Operations | Monitoring | ITSM | DevOps | Cloud

Data is almost always scattered across too many tools. Usually, if you want to see it all in one place, you're stuck building messy pipelines or paying for a warehouse you don't really want. SquaredUp is a window into all those tools. It lets you see what’s happening across your entire stack in real time without moving any of the data. Think of it as a universal translator that lets your tools talk to each other so you can stop the manual digging and just see the big picture.

Note: This post originally published in October 2023 and was updated in May 2026 to include new methods and options for embedding Grafana dashboards. Grafana dashboards are powerful and flexible tools for observing applications and infrastructure, so it’s no surprise we get a lot of questions from the community about how to embed them into their web applications.

For years, teams have relied on k6 to take a more proactive approach to performance testing, ensuring they can catch issues early and deliver more reliable user experiences. That approach has helped make k6 one of the most widely used performance testing tools in the open source community today, with more than 30k stars on GitHub. Last year, we introduced k6 1.0, a major release that brought TypeScript support, native extensions, revamped test insights, and production-grade stability guarantees.

Your version and deploy health data no longer lives on separate pages. Versions and Deploys are now Dashboard cards, visible by default the next time you open Rollbar. Errors, versions, and deploys in one view, no more tab-hopping to piece together release health.

Most platform and observability teams have logs they know are noise. These could be throwaway health check logs, forgotten DEBUG logs, or verbose INFO logs from little used services that only serve to inflate your bill. Regardless of what they contain and why they're there in the first place, the hard part is getting rid of them. Centralized teams want to easily and quickly prevent these logs from being ingested, without having to work with toilsome infrastructure change management to do so.

So your database is slow. Now what? Grafana Cloud Database Observability already gives you visibility into your SQL queries with RED metrics, individual execution samples, wait event breakdowns, table schemas, and visual explain plans. But visibility is just the starting point. You can see that a query's P99 latency spiked, but what should you do about it? You can see wait events like wait/synch/mutex/innodb firing, but what does that actually mean?

Most people assume the modern enterprise runs cleanly on the dashboards and cloud consoles that dominate today’s digital workspaces. Anyone who operates these environments understands a more complicated truth. The real work happens beneath those surfaces, in systems few people notice until something slips. Across industries, engineers face the same recurring scenario: a routine shift disrupted by signals of degradation somewhere in the environment.