Operations | Monitoring | ITSM | DevOps | Cloud

When Checkly launched, it was the first of its kind, enabling developers to monitor complex workflows easier than ever using the automation tooling (Playwright, Terraform, etc) they already knew and loved. We’ve helped detect and resolve issues for 1000s of companies—ranging from monitoring crucial log-ins, to purchasing products, to setting up client instances for millions of monthly users But what about the simpler stuff?

In cybersecurity, defense-in-depth is a fundamental principle – you never rely on a single security measure to protect your systems. The same philosophy applies to application monitoring. No single monitoring approach, no matter how sophisticated, can capture every possible failure mode of your application. This is why layered monitoring isn't just a best practice – it's essential risk mitigation.

Most monitoring tools weren't built for the AI-first world. By nature, traditional monitoring platforms force you out of your natural coding environment and trap you in clunky web interfaces, brittle configuration panels, and rigid APIs. And sadly, when monitoring providers do offer "AI features," it's usually a chatbot bolted onto their existing UI, being nothing more than a pale imitation of the AI tools you’re reading about every day on Hacker News. All this creates friction.