On a chilly November morning in 2020, it's GitOps Days, and we heard Alexis Richardson via Video Conferencing speak. Git allowed us to do Cloud-native development. It gave us the tooling for a distributed source control, continuous integration, container image distribution, and others.

It's a sunny May afternoon in a Barcelona KubeCon. Liz Rice is on the stage discussing penetration testing in Kubernetes.

It's 2018 in Kubecon North America, a loud echo in the microphone, and then Ben Sigelman is on the stage.

There is conventional wisdom that observing microservice is hard. Google and Facebook solved this problem, right? They solved it in a way that allowed Observability to scale to multiple orders of magnitude to suit their use cases.

The prevailing assumption that we needed to sacrifice features in order to scale is wrong. In other words, the notion that people need to solve scalability problems as a tradeoff for having a powerful set of features is incorrect.

People assume that you need these three pillars of Observability: metrics, logging, and tracing, and all of a sudden, everything is solved. However, more often than not, this is not the case.

Today we are going to discuss Observability and why this is a critical day-2 operation in Kubernetes. Next, we will discuss the problems with Observability and leverage its three pillars to dive deep into some concepts like service level objectives, service level indicators, and finally, service level agreements.

In November 2017, The Register published an article, 'Lambda and serverless is one of the worst forms of proprietary lock-in we've ever seen in the history of humanity.'

It is the year 2017 Kelsey Hightower is on the KubeCon stage. The sound of the microphone starts echoing... Raise your hands if you think installing kubernetes is easy. This is how a well known Kubernetes advocate started his presentation.

It is 2016, Karl Isenberg is on the center stage, "Container Orchestration Wars," he said.

The stage was set for the orchestration race.

Armed to the teeth, the warriors at this time were DCOS Mesos, Kubernetes, Nomad, and Docker Swarm, among others.

Amazon AWS hosted its annual storage event, and participants witnessed the launch of various new features that help scale product development and storage on cloud services. These products are focused on giving AWS leverage over other cloud services as it shows the constant upgrade of the services yearly.

Serverless databases are used by organizations that are either fully transitioned or are still transitioning into the serverless infrastructure. They manage users' data and make scaling easier. This article has discussed how they work, their advantages and disadvantages, and things you should consider when choosing a serverless database for your application.

Gatling and K6 are performance load testing tools, and they are both open source, easy to run, and powerful testing tools. While K6 is the more commonly used one, Gatling has gained popularity also. We have compared the features, stats, pros, and cons of both tools in this article.

GitHub Copilot is a controversial developer assistant introduced to the public in June 2021. It has attracted a lot of controversies since then and this article shows some of what developers think about the supposed developer "pair programmer".