Operations | Monitoring | ITSM | DevOps | Cloud

For this episode we’re continuing to “Build Things on Purpose” with JJ Tang, co-founder of Rootly, who joins us to talk about incident response, the tool he’s built, and his many lessons learned from incidents. Rootly is aiming to automate some of the more tedious work around incidents, and keeping that consistency. JJ chats about why he and his co-founder built Rootly, and the problems they’re trying to fix and eliminate when it comes to reliability.

In this blog, we will be introducing where and how clusters are currently being deployed, what these deployment methods enable, and the major players in that space. This blog is a part of a series of blogs on HPC where we will introduce you to the world of HPC.

Migrating your applications from on-prem infrastructure to the cloud comes with a number of benefits, including increased agility, resilience, and scalability, as well as potential cost and IT overhead reductions. But it can be complex, which is why organizations moving to Azure often use Microsoft’s Cloud Adoption Framework for Azure and its strategy for successful migrations.

Recently microservices-based applications became very popular and with the rise of microservices, the concept of Service Mesh also became a very hot topic. Unfortunately, there are only a few articles about this concept and most of them are hard to digest.

In the era of Microservices, Cloud Computing and Serverless architecture, it’s useful to understand Kubernetes and learn how to use it. However, the official Kubernetes documentation can be hard to decipher, especially for newcomers. In this blog series, I will present a simplified view of Kubernetes and give examples of how to use it for deploying microservices using different cloud providers, including Azure, Amazon, Google Cloud and even IBM.