por The platform Google Kubernetes Engine (GKE) refers to a Google Cloud Kubernetes Managed Service which is responsible for providing its clients with a fully managed environment, where they can carry out data and application deployment, management and scaling tasks belonging to the containers, through the use of the infrastructure of Google Cloud.
The Google Kubernetes Engine environment It has several machines, such as the Compute Engine platform, which have the function of grouping together and thus forming a cluster in the system. GKE is also used for purposes related to migrating applications to Kubernetes and deploying, updating, and monitoring client applications and services.
Google Kubernetes Engine Features
Among the elements that characterize the Google Kubernetes Engine GKE environment, there are options such as node auto-scaling and automatic updating and repair, as well as integrated monitoring processes with other Google cloud tools, such as Stackdriver.
In addition to this, the use of the Google Kubernetes Engine tool provides tools focused on automatic system administration, monitoring, scaling in an automated manner and progressive updates, among other functions.
Other features of the GKE tool may be the following:
Modes of operations
Google Kunernetes Engine account with two different modes to manage operations: the first is called standard and the second, Autopilot. The mode standard allows the user to have full control of the system nodes and be able to configure and carry out the execution of administrative loads that can be customized.
Meanwhile, the mode Autopilot in Google Kubernetes Engine it is an automated type solution that is completely managed by the provider and that, in addition, is in charge of the processes and tasks related to the cluster infrastructure, its supervision and adjustment.
Backup
Another element that characterizes the operation of the Google Kubernetes Engine tool is its option to make backup copies so that users can manage, protect and repair information of your containerized applications in a very efficient and practical way.
Registration and monitoring
Google Kubernetes Engine is also characterized by the integration of tools that allow the registration and monitoring of platform information. So the user has the possibility of enabling and configuring applications such as Cloud Logging and Cloud Monitoring to monitor and manage the performance of the client’s system or application.
Autoscaling
GKE has the feature to be able to automatically scale the deployment processes of the user’s applicationaccording to the use of resources required by the system, such as, for example, the CPU or memory.
Google Kubernetes Engine It also allows auto-scaling of pods, based on CPU usage or following metrics customized by the user. Furthermore, it is cluster auto-scaling possible through groups of nodes.
Continuous integration and continuous delivery
Google Kubernetes Engine is also characterized by offer the user a set of tools focused on guaranteeing continuous integration and delivery in the system. This will help build and deliver customer application containers.
This option It also allows platform configuration CloudBuild in cases where the user requires building container images, such as Docker.
Workloads
Google Kubernetes Engine requires containerized applications to function. Are Apps are packaged into platform-independent client space instances, which are then they are isolated through applications like Docker. These applications are called workloads and deploying them on a GKE cluster first requires the user to package them into a container.
What is the next step?
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