Today, every fast-growing business enterprise has to deploy new features of their app rapidly if they really want to survive in this competitive market.

If you’re playing around with multiple technology stacks or extending open-source applications and you don’t mind having to shift back and forth between different languages and frameworks, you might find containerizing your applications useful.

In this tutorial, I am going to be creating an image with a file that will tell you the time of day the container has been deployed using Nginx.

Kubernetes or K8s is an open-source platform to manage containerized workloads and applications.

In this article, I will show you how did I set up CI/CD for my personal blog with free services.

Example of implementing an API using Spring Boot, Elasticsearch, Logstash, Kibana, and Docker.

This article is written for part of the Software Engineering Project course in University of Indonesia. Any information put here may or may not be complete and should not be used as your only guideline.

Containers have rocked the software engineering world not less than DevOps practices. Containers are fantastic — deployable everywhere, they let you run previously incompatible setups on the same servers and move projects between servers smoothly. However, there’s always a price to pay — container environments require an understanding of core fundamentals to run containers securely.

Quick Code to deploy ELK stack (Elasticsearch, Logstash, Kibana) and supporting services on Kubernetes Controlled Docker platform.