Oack vs Checkly

Why teams switch from Checkly to Oack

Checkly has built a strong reputation among developers who want to write monitoring checks the same way they write tests — in code, version-controlled, and integrated into CI/CD pipelines. It is genuinely good at that job.

The gap appears when teams need to go beyond pass/fail results and understand the performance characteristics of their endpoints in production. Checkly is optimized for validating that a user flow works; it does not break down where time is spent inside an HTTP connection. When a Checkly check reports a slow API response, the next question — “is it DNS, TLS negotiation, server processing, or the network path?” — cannot be answered from within the platform. Teams reach for additional tools, and often discover that a purpose-built latency monitor would have caught the issue earlier.

The cloud-only architecture is another factor. Checkly runs all checks from its own infrastructure. If you need to monitor internal services, staging environments behind a VPN, or endpoints that are not publicly routable, there is no way to deploy a self-hosted runner. Oack’s private network testers fill that gap.

What Checkly does well

Checkly is the leading platform for monitoring-as-code. If your workflow involves writing Playwright or Puppeteer scripts, checking them into Git, and deploying them alongside your application code, Checkly’s developer experience is hard to beat. The CLI tooling, Terraform provider, and GitHub integration make it straightforward to manage hundreds of checks programmatically.

Browser checks that execute real Chromium sessions are valuable for validating complex multi-step flows like authentication, checkout, and onboarding. The platform also supports API checks with assertions, and its global location coverage is solid. For teams whose primary concern is “does this user journey still work?”, Checkly is a strong choice.

Where Oack goes deeper

HTTP timing dissection. Oack records six distinct phases of every HTTP request: DNS lookup, TCP connection, TLS handshake, request send, server wait (TTFB), and response receive. This is not a synthetic browser waterfall — it is precise timing data from the probe’s HTTP client, available on every single check. When latency increases, you know exactly which phase is responsible.

TCP kernel metrics. Below the HTTP layer, Oack reads the tcp_info struct from the operating system kernel. Round-trip time, retransmit count, congestion window, and retransmission timeout are captured on each probe. These metrics reveal network-layer problems — packet loss, path congestion, suboptimal routing — that are completely invisible to browser-based monitors.

Private network testers. Oack lets you install lightweight checkers on your own infrastructure. Monitor internal APIs, databases behind firewalls, or staging environments in private VPCs without exposing them to the public internet. Deploy a checker with a single command using oackctl and it joins your account automatically.

CDN awareness. For targets behind Cloudflare, Oack enriches every probe with edge metadata: which PoP served the request, whether the response was a cache hit or miss, and how long the edge spent processing. This context turns a vague “the site felt slow in Asia” into a concrete finding like “cache misses at NRT are falling back to the origin in us-east-1.”

Incident timeline and status pages. Oack provides a unified timeline that correlates deploy events, alerting incidents, and team annotations in one view. Built-in status pages let you communicate availability to customers without integrating a third-party tool.