GKE | Google Kubernetes Engine

Leverage the power of GKE to streamline the management of your containers and unleash the potential of Kubernetes for innovation and scalability.

GKE and DoiT

GKE is a fully managed Kubernetes platform that transforms the app development and deployment processes by streamlining the deployment, management and scaling of containerized applications. Easy to set up, GKE delivers a serverless Kubernetes experience that manages complexity and delivers automated scaling up to 15,000 nodes.

Organizations that harness GKE successfully can scale up their applications massively without experiencing any decline in stability, speed or security. But although GKE reduces the complexity of Kubernetes, it still presents a learning curve for DevOps teams.

DoiT has broad, deep skills in GKE. Let your team get on with creating and enhancing what builds most business value for your organization and lean on our team for the experience and expertise to build, scale and innovate your cloud applications.

“Placing our bet on Kubernetes and GCP was a key strategic decision that has paid off. With the help of DoiT International and Google Cloud, SecuredTouch now has GKE clusters that are smoothly handling all crucial aspects of resource management optimization, such as horizontal auto-scaling and preemptible node-pools.”

Ran Wasserman

CTO, SecuredTouch

Understanding Kubernetes

GKE is a managed Kubernetes service for containers and container clusters that run on Google Cloud infrastructure. Based on Kubernetes, the open-source container management and orchestration platform Google created, it is used for a range of automation and management tasks related to container deployment and orchestration tasks. These include:

Creating and resizing clusters Creating pods, replication controllers, jobs, services and load balancers Resizing application controllers Updating, upgrading and debugging clusters

Developers often use it to create and test enterprise applications, whereas IT administrators might use it to scale up and enhance performance, for example.

Essentially, GKE is a group of Google Compute Engine instances running Kubernetes. Using it, you can group multiple containers into pods that represent logical groups of related containers and manage them through jobs. Because access to containers might be disrupted if a pod of related containers becomes unavailable, most containerized applications need redundancy to ensure pod access is never compromised. A replication controller within GKE enables users to run the number of pod duplicates they wish at any time.

Groups of pods can be grouped into services, and these mean you don’t need additional code for non-container-aware applications to access other containers. For example, if the pods you use to process data from a client system are set up as a service, the client system can use any of the pods at any time – it doesn’t matter which pod is performing the task.

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