Best Checkly Alternatives in 2026

Checkly alternatives are worth evaluating if your team needs broader observability beyond synthetic monitoring, or if Checkly's pricing model does not fit your budget as monitor counts grow. Checkly is a monitoring-as-code platform built around Playwright and JavaScript/TypeScript test scripts, offering synthetic monitoring with CI/CD-native workflows. The Hobby tier is free with 10 monitors and 1K browser checks per month, while the Starter plan costs $24/month for 50 monitors and the Team plan runs $64/month for 75 monitors with visual regression testing. The observability market in 2026 includes several platforms that overlap with or extend Checkly's synthetic monitoring capabilities in different directions.

Top Alternatives Overview

Datadog is a full-stack observability platform that includes Synthetic Monitoring as one module within a broader suite covering APM, infrastructure monitoring, log management, and security. Datadog's synthetic checks support API tests, browser tests, and multi-step API tests with locations across 100+ global regions. The key advantage over Checkly is consolidation: teams already using Datadog for traces and logs can add synthetic monitoring without managing a separate vendor. Usage-based pricing starts at $0.75 per host per month for infrastructure monitoring, with synthetic tests priced separately per test run. The trade-off is cost unpredictability at scale and no native Playwright integration. Datadog is the strongest choice for organizations that need synthetic monitoring, APM, and log analytics unified under one billing umbrella.

Better Stack combines uptime monitoring, incident management, and a hosted status page into a single product. Better Stack's Uptime product starts at $29/month and includes HTTP, ping, and browser checks alongside integrated on-call scheduling and public status pages. The differentiator is operational simplicity: instead of stitching together separate tools for monitoring, alerting, and status communication, Better Stack handles all three. Better Stack Logs starts at $24/month for centralized log management. Unlike Checkly, Better Stack does not support Playwright-based browser scripts or monitoring-as-code workflows, making it better suited for teams that prioritize incident response speed over deep synthetic testing. Best for small-to-mid-size engineering teams that want monitoring plus incident management without managing multiple vendors.

Grafana Cloud provides a free tier with managed Prometheus, Loki, and Tempo backends, plus Grafana's synthetic monitoring module built on the open-source Grafana Agent. Grafana Cloud synthetic checks support HTTP, DNS, TCP, and multi-step scripted checks with configurable probe locations. The platform uses PromQL, LogQL, and TraceQL as native query languages and supports OpenTelemetry ingestion natively. For teams already running a Prometheus/Grafana observability stack, adding synthetic monitoring requires zero vendor switching. Grafana Cloud's pricing is consumption-based with no per-host fees, making costs predictable for monitoring-heavy workloads. The limitation compared to Checkly is that Grafana synthetic monitoring lacks native Playwright browser automation and CI/CD pipeline integration depth.

Sentry focuses on error tracking and performance monitoring for frontend and backend applications. The Developer tier is free with 5K errors per month, while the Team plan starts at $26/month and Business at $80/month with event-based billing. Sentry captures JavaScript errors, stack traces, session replays, and performance spans, providing visibility into what breaks in production. Sentry complements rather than replaces Checkly: where Checkly proactively checks if pages load correctly, Sentry reactively captures errors when real users hit problems. Teams running both get proactive and reactive coverage. Sentry is the best fit for frontend-heavy teams that need deep error diagnostics with source map support and release tracking.

New Relic delivers full-stack observability with 50+ capabilities including synthetic monitoring, APM, infrastructure monitoring, and AI-powered anomaly detection. New Relic's synthetic monitors support scripted browsers, API tests, and step monitors across managed global locations. Paid plans start at $19/month per host with 100 GB of free data ingest per month. New Relic supports OpenTelemetry natively and provides NRQL, a SQL-like query language, for ad hoc data exploration. The platform is the most direct enterprise-grade alternative to Checkly for teams that need synthetics bundled with distributed tracing, log correlation, and vulnerability management. New Relic is best for large organizations that want a single platform consolidating synthetic checks, APM traces, and infrastructure metrics.

SigNoz is a self-hosted, open-source observability platform built natively on OpenTelemetry. SigNoz Community Edition is free under Apache 2.0, while SigNoz Cloud offers a free tier with 10 GB of data per month and paid plans starting at $0.30 per GB for logs and metrics ingestion. The platform provides metrics, traces, and logs in a single UI with ClickHouse as its storage backend. SigNoz does not include built-in synthetic monitoring, but teams can feed Playwright test results into SigNoz via OpenTelemetry spans for end-to-end visibility. The primary advantage is zero vendor lock-in: all data stays in your infrastructure with full query access. SigNoz is the best choice for engineering teams that want complete data ownership and are comfortable self-hosting their observability stack.

Honeycomb specializes in distributed tracing and high-cardinality event analysis. The free tier includes 20 million events per month with 60-day retention, and the Pro plan starts at $130/month for higher volumes and longer retention. Honeycomb's query engine excels at slicing trace data across arbitrary dimensions without pre-defined indexes, making it powerful for debugging complex microservice architectures. Unlike Checkly's outside-in synthetic approach, Honeycomb provides inside-out observability by analyzing actual production traffic patterns. Honeycomb supports OpenTelemetry natively and is the strongest option for teams debugging latency issues, cascading failures, or intermittent errors across distributed systems where traditional synthetic checks cannot replicate real traffic complexity.

Architecture and Approach Comparison

Checkly pioneered the monitoring-as-code approach, where synthetic checks are defined as Playwright test scripts stored in version control and executed through CI/CD pipelines. This developer-centric model contrasts sharply with the traditional dashboard-driven approach used by Datadog, New Relic, and Better Stack, where monitors are configured through a web UI. Grafana Cloud bridges both worlds with Terraform providers and API-driven configuration alongside its Grafana dashboard interface. SigNoz and Honeycomb take a fundamentally different architectural stance: instead of synthetic probes, they instrument actual application traffic using OpenTelemetry SDKs and analyze real production data. SigNoz uses ClickHouse for columnar storage optimized for time-series queries, while Honeycomb uses a custom column-oriented storage engine built for high-cardinality trace analysis. The core trade-off is proactive versus reactive: Checkly and Datadog synthetics detect problems before users do, while Honeycomb and SigNoz surface issues from real user traffic after they occur.

Pricing Comparison

When to Consider Switching

Switch to Datadog or New Relic if your team needs synthetic monitoring combined with APM, logs, and infrastructure metrics under one vendor and can absorb usage-based pricing. Choose Better Stack if uptime monitoring with integrated incident management and status pages matters more than scripted browser testing. Move to Grafana Cloud if you are invested in the Prometheus ecosystem and want to avoid proprietary lock-in while keeping observability costs consumption-based. Pick SigNoz if data sovereignty and self-hosting are non-negotiable requirements for your compliance posture. Use Sentry alongside Checkly rather than replacing it, since the two cover different failure modes — proactive synthetic checks versus reactive error capture. Select Honeycomb when debugging distributed system performance across microservices is the primary use case and traditional dashboard-based monitoring falls short.

Migration Considerations

Checkly tests are Playwright scripts, which means they are portable JavaScript/TypeScript code that can be version-controlled and reused outside Checkly's platform. Migrating to Datadog or New Relic synthetics requires rewriting tests in each platform's proprietary scripted browser format, since neither supports raw Playwright natively. Grafana Cloud synthetic checks use a different scripting model based on k6 browser. Export your Checkly alert channel configurations and notification rules before switching, since alerting integrations with Slack, PagerDuty, and OpsGenie need full reconfiguration on any new platform. Plan a 2-4 week parallel-run period where both Checkly and the new platform monitor the same endpoints, comparing alert accuracy and response latency before cutting over completely. Budget additional time for re-creating dashboard layouts and SLA reporting if your team relies on Checkly's analytics features.