Curated articles, resources, tips and trends from the DevOps World.
CI CD Pipeline implementation or the Continuous Integration/Continuous Deployment software is the backbone of the modern DevOps environment. Before moving onto the CI CD pipeline’s working, let’s start by understanding DevOps.
Hey there, setting up an Ingress Controller on your Kubernetes cluster? After reading through many articles and the official docs, I was still having a hard time setting up Ingress.
Ever thought of what might have happened when Facebook was rolling out the “dark mode” update? Or when Amazon is adding some cool new gadgets for you to shop? You must be thinking: the page might not load, the site might be slow, moreover they also need time to edit their own website.
If there are external IPs that route to one or more cluster nodes, Kubernetes Services can be exposed on those externalIPs. Traffic that ingresses into the cluster with the external IP (as destination IP), on the Service port, will be routed to one of the Service endpoints.
One of the most important tasks that any aspiring Data-Scientist should be able to accomplish is creating and deploying an end-point. End-points are the back-bone of modern machine-learning, and are the easiest way to translate models into a real production environment.
Discover Bitbucket's new collaboration features that enhance DevOps workflows and streamline team communication for efficient software development.
This article tries to explain a little bit about the concepts on which Git works. This article assumes that you have working experience with Git. Git is one of the most used versioning systems. Git works on three main concepts: Commit, Tree, Blob.
Disaster recovery, replication and aggregation among Kafka datacenters. Before we start let's make some abbreviations. Mirror maker v1.0 -> mmv1 Mirror maker v2.0 -> mmv2 Find the Project Find all the stuff on this document over here. Here is what the repository contains.
The ultimate goal in data-science is typically going to be automation. While this can be done for incoming data and predictions with Python, R, or C, these languages don’t do quite as well at running system operations like you may need to in order to complete certain tasks.
Axon server in Docker, both using the public image up on Docker Hub as well as with a locally built image, and why you might want to do that. In my previous post, I showed you how to run Axon Server locally and configure it for secure operations.
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