Top 8 Kubernetes Best Practices to Get the Most out of It

SAYANTANI BHATTACHARYA | June 23, 2021 | 183 views

With the growth of cloud technology, several enterprises are now aware of the benefits of adopting hybrid and multi-cloud models. However, when shifted between different cloud environments, they face a set of challenges to ensure the applications' reliable performance. Thus, the introduction of the concept of containers in cloud computing comes into action. Containerization is simply the clustering of an application and all its components into a single, portable suite. With containerization rapidly gaining popularity in cloud computing, leading providers, including Amazon Web Services (AWS), Azure, and Google, offer container services and orchestration tools to accomplish container creation and deployment. Based on Forrester's 2020 Container Adoption Survey, about 65% of entrepreneurs are already using or are planning to implement container orchestration platforms as part of their IT transformation approach. Kubernetes is one of the most known and future-ready, portable container orchestration platforms developed by Google. It is a scalable, reliable, robust, and secured platform, which can manage and accommodate high traffic for cloud applications and microservices. For optimal performance, implementing Kubernetes best practices and following a tailored configuration model is significant to ensure the optimal platform efficiency your enterprise requires.

This article will highlight the top eight best practices of Kubernetes that will help you orchestrate, scale, control, and automate your enterprise applications. But before we start, let us know the basic concept of Kubernetes. 

What is Kubernetes?

Kubernetes (a.k.a. k8s or "Kube") is Google's open-source container management platform spanning public, private, and hybrid clouds that automates numerous manual processes involved in scaling, deploying, and managing the containerized applications. Kubernetes is an ideal platform for hosting cloud-native applications that require quick scaling, like real-time data streaming through Apache Kafka. In simple words, you can cluster together groups of hosts running Linux containers, and Kubernetes supports you in managing those clusters quickly and efficiently. Gartner forecasts that worldwide container management revenue will grow sturdily from a small base of $465.8 million in 2020 to register $944 million by 2024. It seems that the popularity of Kubernetes across the enterprises will make the forecast achievable.

Using Kubernetes, outsourcing the data centers to public cloud service providers, or providing web hosting to optimize software development processes can become manageable. Moreover, website and mobile applications with intricate custom codes can deploy Kubernetes on their product hardware for a cost-effective solution. Moreover, it helps you completely implement and trust a container-based infrastructure in production environments, where you need to manage the containers that run the applications and ensure zero downtime. For example, if a container goes down and another container needs to start, Kubernetes handles the situation with its distributed system framework efficiently. 

Reasons Behind the Popularity of Kubernetes Strategy

Kubernetes is in the headlines, and we hear about it on social media or at user groups and conferences. So, what is the reason behind its popularity? According to the Kubernetes service providers, it has become the standard for container management platform as it offers several advantages:
  • Scalability: It offers easy scalability of the containers across many servers in a cluster through the auto-scaler service, thereby maximizing resource utilization with a simple command, with a UI, or automatically based on CPU utilization.
  • Flexibility: The flexibility of Kubernetes expands for applications to operate consistently and efficiently irrespective of the complexity of the requirement.
  • Storage Orchestration: The open-source attribute of Kubernetes gives you the liberty to take advantage of storage orchestration from different cloud environments and shift the workloads effortlessly to their destinations.
  • Automation: Using Kubernetes, you can automatically place containers as their resource requirements without any availability concerns. It helps to combine critical and best-effort workloads, to drive the utilization and save resources.
  • Health-Check and Self Heal: Kubernetes allows you to perform the health-check and self-heal your containers with auto-replacement, auto-restart, auto-replication, and auto-scaling properties. 
  • Reliability and Security: Kubernetes offers tolerance and clustering of significant errors, bringing stability and reliability to the project. Built-in data encryption, vulnerability scanning, etc., are some of the services of Kubernetes that enhance its security aspect.
  • Self-discovery: Kubernetes allows self-discovery by providing their IP address to the containers and providing a single DNS name to a group of containers.
  • Roll Out and Roll Back Automation: Kubernetes gradually rolls out changes to your application or its configuration while monitoring the application's health to ensure it does not kill all your instances at the same time. Kubernetes rolls back the changes in case of any discrepancy.

8 Kubernetes Best Practices for Efficient Deployment

According to Red Hat's "The State of Enterprise Open-Source Report," 85% of the interviewees agree that Kubernetes is the key to cloud-native application strategies. Kubernetes has evolved from the code that Google used to manage its data centers at scale. Nowadays, organizations use Kubernetes for complete data center outsourcing, web/mobile applications, SaaS support, cloud web hosting, or high-performance computing. For any platform to operate and perform at its optimum capacity, there are certain best practices that you should consider. In this article, we will discuss a few of the best practices of Kubernetes that can improve the efficiency of your production environment.

Use The Latest Version and Enable RBAC

Kubernetes releases new features, bug fixes, and platform upgrades with its consistent version update. As a rule, you must always use the latest version to make sure that you have optimized your Kubernetes. By upgrading to the newest release, you will get technical support and a host of advanced security features to control the potential threats while fixing reported vulnerabilities.

Enabling RBAC (Role-Based Access Control) will help you control access and admittance to users and applications on the system or network. The introduction of RBAC in the Kubernetes 1.8 version helped to create authorization policies using rbac.authorization.k8s.io API group. It allows Kubernetes to permit access to the user, add/remove approvals, set up regulations, etc.

Organize With Kubernetes Namespaces

A namespace is a kind of virtual cluster that helps your Kubernetes environment organize, secure, and perform. Thus, it can be considered one of the Kubernetes best practices that enables you to create logical partitions and apply separation of your resources and restrict the scope of user permissions. Thus, you can use it in a multi-user environment spanning multiple teams or projects.

Namespaces cannot be nested inside one another, and each Kubernetes resource must be in its own unique namespace. However, it is not essential to use multiple namespaces to distinguish slightly unlike resources, such as different releases of the same software: use labels to separate resources within the identical namespace.

Consider Small Container Images

Using base images may include the unnecessary inclusion of additional packages and libraries. Hence it is significant to use smaller container images as it helps you to create a high-performing platform quickly. As one of the Kubernetes best practices, you can consider Alpine Linux Images, which are much smaller than the base images. Alpine Images have access to a package repository that has necessary add-ons. You can add essential packages and libraries for your application as required. Smaller container images are also less vulnerable to security threats as they have lesser attack surfaces.

Setting Up Health Checks

Managing extensive distributed systems can be complex, especially when things are not running perfectly. The primary reason for the complication in the distributed system is that multiple operations work together for the system to function. So, in case of any discrepancy, the system has to identify and fix it automatically. Kubernetes health checks are simple ways to ensure that application instances are working.

Health checks are the effective Kubernetes best practices to analyze whether your system is operational or not. If an instance is non-operational or failed, then other services should not access or communicate with it. As an alternative, the system can divert the requests to some other ready and operational instances. Moreover, the system should bring your app back to a healthy state. Kubernetes provides you two types of health checks, and it is significant to recognize their differences and utilities.

Readiness probes allow Kubernetes to identify whether the application is ready to serve the traffic before permitting the traffic to a pod (most miniature Kubernetes objects). It fundamentally shows the availability of the pod to accept the workload traffic and respond to requests. In case the readiness probe fails, Kubernetes halts the traffic towards the pod until it is successful. 

The liveliness probe allows Kubernetes to perform a health check to verify whether the application operates as desired. In case it fails, Kubernetes removes the pod and initiates its replacement.

Setting Kubernetes Resource Usage (Requests and Limits)

Kubernetes uses the process requests and limits to control resource usages such as CPU and memory. If a container requests a resource, Kubernetes will only map the schedule on a node to provide the requested resource. Whereas limits help to make sure a container never goes beyond a specific request value. The container will be automatically restricted if it goes beyond the limit. 

To get a total resource value of Kubernetes pods (usually available in a group) comprising one or multiple containers, you need to add the limits and requests for each container. While your Kubernetes cluster might be operational without setting the resource 'requests and limits', you will start getting stability issues as the workloads start scaling. Adding 'requests and limits' will help you to get the optimal benefit of Kubernetes.

Discovering External Services on Kubernetes

If you want to discover and access the services living outside your Kubernetes cluster, you can do it by using the external service endpoint or Config Maps directly in your code. Even if you are unwilling to identify those today, there can be a compulsion to do so tomorrow. Mapping your external services to the internal ones will enhance the flexibility to transmit these services into the cluster in the future while reducing recoding efforts. Additionally, it will help you to easily manage and understand the external services your organization is using.

Database Running- Whether to consider or not?

Running a database on Kubernetes can get you some benefits regarding the automation Kubernetes provides to keep the database application active. However, it would help if you analyze them before you start. There can be failure incidents because the pods (database app containers) are susceptible to letdowns compared to a traditionally hosted or fully managed database. Databases with concepts like sharing, failover elections, and replication built into its DNA will be easier to run on Kubernetes. 

Thus, simple questions like the following will help to draw a Kubernetes strategy to consider whether to run a database or not.
  • Are the features of the database Kubernetes-friendly?
  • Are the workloads of the database compatible with the Kubernetes environment?
  • What is the limit of the Ops workload acceptable in the Kubernetes environment?
If the answers to all the questions are affirmative, your external database is ready to run on the Kubernetes environment. Otherwise, you should consider other platforms such as managed DB or VM. 

Termination Practices

Addressing failures is inevitable in distributed systems. Kubernetes helps in handling failures by using controllers that can keep an eye on the state of your system and restart the halted services. However, Kubernetes can also often compulsorily terminate your application as part of the regular operation of the system. It can terminate Kubernetes objects for various reasons because enabling your application to handle these terminations efficiently is essential to create a steady plan and provide a great user experience.

Winding Up

The CNCF survey report 2020 highlights the progressive inclination towards adapting the Kubernetes platform. The survey received 1324 responses inferred in 2020, where 91% of respondents report using Kubernetes, 83% of them are in production, showing a steady upsurge of 78% from last year and 58% in 2018. Adhering to the Kubernetes best practices will provide you an opportunity to take your production environment to the next level and meet the business requirements. In addition, it will have a positive impact on the Kubernetes market size.

Several top marketers and service providers are doing their best to ensure their customers get the desired benefits for Kubernetes deployment in production. Moreover, they also pitch for services on Kubernetes and allow businesses to gain the most out of it. In the latest interview with Media 7, Red Hat's Director of Product Marketing, Irshaad Raihan says, "We look to inspire great ideas and help our customers reach for the impossible. Once we have buy-in into the "why," we arm customers with the most relevant data points to help them make a purchase decision around product and vendor."

FAQ’s

What exactly is Kubernetes?

Kubernetes is an open-source, portable, and scalable platform for container orchestration, automating several manual tasks for managing the containerized workloads. Kubernetes allows clustering running Linux containers and supports managing those clusters quickly and efficiently.

Why is Kubernetes so popular?

Kubernetes has become one of the efficient container management systems as it offers several advantages, such as easy scaling of the containers across many servers in a cluster. It helps in the easy movement of workloads between different types of environments. It also offers high error tolerance, which contributes to the stability and reliability of the workload and has built-in security tools that provide enhanced safety to the platform.

What is an example of Kubernetes?

One of the most popular Kubernetes use cases is the popular game Pokemon Go. Niantic Inc. was the developer and witnessed more than 500 million downloads with 20 million active users every day. Pokemon Go's parent company was not expecting this kind of traffic. As an advanced solution, they opted for Google Container Engine powered by Kubernetes.

Where is Kubernetes used?

You can use Kubernetes to manage microserver architecture. Kubernetes simplifies various facets of running a service-oriented application infrastructure. For instance, it can control the allocation of resources and drive traffic for cloud applications and microservices.

Spotlight

OnRamp

OnRamp is a leading data center services company that specializes in high security and compliant hosting. Our suite of solutions helps organizations meet the most rigorous compliance standards, including HIPAA, PCI, SOX, FISMA and FERPA.

OTHER ARTICLES
CLOUD SECURITY

5 Epic Cloud Communications Solutions to Scale Your Business

Article | August 4, 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.

Read More
CLOUD SECURITY

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

Article | July 11, 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 | July 14, 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

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.

Read More

Spotlight

OnRamp

OnRamp is a leading data center services company that specializes in high security and compliant hosting. Our suite of solutions helps organizations meet the most rigorous compliance standards, including HIPAA, PCI, SOX, FISMA and FERPA.

Related News

CLOUD STORAGE

Databricks and Google Cloud Announces New Partnership

Google Cloud, Databricks | February 19, 2021

Databricks and Google Cloud today declared another association that will bring to Databricks clients a profound combination with Google's BigQuery stage and Google Kubernetes Engine. This will permit Databricks' clients to bring their data lakes and the service’s analytics capabilities to Google Cloud. Databricks as of now include profound incorporation with Microsoft Azure — one that works out in a good way past this new organization with Google Cloud — and the organization is likewise an AWS accomplice. By adding Google Cloud to this rundown, the organization would now be able to profess to be the "solitary brought together information stage accessible across every one of the three clouds (Google, AWS and Azure)." It’s worth stressing, though, that Databricks’ Azure integration is a bit of a different deal from this new partnership with Google Cloud. “Azure Databricks is a first-party Microsoft Azure service that is sold and supported directly by Microsoft. The first-party service is unique to our Microsoft partnership. Customers on Google Cloud will purchase directly from Databricks through the Google Cloud Marketplace,” a company spokesperson told me. That makes it a bit more of a run-of-the-mill partnership compared to the Microsoft deal, but that doesn’t mean the two companies aren’t just as excited about it. “We’re delighted to deliver Databricks’ lakehouse for AI and ML-driven analytics on Google Cloud,” said Google Cloud CEO Thomas Kurian (or, more likely, one of the company’s many PR specialists who likely wrote and re-wrote this for him a few times before it got approved). “By combining Databricks’ capabilities in data engineering and analytics with Google Cloud’s global, secure network—and our expertise in analytics and delivering containerized applications—we can help companies transform their businesses through the power of data.” About Databricks As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

Read More

VMware eases container deployment on premise and in the cloud

December 08, 2014

Virtualisation heavyweight VMware announced it has bolstered technology integrations with Docker, Kubernetes, and Mesosphere in a bid to open up its platform to a range of containerisation technologies. The move comes as Linux containers start to pick up traction in the enterprise.

Read More

Google joins OpenStack to build bridges between public and private clouds

Google | July 16, 2015

Google has officially signed up to sponsor the OpenStack Foundation, the first of the big three – Google, Microsoft and AWS – to formally throw its weight behind the open source cloud orchestration software. Analysts believe the move will improve support for Linux containers across public and private cloud environments.Google has already set to work integrating Kubernetes with OpenStack with pure-play OpenStack software vendor Mirantis, a move the company said would help bolster its hybrid cloud capabilities.

Read More

CLOUD STORAGE

Databricks and Google Cloud Announces New Partnership

Google Cloud, Databricks | February 19, 2021

Databricks and Google Cloud today declared another association that will bring to Databricks clients a profound combination with Google's BigQuery stage and Google Kubernetes Engine. This will permit Databricks' clients to bring their data lakes and the service’s analytics capabilities to Google Cloud. Databricks as of now include profound incorporation with Microsoft Azure — one that works out in a good way past this new organization with Google Cloud — and the organization is likewise an AWS accomplice. By adding Google Cloud to this rundown, the organization would now be able to profess to be the "solitary brought together information stage accessible across every one of the three clouds (Google, AWS and Azure)." It’s worth stressing, though, that Databricks’ Azure integration is a bit of a different deal from this new partnership with Google Cloud. “Azure Databricks is a first-party Microsoft Azure service that is sold and supported directly by Microsoft. The first-party service is unique to our Microsoft partnership. Customers on Google Cloud will purchase directly from Databricks through the Google Cloud Marketplace,” a company spokesperson told me. That makes it a bit more of a run-of-the-mill partnership compared to the Microsoft deal, but that doesn’t mean the two companies aren’t just as excited about it. “We’re delighted to deliver Databricks’ lakehouse for AI and ML-driven analytics on Google Cloud,” said Google Cloud CEO Thomas Kurian (or, more likely, one of the company’s many PR specialists who likely wrote and re-wrote this for him a few times before it got approved). “By combining Databricks’ capabilities in data engineering and analytics with Google Cloud’s global, secure network—and our expertise in analytics and delivering containerized applications—we can help companies transform their businesses through the power of data.” About Databricks As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

Read More

VMware eases container deployment on premise and in the cloud

December 08, 2014

Virtualisation heavyweight VMware announced it has bolstered technology integrations with Docker, Kubernetes, and Mesosphere in a bid to open up its platform to a range of containerisation technologies. The move comes as Linux containers start to pick up traction in the enterprise.

Read More

Google joins OpenStack to build bridges between public and private clouds

Google | July 16, 2015

Google has officially signed up to sponsor the OpenStack Foundation, the first of the big three – Google, Microsoft and AWS – to formally throw its weight behind the open source cloud orchestration software. Analysts believe the move will improve support for Linux containers across public and private cloud environments.Google has already set to work integrating Kubernetes with OpenStack with pure-play OpenStack software vendor Mirantis, a move the company said would help bolster its hybrid cloud capabilities.

Read More

Events