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Cloud Native DevOps and Microservices on Kubernetes

Cloud Native DevOps and Microservices on Kubernetes

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Getting Started with Cloud-Native DevOps on Kubernetes

If you ever plan to deploy a cloud-native application in kubernetes, you must read this use case. We will take you through how to deploy to a cloud-native application in kubernetes and get you ready to have a starter application of your running on Kubernetes.

Kubernetes is a container orchestration system that has seen a swift surge in demand. It can work with various container tools like Docker with its Project Kubo and Google’s KNative platform.

  • The orchestration comprises the automated arrangement, coordination, and management of software containers through an intermediate path connecting two or more services to automate the process and synchronize data in Real-Time.
  • Kubernetes is the best tool for orchestration. Kubernetes deploys, manages a cluster of containers, and treats servers as a single unit provided by Docker. The power of Independence and isolation makes Kubernetes overcome the limitations of Docker.

What are the challenges faced during the deployment of Kubernetes?

  • Difficult to isolate different environments like Dev, Staging, and Production.
  • The environment is not flexible; system configuration changes affect other running applications.
  • Single Point of failure at the application level.
  • Scaling Out any application is very difficult.
  • Time-Consuming Process for deployment or updation of the Application and manually Process.
  • Excessive utilization of Resources.

Managed Kubernetes Solutions

Data-driven solution stack with DevOps Strategies includes application stack and Hadoop-based Analytics Data Lake on Microservices architecture, including monitoring service for all Hadoop Based Data Lake components.

  • Infrastructure can be on the Cloud-Based or Bare-Metal server.
  • Microservices Architecture uses Docker Swarm and Kubernetes.
  • The application platform includes apps and databases on Docker and Kubernetes for ease of deployment and automation of full-stack application.
Need help with Kubernetes management or getting started with Kubernetes - Click Here

Autoscaling with Kubernetes

Scaling with Kubernetes 

  • Frame the Application
  • Deployment of application to Kubernetes Cluster
  • Build and monitor logs of cluster domain
  • Scale Kubernetes Pods

Scaling with DevOps 

  • DevOps Tools to configure, build, test, deploy, version control, and monitor.
  • Automation to enhance the quality
  • Team Collaboration and Workflow
  • Build and Execute Approach

Scaling with Microservices 

  • API version Control
  • Automated deployment
  • Exposure to other systems
  • Tolerant of heavy workloads
  • Better data storage and management
  • Bottlenecks and requirements have been pre-identified

Benefits of Scaling 

  • Scalability
  • Visibility
  • Time-Saving
  • Version Control

 

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