Operations | Monitoring | ITSM | DevOps | Cloud

In this issue of the Calico Community Spotlight series, I’ve asked Burak Tahtacioglu from ParkLab Technology to share his experience with Kubernetes and Calico Open Source. Let’s take a look at how Burak started his Kubernetes journey, and the insights he gained from Calico Open Source. Q: Please tell us a little bit about yourself, including where you currently work and what you do there. I am a Sr. Software Developer in our Developer Experience team.

Kubernetes is the most popular container orchestration tool for cloud-based web development. According to Statista, more than 50% of organizations used Kubernetes in 2021. This may not surprise you, as the orchestration tool provides some fantastic features to attract developers. DaemonSet is one of the highlighted features of Kubernetes, and it helps developers to improve cluster performance and reliability.

Remix, as stated in their website, is a JavaScript full stack web framework that lets you focus on the user interface and web standards to deliver a fast, slick, and resilient user experience.

Roaming in the world of cloud technology not only helps you take a glance at the realm of cutting-edge technology but also helps you get familiar with concepts such as monitoring and observability. This article will cover an introduction to monitoring and the need for monitoring applications. From here, we will look at how you can utilize the data received when monitoring an application. This will allow us to understand how the concept of observability fits in with monitoring.

Zero Trust security is gaining attention and momentum as a security approach or mindset that can improve the security posture of enterprises as they continue to battle hackers. Because of this widespread attention on Zero Trust, every software security vendor seems to be jumping on the Zero Trust bandwagon. However, Zero Trust is not a product or service. No single product or vendor can sell you Zero Trust security.

When we say “logs” we really mean any kind of time-series data: events, social media, you name it. See Jordan Sissel’s definition of time + data. And when we talk about autoscaling, what we really want is a hands-off approach at handling Elasticsearch/OpenSearch clusters. In this post, we’ll show you how to use a Kubernetes Operator to autoscale Elasticsearch clusters, going through the following with just a few commands.