Operations | Monitoring | ITSM | DevOps | Cloud

Coroot is excited to feature an editorial from the open source observability database GreptimeDB as an Open Source Spotlight. We hope to improve the work of our global community of SREs and DevOps professionals by sharing exciting projects like GreptimeDB, which make innovation accessible for everyone through the freedom of open source.

Cloud platforms make it incredibly easy to store data. Object storage feels endless, and block volumes can be resized anytime. That’s great, until you check the cost. In some cases, like financial transactions, storage costs are tiny compared to the value of the data. But observability is a different story. Logs, traces, and profiles can be extremely detailed and often take up more space than the actual business data. Yes, there are situations where logs need to be kept for compliance reasons.

AI is being used to automate just about everything these days, from writing code to making coffee. Observability is no exception. But before we dive into how AI can actually help, it is worth stepping back to look at what already works, what does not, and where the real gaps are.