Cloud Deployment Models: A detailed analysis

Abhinav Anand | January 28, 2022 | 1067 views

Cloud Deployment Models

The World of Cloud Computing

What is Cloud Deployment?

Cloud deployment is the process of deploying an application through one or multiple hosting models that leverage the cloud to act as a solution, allowing users to access data. This ideally includes architecting, planning, implementing, and operating various workloads on the cloud. There are different kinds of cloud deployment models used by businesses, enterprises, and even banks according to their requirements.

How Does a Business Advantage from Cloud Computing?

Cloud computing has evolved around data security and storage needs, which gives businesses the freedom to make huge on-demand investments. Cloud computing has also provided businesses with insights into CRM, access to the latest software with ease, and effective monitoring of resources and their optimization.

Key cloud computing aspects that can benefit your business:
  • Provides faster and simplified deployment of resources
  • With only need-based expenditure, it is highly cost-effective
  • It supports growth by leveraging global infrastructure
  • Supports new technologies and innovative digital business models
  • Effective disaster recovery and business continuity of applications
  • Access to applications from any location and on any device
  • Increases operational efficiency and reduces human effort

Understanding Different Types of Cloud Deployment Models

A cloud deployment model is ideally defined as a computing environment where the infrastructure of the deployment resides, how much data you wish to store, and who can control that infrastructure. Each cloud development model caters to various organizational needs, and you must select a cloud model that will satisfy the needs of your organization.

Let’s take a deep dive into the most sought-after cloud deployment models.

Public Cloud

A public cloud deployment model is one in which anyone who has access to the system and services can access them. The public cloud model is one that provides services to the general public or major industry groups over the internet. This model is often used by companies based on subscriptions and those with minimum security concerns.


Advantages and Limitations of Public Cloud:

Advantages:
  • This is the most affordable cloud deployment model available
  • It offers excellent vertical scalability using virtualization
  • Highly reliable, with a minimal possibility of interruption or scope of failure
  • Readily access services like SaaS, PaaS, and IaaS via all internet-enabled devices

Limitations:
  • Data security and privacy concerns lead to vulnerability
  • Usage cap on the available resource due to license limitations
  • With access to a wide range of users, there are chances of malfunctions and outages


Private Cloud

Private cloud deployment models are ideally used for a single organization. It offers businesses the opportunity to meet specific organizational requirements through customization. They are best suited for organizations with a mission-critical process that may require frequent changes.


Advantages and Limitations of Private Cloud:

Advantages:
  • Ideal for storing corporate data which can only be accessed by authorized personnel
  • With a sole proprietorship, you have complete control over services
  • Allows tailored solutions for companies to meet their needs
  • Designed to use with legacy systems that cannot access the public cloud

Limitations:
  • Overhead costs can be underutilized, affecting the model’s overall feasibility
  • Investment requires inexpensive hardware, software, and trained human resources
  • Requires high maintenance and in-house maintenance
  • Scalability is dependent on the type of hardware

Hybrid Cloud

A hybrid cloud deployment model is a combination of two or more cloud architectures. It bridges the private and public cloud deployment models. With a hybrid cloud model, one can enjoy a safe environment while effectively taking advantage of the public cloud’s cost-savings.

Advantages and Limitations of Hybrid Cloud:

Advantages:
  • Offers flexibility in designing personalized solutions that would help meet particular needs
  • With proper data segmentation, the possibility of data theft and cyber-attacks is significantly reduced
  • Overall, data storage using the public cloud provides cost-effectiveness

Limitations:
  • Setting up the hybrid model is complex due to integrating two or more cloud models
  • Possibility of a security breach by public cloud back-door
  • More effective for businesses with a wide range of workload management needs


Community Cloud

The community cloud model is ideal for supporting multiple organizations. This allows a group of organizations to access the systems and services. It is a distributed system curated by integrating the benefits of different clouds to address the specific needs of an industry, community, or business.

Advantages and Limitations of Community Cloud:

Advantages:
  • Multiple organization sharing the cloud model means it would be cost-effective
  • This model provides better security because it restricts access to only a set community of people
  • Using the community model helps you share your resources, infrastructure, etc., with other organizations


Limitations:
  • There is a start-up cost that is incurred to set up this cloud model
  • Technology upgrades are slow and time consuming
  • Community cloud models require consistent maintenance

Multi-Cloud

Multi-cloud is the amalgamation of multiple cloud models from various cloud platforms. This would also refer to distributing cloud assets, software, applications, and more across several cloud environments. A multi-cloud environment looks to eliminate the dependency on any single cloud platform.


Advantages and Limitations of Multi-Cloud:

Advantages:
  • Avoids vendor lock-in, enabling the business to deploy multiple specialists for their software requirements
  • Allows the organization to effectively cater to the increasingly stringent data privacy and governance regulations
  • Provides a high-speed infrastructure and maximizes application performance

Limitations:
  • Growing cloud costs are one of the primary limitations an organization will face
  • Multi-cloud requires specialist management expertise to ensure the IT environment is available and secure
  • There is a chance of security architectures being stretched beyond their limits by multi-cloud strategies

Cloud is about how you do computing, not where you do computing.”

Paul Maritz, VMware CEO


Types of Service Models in Cloud Computing

Cloud computing service models are also known as cloud delivery models. Cloud computing is offered in three types of cloud delivery models, each meeting a unique set of business requirements.

The three types of cloud delivery models are as follows:

Software-as-a-Service (SaaS)

SaaS is also known as “on-demand software.” It is a software where various applications are hosted by the cloud service provider, which allows users to instantly access a collection of applications on the cloud. This service model helps users by not having to manage and maintain software applications across multiple platforms.

Platform-as-a-Service (PaaS)

PaaS offers the user access to a cloud-based environment where they can build and deliver applications without the need to install integrated development environments.
This ideally assists a programmer in developing, testing, running, and managing applications on a cloud computing platform.

Infrastructure-as-a-Service (IaaS)

IaaS is also widely known as Hardware-as-a-Service (HaaS). IaaS aids in delivering networking and extensive databases for storage and servers. It helps users avoid the complexity and cost of buying and managing physical servers.


Choosing a Suitable Cloud Deployment Model for Your Business

While you are choosing your vendor for cloud deployment models, there are specific points that you must keep in mind to ensure that your cloud migration is as smooth as possible.

Understand the tools for your business's needs and scale them according to your requirements. It makes it easier for you to close in on a vendor and the model.

It is also essential that you pay close attention to the flexibility, scalability, and security needs on your roadmap. With all these components figured out, you will be able to effectively decide upon which model to opt for.

Real Business Example: Netflix's decision to go to the cloud was largely motivated because of the ever-increasing volumes of data they were dealing with. On the other hand, using the AWS Cloud, you can rapidly and simply scale your data warehouse up or down to match demand. When Netflix looked at the prices per stream on the AWS Cloud, they discovered that they were a fraction of what they were spending before.

Conclusion

Cloud computing has enormous potential for organizations of all sizes. The ability to choose one or a combination of cloud models ensures the utmost flexibility for any business. An essential component that one must take care of during their transition to the cloud is how the vendor handles your legacy systems.

Once you have all the critical components of cloud computing in place, you will effectively channel all your efforts towards achieving your business goals.

FAQ

What are the benefits of cloud computing?

Cloud computing effectively helps an organization reduce its IT operational costs. With the cloud provider offering all the underlying infrastructure, it takes a significant load off the organizations. Cloud computing is global, convenient, and easily scalable, while also being highly accessible.


How to choose from the different kinds of cloud deployment models available?

While every cloud deployment model has its own unique set of features, you must choose a cloud model as per your requirements. Each cloud model caters to specific conditions. For example, if privacy and security are big concerns for your organization, it is suggested that you choose the private cloud model, as it is the most secure deployment model available.

What are the risks involved in cloud computing?

Some of the most common risks of cloud computing are:
  • Limited visibility of network operations
  • Risk of data breach and cyber-threats
  • Data leakage and loss of data are primary concerns.

Spotlight

PGi

PGi provides business communications that unleash productivity at work. Its cloud-based communications and collaboration platform, GlobalMeet, connects people, teams and enterprises around the world. To learn more about GlobalMeet collaboration, hosted voice, webcast and webinar solutions, visit pgi.com.

OTHER ARTICLES
CLOUD APP DEVELOPMENT

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

Article | March 26, 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.

Read More
CLOUD APP DEVELOPMENT

Why Microsoft Should Spinoff Its Cloud Business

Article | February 21, 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.

Read More
CLOUD APP DEVELOPMENT

Intelligence Giant Upgrading its Cloud Technology

Article | February 7, 2022

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.

Read More

AWS tags US$235 million to expand its cloud infrastructure in Latin America

Article | February 10, 2020

Amazon Web Services (AWS) is raising its stake on cloud computing infrastructure in Latin America. Proof of this is that the IT company will use R$1 billion (around US$235 million) to expand its data center in Sao Paulo. These millions will be used for its Data Processing Center located in that part of Brazil. In addition, a portion of these US$235 million will also be used to increase the services it offers to both public and private parties.The move gives reason to suggest that AWS is upping the ante in the future of startups and tech in the region that rely on cloud services to develop their own products.It launched its cloud center in Brazil in 2011 but it’ll be getting some beefing up thanks to these funds. Moreover, AWS has two Edge networks in São Paulo and two in Rio de Janeiro. As well as one in each of the following cities: Bogotá (Colombia), Buenos Aires (Argentina), and Santiago (Chile).The objective of all of this is to be the region’s prime provider of cloud infrastructure and beat out its competition AKA, Google Cloud Platform and Microsoft’s Azure.

Read More

Spotlight

PGi

PGi provides business communications that unleash productivity at work. Its cloud-based communications and collaboration platform, GlobalMeet, connects people, teams and enterprises around the world. To learn more about GlobalMeet collaboration, hosted voice, webcast and webinar solutions, visit pgi.com.

Related News

MICROSOFT AZURE

Leading Cloud Services Provider CloudIBN Expands Expertise with Microsoft Solutions Partner Competencies for Infrastructure - Azure & Modern Work

CloudIBN | November 25, 2022

CloudIBN, the leading cloud services provider is now one of the first partners to achieve new Microsoft Solutions Partner Competencies for Infrastructure - Azure & Modern Work. CloudIBN has demonstrated technological expertise in delivering secure, scalable, high-performance cloud services and solutions for customers across a range of industries and applications. As a Microsoft Solutions Partner, CloudIBN is committed to leveraging the innovations and expertise of the partnership with Microsoft in order to provide tailored solutions for each customer. With these new competencies - Microsoft Solutions Partner for Infrastructure (Azure) and Microsoft Solutions Partner for Modern Work – IBN demonstrates its commitment to developing cutting-edge cloud solutions on the Azure platform and modern work best practices. "We are focused on SMBs as well as large enterprises that are in need of any service starting from cloud migration to cloud led digital transformation. Heavily focused on Microsoft Azure, we are also open to offering hybrid cloud solutions and multi cloud services with our expanding AWS capabilities and portfolio," Ajay Mehta, the founder and CEO of CloudIBN and IBN Technologies With more than 22 Years of experience, CloudIBN is trusted by many global enterprises to deliver efficient cloud services. Innovative Cloud services and platforms by CloudIBN like Managed Cloud Security, Migration, Managed Services, Infrastructure as Code to Deliver Cloud Native and legacy Applications have helped companies meet business objectives via a robust, secure, and affordable cloud environment. These services allow companies to scale their business operations while keeping costs down quickly and efficiently. With a team of experienced, expert, and adaptive professionals, led by Founder Mr. Ajay Mehta, CloudIBN is uniquely positioned to help businesses take advantage of today's most cutting-edge technology solutions. With CloudIBN, the leading cloud services provider, in partnership with Microsoft, SMBs and enterprises can look forward to services like: Infrastructure Assessment and Azure Cloud Adoption: This Service will help organizations to identify areas of improvement and develop a roadmap towards optimization & migrate their existing workloads and applications onto cloud infrastructure, allowing them to take advantage of scalability, reliability, and cost-effectiveness that only the cloud can offer 24*7 Azure Managed Services: Expert Managed Services will assist organisations to achieve high availability, hyper agility, zero disruption, advanced security- compliance, and continuous optimization across business application ecosystem. Azure Managed Cloud Security - IAM, SIEM, SOAR, AD – Security services include auditing existing systems, developing custom security policies and procedures, monitoring virtual resources for threats with Tools like Sentinel, providing access control solutions with tool like Active Directory, performing penetration tests, as well as managing compliance with industry standards such as PCI DSS or HIPAA. Azure Backup and Disaster Service: Provides businesses with a comprehensive solution to protect data in the event of an outage or disaster Azure Optimisation and Well Architected Framework: Cloud IBN FinOps Service for Azure will help customers to reduce their cloud consumption costs by providing an effective governance process. This will include identifying and monitoring wasteful spending, as well as providing recommendations on how to optimize costs. In addition, the service will provide support for Azure billing and invoicing. Azure Application Modernisation: This Service helps organisation optimise cloud by modernising applications & data to fit a consumption-based cloud model. Azure DevOps: Certified DevOps engineers help customers to ship superior-quality software faster through streamlined processes, new technologies, and automated pipelines Microsoft 365 - Consulting and Migration Services: Flexible solutions tailored to each customer's unique needs, enabling businesses to leverage the power of Microsoft 365 for better collaboration, communication, and productivity With organizations needing to do away with legacy technologies, it is very important that business owners and top management groups at enterprise level start looking to invest in the future, while focusing on their core business strengths. CloudIBN, as a leading cloud services provider, helps clients at this stage with its professional and value-added services with a focus on cost-effective engagement, quality solutions and timely deliverables. The CloudIBN team comprises of certified and expert cloud architects, engineers for infrastructure, security and automation services who are proactive in their support and managed services. This team provides the best possible experience for customers. "With quality and security assurance of ISO 9001:2015, 27001:2013, dedicated quality policy, an experienced, certified and qualified team of cloud experts, and an established 24*7, 365 days Dedicated Support process, CloudIBN is always ready to help clients grow as per their needs," said Mr. Mehta. About CloudIBN: CloudIBN is a Microsoft Azure and AWS Partner and cloud services provider trusted by many global enterprises to deliver efficient cloud services. Headquartered in India with offices in the US, UK, and Singapore, and CloudIBN serves clients internationally and 24*7. The team drives cloud transformation for businesses, globally. If you're looking to adopt or migrate to the cloud, CloudIBN is your go-to partner.

Read More

CLOUD APP DEVELOPMENT

Sisu Expands Strategic Partnership With Google Cloud

Sisu | October 12, 2022

Sisu Data, the decision intelligence company, is expanding its partnership with Google Cloud to help more organizations increase analyst efficiency, fuel decision-making, and drive metric improvement. Today at Google Cloud Next, Sisu announced that Google Cloud will provide easy access to Sisu capabilities inside Google Cloud’s Looker, BigQuery, and data cloud products to enable users to benefit from AI/ML-powered automated analytics. Joint customers of the Sisu Decision Intelligence Engine and Google Cloud’s Looker can already leverage existing integrations to accelerate data investigation and diagnose why key metrics change. This announcement expands the integration to make it even simpler to leverage AI/ML-powered automated analytics for governed, modeled data in Google Cloud. Enterprises today are storing more data than ever before—more data than they can effectively put to use. According to Gartner®, “The only thing growing faster than companies’ appetite for insights is the data volume itself. Consuming and making sense of all that data with an army of business users armed with these tools will no longer be enough. The tools need the help of machines to accelerate the ingestion and interpretation of data and the sharing of resulting insights with business users.”* To help companies cut through the noise of growing data volumes, the Sisu Decision Intelligence Engine augments analytical workflows with AI/ML-powered automated analytics—delivering statistically significant insights on cloud-scale data in seconds. “Sisu’s mission to operationalize the world’s data is a bold goal, and we’re excited about the impact this deep integration with Google Cloud will have for customers, Google Cloud is a clear leader in cloud analytics and data infrastructure, and we’re excited to power ML-driven insights across their customer base.” Peter Bailis, Founder and CEO of Sisu The strategic partnership brings Sisu’s decision intelligence capabilities and Google Cloud’s data analytics closer together, augmenting analytics workflows to help more people: Accelerate answers: Leverage predefined governed data and metrics in Looker’s semantic layer, LookML, to run ML-powered analyses with Sisu—closing the loop between raw data to insight. Democratize machine learning: ML-powered automated capabilities in Sisu enable users without data science expertise to run advanced analytics and cut through the noise of growing data volume. Adapt and act: Quickly iterate on questions via the familiar Looker interface while running diagnostic analyses via Sisu’s machine learning powered algorithms. “Google Cloud is committed to going beyond traditional business intelligence to help customers innovate, solve, and succeed with data,” says Bronwyn Hastings, Vice President, ISV Ecosystem & Channels at Google Cloud. “By bringing Google Cloud and Sisu closer together, we can help more people leverage augmented analytics to deliver comprehensive insights at the speed organizations need to make critical business decisions.” “At Overstock, we trust Sisu and Google Cloud to help us champion a data culture and make the best decisions,” shares Dave Nielsen, President at Overstock. “The expanding partnership between Sisu and Google Cloud will make it even easier for us to drive strategic decisions with data and deliver the best customer experience.” “Today’s most successful organizations know the value of operationalizing cloud data,” says Ben Horowitz, cofounder and general partner at Andreessen Horowitz. “Bringing Sisu and Google Cloud closer together creates a clear path for more companies to succeed by delivering real-time answers to their cloud-scale questions.” About Sisu The Sisu Decision Intelligence Engine supercharges everyone with AI/ML-powered automated analytics to deliver fast, comprehensive, and actionable insights on cloud-scale data. With Sisu, it’s easy for anyone to leverage advanced analytics—across workflows—to make the right decisions and drive business improvement. Data-forward organizations like Overstock, Samsung, Wayfair, Gusto, Landing, and Udacity rely on Sisu to make decisions to optimize their customer journeys, accelerate revenue growth, and reduce incidents. Based on years of research at Stanford University, Sisu’s mission is to operationalize the world’s data to enable everyone to make the best possible decisions.

Read More

AWS INFRASTRUCTURE

Redis Extends Strategic Collaboration Agreement with AWS

Redis | November 23, 2022

Redis, the real-time data platform, announced today a multi-year strategic collaboration agreement (SCA) with Amazon Web Services, Inc. (AWS). Building on the companies’ existing work together, this agreement will make it easier and faster for customers to adopt Redis Enterprise Cloud’s real-time data processing capabilities with the global reach of AWS services. This SCA is designed to deliver new product support, industry-specific solutions, and go-to-market strategies beginning with customers migrating on-premises open source or relational databases to the cloud. Additionally, Redis’ Enterprise Cloud solution that runs on AWS services will make it easier for customers to modernize or build entirely new, intelligent applications. Ultimately this focus will empower customers––ranging from the financial services, gaming, retail, and healthcare/life sciences industries to create highly available geo-distributed applications that require sub-millisecond performance; for example indexing and complex queries of frequently read data. “Today’s businesses must be able to leverage data as it’s created. Redis Enterprise Cloud on AWS allows developers to deploy and run modern applications with real-time, right now performance from anywhere on the planet,” said Jason Forget, Chief Revenue Officer and President, Redis. “While Redis has been working closely with AWS for years, we view this collaboration as a way to further customers' desire to build and deploy at global scale with the local latency required by modern applications.” Redis currently uses AWS’s global reach and go-to-market programs to educate and incentivize Redis Enterprise Cloud deployments on AWS. Customers can purchase Redis Enterprise Cloud in AWS Marketplace which offers a simplified and consolidated bill that combines their Redis Enterprise Cloud usage with their AWS consumption. Redis and AWS: Powering the Global Real-Time Economy “Our machine learning models deliver multiple recommendations during a single user session. We needed a high-performance database in order to handle these read and write operations that could be integrated with our machine learning platform, Amazon SageMaker. Redis Enterprise Cloud on AWS solves this issue very well for us. I don't think we've ever completed a migration that quickly with such a high volume of data,” said Daniel Galinkin, Head of Machine Learning Engineering at iFood, a Brazilian online food ordering and delivery platform. “We need to be able to take a large amount of reference data and be able to use it for real-time decision making. Redis Enterprise Cloud on AWS was the ideal solution to meet our technical requirements as we evolve from our own data centers to also leverage AWS infrastructure. We’re able to support multiple data centers and AWS Regions with Active-Active Redis to optimize for the lowest local latency, provide durability, and control rate limiting to deliver the best experience for our customers. We’ve extended Redis Enterprise Cloud on AWS for feature calculations, along with Amazon DynamoDB, to structure, store, and quickly access the data to make calculations for a model,” said Humberto Morales, Chief Architect at Telesign, a digital identity and communications platform-as-a-service. “AWS and Redis have a history of working together. We look forward to expanding our relationship and continuing to deliver innovative solutions for our customers, With this new strategic collaboration between AWS and Redis, we are focused on helping our customers meet their needs seamlessly, and enabling businesses to utilize their data more effectively.” Ruba Borno, Vice President, Worldwide Channels and Alliances at AWS For details on where to find and connect with Redis at AWS re:Invent read the Redis blog or pre-schedule a meeting with an expert in Booth #845. About Redis Data is the lifeline of every business, and Redis helps organizations reimagine how fast they can process, analyze, make predictions, and take action on the data they generate. Redis provides a competitive edge to any business by delivering open source and enterprise-grade data platforms to power applications that drive real-time experiences at any scale. Developers rely on Redis to build performance, scalability, reliability, and security into their applications. Born in the cloud-native era, Redis uniquely enables users to unify data across multi-cloud, hybrid and global applications to maximize business potential. Learn how Redis can give you this edge at redis.com.

Read More

MICROSOFT AZURE

Leading Cloud Services Provider CloudIBN Expands Expertise with Microsoft Solutions Partner Competencies for Infrastructure - Azure & Modern Work

CloudIBN | November 25, 2022

CloudIBN, the leading cloud services provider is now one of the first partners to achieve new Microsoft Solutions Partner Competencies for Infrastructure - Azure & Modern Work. CloudIBN has demonstrated technological expertise in delivering secure, scalable, high-performance cloud services and solutions for customers across a range of industries and applications. As a Microsoft Solutions Partner, CloudIBN is committed to leveraging the innovations and expertise of the partnership with Microsoft in order to provide tailored solutions for each customer. With these new competencies - Microsoft Solutions Partner for Infrastructure (Azure) and Microsoft Solutions Partner for Modern Work – IBN demonstrates its commitment to developing cutting-edge cloud solutions on the Azure platform and modern work best practices. "We are focused on SMBs as well as large enterprises that are in need of any service starting from cloud migration to cloud led digital transformation. Heavily focused on Microsoft Azure, we are also open to offering hybrid cloud solutions and multi cloud services with our expanding AWS capabilities and portfolio," Ajay Mehta, the founder and CEO of CloudIBN and IBN Technologies With more than 22 Years of experience, CloudIBN is trusted by many global enterprises to deliver efficient cloud services. Innovative Cloud services and platforms by CloudIBN like Managed Cloud Security, Migration, Managed Services, Infrastructure as Code to Deliver Cloud Native and legacy Applications have helped companies meet business objectives via a robust, secure, and affordable cloud environment. These services allow companies to scale their business operations while keeping costs down quickly and efficiently. With a team of experienced, expert, and adaptive professionals, led by Founder Mr. Ajay Mehta, CloudIBN is uniquely positioned to help businesses take advantage of today's most cutting-edge technology solutions. With CloudIBN, the leading cloud services provider, in partnership with Microsoft, SMBs and enterprises can look forward to services like: Infrastructure Assessment and Azure Cloud Adoption: This Service will help organizations to identify areas of improvement and develop a roadmap towards optimization & migrate their existing workloads and applications onto cloud infrastructure, allowing them to take advantage of scalability, reliability, and cost-effectiveness that only the cloud can offer 24*7 Azure Managed Services: Expert Managed Services will assist organisations to achieve high availability, hyper agility, zero disruption, advanced security- compliance, and continuous optimization across business application ecosystem. Azure Managed Cloud Security - IAM, SIEM, SOAR, AD – Security services include auditing existing systems, developing custom security policies and procedures, monitoring virtual resources for threats with Tools like Sentinel, providing access control solutions with tool like Active Directory, performing penetration tests, as well as managing compliance with industry standards such as PCI DSS or HIPAA. Azure Backup and Disaster Service: Provides businesses with a comprehensive solution to protect data in the event of an outage or disaster Azure Optimisation and Well Architected Framework: Cloud IBN FinOps Service for Azure will help customers to reduce their cloud consumption costs by providing an effective governance process. This will include identifying and monitoring wasteful spending, as well as providing recommendations on how to optimize costs. In addition, the service will provide support for Azure billing and invoicing. Azure Application Modernisation: This Service helps organisation optimise cloud by modernising applications & data to fit a consumption-based cloud model. Azure DevOps: Certified DevOps engineers help customers to ship superior-quality software faster through streamlined processes, new technologies, and automated pipelines Microsoft 365 - Consulting and Migration Services: Flexible solutions tailored to each customer's unique needs, enabling businesses to leverage the power of Microsoft 365 for better collaboration, communication, and productivity With organizations needing to do away with legacy technologies, it is very important that business owners and top management groups at enterprise level start looking to invest in the future, while focusing on their core business strengths. CloudIBN, as a leading cloud services provider, helps clients at this stage with its professional and value-added services with a focus on cost-effective engagement, quality solutions and timely deliverables. The CloudIBN team comprises of certified and expert cloud architects, engineers for infrastructure, security and automation services who are proactive in their support and managed services. This team provides the best possible experience for customers. "With quality and security assurance of ISO 9001:2015, 27001:2013, dedicated quality policy, an experienced, certified and qualified team of cloud experts, and an established 24*7, 365 days Dedicated Support process, CloudIBN is always ready to help clients grow as per their needs," said Mr. Mehta. About CloudIBN: CloudIBN is a Microsoft Azure and AWS Partner and cloud services provider trusted by many global enterprises to deliver efficient cloud services. Headquartered in India with offices in the US, UK, and Singapore, and CloudIBN serves clients internationally and 24*7. The team drives cloud transformation for businesses, globally. If you're looking to adopt or migrate to the cloud, CloudIBN is your go-to partner.

Read More

CLOUD APP DEVELOPMENT

Sisu Expands Strategic Partnership With Google Cloud

Sisu | October 12, 2022

Sisu Data, the decision intelligence company, is expanding its partnership with Google Cloud to help more organizations increase analyst efficiency, fuel decision-making, and drive metric improvement. Today at Google Cloud Next, Sisu announced that Google Cloud will provide easy access to Sisu capabilities inside Google Cloud’s Looker, BigQuery, and data cloud products to enable users to benefit from AI/ML-powered automated analytics. Joint customers of the Sisu Decision Intelligence Engine and Google Cloud’s Looker can already leverage existing integrations to accelerate data investigation and diagnose why key metrics change. This announcement expands the integration to make it even simpler to leverage AI/ML-powered automated analytics for governed, modeled data in Google Cloud. Enterprises today are storing more data than ever before—more data than they can effectively put to use. According to Gartner®, “The only thing growing faster than companies’ appetite for insights is the data volume itself. Consuming and making sense of all that data with an army of business users armed with these tools will no longer be enough. The tools need the help of machines to accelerate the ingestion and interpretation of data and the sharing of resulting insights with business users.”* To help companies cut through the noise of growing data volumes, the Sisu Decision Intelligence Engine augments analytical workflows with AI/ML-powered automated analytics—delivering statistically significant insights on cloud-scale data in seconds. “Sisu’s mission to operationalize the world’s data is a bold goal, and we’re excited about the impact this deep integration with Google Cloud will have for customers, Google Cloud is a clear leader in cloud analytics and data infrastructure, and we’re excited to power ML-driven insights across their customer base.” Peter Bailis, Founder and CEO of Sisu The strategic partnership brings Sisu’s decision intelligence capabilities and Google Cloud’s data analytics closer together, augmenting analytics workflows to help more people: Accelerate answers: Leverage predefined governed data and metrics in Looker’s semantic layer, LookML, to run ML-powered analyses with Sisu—closing the loop between raw data to insight. Democratize machine learning: ML-powered automated capabilities in Sisu enable users without data science expertise to run advanced analytics and cut through the noise of growing data volume. Adapt and act: Quickly iterate on questions via the familiar Looker interface while running diagnostic analyses via Sisu’s machine learning powered algorithms. “Google Cloud is committed to going beyond traditional business intelligence to help customers innovate, solve, and succeed with data,” says Bronwyn Hastings, Vice President, ISV Ecosystem & Channels at Google Cloud. “By bringing Google Cloud and Sisu closer together, we can help more people leverage augmented analytics to deliver comprehensive insights at the speed organizations need to make critical business decisions.” “At Overstock, we trust Sisu and Google Cloud to help us champion a data culture and make the best decisions,” shares Dave Nielsen, President at Overstock. “The expanding partnership between Sisu and Google Cloud will make it even easier for us to drive strategic decisions with data and deliver the best customer experience.” “Today’s most successful organizations know the value of operationalizing cloud data,” says Ben Horowitz, cofounder and general partner at Andreessen Horowitz. “Bringing Sisu and Google Cloud closer together creates a clear path for more companies to succeed by delivering real-time answers to their cloud-scale questions.” About Sisu The Sisu Decision Intelligence Engine supercharges everyone with AI/ML-powered automated analytics to deliver fast, comprehensive, and actionable insights on cloud-scale data. With Sisu, it’s easy for anyone to leverage advanced analytics—across workflows—to make the right decisions and drive business improvement. Data-forward organizations like Overstock, Samsung, Wayfair, Gusto, Landing, and Udacity rely on Sisu to make decisions to optimize their customer journeys, accelerate revenue growth, and reduce incidents. Based on years of research at Stanford University, Sisu’s mission is to operationalize the world’s data to enable everyone to make the best possible decisions.

Read More

AWS INFRASTRUCTURE

Redis Extends Strategic Collaboration Agreement with AWS

Redis | November 23, 2022

Redis, the real-time data platform, announced today a multi-year strategic collaboration agreement (SCA) with Amazon Web Services, Inc. (AWS). Building on the companies’ existing work together, this agreement will make it easier and faster for customers to adopt Redis Enterprise Cloud’s real-time data processing capabilities with the global reach of AWS services. This SCA is designed to deliver new product support, industry-specific solutions, and go-to-market strategies beginning with customers migrating on-premises open source or relational databases to the cloud. Additionally, Redis’ Enterprise Cloud solution that runs on AWS services will make it easier for customers to modernize or build entirely new, intelligent applications. Ultimately this focus will empower customers––ranging from the financial services, gaming, retail, and healthcare/life sciences industries to create highly available geo-distributed applications that require sub-millisecond performance; for example indexing and complex queries of frequently read data. “Today’s businesses must be able to leverage data as it’s created. Redis Enterprise Cloud on AWS allows developers to deploy and run modern applications with real-time, right now performance from anywhere on the planet,” said Jason Forget, Chief Revenue Officer and President, Redis. “While Redis has been working closely with AWS for years, we view this collaboration as a way to further customers' desire to build and deploy at global scale with the local latency required by modern applications.” Redis currently uses AWS’s global reach and go-to-market programs to educate and incentivize Redis Enterprise Cloud deployments on AWS. Customers can purchase Redis Enterprise Cloud in AWS Marketplace which offers a simplified and consolidated bill that combines their Redis Enterprise Cloud usage with their AWS consumption. Redis and AWS: Powering the Global Real-Time Economy “Our machine learning models deliver multiple recommendations during a single user session. We needed a high-performance database in order to handle these read and write operations that could be integrated with our machine learning platform, Amazon SageMaker. Redis Enterprise Cloud on AWS solves this issue very well for us. I don't think we've ever completed a migration that quickly with such a high volume of data,” said Daniel Galinkin, Head of Machine Learning Engineering at iFood, a Brazilian online food ordering and delivery platform. “We need to be able to take a large amount of reference data and be able to use it for real-time decision making. Redis Enterprise Cloud on AWS was the ideal solution to meet our technical requirements as we evolve from our own data centers to also leverage AWS infrastructure. We’re able to support multiple data centers and AWS Regions with Active-Active Redis to optimize for the lowest local latency, provide durability, and control rate limiting to deliver the best experience for our customers. We’ve extended Redis Enterprise Cloud on AWS for feature calculations, along with Amazon DynamoDB, to structure, store, and quickly access the data to make calculations for a model,” said Humberto Morales, Chief Architect at Telesign, a digital identity and communications platform-as-a-service. “AWS and Redis have a history of working together. We look forward to expanding our relationship and continuing to deliver innovative solutions for our customers, With this new strategic collaboration between AWS and Redis, we are focused on helping our customers meet their needs seamlessly, and enabling businesses to utilize their data more effectively.” Ruba Borno, Vice President, Worldwide Channels and Alliances at AWS For details on where to find and connect with Redis at AWS re:Invent read the Redis blog or pre-schedule a meeting with an expert in Booth #845. About Redis Data is the lifeline of every business, and Redis helps organizations reimagine how fast they can process, analyze, make predictions, and take action on the data they generate. Redis provides a competitive edge to any business by delivering open source and enterprise-grade data platforms to power applications that drive real-time experiences at any scale. Developers rely on Redis to build performance, scalability, reliability, and security into their applications. Born in the cloud-native era, Redis uniquely enables users to unify data across multi-cloud, hybrid and global applications to maximize business potential. Learn how Redis can give you this edge at redis.com.

Read More

Events