Checkly vs Better Stack: In-Depth Comparison 2026

Checkly and Better Stack solve different problems. Checkly is a synthetic monitoring platform built around Playwright and monitoring as code. Better Stack is a full-stack observability platform that combines uptime monitoring, log management, error tracking, incident management, and status pages in one unified interface.

The core difference is scope. Checkly gives teams a specialized tool for running browser tests, API checks, and multi-step transactions from global locations and managing those checks as TypeScript code. Better Stack gives teams a broader observability platform where synthetic checks are one component alongside logs, traces, metrics, and incident workflows.

This comparison covers both platforms across pricing models, synthetic monitoring capabilities, observability scope, incident management features, and deployment options. Where Checkly genuinely leads, we acknowledge it. Where Better Stack covers ground Checkly does not, that gap matters for evaluation.

Quick comparison at a glance

	Checkly	Better Stack
Core focus	Synthetic monitoring, Playwright-native, monitoring as code	Full-stack observability with logs, uptime, incidents, status pages
Deployment	SaaS only, global edge network	SaaS only
Synthetic monitoring	Native Playwright, API, TCP/DNS/ICMP, multistep browser flows	Uptime + API checks, Playwright in beta
Log management	Not included	Full (SQL-queryable, 100% indexed)
Distributed tracing	Traces product (OTel-native, separate)	Full APM (eBPF + OTel)
Infrastructure metrics	Not included	Full (Prometheus/PromQL, no cardinality penalty)
Incident management	Not included (integrates PagerDuty/OpsGenie)	Included ($29/responder/month)
Status pages	Separate Communicate plan ($9-30/month)	Included with platform
Error tracking	Not included	Included
OpenTelemetry	Native (tracing product)	Native, first-class
Pricing model	Plan tiers based on check runs	Data volume + responders
Enterprise features	SOC 2 Type II, MFA, SAML/SSO (Enterprise only)	SOC 2 Type II, GDPR, SSO, SCIM, RBAC

Checkly Overview

Checkly is a synthetic monitoring platform built around the philosophy that monitoring should live in code, version alongside your application, and deploy as part of your CI/CD pipeline. The Checkly CLI lets you define API checks, Playwright browser tests, and uptime monitors as TypeScript constructs, version them in Git, and push them to Checkly’s global infrastructure with a single command.

This monitoring as code model is Checkly’s core differentiator. Teams write browser tests once in Playwright and run them as both pre-deploy validation in CI and live production monitoring from 22 global locations. The workflow mirrors how infrastructure engineers manage Terraform or Kubernetes manifests. Monitoring becomes testable, reviewable, and integrated into the same pull request process as application code.

Checkly’s synthetic monitoring covers API checks, browser-based Playwright scripts, TCP/DNS/ICMP checks, and multistep user flows. Checks run at intervals from 1 minute (Starter plan) to 10 seconds (Enterprise plan) from probe locations across North America, Europe, Asia, and Australia.

What Checkly is not: a general-purpose observability platform. It does not manage logs, does not collect infrastructure metrics, and does not include on-call scheduling or incident management. When a Playwright check fails, Checkly tells you what failed and provides Rocky AI’s analysis of why. Resolving the underlying issue still requires separate tools for log inspection, trace analysis, or error tracking.

Checkly integrates with external alerting platforms (PagerDuty, OpsGenie, Slack, Teams, webhooks) and includes a separate Traces product that ingests OpenTelemetry traces to correlate synthetic test results with real application behavior. But these are distinct products with separate pricing rather than unified workflows in a single platform.

For teams whose reliability strategy is “continuously test critical user journeys in production using Playwright” and who already have separate tools for logs, APM, and on-call, Checkly’s focused approach is a strength. For teams evaluating whether one platform can cover synthetic monitoring plus the rest of their observability needs, the scope gap becomes the decision point.

Better Stack Overview

Better Stack is a full-stack observability platform that unifies uptime monitoring, log management, distributed tracing, error tracking, incident management, and status pages in a single interface. The platform is built around the principle that observability workflows should not require juggling separate tools. When an alert fires, all relevant context (logs, traces, metrics, incident timeline, on-call schedule) lives in one place rather than scattered across vendor dashboards.

The architecture covers the full reliability loop. eBPF-based automatic instrumentation captures logs, metrics, and distributed traces from your infrastructure without code changes. That telemetry lands in a unified data warehouse queryable via SQL or PromQL. Alerts fire based on any combination of logs, metrics, or traces. Incidents automatically page the on-call engineer with full diagnostic context. Status pages update based on live system state rather than manual entries.

Better Stack’s synthetic monitoring includes uptime checks, API endpoint monitoring, and Playwright-based browser checks (currently in beta). These checks run from multiple global locations and integrate directly with the incident management workflow. Unlike Checkly, where synthetic monitoring is the entire product, Better Stack positions it as one signal type alongside logs, traces, and infrastructure metrics.

The log management component is particularly deep. Better Stack indexes 100% of ingested logs with no sampling, stores them in a SQL-queryable format, and charges a flat $0.10/GB ingestion fee with no separate indexing costs. Logs are automatically correlated with traces, so clicking a trace span surfaces all related log entries without manual query construction.

Distributed tracing uses eBPF instrumentation for automatic trace capture plus OpenTelemetry compatibility for manual instrumentation. Traces link to logs, infrastructure metrics, and error stack traces in the same UI. When troubleshooting a slow API endpoint, you see the full picture: which service is slow, what logs it emitted, what database queries ran, and what infrastructure metrics spiked.

Incident management includes on-call schedules, escalation policies, phone/SMS alerting, Slack/Teams integration, and incident timelines that automatically aggregate all alerts, logs, traces, and status page updates related to a single event. The pricing is $29 per responder per month with unlimited phone and SMS alerts.

Better Stack deploys as SaaS only. There is no self-hosted option. This rules it out for teams with strict data residency requirements or air-gapped environments, but simplifies operations for teams comfortable with SaaS observability.

Feature by feature comparison

Synthetic monitoring capabilities

Checkly: This is Checkly’s core strength. The platform is built specifically for synthetic monitoring with deep Playwright integration and monitoring as code workflows.

Checkly supports API checks (HTTP/REST), browser checks (full Playwright scripts), TCP/DNS/ICMP checks, and multistep transaction tests. All checks are defined as code using the Checkly CLI or Terraform provider, versioned in Git, and deployed alongside application code.

Check frequency ranges from 1 minute (Starter plan) to 10 seconds (Enterprise plan). Probe locations include 22 global regions with the ability to select specific regions per check. Browser checks run in headless Chromium with full access to Playwright’s API, including waits, assertions, screenshots, and network traffic inspection.

The monitoring as code workflow is the key differentiator. Teams write checks as TypeScript, maintain them in version control, run them in CI pipelines for pre-deploy validation, and deploy them to production monitoring automatically. This eliminates the drift between “tests we run before deploy” and “monitors we run in production.”

Rocky AI, Checkly’s root cause analysis tool, analyzes failed checks and provides diagnostic context. This is available on separate pricing tiers (Resolve plans from $12 to $39/month depending on team tier).

Better Stack: Synthetic monitoring in Better Stack is narrower in scope but integrated into the broader observability workflow.

Better Stack supports uptime checks (HTTP/HTTPS), API checks, and Playwright-based browser checks (currently in beta). Checks run from multiple global locations with configurable intervals. Results integrate directly into the incident management workflow. When a check fails, it can trigger an incident, page the on-call engineer, and automatically correlate with related logs, traces, and metrics.

The monitoring as code model is less developed. Better Stack does not offer a CLI or Terraform provider for synthetic checks. Checks are configured in the web UI rather than versioned as code.

Browser check capabilities are less mature than Checkly. Playwright support is in beta as of early 2026, so teams relying heavily on complex multistep browser flows may find Checkly’s implementation more production-ready.

Verdict: Checkly leads decisively on synthetic monitoring depth. The Playwright integration is more mature, the monitoring as code workflow is native to the platform, and the feature set is broader. Better Stack positions synthetic monitoring as one signal type in a full observability stack rather than the primary focus.

Log management

Checkly: Checkly does not include log management. When a synthetic check fails, Checkly provides the check result, error message, screenshots (for browser checks), and Rocky AI’s analysis. Investigating the root cause often requires pulling logs from a separate tool.

Teams using Checkly typically pair it with dedicated log management platforms like Better Stack, Datadog, or self-hosted ELK stacks.

Better Stack: Log management is a core component of the platform. Better Stack ingests logs from any source (Logstash, FluentBit, OpenTelemetry, Elastic agents), indexes 100% of log data, and stores it in a SQL-queryable format.

The pricing is $0.10/GB ingestion + $0.05/GB/month retention. All logs are fully searchable by default with no separate indexing fees. This avoids the two-part billing trap where you pay to ingest logs and pay again to index a subset of them.

Logs are automatically correlated with traces. Clicking a trace span surfaces all related log entries without manual filtering. When troubleshooting a failed synthetic check or slow transaction, logs appear in context alongside traces and metrics.

Verdict: Better Stack includes full log management. Checkly does not. This is a fundamental difference in platform scope rather than a feature gap to compare.

Distributed tracing and APM

Checkly: Checkly offers a separate Traces product that ingests OpenTelemetry traces and correlates them with synthetic check results. This is distinct from the core synthetic monitoring product and priced separately.

The Traces product visualizes trace waterfalls, identifies slow spans, and links trace data to check failures. Teams using Checkly for synthetic monitoring can optionally add the Traces product to correlate check results with real application behavior.

This is narrower than a full APM platform. Checkly Traces does not include automatic instrumentation, infrastructure metrics, error tracking, or service dependency mapping.

Better Stack: Better Stack includes full APM with distributed tracing as a core platform component. Instrumentation happens via eBPF agents (automatic, no code changes) or OpenTelemetry collectors (manual instrumentation for deeper control).

Traces include end-to-end visibility across microservices, automatic service dependency maps, span-level performance breakdowns, and correlation with logs and infrastructure metrics. The pricing is $0.10/GB ingestion + $0.05/GB/month retention, the same rate as logs.

When a trace shows a slow database query, Better Stack surfaces the exact query, the logs emitted during that span, and the infrastructure metrics (CPU, memory, disk I/O) for the database host at that timestamp.

Verdict: Better Stack includes full APM with distributed tracing as a native platform feature. Checkly offers traces as a separate add-on product focused on correlating traces with synthetic checks rather than full application performance monitoring.

Infrastructure monitoring

Checkly: Checkly does not monitor infrastructure. It monitors synthetic user journeys and API endpoints. Infrastructure metrics (host CPU, memory, disk, network) are out of scope.

Better Stack: Infrastructure monitoring is included. Better Stack collects metrics from servers, containers, Kubernetes clusters, databases (MySQL, PostgreSQL, Redis, RabbitMQ, Kafka), and cloud services (AWS EC2, EBS, ECS, Lambda, RDS, DynamoDB).

Metrics are stored in Prometheus format and queryable via PromQL. The pricing is $0.50/GB/month with no cardinality penalties. Adding high-cardinality labels (pod name, endpoint path, user ID) does not change the bill.

Better Stack automatically correlates infrastructure metrics with logs, traces, and alerts. When a synthetic check fails or a trace shows high latency, you see the infrastructure context: which host was at 90% CPU, which pod was OOMKilled, which database was experiencing replication lag.

Verdict: Better Stack includes infrastructure monitoring. Checkly does not. This is another scope difference rather than a feature gap to compare.

Incident management and alerting

Checkly: Checkly fires alerts when checks fail. Alerts route to Slack, Teams, email, webhooks, PagerDuty, or OpsGenie. Checkly does not include incident management workflows, on-call schedules, or escalation policies.

Teams using Checkly for alerting typically integrate it with external incident management platforms like PagerDuty or OpsGenie, which add separate per-user fees ($21 to $41/user/month for PagerDuty, $9 to $29/user/month for OpsGenie).

Better Stack: Incident management is included. Better Stack provides on-call schedules, escalation policies, phone/SMS alerting, and incident timelines that automatically aggregate all related alerts, logs, traces, and status page updates.

The pricing is $29/responder/month with unlimited phone and SMS alerts. Alerts can trigger based on any combination of logs, metrics, traces, or synthetic check failures. Incidents automatically page the on-call engineer with full diagnostic context (logs, traces, infrastructure metrics) rather than just an alert message.

Incident timelines provide a chronological view of everything that happened during an incident: when it started, what alerts fired, what logs appeared, what actions the on-call engineer took, when it resolved. This becomes the foundation for post-incident reviews.

Verdict: Better Stack includes full incident management with on-call scheduling and unlimited phone/SMS alerting. Checkly requires integration with external incident management platforms, which add separate per-user costs.

Status pages

Checkly: Status pages are available as a separate Communicate plan with pricing from $9/month (Starter) to $30/month (Team) to custom enterprise pricing. Status pages update based on synthetic check results.

Better Stack: Status pages are included with the platform at no additional cost. Status pages update automatically based on live system state (uptime checks, synthetic monitors, infrastructure metrics, incident status). There is no separate plan required.

Verdict: Both platforms offer status pages. Better Stack includes them as part of the core platform. Checkly charges separately via the Communicate plan.

AI-powered root cause analysis

Checkly: Rocky AI analyzes failed checks and provides diagnostic context. It identifies patterns in failures, suggests likely root causes, and highlights relevant logs or traces (if the Traces product is enabled). Rocky AI is available on separate Resolve plan tiers ($12 to $39/month depending on base plan).

Better Stack: AI SRE (Better Stack’s AI feature) autonomously investigates incidents by correlating logs, traces, metrics, and alerts. It identifies anomalies, suggests root causes, and provides diagnostic context without requiring manual log searches or trace inspection. AI SRE is included with the platform at no additional cost.

Verdict: Both platforms offer AI-assisted root cause analysis. Checkly’s Rocky AI focuses specifically on synthetic check failures. Better Stack’s AI SRE covers the full observability stack (logs, traces, metrics, errors, incidents).

Pricing comparison

Checkly and Better Stack use fundamentally different pricing models. Checkly charges based on check run volumes organized into plan tiers. Better Stack charges based on data volume ingested and number of on-call responders.

Checkly pricing structure

Checkly’s pricing is organized into four tiers: Hobby (free), Starter ($24/month), Team ($64/month), and Enterprise (custom). Each tier includes allowances for browser check runs, API check runs, uptime monitors, and probe locations. Overage pricing applies when usage exceeds plan limits.

Annual billing (billed quarterly):

• Hobby: $0/month (10 uptime monitors, 1k browser runs, 10k API runs, 6 locations)
• Starter: $24/month (50 uptime monitors, 3k browser runs, 25k API runs, 6 locations)
• Team: $64/month (75 uptime monitors, 12k browser runs, 100k API runs, 22 locations)
• Enterprise: Custom pricing

Overage pricing:

• Browser check overages: $6.25 to $6.50 per 1k runs
• API check overages: $2.50 to $2.60 per 10k runs

Add-on plans (separate monthly fees):

• Status pages (Communicate plans): Hobby $0 / Starter $9 / Team $30 / Enterprise custom
• Root cause analysis (Resolve plans): Hobby $0 / Starter $12 / Team $39 / Enterprise custom

A team on the Team plan with status pages and Rocky AI enabled pays $64 + $30 + $39 = $133/month before check overages.

For teams with high-frequency checks or many endpoints to monitor, costs can scale quickly. Running 50 API endpoints checked every minute (50 endpoints × 1 check/min × 60 min × 24 hr × 30 days = 2.16M API checks/month) would exceed the Team plan’s 100k API check allowance by 2.06M runs, adding approximately $515/month in overage fees. Total cost: $133 base + $515 overages = $648/month for this synthetic monitoring workload.

Full Checkly pricing details are available at checklyhq.com/pricing.

Better Stack pricing structure

Better Stack charges based on data volume ingested (logs, metrics, traces) and number of on-call responders. There are no plan tiers or check run limits.

Pricing per GB ingested and stored:

• Logs: $0.10/GB ingestion + $0.05/GB/month retention (100% searchable, no indexing fees)
• Traces: $0.10/GB ingestion + $0.05/GB/month retention
• Metrics: $0.50/GB/month (no cardinality penalties)
• Error tracking: $0.000050 per exception

Per-feature pricing:

• Uptime monitors: $0.21/month each
• Responders (incident management): $29/month (unlimited phone/SMS alerts)

A growing team ingesting 1TB logs, 300GB traces, 100GB metrics per month with 5 on-call responders and 100 uptime monitors:

• Logs: (1,000GB × $0.10) + (1,000GB × $0.05) = $150/month
• Traces: (300GB × $0.10) + (300GB × $0.05) = $45/month
• Metrics: 100GB × $0.50 = $50/month
• Uptime monitors: 100 × $0.21 = $21/month
• Responders: 5 × $29 = $145/month
• Total: $411/month

For synthetic monitoring alone (100 uptime checks running every 1 minute from 5 global locations, no logs/traces/metrics), the cost is $21/month for the checks plus $145/month for 5 responders = $166/month. This is higher than Checkly’s Starter plan ($24/month) but includes incident management workflows that would require separate PagerDuty/OpsGenie fees if using Checkly.

Full Better Stack pricing details are available at betterstack.com/pricing.

Pricing based on publicly available information as of April 2026. Enterprise discounts, custom contracts, and negotiated rates are not reflected here.

Cost comparison: three team profiles

Small team (synthetic monitoring only):

• 25 uptime monitors, 2k browser checks/month, 15k API checks/month, status page, 2 responders

Checkly: Starter plan $24 + Communicate $9 + Resolve $12 = $45/month

Better Stack: 25 monitors ($5.25) + 2 responders ($58) = $63.25/month

Checkly is cheaper for small teams focused purely on synthetic monitoring with minimal incident management needs.

Mid-sized team (synthetic + logs + APM):

• 50 uptime monitors, 10k browser checks/month, 75k API checks/month, 500GB logs, 200GB traces, 50GB metrics, 5 responders

Checkly: Team plan $64 + Communicate $30 + Resolve $39 + API overages (25k runs at $2.50/10k = $6.25) = $139.25/month for synthetic monitoring only. Logs, traces, and metrics require separate tools (Datadog, New Relic, Better Stack, or self-hosted ELK), typically adding $500 to $2,000/month.

Better Stack: Logs $75 + Traces $30 + Metrics $25 + Monitors $10.50 + Responders $145 = $285.50/month for the full observability stack including synthetic monitoring, logs, traces, metrics, and incident management.

Better Stack is more cost-effective when the team needs synthetic monitoring plus full observability. Checkly requires multiple tools to achieve the same coverage.

Enterprise team (high-frequency checks + full observability):

• 200 uptime monitors, 50k browser checks/month, 500k API checks/month, 3TB logs, 1TB traces, 300GB metrics, 10 responders

Checkly: Enterprise plan (custom pricing, typically $500 to $1,500/month based on community reports) + Communicate Enterprise + Resolve Enterprise. Logs, traces, and metrics still require separate tools, adding $2,000 to $5,000/month depending on vendor.

Better Stack: Logs $450 + Traces $150 + Metrics $150 + Monitors $42 + Responders $290 = $1,082/month for the full observability stack.

Better Stack’s unified pricing is more predictable and often lower at enterprise scale when full observability coverage is required.

This estimate models specific workload profiles. Your actual costs will vary based on check frequency, data volume, retention period, and feature usage.

Who should choose each

Choose Checkly if:

• Your primary need is synthetic monitoring with deep Playwright integration and monitoring as code workflows
• You want to define checks as TypeScript, version them in Git, and deploy them via CI/CD pipelines
• You already have separate tools for logs, APM, and incident management and need a specialized synthetic monitoring layer
• Your reliability strategy is “continuously test critical user journeys in production using Playwright”
• You are a small team (under 10 engineers) running low-volume synthetic checks and want minimal cost

Choose Better Stack if:

• You need synthetic monitoring plus logs, traces, metrics, error tracking, and incident management in one platform
• You want unified workflows where synthetic check failures automatically correlate with logs, traces, and infrastructure metrics
• You need on-call scheduling, escalation policies, and phone/SMS alerting without integrating external incident management tools
• You want predictable data-volume-based pricing rather than per-check-run billing that can spike with traffic
• You are a growing team (10 to 100+ engineers) that needs full-stack observability without juggling multiple vendor dashboards

Choose CubeAPM if:

• You need full-stack observability (APM, logs, infrastructure, Kubernetes, RUM, synthetic monitoring) but require data to stay inside your own cloud or on-premises
• You want OpenTelemetry-native instrumentation with unlimited data retention and no per-seat fees
• You need predictable $0.15/GB pricing that covers all signal types (logs, traces, metrics) with no separate indexing or egress charges
• You have data residency, HIPAA, or GDPR requirements that rule out SaaS-only platforms
• You want engineering-level support via direct Slack/WhatsApp channels rather than ticketed support queues

CubeAPM runs inside your VPC or on-prem, keeping telemetry data within your infrastructure. It includes APM, distributed tracing, log management, infrastructure monitoring, Kubernetes monitoring, RUM, synthetic monitoring, and error tracking in one platform. Pricing is $0.15/GB for all data ingested with unlimited retention and no per-user fees. Full CubeAPM pricing and features are available at cubeapm.com/pricing.

Migration considerations

Migrating from Checkly to Better Stack

Better Stack supports uptime and API checks similar to Checkly’s core monitoring. Playwright browser checks are in beta as of early 2026, so teams relying heavily on complex browser flows should verify that Better Stack’s Playwright implementation meets their requirements before migrating.

The monitoring as code workflow does not have a direct equivalent in Better Stack. Checks are configured via the web UI rather than defined as code in Git. Teams that version checks as TypeScript and deploy them via CI/CD will lose that workflow.

Better Stack’s incident management, log correlation, and trace integration add capabilities that do not exist in Checkly. Teams migrating from Checkly gain a unified observability platform but trade specialized synthetic monitoring depth for broader coverage.

Migrating from Better Stack to Checkly

Teams migrating from Better Stack to Checkly need separate tools to replace logs, traces, infrastructure monitoring, and incident management. Checkly focuses specifically on synthetic monitoring and does not provide these capabilities.

The monitoring as code workflow is Checkly’s primary advantage. Teams that want to define checks as TypeScript, maintain them in version control, and deploy them alongside application code will find this workflow a significant improvement over Better Stack’s UI-based check configuration.

Checkly’s Playwright integration is more mature than Better Stack’s beta implementation. Teams with complex multistep browser flows benefit from Checkly’s production-ready Playwright support.

Verdict

Checkly and Better Stack are not direct competitors. They solve different problems for different team profiles.

Checkly is the better choice for teams that need specialized synthetic monitoring with deep Playwright integration, monitoring as code workflows, and a focused tool for testing critical user journeys. It excels at what it does—running synthetic checks from global locations with developer-friendly workflows—but leaves logs, APM, and incident management to other tools.

Better Stack is the better choice for teams that need synthetic monitoring as part of a broader observability strategy. It includes logs, traces, infrastructure metrics, error tracking, incident management, and status pages in one platform with unified pricing and correlated workflows. The synthetic monitoring implementation is narrower than Checkly’s, but the platform covers the full reliability loop without requiring multiple vendor dashboards.

CubeAPM is the better choice for teams that need full-stack observability with data sovereignty and predictable pricing. It covers the same scope as Better Stack (APM, logs, infrastructure, RUM, synthetics, error tracking) but deploys inside your own cloud or on-prem, ensuring compliance with data residency requirements while avoiding unpredictable SaaS costs.

The decision comes down to scope and priorities. If synthetic monitoring is your primary need and you already have separate observability tools, Checkly is purpose-built for that. If you need synthetic monitoring plus the rest of your observability stack in one platform, Better Stack or CubeAPM provide that coverage. If you need data to stay inside your infrastructure, CubeAPM is the only option among the three that supports on-premises deployment.

Disclaimer: The information in this article reflects the latest details available at the time of publication and may change as technologies and products evolve. Features, pricing, and plan limits can change over time. Always verify the latest information directly with the vendor before making purchasing or deployment decisions.

Frequently Asked Questions