you to run a portion of the big data analytics using a highly scalable public cloud platform. Furthermore, you can ensure data security and retain your confidential big data behind the firewall while using the private cloud.

Capacity Management

A hybrid cloud allows you to assign public cloud resources for short-term projects at a much lower cost than the on-premise data center. Thus, you can maintain efficient investment by controlling over-expenditures on the equipment that you may require temporarily.

Additionally, utilizing a hybrid environment to supplement your on-premise infrastructure is a better choice for projects that require multi-user collaboration or significant data storage and may hinder your current network performance or surpass your network capacity.

Multiple Business Requirements

Assume your organization needs to fulfill several business requirements. You can cater to some of your critical business needs by only a private cloud and other essentials through a public cloud. Under such circumstances, the hybrid solution is perfect for you. Hybrid cloud services help in many ways to provide benefits of both solutions for a business.

Inference

A well-integrated and balanced hybrid approach gives your business the best of both worlds. It allows you to leverage public cloud and private cloud services without completely offloading your data to a third-party data center.  Hybrid Cloud Computing can be an ideal solution for your high-focussed businesses.

With the extensive features and benefits of the hybrid ecosystem, your organization will be able to take a step ahead to the world of modern technology and get to see the advantage of combining the security and control of private infrastructure with the scalability and versatility of public cloud computing. 

FAQ’s

How do hybrid clouds work?

The hybrid cloud creates a single platform for the on-premise, private, and public cloud data, allowing gradual migration of the workloads without disturbing the daily transactions by establishing interconnectivity between different platforms. In addition, the hybrid cloud provides the security of the private ecosystem and the flexibility of the public infrastructure. 

Are hybrid clouds secure?

Hybrid clouds allow the migration of sensitive workload to its private infrastructure that you can protect behind the company's firewall. Thus, you can secure all the confidential data within the hybrid cloud infrastructure. In addition, you can shift the remaining non-critical workloads to the public portion of the hybrid cloud ecosystem, which you can utilize for several computational purposes.

Why hybrid cloud?

Hybrid cloud provides the security of the private environment and the scalability and flexibility of the private environment, which makes it one of the most preferred infrastructures for several organizations.

What is hybrid cloud storage?

Hybrid cloud storage is a method to manage cloud storage that uses both local and off-site data. With hybrid cloud storage, businesses can shift their workloads between on-premises or private clouds. In addition, hybrid clouds help organizations to get the most out of containers, which simplifies shifting workloads among clouds.


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5 Epic Cloud Communications Solutions to Scale Your Business

Article | November 29, 2022

Contents 1. Effective Migration to Cloud Communications with the Right Tools 2. Leveraging Cloud Communications to Grow Your Small Business ROI 3. Business Communication Simplified with Cloud Communications 4. CPaaS Solution Providers for Small and Medium Businesses 5. Analyzing Cloud Communications: The Backbone of Digital Transformation 6. Conclusion Real-time cloud communication using a communications platforms as a service (CPaaS) starts with integrating your existing communication stack with the cloud technology software you already use. Cloud communications has given rise to some of the most effective methods of communication. Timely communication helps in well-coordinated deliveries of products and product development projects. This article will discuss how to migrate to the cloud correctly, how a small business can generate ROI with cloud communications, the features of CPaaS, and using CPaaS for the digital transformation of an organization. 1. Effective Migration to Cloud Communications with the Right Tools Choosing the right tools in the migration process is the key to achieving a hassle-free and flawlessmigration to the cloud. Getting support from the cloud product whenever needed is one of the critical factors when considering migration to the cloud. Make sure the cloud hosting complies with your company's security protocols and creates a workflow to seamlessly integrate the cloud access within your organization's existing framework. When migrating your company's data to the cloud, these are some ideas to consider. Making your network ready for the cloud Making arrangements to avoid failure Choosing the right tools in the process of migration to the cloud Accessing the cloud for support when needed. Make sure the cloud product you choose provides on-demand support. Consider the security aspect of your cloud communications platform Cost-effective cloud communications platform Further reading: “The Ultimate Cloud Migration Checklist” 2. Leveraging Cloud Communications to Grow Your Small Business ROI Cloud computing needs no initial setup cost but is conveniently billed monthly or annually. Using this, your small business can free up time and resources to focus on core product development and research. You don’t need to invest resources in an expensive setup to support your business growth or in external managed services. On the contrary, cloud computing offers unlimited expansions and contractions with the click of a button. This allows decision-makers to scale up and down automatically as per the business requirements for the desired performance. Most importantly, the cloud’s ability to create on-demand virtual machines for the purpose of testing and exiting them when not in use is highly commendable and widely utilized. In the fast-paced world of software development, your software product can lose ground if you don't develop new ideas and get them out faster in a time frame of one to two weeks. With cloud computing, your deployment would take just a few hours rather than weeks. Your small business must consistently roll out new features to create a superior product that meets customer needs. The cloud supports your product development and deployment with a continuous integration (CI) and continuous delivery (CD) approach. The cloud's on-demand virtualization capabilities, flexibility to create and exit multiple instances, and cloud deployment speed can help your product generate a consistent and exponential return on investment (ROI). This will enhance your business' profitability for all the stakeholders by inviting new growth avenues. Further reading: “Detailed Analysis of Cloud Deployment Models” 3. Business Communication Simplified with Cloud Communications Connect, communicate, and collaborate for a faster and better workflow with CPaaS. Get fully integrated, tailored facilitation to help your teams work better with the cloud. A better-coordinated team helps elevate your customer service. It, thus, helps enhance cloud communication productivity and increase your return on investment with the use of WebRTC-based real-time cloud communication. WebRTC is a free, open source framework to allow mobile apps and software to make real-time voice calls using an application programming interface (API) integration. Current WebRTC implements the Opus and VP8 codecs with a bandwidth of 6–510 Kbit/s and supports constant and variable bit-rate encoding. WebRTC encryption is a multi-layer security measure that uses Secure Real Time Protocol (SRTP) and needs a SIP firewall proxy connection with TLS 1.2 or 1.3 secured with digest authorization. CPaaS helps with integrating features into your existing system, such as: Real-time Voice: Making outbound voice calls, inbound call routing, WebRTC-based calling, and on-demand SIP trunking are all part of real-time communication (RTC) and cloud telephony. It allows the real-time exchange of voice data in browsers with the help of cloud API integrations and zero time lag. A few cloud-based unified communications systems using cloud phone systems now seem to be moving to WebRTC as well.Read More: Usefulness of Cloud Integration for Businesses Real-time Messaging: Send notifications, alerts, and progress statuses from your business number with a facility that allows customers to respond. The various technologies that allow real-time messaging include application-to-person (A2P) SMS, Rich Communication Services (RCS) business messaging, over-the-top (OTT) business messaging, and push notifications. WebRTC APIs are used for real-time messaging. Real-time Video Conferencing: Send and receive images, videos, and many other media and file formats with the help of the cloud in real-time. Achieve video quality of 1080p at a latency of 400 ms with WebRTC CPaaS, depending on your service provider. This helps fix a wide range of issues and improve the uptime of your systems. This feature also applies to live online gaming, live shopping, live healthcare, watch parties for sports and other live events, live educational classes, live auctions, a live virtual and extended reality experience, and more. The advanced WebRTC-based video conferencing systems from the CPaaS vendors cater to a minimum of 17 participants and a maximum of 3000 participant-sessions. A higher number of participants calls for implementing an XDN architecture. Real-time Social Media Messaging: Deliver rich customer experiences using WhatsApp and other instant social media messaging. You can send and receive multimedia messages and files, share your locations, and see if your customer received the message. Proxy Number Masking: Getting things done while maintaining the privacy of your phone number is easy. It is essential to connect two distinct parties without revealing their phone numbers. A cloud proxy protects sensitive data (e.g., PCI data and PII) by acting as a stand-in for the cloud server that stores the data. Between the client and application server, the cloud proxy adds a layer of firewalling to handle all the requests. Due to the elasticity of the cloud, this process happens instantaneously, providing enhanced security features to the existing WebRTC-based real-time cloud solutions. Now that we've talked about cloud communication solutions, let's talk about some CPaaS solution providers for your business. Also read: "4 Ways Businesses Can Protect Their Cloud Servers" 4. CPaaS Solution Providers for Small and Medium Businesses "According to Allied Research, the API management market is projected to reach $41.5 billion at a rate of 34.5% CAGR by 2031, with APIs for text, voice, video, and payments witnessing massive growth." A host of CPaaS cloud communications solution providers supply different types of API-enabled CPaaS solutions. Businesses use these to reach out to their customers or leads: human resources to hire candidates, customer relationship management (CRM) streamlining, political campaigning, advocacy groups, non-profits, consultants, and resellers. These are a few simple, yet powerful, CPaaS solutions from various vendors that suit your business functions. Our suggestion is to compare the offerings of one cloud communications provider with the others before making your final choice. Anywhere365has API-enabled CPaaS solutions for customer service, enterprise communication, cloud contact center solutions, reporting, dialogue intelligence, interactive voice response (IVR), an attendant console for Microsoft Teams, an attendant console for Dialogue Cloud, and no code for Dialogue Studio. Their AI chatbots and voicebots handle more than 25% of inbound dialogue. For the best customer experience, you can create a personal IVR and amaze your customers using Anywhere365. It helps drive your customer data to boost your customer experience by using AI to answer routine questions. It runs on the Microsoft Azure security architecture, known to be one of the most secure cloud solutions. As they are IoT-ready, they are ideal to be used for management, control rooms, and emergency responders in conjunction with IoT. Cloudcall’sAPI-enabled CPaaS solutions range from broadcast SMS to CRM integration, local presence, reporting, and SMS. Their integrated approach enables you to access powerful features through API integration without leaving your CRM or ATS. Their rich feature set includes click-to-call, screen pops, local presence, history, voicemail drop, and real-time coaching. Their range of solutions creates one of the leading telephony systems. Use cases include recruitment, sales, and customer service. Their solutions are capable of driving workplace digital transformation, enhanced CRM adoption, and an insight-driven culture. They capture data from all channels of communication and organize the CRM records for a streamlined view. IntelePeer’scommunication API is capable of voice, SMS, social messaging, workflows, and more. Their solutions are more focused on contact centers. Their award-winning omni-channel communication solutions power automation with AI and analytics. Their solutions are focused on financial services, healthcare, retail, and utilities. Their communication APIs include no or low code, omnichannel automation, actionable insights, and are AI-ready. Their communication API platform improves customer experience (CX) ratings by 31%, improves revenue by 28%, and cuts costs by 53%. Their platform is compatible with on-premises cloud and hybrid cloud, enterprise security, quick deployment, and a global reach. Kaleyrahas SMS, Voice, WhatsApp, Push Notification, Email, Video, RCS Messaging, MMS Messaging, and other API-enabled CPaaS solutions. Financial institutions, e-commerce players, over-the-top (OTT) companies, software companies, companies that help with logistics, healthcare providers, retailers, and others trust their mobile communication services. Their range of tools includes contact centers, flow builders, conversations, numbers, lookups, premium SMS, chatbots, verifying, verified calls, verified SMS, campaign management, and direct carried billing. Their solutions help businesses reach, engage, and manage customers instantly, keeping the data safe and secure with their enterprise grade security features. Plivooffers CPaaS solutions that use APIs, including an SMS API, an MMS API, a Voice API, and an SIP calling API called Zentrunk. They handle more than one billion API requests a month. They are also solution providers for number lookup and phone numbers for career portals. Build an omnichannel contact center with the help of the Contacto solution. Their strong consultative support in setting up communications for your business and a reliable uptime for their platform help businesses keep up with the customer experience. Despite their simple appearance, the software contains complex tools and applications. Depending on the business volume, they have a wide range of plans to cater to the needs of different businesses. Prompt.iohas support for 10DLC, toll-free, and short-code API-enabled CPaaS solutions for texting and voice calls. They have modernized text messaging by combining fast, reliable delivery with the ability to exchange structured data and close business all in one single end-to-end mobile experience. Additionally, they offer HD video MMS, microapps, conversations, broadcasts, automations, smart links, a library of responses, a team, channels, and contacts. Their solutions are focused on political organizations, advocacy groups, non-profits, and commercial uses. However, they can be relevant to several other industries as well. SendbirdChat is a chat API; Sendbird Calls is a voice API; and Sendbird Desk is a mobile-based chat platform. Turning your app into a streaming platform is possible with Sendbird Live, and streamlining customer conversations is possible with Sendbird’s Unified Inbox. They have a dedicated UIKit for chat that allows for the rapid deployment of amazing chat messages. They cater to industries ranging from marketplaces to digital health, social and online communities, gaming, on-demand services, retail, and financial services. Their use cases include support, sales, marketing, operations, streaming, and user conversations. They assist your developers with API integration. TextUsallows SMS API integration for customer service, recruitment, prospecting, and more. SMS automation, campaign management, A/B testing, and analytics insights are possible with TextUs. You have better control over your text messaging campaigns with their organization mapping, opt-out management, analytics insight, and white-labeling for your brand. Their solutions are oriented towards staffing and recruiting, human resources, higher education, healthcare, sales, sports franchises, transportation, and logistics. Their communication API is aimed at getting faster replies. Voximplanthas three main APIs for voice, video, and automated voice: programmable voice, programmable video, and a dialogflow connector. They provide innovative real-time communication tools with full control over voice, video, and messaging. The Voximplant Kit has solutions for omnichannel contact centers with features such as CRM integration, omnichannel marketing, and AI-driven response. Their use cases include the banking, automobile, human resource, logistics, on-demand delivery, technology, food service, marketplaces and classifieds, retail and e-commerce, travel, healthcare and education industries. The Whispirplatform is capable of cloud-automated workflows, message builders for text campaigns, smart reporting analytics, and pay by text SMS payments for buyers and sellers. Using CPaaS, it enables you to send and receive your payments 85% faster. Their solutions aim to help people communicate with other people using technology without losing the human touch. Their platform is capable of automated workflows, message builders, smart reporting, and pay by text options. Their solutions touch on channels such as email, voice messaging, and WhatsApp. They provide integrations for CRM such as Salesforce, ServiceNow, Kenexa, Okta, OneLogin, and more. Since we've discussed about about cloud communication solutions, we can learn how these systems make communication easy and safe. Also read: "Managed Cloud Services: the Benefits of Outsourcing Cloud Management" 5. Analyzing Cloud Communications: The Backbone of Digital Transformation Migrating your company's data to the cloud to embrace digital transformation is the best place to begin thinking about a more connected, collaborative, and informed workforce using CPaaS. The more time you save using cloud services, the better you can focus on product research and development. Keeping abreast of new market opportunities is critical for cloud-based innovation. Implementing new technologies necessitates the use of the cloud. The cloud's resiliency, security, cost, and capability improve your core business functions without setting up and maintaining an IT infrastructure. The cloud infrastructure makes digital transformation quick and efficient, making it ready for an in-house remote workforce and external virtual teams. It also gives regular phone systems more communication methods, like automatic call distribution, call queuing, call recording, and voicemail forwarding. Data gathering, sorting, and making sense of the cloud communication data touch points allow your company to get better customer insights and analytics. Combining data from all communication channels produces a seamless and better customer experience. Improve the customer experience while also accelerating product development by implementing new technology and real-time cloud communication. The cloud allows users to access information from any device, such as an IoT device. Users are seamlessly connected thanks to secure access control. As a result, you don't tend to lose your data in the event of accidental deletion, corrupted hardware, or the loss of a device because the cloud backs up your data. With the cloud’s high utilization rate due to automatic load balancing, zero infrastructure setup cost, lower energy costs, and reliability, cloud communications help companies move towards sustainability and greener operations. 6. Conclusion “The CPaaS industry is forecasted to reach $34 billion in sales by 2026, and by 2025, as per Gartner, 95% of businesses will have API-enabled CPaaS.” This presents a tremendous opportunity to implement CPaaS. Small, medium, and large enterprises can develop cloud communication-enabled APIs to work with their setup to enhance it dramatically. With the increasing rate of mergers and acquisitions happening worldwide, CPaaS holds promise for integrating business communications using APIs, not just internally but from a customer service perspective as well.

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CLOUD SECURITY

What Is Cloud-Native and Why Does it Matter for CI

Article | August 4, 2022

Continuous intelligence (CI) relies on the real-time analysis of streaming data to produce actionable insights in milliseconds to seconds. Such capabilities have applications throughout a business. In today’s dynamic marketplace, new CI applications that use data from various sources at any given time might be needed on very short notice.The challenge is how to have the flexibility to rapidly develop and deploy new CI applications to meet fast-changing business requirements. A common approach employed today is to use a dynamic architecture that delivers access to data, processing power, and analytics capabilities on demand. In the future, solutions also will likely incorporate artificial intelligence applications to complement the benefits of traditional analytics. Increasingly, cloud-native is the architecture of choice to build and deploy AI-embedded CI applications. A cloud-native approach offers benefits to both the business and developers. Cloud-native applications or services are loosely coupled with explicitly described dependencies.

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CLOUD SECURITY

Why Microsoft Should Spinoff Its Cloud Business

Article | July 19, 2022

Microsoft currently features old-school solutions that are growing relatively slowly (Office and Windows) and new cloud solutions that are growing tremendously (Dynamics 365 and Azure). If the company stays in its current form, Microsoft stock will keep steadily advancing. But because the company’s total top and bottom lines are never going to increase much more than 30% or 35% per year, the shares are never going to deliver truly huge returns. But that would change if the company was to spin off its rapidly growing cloud businesses. In such a scenario, the current owners of Microsoft stock would receive shares in a cutting edge cloud services company (let’s call it Azure), and shares in a company focused on providing old, mostly PC-based software to businesses and consumers.

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Intelligence Giant Upgrading its Cloud Technology

Article | February 10, 2020

With the huge amounts of data in all fields, a future in the cloud is imperative to help deal with this explosion of data, especially in the field of intelligence technology. This is the reason why the US Central Intelligence Agency is updating its cloud technology. The agency has recently released a draft request for proposal for its Commercial Cloud Enterprise contract.The C2E tens of billions contract will be a multi-award commercial cloud computing contract with a five-year base period and two five-year options for a period of performance of up to 15 years, according to nextgov.com.In a March 2019 presentation by the Directorate of Digital Innovation, a division of the CIA, the department outlined its vision for C2E. It would be broad and include infrastructure, platform and software cloud services supporting a broad range of users, with a variety of security clearances and a worldwide presence, as reported by techcrunch.com. The principal C2E Program objective is to acquire cloud computing services directly from commercial cloud service providers with established records for innovation and operational excellence in cloud service delivery for a large customer base,the department stated in the presentation.Apparently, the agency prefers to avoid all the attention that the Pentagon’s JEDI cloud procurement process got, and quietly go about its business.

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CLOUD APP MANAGEMENT

AWS Announces General Availability of Amazon EC2 DL1 Instances

Amazon | October 27, 2021

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company announced general availability of Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models. DL1 instances are powered by Gaudi accelerators from Habana Labs (an Intel company) to provide up to 40% better price performance for training machine learning models than the latest GPU-powered Amazon EC2 instances. With DL1 instances, customers can train their machine learning models faster and more cost effectively for use cases like natural language processing, object detection and classification, fraud detection, recommendation and personalization engines, intelligent document processing, business forecasting, and more. DL1 instances are available on demand via a low-cost pay-as-you-go usage model with no upfront commitments. To get started with DL1 instances, Machine learning has become mainstream as customers have realized tangible business impact from deploying machine learning models at scale in the cloud. To use machine learning in their business applications, customers start by building and training a model to recognize patterns by learning from sample data, and then apply the model on new data to make predictions. For example, a machine learning model trained on large numbers of contact center transcripts can make predictions to provide real-time personalized assistance to customers through a conversational chatbot. To improve a model's prediction accuracy, data scientists and machine learning engineers are building increasingly larger and more complex models. To maintain prediction accuracy and high quality of the models, these engineers need to tune and retrain their models frequently. This requires a considerable amount of high-performance compute resources, resulting in increased infrastructure costs. These costs can be prohibitive for customers to retrain their models at the frequency they need to maintain high-accuracy predictions, while also posing an obstacle to customers that want to begin experimenting with machine learning. New DL1 instances use Gaudi accelerators built specifically to accelerate machine learning model training by delivering higher compute efficiency at a lower cost compared to general purpose GPUs. DL1 instances feature up to eight Gaudi accelerators, 256 GB of high-bandwidth memory, 768 GB of system memory, 2nd generation Amazon custom Intel Xeon Scalable (Cascade Lake) processors, 400 Gbps of networking throughput, and up to 4 TB of local NVMe storage. Together, these innovations translate to up to 40% better price performance than the latest GPU-powered Amazon EC2 instances for training common machine learning models. Customers can quickly and easily get started with DL1 instances using the included Habana SynapseAI SDK, which is integrated with leading machine learning frameworks (e.g. TensorFlow and PyTorch), helping customers to seamlessly migrate their existing machine learning models currently running on GPU-based or CPU-based instances onto DL1 instances, with minimal code changes. Developers and data scientists can also start with reference models optimized for Gaudi accelerators available in Habana’s GitHub repository, which includes popular models for diverse applications, including image classification, object detection, natural language processing, and recommendation systems. “The use of machine learning has skyrocketed. One of the challenges with training machine learning models, however, is that it is computationally intensive and can get expensive as customers refine and retrain their modelsAWS already has the broadest choice of powerful compute for any machine learning project or application. The addition of DL1 instances featuring Gaudi accelerators provides the most cost-effective alternative to GPU-based instances in the cloud to date. Their optimal combination of price and performance makes it possible for customers to reduce the cost to train, train more models, and innovate faster.” David Brown, Vice President, of Amazon EC2, at AWS Customers can launch DL1 instances using AWS Deep Learning AMIs or using Amazon Elastic Kubernetes Service (Amazon EKS) or Amazon Elastic Container Service (Amazon ECS) for containerized applications. For a more managed experience, customers can access DL1 instances through Amazon SageMaker, making it even easier and faster for developers and data scientists to build, train, and deploy machine learning models in the cloud and at the edge. DL1 instances benefit from the AWS Nitro System, a collection of building blocks that offload many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization overhead. DL1 instances are available for purchase as On-Demand Instances, with Savings Plans, as Reserved Instances, or as Spot Instances. DL1 instances are currently available in the US East (N. Virginia) and US West (Oregon) AWS Regions. Seagate Technology has been a global leader offering data storage and management solutions for over 40 years. Seagate’s data science and machine learning engineers have built an advanced deep learning (DL) defect detection system and deployed it globally across the company’s manufacturing facilities. In a recent proof of concept project, Habana Gaudi exceeded the performance targets for training one of the DL semantic segmentation models currently used in Seagate’s production. “We expect the significant price performance advantage of Amazon EC2 DL1 instances, powered by Habana Gaudi accelerators, could make a compelling future addition to AWS compute clusters,” said Darrell Louder, Senior Engineering Director of Operations, Technology and Advanced Analytics, at Seagate. “As Habana Labs continues to evolve and enables broader coverage of operators, there is potential for expanding to additional enterprise use cases, and thereby harnessing additional cost savings.” Intel has created 3D Athlete Tracking technology that analyzes athlete-in-action video in real time to inform performance training processes and enhance audience experiences during competitions. “Training our models on Amazon EC2 DL1 instances, powered by Gaudi accelerators from Habana Labs, will enable us to accurately and reliably process thousands of videos and generate associated performance data, while lowering training cost,” said Rick Echevarria, Vice President, Sales and Marketing Group, Intel. “With DL1 instances, we can now train at the speed and cost required to productively serve athletes, teams, and broadcasters of all levels across a variety of sports.” Riskfuel provides real-time valuations and risk sensitivities to companies managing financial portfolios, helping them increase trading accuracy and performance. “Two factors drew us to Amazon EC2 DL1 instances based on Habana Gaudi AI accelerators,” said Ryan Ferguson, CEO of Riskfuel. “First, we want to make sure our banking and insurance clients can run Riskfuel models that take advantage of the newest hardware. We found migrating our models to DL1 instances to be simple and straightforward—really, it was just a matter of changing a few lines of code. Second, training costs are a big component of our spending, and the promise of up to 40% improvement in price performance offers potentially substantial benefit to our bottom line.” Leidos is recognized as a top 10 health IT provider delivering a broad range of customizable, scalable solutions to hospitals and health systems, biomedical organizations, and every U.S. federal agency focused on health. “One of the numerous technologies we are enabling to advance healthcare today is the use of machine learning and deep learning for disease diagnosis based on medical imaging data. Our massive data sets require timely and efficient training to aid researchers seeking to solve some of the most urgent medical mysteries,” said Chetan Paul, CTO Health and Human Services at Leidos. “Given Leidos’ and its customers’ need for quick, easy, and cost-effective training for deep learning models, we are excited to have begun this journey with Intel and AWS to use Amazon EC2 DL1 instances based on Habana Gaudi AI processors. Using DL1 instances, we expect an increase in model training speed and efficiency, with a subsequent reduction in risk and cost of research and development.” Fractal is a global leader in artificial intelligence and analytics, powering decisions in Fortune 500 companies. “AI and deep learning are at the core of our healthcare imaging business, enabling customers to make better medical decisions. In order to improve accuracy, medical datasets are becoming larger and more complex, requiring more training and retraining of models, and driving the need for improved computing price performance,” said Srikanth Velamakanni, Group CEO of Fractal. “The new Amazon EC2 DL1 instances promise significantly lower cost training than GPU-based EC2 instances, which can help us contain costs and make AI decision-making more accessible to a broader array of customers.” About Amazon Web Services For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 81 Availability Zones (AZs) within 25 geographic regions, with announced plans for 24 more Availability Zones and eight more AWS Regions in Australia, India, Indonesia, Israel, New Zealand, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.

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Wipro Partners With National Grid to Drive Data Center Consolidation and Implement Next Generation Hybrid Cloud Architecture

Wipro | October 22, 2021

Wipro Limited a leading global information technology, consulting and business process services company has signed a multi-year global strategic IT and digital deal with London - headquartered National Grid, a leading multinational electric and gas utility provider to accelerate their digital innovation journey.As part of this engagement, Wipro through its Boundaryless Enterprise solutions will facilitate National Grid’s continued digital transformation, integration of its managed services and consolidation of multiple data centers across UK and US to next generation hosting services. These sustainable data centers will allow for enhanced program governance, as well as heightened consolidation and the migration of all server and application functions from traditional data centers. Wipro will also help with mainframe migration and transition to managed services, including the eventual implementation of a hybrid cloud solution for National Grid. Shannon Soland, Chief Technology Officer, National Grid said, “As a strategic partner, Wipro will help us accelerate our digital journey as we work to achieve next generation capabilities in infrastructure hosting services. Wipro’s expertise will be instrumental as we work to improve our operating model to align with our Net Zero carbon commitment.” “Our data center consolidation efforts will allow us to realize an over 60% reduction in our data center footprint as well as realize a 40% reduction in our data center CO2 emissions. Additionally this transformational program, in conjunction with Wipro, will position our IT capabilities to enable modernized SDDC techniques, technologies, and operating model to accelerate our own digital transformation as National Grid continues to build the future of energy.” Daniel Jablonski, Head of Cloud and Hosting Services, National Grid As part of the collaboration with National Grid, Wipro through its innovative solutions and expertise will deliver a flexible, scalable and resilient digital transformation journey for National Grid. Geoffrey Jue, Vice President - ENU Sector Head, Wipro Limited said, “National Grid is one of the world’s largest utility companies, and Wipro is excited to be named as a strategic partner. This new collaboration builds on the successful two-decade-old partnership between the two companies. Wipro will employ standardized tools and processes to provide cloud services that will strengthen National Grid’s infrastructure services, and support its strategic business objectives. About Wipro Limited Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 220,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.

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NetApp Expands Hybrid Cloud Solutions Portfolio to Unlock Best of Cloud

NetApp | October 21, 2021

Today at INSIGHT 2021, NetApp®, a global cloud-led, data-centric software company, announced new additions and enhanced capabilities across its hybrid cloud portfolio to help organizations modernize their IT infrastructures and accelerate digital transformation. Delivering new secure ways to consume and operate data services on-premises and in the cloud, NetApp hybrid cloud solutions make it simpler for enterprise customers to put their data to work — wherever and whenever they need it. As the only solutions provider with native integrations for the world’s largest public clouds, NetApp’s industry leading ONTAP® software continues to serve as the foundation for hybrid cloud. With the latest release of ONTAP, NetApp is introducing enhanced protection against ransomware, expanded data management capabilities, and NVMe/TCP support for accelerated performance. The company is also announcing new digital wallet capabilities for NetApp Cloud Manager and enhanced data services for simplified administration across a hybrid cloud, more flexible consumption options to better control costs, as well as new Professional Services offerings to help customers unlock the full value of on-premises and hybrid cloud resources. “The promised benefits of migrating to the cloud may be profound, but many IT departments are still working to overcome on-premises challenges, like managing the complexity and costs of moving data, protecting against ransomware, and ensuring reliable performance for critical applications. As the hybrid cloud specialist, NetApp can help enterprises move their digital transformation efforts forward to deliver business results faster and within budget—whether they are still developing a strategy or in the middle of executing large-scale migrations.” Brad Anderson, Executive Vice President, Hybrid Cloud Group at NetApp “IDC’s research shows that approximately 70% of enterprise IT customers plan to modernize their storage infrastructures in the next two years to support next-generation workloads. But the key operational advantage will be in optimizing workload placement across traditional on-premises and cloud environments,” said Eric Burgener, Research Vice President, Infrastructure Systems Group at IDC. “As an industry leader with years of innovation and expertise delivering hybrid cloud solutions, NetApp is uniquely positioned to help enterprises transition to hybrid cloud models to achieve the scalability and flexibility they need to deliver critical data services and workload capabilities that drive business value.” “Formula One racing has always been about finding the competitive edge, and with Aston Martin Cognizant’s return to the F1™ grid this year, we’re embracing an ambitious data-centric strategy to maximize our performance both on and off the track as we seek pole position,” said Otmar Szafnauer, Chief Executive Officer and Team Principal at Aston Martin Cognizant Formula One Team. “By partnering with NetApp to build our data fabric and standardize operations with its world-class hybrid cloud solutions, we’re working to ensure that everything we do—from capturing real-time data on car and component performance to how we streamline factory and engineering operations—is focused on constant improvement and driving the team forward.” NetApp’s latest portfolio innovations announced today include: ONTAP Data Management Software Enhancements: The latest release of ONTAP enables enterprises to autonomously protect against ransomware attacks based on machine learning with integrated preemptive detection and accelerated data recovery. The new release also delivers enterprise-grade performance for SAN and modern workloads with NVMe/TCP support, expanded object storage capabilities, and simplified management. In addition, this latest ONTAP release will power the upcoming NetApp AFF A900, the next-generation high-resiliency all-flash system for business-critical workloads. Enhanced Data Services: With new digital wallet capabilities available in NetApp Cloud Manager, customers can benefit from greater mobility and more visibility into usage of data service licenses across a hybrid cloud, with prepayment of credits enabling streamlined deployment to avoid procurement hassles. Additional updates include enhancements to NetApp Cloud Backup and Cloud Data Sense services, simplified deployment of Cloud Volumes ONTAP with new customer-ready templates, fully embedded Active IQ, and deeper integrations with NetApp Cloud Insights and ONTAP software to support Kubernetes workloads. More Flexible Consumption Options: NetApp Keystone Flex Subscription, an on-premises storage-as-a-service offering with native cloud integration, continues to gain momentum with customers. The offering is now supported on four continents—encompassing petabytes of capacity within just under one year of availability. NetApp is now offering a new freemium service tier for Cloud Volumes ONTAP, providing customers with access to a fully featured, perpetual license to use ONTAP in the cloud for workloads needing less than 500GB of storage. This consumption flexibility gives organizations the freedom to use enterprise-grade data services for small workloads such as Kubernetes clusters at no initial cost. An organization only needs to convert to a subscription when the workload matures and scales. “As a leading IT consultancy specializing in cloud infrastructure and services, our clients are increasingly working with us to reduce CAPEX spending by taking advantage of cloud-like consumption models for their on-premises environments,” said Kent Christensen, Virtual Practice Director for cloud and data center transformation at Insight. “NetApp Keystone helps us provide a truly flexible consumption model for enterprises, serving as a platform to provide business-critical data services across the entire hybrid cloud data fabric, which will be a huge boon for our growing client base." More Accessible Hybrid Cloud Expertise: NetApp is also introducing new Support and Professional Services offerings to make it even easier to access experts for step-by-step guidance as they transition to hybrid cloud. With SupportEdge Advisor for Cloud, NetApp is extending its data center support model to cloud services with rapid, direct access to trained specialists. NetApp Flexible Professional Services (FlexPS) is also available for customers that require on-demand and ongoing support as they transition to a hybrid cloud. With this new subscription-based offering, organizations can get the professional help they need to design and build a data fabric strategy, implement solutions, and optimize their hybrid cloud with predictable costs and avoid procurement delays. About NetApp NetApp is a global cloud-led, data-centric software company that empowers organizations to lead with data in the age of accelerated digital transformation. The company provides systems, software and cloud services that enable them to run their applications optimally from data center to cloud, whether they are developing in the cloud, moving to the cloud, or creating their own cloudlike experiences on premises. With solutions that perform across diverse environments, NetApp helps organizations build their own data fabric and securely deliver the right data, services and applications to the right people—anytime, anywhere.

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AWS Announces General Availability of Amazon EC2 DL1 Instances

Amazon | October 27, 2021

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company announced general availability of Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models. DL1 instances are powered by Gaudi accelerators from Habana Labs (an Intel company) to provide up to 40% better price performance for training machine learning models than the latest GPU-powered Amazon EC2 instances. With DL1 instances, customers can train their machine learning models faster and more cost effectively for use cases like natural language processing, object detection and classification, fraud detection, recommendation and personalization engines, intelligent document processing, business forecasting, and more. DL1 instances are available on demand via a low-cost pay-as-you-go usage model with no upfront commitments. To get started with DL1 instances, Machine learning has become mainstream as customers have realized tangible business impact from deploying machine learning models at scale in the cloud. To use machine learning in their business applications, customers start by building and training a model to recognize patterns by learning from sample data, and then apply the model on new data to make predictions. For example, a machine learning model trained on large numbers of contact center transcripts can make predictions to provide real-time personalized assistance to customers through a conversational chatbot. To improve a model's prediction accuracy, data scientists and machine learning engineers are building increasingly larger and more complex models. To maintain prediction accuracy and high quality of the models, these engineers need to tune and retrain their models frequently. This requires a considerable amount of high-performance compute resources, resulting in increased infrastructure costs. These costs can be prohibitive for customers to retrain their models at the frequency they need to maintain high-accuracy predictions, while also posing an obstacle to customers that want to begin experimenting with machine learning. New DL1 instances use Gaudi accelerators built specifically to accelerate machine learning model training by delivering higher compute efficiency at a lower cost compared to general purpose GPUs. DL1 instances feature up to eight Gaudi accelerators, 256 GB of high-bandwidth memory, 768 GB of system memory, 2nd generation Amazon custom Intel Xeon Scalable (Cascade Lake) processors, 400 Gbps of networking throughput, and up to 4 TB of local NVMe storage. Together, these innovations translate to up to 40% better price performance than the latest GPU-powered Amazon EC2 instances for training common machine learning models. Customers can quickly and easily get started with DL1 instances using the included Habana SynapseAI SDK, which is integrated with leading machine learning frameworks (e.g. TensorFlow and PyTorch), helping customers to seamlessly migrate their existing machine learning models currently running on GPU-based or CPU-based instances onto DL1 instances, with minimal code changes. Developers and data scientists can also start with reference models optimized for Gaudi accelerators available in Habana’s GitHub repository, which includes popular models for diverse applications, including image classification, object detection, natural language processing, and recommendation systems. “The use of machine learning has skyrocketed. One of the challenges with training machine learning models, however, is that it is computationally intensive and can get expensive as customers refine and retrain their modelsAWS already has the broadest choice of powerful compute for any machine learning project or application. The addition of DL1 instances featuring Gaudi accelerators provides the most cost-effective alternative to GPU-based instances in the cloud to date. Their optimal combination of price and performance makes it possible for customers to reduce the cost to train, train more models, and innovate faster.” David Brown, Vice President, of Amazon EC2, at AWS Customers can launch DL1 instances using AWS Deep Learning AMIs or using Amazon Elastic Kubernetes Service (Amazon EKS) or Amazon Elastic Container Service (Amazon ECS) for containerized applications. For a more managed experience, customers can access DL1 instances through Amazon SageMaker, making it even easier and faster for developers and data scientists to build, train, and deploy machine learning models in the cloud and at the edge. DL1 instances benefit from the AWS Nitro System, a collection of building blocks that offload many of the traditional virtualization functions to dedicated hardware and software to deliver high performance, high availability, and high security while also reducing virtualization overhead. DL1 instances are available for purchase as On-Demand Instances, with Savings Plans, as Reserved Instances, or as Spot Instances. DL1 instances are currently available in the US East (N. Virginia) and US West (Oregon) AWS Regions. Seagate Technology has been a global leader offering data storage and management solutions for over 40 years. Seagate’s data science and machine learning engineers have built an advanced deep learning (DL) defect detection system and deployed it globally across the company’s manufacturing facilities. In a recent proof of concept project, Habana Gaudi exceeded the performance targets for training one of the DL semantic segmentation models currently used in Seagate’s production. “We expect the significant price performance advantage of Amazon EC2 DL1 instances, powered by Habana Gaudi accelerators, could make a compelling future addition to AWS compute clusters,” said Darrell Louder, Senior Engineering Director of Operations, Technology and Advanced Analytics, at Seagate. “As Habana Labs continues to evolve and enables broader coverage of operators, there is potential for expanding to additional enterprise use cases, and thereby harnessing additional cost savings.” Intel has created 3D Athlete Tracking technology that analyzes athlete-in-action video in real time to inform performance training processes and enhance audience experiences during competitions. “Training our models on Amazon EC2 DL1 instances, powered by Gaudi accelerators from Habana Labs, will enable us to accurately and reliably process thousands of videos and generate associated performance data, while lowering training cost,” said Rick Echevarria, Vice President, Sales and Marketing Group, Intel. “With DL1 instances, we can now train at the speed and cost required to productively serve athletes, teams, and broadcasters of all levels across a variety of sports.” Riskfuel provides real-time valuations and risk sensitivities to companies managing financial portfolios, helping them increase trading accuracy and performance. “Two factors drew us to Amazon EC2 DL1 instances based on Habana Gaudi AI accelerators,” said Ryan Ferguson, CEO of Riskfuel. “First, we want to make sure our banking and insurance clients can run Riskfuel models that take advantage of the newest hardware. We found migrating our models to DL1 instances to be simple and straightforward—really, it was just a matter of changing a few lines of code. Second, training costs are a big component of our spending, and the promise of up to 40% improvement in price performance offers potentially substantial benefit to our bottom line.” Leidos is recognized as a top 10 health IT provider delivering a broad range of customizable, scalable solutions to hospitals and health systems, biomedical organizations, and every U.S. federal agency focused on health. “One of the numerous technologies we are enabling to advance healthcare today is the use of machine learning and deep learning for disease diagnosis based on medical imaging data. Our massive data sets require timely and efficient training to aid researchers seeking to solve some of the most urgent medical mysteries,” said Chetan Paul, CTO Health and Human Services at Leidos. “Given Leidos’ and its customers’ need for quick, easy, and cost-effective training for deep learning models, we are excited to have begun this journey with Intel and AWS to use Amazon EC2 DL1 instances based on Habana Gaudi AI processors. Using DL1 instances, we expect an increase in model training speed and efficiency, with a subsequent reduction in risk and cost of research and development.” Fractal is a global leader in artificial intelligence and analytics, powering decisions in Fortune 500 companies. “AI and deep learning are at the core of our healthcare imaging business, enabling customers to make better medical decisions. In order to improve accuracy, medical datasets are becoming larger and more complex, requiring more training and retraining of models, and driving the need for improved computing price performance,” said Srikanth Velamakanni, Group CEO of Fractal. “The new Amazon EC2 DL1 instances promise significantly lower cost training than GPU-based EC2 instances, which can help us contain costs and make AI decision-making more accessible to a broader array of customers.” About Amazon Web Services For over 15 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud offering. AWS has been continually expanding its services to support virtually any cloud workload, and it now has more than 200 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, virtual and augmented reality (VR and AR), media, and application development, deployment, and management from 81 Availability Zones (AZs) within 25 geographic regions, with announced plans for 24 more Availability Zones and eight more AWS Regions in Australia, India, Indonesia, Israel, New Zealand, Spain, Switzerland, and the United Arab Emirates. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs. About Amazon Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Amazon strives to be Earth’s Most Customer-Centric Company, Earth’s Best Employer, and Earth’s Safest Place to Work. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Career Choice, Fire tablets, Fire TV, Amazon Echo, Alexa, Just Walk Out technology, Amazon Studios, and The Climate Pledge are some of the things pioneered by Amazon.

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Wipro Partners With National Grid to Drive Data Center Consolidation and Implement Next Generation Hybrid Cloud Architecture

Wipro | October 22, 2021

Wipro Limited a leading global information technology, consulting and business process services company has signed a multi-year global strategic IT and digital deal with London - headquartered National Grid, a leading multinational electric and gas utility provider to accelerate their digital innovation journey.As part of this engagement, Wipro through its Boundaryless Enterprise solutions will facilitate National Grid’s continued digital transformation, integration of its managed services and consolidation of multiple data centers across UK and US to next generation hosting services. These sustainable data centers will allow for enhanced program governance, as well as heightened consolidation and the migration of all server and application functions from traditional data centers. Wipro will also help with mainframe migration and transition to managed services, including the eventual implementation of a hybrid cloud solution for National Grid. Shannon Soland, Chief Technology Officer, National Grid said, “As a strategic partner, Wipro will help us accelerate our digital journey as we work to achieve next generation capabilities in infrastructure hosting services. Wipro’s expertise will be instrumental as we work to improve our operating model to align with our Net Zero carbon commitment.” “Our data center consolidation efforts will allow us to realize an over 60% reduction in our data center footprint as well as realize a 40% reduction in our data center CO2 emissions. Additionally this transformational program, in conjunction with Wipro, will position our IT capabilities to enable modernized SDDC techniques, technologies, and operating model to accelerate our own digital transformation as National Grid continues to build the future of energy.” Daniel Jablonski, Head of Cloud and Hosting Services, National Grid As part of the collaboration with National Grid, Wipro through its innovative solutions and expertise will deliver a flexible, scalable and resilient digital transformation journey for National Grid. Geoffrey Jue, Vice President - ENU Sector Head, Wipro Limited said, “National Grid is one of the world’s largest utility companies, and Wipro is excited to be named as a strategic partner. This new collaboration builds on the successful two-decade-old partnership between the two companies. Wipro will employ standardized tools and processes to provide cloud services that will strengthen National Grid’s infrastructure services, and support its strategic business objectives. About Wipro Limited Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful. A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 220,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.

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NetApp Expands Hybrid Cloud Solutions Portfolio to Unlock Best of Cloud

NetApp | October 21, 2021

Today at INSIGHT 2021, NetApp®, a global cloud-led, data-centric software company, announced new additions and enhanced capabilities across its hybrid cloud portfolio to help organizations modernize their IT infrastructures and accelerate digital transformation. Delivering new secure ways to consume and operate data services on-premises and in the cloud, NetApp hybrid cloud solutions make it simpler for enterprise customers to put their data to work — wherever and whenever they need it. As the only solutions provider with native integrations for the world’s largest public clouds, NetApp’s industry leading ONTAP® software continues to serve as the foundation for hybrid cloud. With the latest release of ONTAP, NetApp is introducing enhanced protection against ransomware, expanded data management capabilities, and NVMe/TCP support for accelerated performance. The company is also announcing new digital wallet capabilities for NetApp Cloud Manager and enhanced data services for simplified administration across a hybrid cloud, more flexible consumption options to better control costs, as well as new Professional Services offerings to help customers unlock the full value of on-premises and hybrid cloud resources. “The promised benefits of migrating to the cloud may be profound, but many IT departments are still working to overcome on-premises challenges, like managing the complexity and costs of moving data, protecting against ransomware, and ensuring reliable performance for critical applications. As the hybrid cloud specialist, NetApp can help enterprises move their digital transformation efforts forward to deliver business results faster and within budget—whether they are still developing a strategy or in the middle of executing large-scale migrations.” Brad Anderson, Executive Vice President, Hybrid Cloud Group at NetApp “IDC’s research shows that approximately 70% of enterprise IT customers plan to modernize their storage infrastructures in the next two years to support next-generation workloads. But the key operational advantage will be in optimizing workload placement across traditional on-premises and cloud environments,” said Eric Burgener, Research Vice President, Infrastructure Systems Group at IDC. “As an industry leader with years of innovation and expertise delivering hybrid cloud solutions, NetApp is uniquely positioned to help enterprises transition to hybrid cloud models to achieve the scalability and flexibility they need to deliver critical data services and workload capabilities that drive business value.” “Formula One racing has always been about finding the competitive edge, and with Aston Martin Cognizant’s return to the F1™ grid this year, we’re embracing an ambitious data-centric strategy to maximize our performance both on and off the track as we seek pole position,” said Otmar Szafnauer, Chief Executive Officer and Team Principal at Aston Martin Cognizant Formula One Team. “By partnering with NetApp to build our data fabric and standardize operations with its world-class hybrid cloud solutions, we’re working to ensure that everything we do—from capturing real-time data on car and component performance to how we streamline factory and engineering operations—is focused on constant improvement and driving the team forward.” NetApp’s latest portfolio innovations announced today include: ONTAP Data Management Software Enhancements: The latest release of ONTAP enables enterprises to autonomously protect against ransomware attacks based on machine learning with integrated preemptive detection and accelerated data recovery. The new release also delivers enterprise-grade performance for SAN and modern workloads with NVMe/TCP support, expanded object storage capabilities, and simplified management. In addition, this latest ONTAP release will power the upcoming NetApp AFF A900, the next-generation high-resiliency all-flash system for business-critical workloads. Enhanced Data Services: With new digital wallet capabilities available in NetApp Cloud Manager, customers can benefit from greater mobility and more visibility into usage of data service licenses across a hybrid cloud, with prepayment of credits enabling streamlined deployment to avoid procurement hassles. Additional updates include enhancements to NetApp Cloud Backup and Cloud Data Sense services, simplified deployment of Cloud Volumes ONTAP with new customer-ready templates, fully embedded Active IQ, and deeper integrations with NetApp Cloud Insights and ONTAP software to support Kubernetes workloads. More Flexible Consumption Options: NetApp Keystone Flex Subscription, an on-premises storage-as-a-service offering with native cloud integration, continues to gain momentum with customers. The offering is now supported on four continents—encompassing petabytes of capacity within just under one year of availability. NetApp is now offering a new freemium service tier for Cloud Volumes ONTAP, providing customers with access to a fully featured, perpetual license to use ONTAP in the cloud for workloads needing less than 500GB of storage. This consumption flexibility gives organizations the freedom to use enterprise-grade data services for small workloads such as Kubernetes clusters at no initial cost. An organization only needs to convert to a subscription when the workload matures and scales. “As a leading IT consultancy specializing in cloud infrastructure and services, our clients are increasingly working with us to reduce CAPEX spending by taking advantage of cloud-like consumption models for their on-premises environments,” said Kent Christensen, Virtual Practice Director for cloud and data center transformation at Insight. “NetApp Keystone helps us provide a truly flexible consumption model for enterprises, serving as a platform to provide business-critical data services across the entire hybrid cloud data fabric, which will be a huge boon for our growing client base." More Accessible Hybrid Cloud Expertise: NetApp is also introducing new Support and Professional Services offerings to make it even easier to access experts for step-by-step guidance as they transition to hybrid cloud. With SupportEdge Advisor for Cloud, NetApp is extending its data center support model to cloud services with rapid, direct access to trained specialists. NetApp Flexible Professional Services (FlexPS) is also available for customers that require on-demand and ongoing support as they transition to a hybrid cloud. With this new subscription-based offering, organizations can get the professional help they need to design and build a data fabric strategy, implement solutions, and optimize their hybrid cloud with predictable costs and avoid procurement delays. About NetApp NetApp is a global cloud-led, data-centric software company that empowers organizations to lead with data in the age of accelerated digital transformation. The company provides systems, software and cloud services that enable them to run their applications optimally from data center to cloud, whether they are developing in the cloud, moving to the cloud, or creating their own cloudlike experiences on premises. With solutions that perform across diverse environments, NetApp helps organizations build their own data fabric and securely deliver the right data, services and applications to the right people—anytime, anywhere.

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