Operations | Monitoring | ITSM | DevOps | Cloud

Kubernetes is becoming a dominant platform for running workloads. As the Kubernetes ecosystem continues to advance capturing a wider swath of workloads, eventually your code might be headed to Kubernetes. As a Tech Lead at Shipa responsible for front-end engineering e.g what you see on the screen, my job crosses JavaScript Frameworks and Kubernetes on a daily basis.

Life before containerization was a sore spot for developers. The satisfaction of writing code was constantly overshadowed by the frustration of attempting to force code into production. For many, deployments meant hours of reconfiguring libraries and dependencies for each environment. It was a tedious process prone to error, and it led to a lot of rework. Today, developers can deploy code using new technology such as cloud computing, containers, and container orchestration.

With the 1.2.0 release of Rancher Desktop, there are two new features available as a Feature Preview. Rancher, the multi-cluster Kubernetes manager, includes a dashboard which enables you see and interact with resources in a Kubernetes cluster. Rancher Desktop now includes this dashboard. The dashboard will enable you to view and interact with resources in your local cluster provided by Rancher Desktop.

When I was making my first switch from a product engineering team to being field facing software engineer, one of my first projects was an integration project for a federal agency. The very first piece of enterprise software minus my productivity and development suite I was exposed to was BMC’s Control-M about 15 years ago. A lot of batch files to extract and transform data had to be run in order and on a daily basis; Control-M at the time was a job runner.

Welcome to the second post in a series of “How to Scale your AWS Infrastructure”. In the first post, we talked about horizontal scaling, autoscaling, CI/CD, infrastructure automation, containerization, etc. In this post, we will continue the discussion around databases, loose coupling, caching, CDN, etc. Let’s start the discussion with database scaling.