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What is Kubernetes on Google Cloud Platform (GCP)?
Google Cloud is known as the home of Kubernetes as Google itself initially develops it. Kubernetes are released as an open source in 2014, till now Kubernetes has turned into the most popular answer to handle containerized workloads anywhere. Kubernetes provide automated container orchestration and efficient machine management and also improves reliability and decreases the time and resources attributed to DevOps.
While deploying the containerized applications at scale, Software teams require a system to automatically fulfill:
- Containers and images deployment to the environment.
- manage the scale of containers and node clusters based on demand.
- Balancing of resources in containers and node clusters.
- Communication across the cluster.
- Traffic management for services.
Kubernetes builds on 15 years of running Google's containerized workloads and the valuable contributions from the big community of open source. Google donated Kubernetes as the founding project to the Cloud Native Computing Foundation(CNCF) from the evolution of the open-source community. This article will give an overview of deploying containerized applications with Google Kubernetes Engine (GKE).
Serverless Framework is serverless computing to build and run applications and services without thinking about the servers. Click to explore about, Kubeless - Kubernetes Native Serverless Framework
What are the Google Kubernetes Engine (GKE) services?There are two services or products of google that are currently ruling the market -
Google Kubernetes Engine (Managed Kubernetes in the cloud)Google Kubernetes Engine (GKE) is a managed and production-ready environment for deploying containerized applications. The Google Kubernetes Engine(GKE) brings the latest innovations of google in Developer productivity, resource efficiency, automated operations, and open-source flexibility to accelerate time to market. Google's Kubernetes engine was launched in the year of 2015. It is built on Google's experience of running services like Gmail and YouTube in a container for over 12 years. Kubernetes Engine allows us to get up and run with Kubernetes in no time by illuminating the need to install, manage, and operate our own Kubernetes cluster. The Google Kubernetes Engine also has many features as-
Deploy a Wide Variety of ApplicationsGoogle's Kubernetes Engine enables rapid application development and iteration by making it easy to deploy, update, and manage users' applications and services. Kubernetes Engine isn't just for stateless applications either, and we can also attach persistent storage and also can run a database in the cluster. It is also a provision and manages the underlying cloud resources automatically. The support of hardware accelerators also makes it easier to run Machine Learning, General Purpose GPU, High-Performance Computing, and other workloads that benefit from specialized hardware accelerators.
A distributed processing system which is used basically for large data workloads. Click to explore about, Apache Spark on Kubernetes
Operate Seamlessly with High AvailabilityWe can also control our environment from the built-in Kubernetes Engine dashboard in Google Cloud console. It also has routine health checks to detect and replace hung or crashed applications inside your deployments. Container replication strategies, monitoring, and automated repairs help ensure that your services are highly available and offer a seamless experience.
Scale Effortlessly to Meet DemandKubernetes Engine autoscaling allows handling increased user demand for your services, keeping them available when it matters most.
Migrate existing VMs directly into containersUse Migrate for Anthos to convert and move workloads directly into the containers in Google. Kubernetes Engine (GKE). Target workloads can include physical servers and VMs running on-premises, in Compute Engine, or other clouds, giving the user the flexibility to transform your existing infrastructure with ease.
Run Securely on Google's NetworkWith the help of Google's Kubernetes Engine, users can Connect to and isolate clusters. It didn't depend on the user's location, providing fine-grained network policies using Global Virtual Private Cloud (VPC) in Google Cloud.
Running Anthos on-premises (Manage and Build a modern hybridApplications on existing VMware environments) Anthos deployed on VMware lets the user take advantage of cloud technology and Kubernetes in our data center. We can get Google Kubernetes Engine (GKE) experience with quick, managed, and installs as well as upgrades validated by Google. Google Cloud Console gives a single pane of glass view for managing clusters across cloud environments and on-premises.
Enabling Big Data on Kubernetes is a good practice for the transition of smooth data. Click to explore about, Enabling Big Data Applications on Kubernetes
What is Anthos?Anthos helps to build and manage modern hybrid applications on existing public cloud or in the existing on-premises investments. Anthos is built on open source technologies pioneered by Google-including Kubernetes, Istio, and Knative. Anthos accelerate application development and enables businesses with transformational technologies.
What are the benefits of the Anthos platform?
Modernize in place: Modernize the applications in the cloud or on-premises. Increases the business agility, get products to market faster, and maximizes resource utilization with Kubernetes services managed by Google.
Migrate and modernize: Workloads can be converted directly into the containers in Anthos with the help of Migrate for Anthos. Target Workloads of Anthos can include physical servers and VMs running on-premises, in Compute Engine, or on other clouds.
Automate policy and security at scale: A Service-centric view of the user's infrastructure, which provides by Anthos, will result in spending less time managing applications and getting greater awareness, consistency, and control.
An open-source container orchestration engine and also an abstraction layer for managing full-stack operations of hosts and containers.Click to explore about, Kubernetes Architecture and its Components
What are the benefits of On-premises Containers?
- Consistent Kubernetes experience: Keep the environments in sync with the same Kubernetes version, OS, runtime, and add-ons between Anthos deployed on VMware in the cloud environment or on-premises.
- Secured Kubernetes clusters: Always stay with the latest Kubernetes version and security patches tested and validated by Google. Upgrade in no time with zero downtime.
- Centralized multi-cluster management: Monitor, manage, and enforce policies across all the Kubernetes Engine clusters, whether in the cloud or on-premises, with the help of Google Cloud Console.