Container orchestrators are essential for effective management of your IS. Among them, Kubernetes has become a de facto standard.

Containers are the new IT paradigm, serving the agility of the end-to-end Information System. Their democratization, supported by proven technology and native capabilities of the Cloud, accelerates the development and deployment of your applications.

But the management of hundreds, even thousands, of containers can not be improvised! Application mirroring, business continuityloadbalancing, container lifecycle management … all tasks perfectly mastered by the orchestrators, especially Kubernetes.

You are wondering? So, let’s talk a little bit about getting to know Kubernetes in the context of modernizing your Information System.

First, curious, you ask: “Kubernetes, kesako?”

Kubernetes is a container management tool (sometimes called an orchestrator). Because it is simple and has many automation features, Kubernetes transforms the container concept into operational reality. It is thanks to him that you will exploit the full potential of that technology.

At a time when more and more organizations rely for large deployments, and while Docker has a growing adoption curve; “Manual” container management is not realistic. Especially since, in essence, containers are “volatile” and ephemeral – this is precisely their competitive advantage over virtual machines.

On a daily basis, you can not manage containers in your development, test, and production environments without the automation that Kubernetes allows.

Interested, continue: “Very good, but what does Kubernetes do?”

The power of Kubernetes that serve an agile and efficient IT is expressed through three main functional categories:

Workload related features:

  • Smart container planning on cluster nodes.
  • Horizontal scaling – up or down. Automated, rule-driven, it adjusts resources based on processor load, or other user-specified metrics.
  • The replication controller verifies that each cluster uses a defined amount of Pods (base unit hosting one or more containers) that are identical. He adjusts the number as needed.

High availability related features:

  • Resilience capabilities to reschedule, replace and restart containers that have disappeared (because yes: containers are ephemeral and can disappear).
  • Service discovery and load balancing ensure that each container uses a unique IP address and domain name (DNS).

Deployment features:

  • Automation of rollouts and rollbacks. In an imposing application ecosystem, features must be deployed with maximum uptime. And in case of problems, it is necessary to be able to easily return to a previous state of configuration. In both cases, Kubernetes automates the configuration of the desired state (Which applications? Using which images? For how many replicas? With which network and disk resources?)
  • If you choose the Canary test method for your deployments (where the new code is released “incognito” to a small number of end users), Kubernetes will help you gradually roll out your new code, parallel to the old one.

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