Key Features and Advantages of Google Kubernetes Engine
Tags: kubernetes, googlecloud, security, aws
Published: 2021-11-08 13:17:54

<b>Kubernetes Overview</b>


It is an extensible and portable open-source platform used to manage containers. It was created by Google, also known as K8s, which makes many computers or machines work in one unit. Through Kubernetes, several people can utilize containerized apps that work together, whether the apps are on various platforms.

 
<b>Why To Opt For GKE (Google Kubernetes Engine)?</b>

GKE helps a lot in app development services as it manages containerized applications. There are many reasons to select GKE, and some of them are mentioned below.

    Google developed both GKE and Kubernetes. So, there is an excellent team, and GKE provides easy integration with plentiful Google services.

    It offers nodes auto-scaling that Amazon Kubernetes and Azure container Services lack.

    Any new tool or feature released will be seen first in GKE before it comes to other vendors.

    GKE is the cheapest Kubernetes service which makes an amazing option to choose when working with containers.

 
<b>Key Advantages of Google Kubernetes Engine</b>

 
<b>1. Accelerate App Development Without Compromising Security</b>

The app development services automatically become faster with continuous integration and continuous deployment tools. The use of Kubernetes-native CI/CD tools helps secure and accelerate every stage of the create-and-deploy life cycle.

 
<b>2. Release Channels for Streamlining Operations</b>

With GKE, you can select a release channel that best suits your business requirements. It provides faster and stable channels having the option of node upgrades. Moreover, you can get the support levels lined up with channel nature.

 
<b>3. Google Site Reliability Engineers for Monitoring Clusters</b>

With Google SREs, you can look at your cluster, storage resources, and computing networks. It has built-in integrations for troubleshooting incidents quickly.

 
<b>4. Access Several Storage Options</b>

There are many storage options in GKE that you can use in app development services. The options differ in ease of utilization and flexibility. GKE has storage abstractions used for providing storage to clusters.

 
<b>5. Use of Load Balancing</b>

GKE enables users to define the way the apps are deployed or communicate with one another. The networking model depends on IP address. Services, containers, nodes, and pods communicate through IP addresses. Thus, it offers multiple load balancing types to direct the traffic towards the right pods.

 
<b>Major Features of Google Kubernetes Engine</b>

<b>1. Different Operation Modes</b>

GKE provides two operation modes that are Autopilot and Standard. Autopilot is a solution that handles the infrastructure of the whole cluster without the need for configuration and monitoring. It includes per-pod billing, where you only have to pay for the running pods and not for the system components, unallocated space, or overhead of operating systems. The Standard mode provides you complete control over nodes and the capability to adjust and run administrative workloads.

 
<b>2. Auto-Scaling of Cluster and Pod</b>

GKE is the fully managed service of Kubernetes that comprises Kubernetes API, release channels, multi-cluster support, and 4-way auto-scaling. The auto-scaling of the horizontal pod is based on custom metrics and CPU usage. Cluster auto-scaling runs on a per-node-pool basis, and the auto-scaling of vertical pod analyzes memory and CPU usage. It automatically adjusts the memory and CPU requests.

 
<b>3. Prebuilt Apps and Templates</b>

In GKE, you can get containerized solutions along with prebuilt templates, consolidated billing, featuring portability, and simplified licensing. Such solutions are not container images. These are commercial open-source apps that elevate developers’ productivity.

 
<b>4. Ease of Migration</b>

GKE and Anthos make migration from traditional workloads easier, and they help get to the native containers. The automated approach takes out the important app elements from virtual machines. Therefore, you can insert the elements inside the container in GKE without virtual machine layers. It also works with Autopilot mode.

 
<b>5. Better Security and Networking</b>

GKE sandbox offers an additional defense layer between workloads for improving the security of containerized workloads. GKE clusters support the Network Policy of Kubernetes for restricting traffic through pod firewall rules. GKE private clusters restrict to the private or public endpoint, accessible to only a few address ranges.

Get to know more here Additional Features of GKE: https://www.rlogical.com/blog/an-ultimate-guide-to-key-features-and-advantages-of-google-kubernetes-engine/