Getting Started with Kubernetes and Microservices
Our DevOps team were deploying their Application Process LifeCycle and Big Data Services. Significant challenges during deployment of their application stack are mentioned below -
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Difficult to isolate different environment like dev, staging, and production.
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The environment is not flexible; any system configuration changes affect other running applications.
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Single Point of failure at the application level.
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Scaling Out of any application is very laborious.
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Time-Consuming Process for deploying or update the Application and manually Process.
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Wastage of Resources.
Managed Kubernetes Solutions
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We Proposed them a data-driven application stack with DevOps Strategies. The complete solution stack includes application stack and Hadoop-based Analytics Data Lake on Microservices architecture including monitoring service for all components of Hadoop Based Data Lake.
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Infrastructure can be on the Cloud-Based or Bare-Metal server. On top of that Microservices Architecture using Docker Swarm and Kubernetes.
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Application platform includes apps and databases on Docker and Kubernetes for ease of deployment and automation of full stack application.
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Our monitoring stack provides end to end monitoring of cluster resource utilization to application and database monitoring.