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Cloud-Native DevOps on Kubernetes

If you ever plan to deploy a cloud-native application in kubernetes, then you must read this use case. We will take you through how to deploy to cloud-native application in kubernetes, and get you ready to have a starter application of your own running on Kubernetes. Kubernetes is a container orchestration system that has seen a swift surge in demand.  It can work with a range of container tools like Docker with its Project Kubo, and Google’s KNative platform.
  • The orchestration is composed of 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 at 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. Power of Independence and isolation makes Kubernetes overcome limitations of Docker.

Kubernetes Deployment Challenges

  • Difficult to isolate different environment like Dev, Staging, and Production.
  • The environment is not flexible; any system configuration changes affect other running applications.
  • Single Point of failure at the application level.
  • Scaling Out of 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 components of Hadoop Based Data Lake.

  • Infrastructure can be on the Cloud-Based or Bare-Metal server.
  • Microservices Architecture uses Docker Swarm and Kubernetes.
  • Application platform includes apps and databases on Docker and Kubernetes for ease of deployment and automation of full-stack application.

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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