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? How about an affordable, reliable way for developers to answer, “Is my service up?” Today, we're excited to launch Checkly Uptime Monitors, a new way to monitor URLs, TCP, and Heartbeats, and more all within the same workflow you already love. Now, you can monitor more of your services without needing another lighter tool, without duplicating your alerting setup, or without stepping outside of your IDE. The Foundation Of Reliable Applications Every robust monitoring strategy needs multiple layers of defense. Think of it like securing a building—you need both perimet

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. You code in your IDE, then context-switch to a completely different environment only to set up your essential application monitoring. And it's slow, it's frustrating, and it breaks your flow. However, you might have noticed it; it’s the year 2025, and AI-assisted coding isn’t a nice-to-have anymore. AI-powered development tools such as Cursor and GitHub Copilot have fundamentally changed how engineers work. How you work! You prototype faster, generate code in seconds, and build comprehensive test suites, all fr

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