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The bottom line
A capable hosted monitoring platform for teams that want Playwright checks managed as code.
Checkly is managed SaaS for synthetic API and browser monitoring, with TypeScript and JavaScript monitors deployed through its CLI. Playwright, private locations, and alerting make it a practical fit for teams that want production checks in their development workflow.
The trade-off is a proprietary central platform: the CLI and some tools are open source, but the dashboard and backend are not self-hostable. The free Hobby plan has meaningful run limits, and a growing production workload can bring usage overages and add-on costs.
Good fit if
- Teams writing Playwright end-to-end checks
- Code-first API and browser monitoring
- Monitoring services in private networks
Skip it if
- Teams requiring a fully self-hosted platform
- Projects with unpredictable high check volume
- Teams needing published SDK and API guarantees
ScoresHow it rates
What works
- Playwright checks run across Chromium, Firefox, and WebKit
- Monitors can live alongside application code
- Multi-step API checks support chained requests
- Private locations run on Docker or Kubernetes
- Open-source CLI and Terraform provider
What doesn't
- Core dashboard and backend are proprietary SaaS
- Hobby overages are not permitted
- Browser runs cost more than API runs
- Data export and migration paths need confirmation
- Support response and service guarantees vary by plan
01What Checkly is, technically
Checkly is a managed SaaS platform for synthetic monitoring, not a self-hosted monitoring server. It schedules browser and API checks from public cloud locations, records results, and sends alerts when availability, correctness, or performance checks fail. In a software stack, it sits outside the application: monitors exercise deployed endpoints and user flows, while teams define and deploy those monitors through code.
Browser checks use Microsoft Playwright across Chromium, Firefox, and WebKit. API checks assert status codes, headers, response payloads, and latency; multi-step checks can chain requests and pass variables between them. The platform also supports heartbeat monitors for cron jobs and background workers, status pages, and OpenTelemetry trace correlation for failures. For private networks, a containerized Checkly Agent runs on local Docker or Kubernetes infrastructure and connects using outbound-only connections. The central service remains managed SaaS.
02Checkly API, SDKs and docs
The main code-first integration is Monitoring as Code: define monitors in TypeScript or JavaScript, keep them in an application repository, and deploy them with the Checkly CLI. The CLI is open source under Apache 2.0. Checkly also lists a Go SDK and official Terraform and Pulumi providers. Browser checks use Playwright; API checks can include setup and teardown scripts, chained requests, and variables passed between steps.
The platform integrates with GitHub Actions, GitLab CI, Vercel, and Jenkins workflows. Alert channels include Slack, PagerDuty, Microsoft Teams, Opsgenie, email, SMS, phone calls, and custom webhooks. OpenTelemetry connects check failures to backend traces, and an MCP server supports AI coding assistants. Checkly's published materials do not establish a specific management API protocol or SDK coverage across languages; confirm those details and current examples in the vendor's documentation before building a custom integration.
03Checkly pricing for developers
The free Hobby plan costs $0 per month and includes one user, 10 uptime monitors, 10,000 API runs, and 1,000 browser runs per month. It includes six public locations, with a maximum of three per check, and does not permit overages. A 14-day free trial is also listed.
Starter costs $29 monthly or $24 per month billed annually; it includes three users, 25,000 API runs, and 3,000 browser runs. Team costs $80 monthly or $64 per month billed annually, with 10 users, 100,000 API runs, 12,000 browser runs, all 22 public locations, and private locations. Starter overages cost $2.60 per 10,000 API runs and $6.50 per 1,000 browser runs; Team rates are $2.50 and $6.25, respectively. Prepaid extra runs are listed at $1.80 per 10,000 API runs and $4 per 1,000 browser runs. Extra uptime monitors cost $8 per block of 25, or $10 monthly on monthly billing. Communicate and Resolve are additional paid plans on Starter and Team. Enterprise pricing is custom.
04Checkly: open source, self-hosting and lock-in
Checkly's central platform, dashboard, and backend are proprietary SaaS. The Checkly CLI is Apache 2.0, and the vendor also lists an open-source Go SDK and Terraform provider. You can run check execution inside private infrastructure with the Checkly Agent container on Docker or Kubernetes, but that does not self-host the control plane or replace the hosted service.
Monitoring as Code keeps monitor definitions in TypeScript or JavaScript repositories, which gives teams source-controlled definitions to work from if they migrate. It does not make Checkly's scheduling, results history, alerting, status pages, or trace correlation portable by itself. The vendor does not publish data export or migration details here; ask about exporting historical results, monitor configuration, and status-page data before depending on the platform long term.
05Checkly in production
Checkly's plan limits make run volume and browser-check frequency key production cost inputs. Hobby blocks overages, while Starter and Team list per-run overage rates. Team and Enterprise include private locations; for private-network checks, teams must operate the Checkly Agent on Docker or Kubernetes. The vendor lists an Enterprise 99.9% uptime SLA, but the other plans do not list an SLA in the published pricing details.
Before rollout, confirm the rate limits for any integrations you depend on, retention requirements, security and compliance terms, and how results can be exported. The listed raw retention ranges from seven days on Hobby and Starter to 30 days on Team and 180 days on Enterprise. One Reddit thread asks for a self-hosted option and describes wanting more involved Playwright tests with historical pass and failure tracking. That is a useful signal about deployment preferences, not a broad reliability assessment.
From the threadsWhat users say
The available Reddit discussion is mixed: the poster wants a self-hosted option and more capable Playwright checks with history. It is one thread, so it offers limited evidence about broader user sentiment.
Is anyone aware of self-hosted version of https://www.checklyhq.com/?
uptime-kuma is a close candidate, but it only supports quite basic tests
Ideally it would be nice if it was possible to run more involved playwright tests
and keep track of the historical successes and failures
Questions people ask
What does Checkly monitor?
Checkly runs synthetic checks against API endpoints and web applications to assess availability, correctness, and performance. Its checks cover HTTP status codes, headers, response payloads, and latency, as well as Playwright-based browser flows. Heartbeat monitors can track cron jobs and background workers.
Can I write Checkly monitors as code?
Yes. Checkly's Monitoring as Code workflow lets teams define and deploy monitors in TypeScript or JavaScript using the Checkly CLI. The vendor describes storing those monitor definitions in application repositories alongside the code they monitor.
Can Checkly run checks in a private network?
Yes. Checkly offers Private Locations for services in private networks, local staging clusters, or behind a firewall. The containerized Checkly Agent runs on Docker or Kubernetes infrastructure and uses outbound-only connections to the hosted platform.
Can I self-host Checkly?
Not the full platform. The dashboard and central backend are proprietary SaaS. Check execution can run inside private infrastructure using the Checkly Agent, and the CLI is open source under Apache 2.0, but these options do not self-host Checkly's control plane.
Which browsers does Checkly support?
Checkly's synthetic browser checks use Microsoft Playwright and run across Chromium, Firefox, and WebKit. Each run captures execution logs, step timings, Web Vitals, screenshots, and Playwright failure traces.