What is Azure
📝Azure is a cloud computing platform and an online portal that allows you to access and manage cloud services and resources provided by Microsoft. These services and resources include storing your data and transforming it, depending on your requirements. To get access to these resources and services, all you need to have is an active internet connection and the ability to connect to the Azure portal.
Things that you should know about Azure:
- It was launched on February 1, 2010, significantly later than its main competitor, AWS.
- It’s free to start and follows a pay-per-use model, which means you pay only for the services you opt for.
- Interestingly, 80 percent of the Fortune 500 companies use Azure services for their cloud computing needs.
- Azure supports multiple programming languages, including Java, Node Js, and C#.
- Another benefit of Azure is the number of data centers it has around the world. There are 42 Azure data centers spread around the globe, which is the highest number of data centers for any cloud platform. Also, Azure is planning to get 12 more data centers, which will increase the number of data centers to 54, shortly.
What is Kubernetes ?
📝Kubernetes (also known as k8s or “kube”) is an open source container orchestration platform that automates many of the manual processes involved in deploying, managing, and scaling containerized applications.
In other words, you can cluster together groups of hosts running Linux® containers, and Kubernetes helps you easily and efficiently manage those clusters.
Kubernetes clusters can span hosts across on-premise, public, private, or hybrid clouds. For this reason, Kubernetes is an ideal platform for hosting cloud-native applications that require rapid scaling, like real-time data streaming through Apache Kafka.
Kubernetes was originally developed and designed by engineers at Google. Google was one of the early contributors to Linux container technology and has talked publicly about how everything at Google runs in containers. (This is the technology behind Google’s cloud services.)
Google generates more than 2 billion container deployments a week, all powered by its internal platform, Borg. Borg was the predecessor to Kubernetes, and the lessons learned from developing Borg over the years became the primary influence behind much of Kubernetes technology.
Why you need Kubernetes and what it can do ?
Containers are a good way to bundle and run your applications. In a production environment, you need to manage the containers that run the applications and ensure that there is no downtime. For example, if a container goes down, another container needs to start. Wouldn’t it be easier if this behavior was handled by a system?
That’s how Kubernetes comes to the rescue! Kubernetes provides you with a framework to run distributed systems resiliently. It takes care of scaling and failover for your application, provides deployment patterns, and more. For example, Kubernetes can easily manage a canary deployment for your system.
Kubernetes provides you with:
👉🏻 Service discovery and load balancing
👉🏻 Storage orchestration
👉🏻 Automated rollouts and rollbacks
👉🏻 Automatic bin packing
👉🏻 Secret and configuration management
Azure Kubernetes Service Use Cases:
📝We’ll take a look at different use cases where AKS can be used.
- Migration of existing applications: You can easily migrate existing apps to containers and run them with Azure Kubernetes Service. You can also control access via Azure AD integration and SLA-based Azure Services like Azure Database using Open Service Broker for Azure (OSBA).
- Simplifying the configuration and management of microservices-based Apps: You can also simplify the development and management of microservices-based apps as well as streamline load balancing, horizontal scaling, self-healing, and secret management with AKS.
- Bringing DevOps and Kubernetes together: AKS is also a reliable resource to bring Kubernetes and DevOps together for securing DevOps implementation with Kubernetes. Bringing both together, it improves the security and speed of the development process with Continuous Integration and Continuous Delivery (CI/CD) with dynamic policy controls.
- Ease of scaling: AKS can also be applied in many other use cases such as ease of scaling by using Azure Container Instances (ACI) and AKS. By doing this, you can use AKS virtual node to provision pods inside Azure Container Instance (ACI) that start within a few seconds and enables AKS to run with required resources. If your AKS cluster is run out of resources, if will scale-out additional pods automatically without any additional servers to manage in the Kubernetes environment.
- Data streaming: AKS can also be used to ingest and process real-time data streams with data points via sensors and perform quick analysis.
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