Operations | Monitoring | ITSM | DevOps | Cloud

We are thrilled to announce that we have just raised a $2.25M seed round. This round is led by Accel and some great founders — including current and former executives from Vercel (formerly Zeit), Instana, Twilio and many more. Welcome, on board! Active monitoring and end-to-end testing have been silos with different tools and platforms. Modern DevOps demands a change. We firmly believe that Checkly sits at the intersection of these distinct market trends.

We just closed a $2.25M investment round led by Accel and a pack of top rate Angels. Lots to talk about, here's the itinerary: Onwards! Let's start at the end. Three months ago Checkly was a bootstrapped solo project run by me from a desk in the back of a Berlin fashion label's spare floor space (Frisur!). Now we are six people on a mission to give active monitoring and E2E testing a very serious kick in the butt. Here is a copy & paste from our pitch deck.

In this guest article, SRE experts John Arundel and Andy Pearson show you how to connect your Checkly data to Prometheus and Grafana, as part of an integrated observability pipeline.

We're very happy to introduce groups to Checkly! Grouping checks opens up a range of possibilities and workflow enhancements of which this initial release is just the tip of the iceberg. Here are some the thing you can start doing right now.

In this guest article John Arundel, consultant and author of Cloud Native DevOps with Kubernetes, introduces the Checkly Terraform provider. He explains what Terraform is and why you'd want to use it, and shows how to use Terraform to automate and manage your website monitoring with Checkly.

We just shipped three updates based on customer feedback.

I post openly about MRR, churn and other SaaS stuff on Twitter. I do this mostly for marketing purposes. Not going to lie. It's also kinda fun. At least when things are growing...

When adding a new feature to Checkly or refactoring some older piece, I tend to pick Heroku for rolling it out. But not always, because sometimes I pick AWS Lambda.

In a recent post on customer feedback I mentioned being a recent convert to chat widget-driven tools. I thought they sucked, but I was wrong. Since then, I actually switched from Drift to Intercom because Intercom's focus — support & communication — matched my business better than Drift's heavy sales focus. To get the most out of Intercom, you need to integrate it with your app. This means instrumenting some code and tweaking some bits of your app's navigation.

A big part of Checkly runs on AWS Lambda, but I never really discussed it in depth before on this blog. So here we go. Topics are: Note, I'm using "Lambda" here as a stand in for "serverless" in general. Many of the things discussed here apply to either Google Cloud Functions, Azure Functions and possibly Zeit although I've never used it. First something on how we use Lambda. Last week we went over 35 million check runs.