Cloud Native DevOps and Microservices on Kubernetes

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.

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