Wiping the Slate Clean with the OpenShift Container Platform

With traditional virtualized infrastructure or Infrastructure-as-a-Service, it is common practice to regularly refresh instances back to a known good state. This provides confidence that the application workloads have the correct runtime configuration, no deltas are being introduced, and they can be relied upon to provide value for the business. In these cases, you might use tools such as Ansible or Jenkins, but when we move our application workloads to containers running on OpenShift Container Platform, we can use native tools provided by that platform to achieve the same result.

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Connecting Kubernetes and Docker

This blog to help my fellow developers who are working on “Docker” and “Kubernetes” simultaneously. Because, they know that Kubernetes runs over docker-engine but there is a catch, that:

1. Containers running on Docker, and

2. Containers running inside of a Kubernetes Pod,

are absolutely running isolated, without even knowing each other’s existence. But, we are developers, so there are chances where we might come across a situation where we desperately need to let the Docker formatted containers communicate with K8s Pod. By communication, I mean the transmission of data from Pod-to-Container and vice-versa, using protocols like TCP, Http, Https, UDP, Sockets, web-sockets and much more.

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How Kubernetes Helps to Enable DevOps

A recent Gartner survey suggests that roughly 50% of the respondents planned to implement continuous delivery and DevOps by year-end 2017 in order to deliver services faster, more often and more reliably. State of DevOps Report by Puppet Labs suggests that high-performing organizations that focus on automation and DevOps are able to reduce their lead-time for delivering a change by a factor of 440 and deliver services 46 times more often. These results have helped to make DevOps adoption a mainstream enterprise IT phenomena. As a result, today we see DevOps adoption in virtually all industries and company sizes, and the perception of DevOps as a unicorn capability has long vanished.

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The Skinny on Fat, Thin, Hollow, and Uber

“I used WildFly Swarm to shrink my app from 45 megabytes to only 2243 bytes.”

I was recently playing around with various techniques for packaging Java microservices and running on OpenShift using various runtimes and frameworks to illustrate their differences (WildFly Swarm vs. WildFly, Spring Boot vs. the world, etc). Around the same time as I was doing this an internal email list thread ignited discussing some of the differences and using terms like Uber JARs, Thin WARs, Skinny WARs, and a few others. Some folks were highlighting the pros and cons of each, especially the benefits of the thin WAR approach when combined with docker image layers.

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Why Infrastructure Parity Matters for Developers Too

Background

I’ve been working with the CTO of an online video game company to develop a container architecture for his business. The goal is to simplify the deployment of new applications as well as make it easier to go back and change the code on older applications. The desired state is environmental parity across the infrastructure — this will simplify the assignment of work on different applications to different developers. From developer laptops to production servers, the code will just work!

While video game production has unique technical and business requirements, infrastructure parity from developer laptops to production servers is a common desire that touches every industry that relies on application delivery.

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New level of automation with Ansible

Ansible is a simple agent-less automation tool that has changed the world for the better. It has many use cases and wide adoption (used by many upstream projects like Kubernetes and there are thousands of rules submitted to Ansible Galaxy). In this article, we are going to demonstrate Ansible. The intention of this article is not to teach you the basics of Ansible, but to motivate you to learn it.

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