Skip to content
Checkly Monitor logo

Checkly Monitor

Unclaimed

Unify testing, monitoring, and observability with an AI-native workflow for application reliability.

Visit Website
Reviews onG2Capterra
34 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Reduces observability costs by consolidating tools.

Biggest con

Requires coding knowledge for advanced monitoring as code features.

TL;DR - Checkly Monitor

  • Unifies testing, monitoring, and observability with a code-based approach.
  • Proactively detects issues with uptime and synthetic monitoring using Playwright.
  • Streamlines incident response with smart alerts, status pages, and AI-powered root cause analysis.
Pricing: Free plan available
Best for: Growing teams
4.5/5 across review platforms

What is Checkly Monitor?

Editorial review
Checkly is an application reliability platform that helps engineering and SRE teams proactively detect, communicate, and resolve issues across their applications. It unifies testing, monitoring, and observability into a single, developer-friendly, AI-native workflow. The platform allows users to monitor URLs, APIs, TCP ports, DNS, and database backups 24/7 from multiple global locations, ensuring immediate detection of service outages or unreachable web pages. Beyond basic uptime checks, Checkly offers synthetic monitoring using Playwright to simulate real user interactions and API calls, identifying functional errors or performance bottlenecks before they impact customers. It integrates smart alerting with various communication channels like Slack and PagerDuty, and provides automated status pages to keep customers informed. The platform emphasizes a "Monitoring as Code" approach, enabling developers to define, manage, and deploy monitors alongside their code using JavaScript/TypeScript, Playwright, OpenTelemetry, CLI, Terraform, or Pulumi, and integrate them into CI/CD workflows. It also offers advanced debugging with traces and AI-powered root cause analysis.

Available on: Web

Pros & Cons

Pros

  • Reduces observability costs by consolidating tools.
  • Accelerates developer velocity by shifting reliability left.
  • Improves incident response time with contextual alerts and automated communication.
  • Offers flexible and scalable monitoring through a code-based approach.
  • Provides deep insights with full-stack traces and AI-powered analysis.

Cons

  • Requires coding knowledge for advanced monitoring as code features.
  • Reliance on Playwright might be a learning curve for teams unfamiliar with it.

Ratings Across the Web

4.5(34 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Uptime Monitoring (URLs, TCP ports, DNS, database backups, heartbeats)Synthetic Monitoring (Playwright-based user flow and API testing)Monitoring as Code (CLI, Terraform, Pulumi, JavaScript/TypeScript)Smart Alerting (Slack, PagerDuty, email, custom thresholds, retry logic)Automated Status PagesOpenTelemetry Traces for full-stack visibilityRocky AI for Root Cause AnalysisGlobal monitoring locations (22+ data centers)

Pricing Plans

Free Trial

Hobby

$0 / month

  • 10 Uptime Monitors
  • 2 Min. Maximum Frequency
  • 4 Locations
  • 1,000 Browser/Playwright Checks
  • 10,000 API Checks
  • Round Robin Automatic retries
  • Email, Slack, Webhooks for Alerting

Starter

$24 / month

  • 50 Uptime Monitors
  • 1 Min. Maximum Frequency
  • 4 Locations
  • 3k Browser/Playwright Checks
  • 25k API Checks
  • Round Robin Automatic retries
  • Email, Slack, SMS, Webhooks for Alerting

Team

$64 / month

  • 75 Uptime Monitors
  • 30 Sec. Maximum Frequency
  • 22 Locations
  • 12k Browser/Playwright Checks
  • 100k API Checks
  • Round Robin Automatic retries
  • All Alerting Channels

Enterprise

Custom

  • Custom Uptime Monitors
  • 1 Sec. Maximum Frequency
  • 22 Locations
  • RR & Parallel Scheduling
  • Automatic retries
  • All Alerting Channels

How Checkly Monitor's pricing compares

At $24/mo, Checkly Monitor is mid-range of its 6 direct competitors ($9 to $50/mo across the set).

Entry paid plan, monthly.

Reviews

4.5/5

Across 34 verified user reviews on G2, Capterra

Add your hands-on experience to help the next buyer.

Best Checkly Monitor Alternatives

Top alternatives based on features, pricing, and user needs.

View full list →

Most buyers shortlist 2 or 3 tools before committing. Pull a side-by-side comparison or browse the full alternatives shortlist below.

Explore More

Checkly Monitor FAQ

What types of uptime checks can Checkly perform?

Checkly can perform various uptime checks including monitoring URLs, TCP ports, DNS records, and heartbeat checks for scheduled jobs. These checks help ensure connectivity, domain resolution, and the successful completion of critical tasks.

How frequently can Checkly perform uptime monitoring checks?

Checkly offers industry-leading monitoring frequency, allowing checks to run as often as every second. This enables rapid detection of critical availability issues, often faster than competitors.

How does Checkly's synthetic monitoring leverage Playwright?

Checkly uses Playwright to simulate real user interactions across web applications and APIs. This allows for proactive identification of functional errors or performance issues, such as broken user flows, before they impact customers.

Can I reuse my existing Playwright tests with Checkly for synthetic monitoring?

Yes, you can reuse your existing Playwright test suite with Checkly. These tests can then be deployed to Checkly's global monitoring infrastructure to continuously validate UI, APIs, and cron jobs in a production environment.

What is 'monitoring as code' and how does Checkly support it?

Monitoring as code allows you to define, manage, and deploy monitors using code, integrating them directly into your CI/CD workflow. Checkly supports this through its CLI, Terraform, and Pulumi providers, enabling automation and scalability for your monitoring processes.

How does Checkly help in debugging errors detected by synthetic monitoring?

Checkly automatically collects error traces, screenshots, and videos for fast debugging after an alert is received. It also provides full-stack traces for deeper insights into the context of errors.

Guides & Articles