AI TOOL PROFILE
Checkly Review: Application Monitoring Software
- Software Development
- Application Performance Monitoring
- Software companies
- Engineering teams
- Developers
Pricing
Checkly uses a freemium model and offers a free tier with a start-for-free option.
At a glance
- Best for
- Software companies, Engineering teams, Developers
- Key use cases
- API Availability Tracking, Critical User Path Testing, Infrastructure Health Checks, ETL Pipeline Monitoring
- Integrations
- GitHub, Vercel, Slack, PagerDuty, OpsGenie
- Official website
- Visit checkly official website

How AI is used
Checkly is an application monitoring platform designed for developers and engineering teams to monitor service availability. It combines uptime checks with synthetic monitoring, which supports simulating user interactions to identify functional errors before they impact users.
The platform supports a 'Monitoring as Code' workflow via its own CLI, Terraform, and Pulumi, allowing monitors and alerts to be versioned and managed as code. It also includes observability tools such as distributed tracing and AI-supported root cause analysis through Rocky AI.
Buyers should confirm if their team has the technical capacity to manage monitoring via code and if they require specific global check locations, as the platform supports deployment to over 20 locations.
Key Features
Synthetic Monitoring
Uses Playwright to simulate user flows, such as logins and checkout processes, to identify functional errors.
Uptime Monitoring
Tracks the availability of URLs, TCP ports, DNS, and database backups from multiple global locations.
API Checks
Supports HTTP requests with assertions for status codes and JSON properties, including multi-step flow scripting.
Monitoring as Code
Supports the creation and versioning of monitors using Checkly CLI, Terraform, or Pulumi.
Rocky AI Analysis
Provides automated root cause analysis of check runs to help identify why a failure occurred.
Status Pages
Provides branded pages to communicate application availability and status updates to customers.
Use Cases
API Availability Tracking
Monitoring specific API routes and endpoints to ensure they return the correct status codes and response times.
Critical User Path Testing
Using browser checks to verify that essential flows, such as a checkout process, are functioning correctly in production.
Infrastructure Health Checks
Using TCP checks to monitor the availability of services like SSH or SMTP.
ETL Pipeline Monitoring
Setting up heartbeat checks to ensure nightly data pipelines complete as expected.
Integrations
- GitHub
- Vercel
- Slack
- PagerDuty
- OpsGenie
- GitLab CI
- Jenkins
- Prometheus
- Coralogix
- Rootly
- Incident.io
- Microsoft Teams
- Telegram
FAQ
What is Synthetic Monitoring in Checkly?
- Synthetic monitoring uses Playwright to simulate user interactions, such as filling out a form or completing a checkout, to detect errors before customers encounter them.
Does Checkly support Infrastructure as Code?
- Yes, Checkly supports a Monitoring as Code workflow through its CLI, as well as dedicated providers for Terraform and Pulumi.
Who is Checkly best suited for?
- It is designed for engineering teams, developers, and software companies that prefer a code-first approach to application reliability.
Source category: Software Development
Source subcategory: Application Performance Monitoring
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