A blog site on our Real life experiences with various phases of DevOps starting from VCS, Build & Release, CI/CD, Cloud, Monitoring, Containerization.
WORK SMARTER, NOT HARDER
Are you tired of writing and maintaining K8s YAML manifests for all the required Kubernetes object? Or do you feel drowsy for even the simplest of deployments by writing at least 3 YAML manifests with duplicated and hardcoded values?
So don’t worry. Here we are to make your time productive and simplifying the process.
HIPAA stands for Health Insurance Portability and Accountability Act. This act of 1996 is a United States federal statute enactment. It is a series of regulatory standards that outline the lawful use and disclosure of protected health information (PHI). HIPAA compliance is regulated by the Department of Health and Human Services (HHS) and enforced by the Office for Civil Rights (OCR).
But what this ACT has to do with DevOps..? Is it related to the Corona Virus..?
No, not at all..! Let me explain to you how I landed here.
As of late, I took a dive at setting up and connecting WordPress with the database using container services. I created a website but couldn’t figure out where and how to deploy it. I was looking for a way with less exertion, at least expense, and minimum time. At this point, I thought of a Continue reading “BuildPiper – A SAAS Playground”
Most of us, who have used Kubernetes with a public cloud, have created a cloud loadbalancer as well. Ever thought about how can this be achieved in a Private Data Center. The easiest way would be to use the concept of Node Port and expose our services with it. In this blog, however, we won’t take the easy way out. Well, at least not the easiest way. We are going to talk about ways to achieve the same goal of Software LoadBalancer in a Private Data Center with some interesting tools.
Logging is a critical part of monitoring and there are a lot of tools for logs monitoring like Splunk, Sumologic, and Elasticsearch, etc. Since Kubernetes is becoming so much popular now, and running multiple applications and services on a Kubernetes cluster requires a centralized, cluster-level stack to analyze the logs created by pods.
One of the well-liked centralized logging solutions is the combination of multiple opensource tools i.e. Elasticsearch, Fluentd, and Kibana. In this blog, we will talk about setting up the logging stack on the Kubernetes cluster with our newly developed operator named “Logging Operator”.
