Best of Kubernetes — November 2023

1. 1
   Article

   ByteByteGo·2y

   Kubernetes: When and How to Apply It

   Kubernetes is a container orchestration platform that offers infrastructure efficiency, enhanced developer productivity, easy scalability, application portability, consistent environments, resilience, a large ecosystem, and vendor neutrality. However, it also comes with drawbacks such as complexity, resource overheads, security concerns, resource underutilization, upgrade headaches, and limited support for stateful apps. Kubernetes excels for large-scale, distributed applications but may not be necessary for every workload.

   105

   1
2. 2
   Article

   DEV·2y

   Explaining Kubernetes To My Uber Driver

   The conversation describes Kubernetes as a chef or container orchestration tool that helps manage different components needed to run software. It explains the concepts of containers, pods, and the master node in the context of a kitchen analogy. It also highlights the usefulness of Kubernetes in the world of technology.

   43

   4
3. 3
   Article

   AWS in Plain English·2y

   Project: Deploy A Sample App on AWS EKS — DevSecOps Practices

   This article describes the deployment of a Netflix clone application using a CI/CD pipeline with tools like Jenkins, Docker, SonarQube, Trivy, Argo CD, Prometheus, and Grafana. It emphasizes the importance of DevSecOps practices and monitoring of the application's performance.

   11
4. 4
   Article

   ITNEXT·2y

   How to Create a Ticket data model

   Learn how to create a ticket data model using TypeScript and MongoDB with the help of Mongoose. The article covers the purpose of the version key in Mongoose, how optimistic locking works, and when to disable the version key. It also highlights the importance of data integrity in asynchronous programming and the benefits of a guard-railed, disciplined development approach.

   10
5. 5
   Article

   AWS in Plain English·2y

   Python Microservices Application: Video to Audio Converter

   This article discusses the creation of a Python microservices application for converting videos to audio. It covers the use of Kubernetes on Amazon EKS, Helm Charts, MongoDB, PostgreSQL, RabbitMQ, and Docker. The application utilizes an API Gateway with endpoints for login, upload, and download. Authentication is done through Postgres, and video data is stored in RabbitMQ before being converted to audio and stored in MongoDB. Docker images are created for each service and pushed to DockerHub.

   10