Move Quickly and Deploy Faster with GKE (Kubernetes)
Since its launch in 2015, Google Kubernetes Engine (GKE) continues to set the standard for the cloud computing industry on what it means to provide a fully managed Kubernetes service that puts security, reliability, and ease of use first.
Kubernetes Engine
Google Kubernetes Engine lets you run Container as applications on a Cloud environment that Google manages for you under your administrative control. Think of containerization as a way to package code. This design to be highly portable and use resources very efficiently and think of Kubernetes as a way to orchestrate code in Containers.
Kubernetes Engine has a monitoring feature that gives you a comprehensive view of your Kubernetes environment, including infrastructure, application and service data with speed and reliability. It is pre-integrated with GKE, so you can use it to improve the reliability of the running services.
Kubernetes Engine is like an Infrastructure as a Service offering in that it saves you infrastructure chores. It is a container orchestrator, it needs a container runtime to orchestrate.
It’s also like a platform as a service offering, which was built with the needs of developers in mind.
Kubernetes makes it easy to orchestrate many Containers on many hosts, scale them, roll out new versions of them, and even roll back to the old version if things go wrong.
Kubernetes lets you deploy containers on a set of nodes called a cluster. A cluster is a set of master components that control the system as a whole and a set of nodes that run containers. In Kubernetes, a node represents a computing instance. In Google Cloud, nodes are virtual machines running in Compute Engine.
Resources used to build Kubernetes Engine clusters come from Compute engine and Google keeps Kubernetes Engine refreshed with successive versions of Kubernetes.
Containers
A container is a way to package software in Containers. Containers are useful, and how to manage them in Kubernetes Engine. Containers are easy to move around, deploying a container consumes fewer resources and the less prone to error than VM, and its extract away unimportant details of its environment.
Simpler to migrate workload and have consistency across development, testing and production environment.
So all you do is write your code and self-contained workloads that use these services and include any dependent libraries. As demand for your application increases, the platform scales your applications seamlessly and independently by workload and infrastructure. This scales rapidly, but you give up control of the underlying server architecture.
That’s where Containers come in. The idea of a Container is to give you the independent scalability of workloads like you get in a PaaS environment, and an abstraction layer of the operating system and hardware, like you, get in an Infrastructure as a Service environment. What do you get as an invisible box around your code and its dependencies with limited access to its own partition of the file system and hardware? Remember that in Windows, Linux, and other operating systems, a process is an instance of a running program.
A Container starts as quickly as a new process. Compare that to how long it takes to boot up an entirely new instance of an operating system. All you need on each host is an operating system that supports Containers and a Container run-time. In essence, you’re visualizing the operating system rather than the hardware.
The container abstraction makes your code very portable, you can treat the operating system and hardware as a black box, so you can move your code from development to staging, to production, or from your laptop to the Cloud without changing or rebuilding anything.
If you needed to scale for example a web server, you can do so in seconds, and deploy dozens or hundreds of them depending on the size of your workload on a single host.
Develop faster with Kubernetes apps on GKE
It’s easy to deploy integrated Kubernetes applications to GKE directly from the Google Cloud Platform (GCP) Marketplace, bringing an ecosystem of open-source and commercial applications to you in the cloud and an on-premises environment in a simple, fast, easy and integrated way.
Get started with Kubernetes on
Lab Google Cloud Platform using this link.
Get started with Kubernetes on Google Cloud using this link.
Stay tuned and see you in the cloud.
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Stay tuned and see you in the cloud.
Credits: Google Cloud Platform, Essentials and Infrastructure.
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