Data Lakes can be difficult and costly to manage. They require skilled engineers to manage the infrastructure, keep data flowing, eliminate redundancy, and secure the data. We accept the difficulties because our data lakes house valuable information like logs, metrics, traces, etc. To add insult to injury, the data lake can be a black hole, where your data goes in but never comes out. If you are thinking there has to be a better way, we agree!

The Accelerate State of Devops Report highlights four key metrics (known as the DORA metrics, for DevOps Research & Assessment) that distinguish high-performing software organizations: deployment frequency, lead time for changes, time-to-restore, and change fail rate. Observability can kickstart a virtuous cycle that improves all the DORA metrics.

Understanding what's happening within your systems is a necessity. Have you ever wondered how experts keep an eye on systems to make sure everything's running smoothly? That's where observability tools come in! Observability tools are like helpers that give you a peek inside your tech. In this blog, we will talk about observability tools and how they can be used in different situations so it's easier for you to choose the right one for your organization.