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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