Artillery
CLI-first load testing, Playwright-native browser testing, and synthetic monitoring for teams that write their tests in YAML or JavaScript.
If your team already runs Playwright, Artillery is the shortest path from E2E tests to browser-based load tests, and the $199/mo Team tier bundles both load and E2E testing with 1,000 reports/month. Self-service SSO and SCIM onboarding now ship from the Cloud dashboard, which removes the old enterprise onboarding friction. The free tier's 30 reports/month, 2 team members, and 5 workers per distributed test keep it firmly in proof-of-concept territory. Against k6 and Locust the differentiator is Playwright reuse, not raw load-generation throughput — if you only need protocol-level API load, evaluate those before paying here.
Verified 58m ago · liveness 77/100 · cite: rightaichoice.com/tools/artillery
- SREs and DevOps engineers running distributed load tests on their own AWS or Azure accounts
- QA teams with large Playwright E2E suites that need sharding and parallelization
- Developers who want one subscription covering API load testing, browser load testing, and E2E reporting
- Cloud-native teams that need per-run cost reporting and AWS resource tagging
- Teams that need a no-code or point-and-click test builder; Artillery is YAML and JavaScript only
- Mobile app testing programs; the engines cover web, API and sockets, not native iOS or Android
- High-frequency CI pipelines on the free tier, where 30 reports/month is the hard ceiling
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Skip Artillery if you need a point-and-click test builder or mobile app testing — it is YAML and JavaScript only, with engines limited to HTTP, Playwright, Socket.IO and WebSocket.
Distributed load tests run on serverless infrastructure in your own AWS or Azure account, so you pay the cloud provider on top of the Artillery subscription.
The $199/mo Team plan puts Artillery in the same bracket as k6 and Locust-based managed offerings, but it is the only one of the three that bundles Playwright browser load testing with Playwright E2E reporting in a single seat count. Business at $499/mo is where larger QA orgs go for unlimited seats, unlimited workers and 18-month retention. Add $1,199/mo for Enterprise add-ons if you need SSO, SCIM or audit logs. Annual billing saves 20%.
In short
Artillery — CLI-first load testing, Playwright-native browser testing, and synthetic monitoring for teams that write their tests in YAML or JavaScript. Best for SREs and DevOps engineers running distributed load tests on their own AWS or Azure accounts, QA teams with large Playwright E2E suites that need sharding and parallelization, Developers who want one subscription covering API load testing, browser load testing, and E2E reporting. Free to start; paid plans from $199/mo.
What's new in Artillery
Checked todayAcross the latest 4 updates: 2 feature updates and 2 changelog entries.
Artillery CLI v2.0.34
Adds the artillery ping command for a DNS/TCP/TLS/TTFB/download breakdown of any URL, full ESM support including top-level await, TypeScript types covering the whole test script, and --aws-tags for tagging Fargate, Lambda and SQS resources. Playwright upgraded to v1.62.1.
Self-service SSO and SCIM onboarding in Artillery Cloud
Enterprise organization administrators can now start SSO and SCIM onboarding themselves from Artillery Cloud via Settings → SSO, submitting identity-provider configuration and provisioning requirements without vendor involvement.
Artillery CLI v2.0.33
Upgrades Artillery to Playwright v1.61.0 and replaces Falso with Faker.js in the fake-data plugin.
Artillery CLI v2.0.32
Upgrades to Playwright v1.60.0 and fixes http.timeout being silently capped at 8 seconds, which caused requests to slow origins to fail with ERR_SOCKET_TIMEOUT regardless of the configured timeout.
What people actually say about Artillery — is it worth it?
We scanned public community sources for Artillery on Jul 6, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Artillery? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Load testing for HTTP APIs, GraphQL services, Socket.IO and WebSocket apps
- Playwright-native browser load testing that reuses existing Playwright tests
- Turbo Runner (beta) shards and parallelizes large Playwright suites for faster runs
- Distributed load testing on your own AWS (Lambda, ECS/Fargate) or Azure (Container Instances)
- Scale to millions of virtual users with built-in cost reporting
- Web Vitals (LCP, CLS, INP) tracked automatically on every page
- Central dashboard with traces, screenshots, and attachments per test report
- GitHub Actions integration with PR comments and branch-linked reports
- Alerts via email, Slack, or PagerDuty
- Synthetic checks and monitoring from 12 regions (US, EU, APAC) — marked coming soon
- artillery ping command for DNS/TCP/TLS/TTFB/download timing of any URL (CLI v2.0.34)
- Full ESM support including top-level await in processors, plugins, engines and reporters (CLI v2.0.34)
- TypeScript type definitions modeling the full test script, arrival phases and processor hooks (CLI v2.0.34)
- --aws-tags to tag Fargate tasks, Lambda functions and SQS queues for cost attribution (CLI v2.0.34)
- W3C Trace Context propagation to correlate test load with backend traces (CLI v2.0.31)
About Artillery
Artillery is a performance and reliability testing toolkit delivered primarily as a command-line tool, with a paid cloud dashboard layered on top. You write load tests in YAML or JavaScript and point them at HTTP APIs, GraphQL services, Socket.IO apps, or WebSocket endpoints; the HTTP, Playwright, Socket.IO and WebSocket engines are built in. The standout capability is Playwright reuse: if you already have Playwright E2E tests, Artillery runs them as browser-based load tests instead of making you rewrite them, and the Turbo Runner (beta) shards and parallelizes large Playwright suites across Artillery's cloud runners or your own AWS or Azure infrastructure, which the vendor claims runs them roughly 10x faster. Distributed load testing runs on serverless infrastructure in an AWS or Azure account you own (Lambda, ECS/Fargate, Azure Container Instances), with built-in cost reporting and, as of CLI v2.0.34, --aws-tags for tagging Fargate tasks, Lambda functions and SQS queues for cost attribution. Reporting is centralized: every report lands in one dashboard with traces, screenshots and attachments, Web Vitals (LCP, CLS, INP) are tracked automatically on each page, and reports link back to GitHub PRs and branches through the GitHub Actions integration. Artillery is aimed at developers, QA engineers and SREs who are comfortable owning test definitions in code and who want scripting-level control rather than a point-and-click builder. The maintainers treat coding agents as a first-class audience, publishing prompts for AI agents and framing test scripts as something agents already know how to write and analyze. Both load testing and E2E testing are included in every Cloud subscription, so teams doing both do not buy two products. Cloud pricing runs Free $0, Team $199/mo, Business $499/mo, and Enterprise add-ons starting at $1,199/mo. Synthetic checks and production monitoring are still marked as coming soon.
Behind the Verdict
Artillery's pitch is narrower and more honest than most load-testing marketing: it is a CLI, and the cloud product is mostly about reporting, collaboration and managed runners rather than about generating traffic. The consequence is that the free tier and the paid tiers are the same tool — you are paying for reports, retention, seat count and worker concurrency, not for the ability to run a test. The genuine differentiator is Playwright. Rather than maintaining a separate set of browser-load scripts, you point Artillery at the Playwright tests you already run in CI, and the same code becomes your load generator. That matters most for QA orgs with large suites that have grown slow: Turbo Runner shards and parallelizes them, and the vendor's claim is roughly 10x faster execution. Treat that number as a vendor claim rather than a benchmark. Where Artillery earns its keep: distributed tests that run inside your own AWS account (Lambda, ECS/Fargate) or Azure Container Instances, so load originates from serverless infrastructure you control rather than the vendor's shared fleet; built-in cost reporting per run; and --aws-tags so you can attribute spend to a team or cost center. Out-of-the-box integrations for GitHub Actions, GitLab, Jenkins, Azure DevOps, CircleCI, AWS CodeBuild, Datadog, New Relic, Splunk, Honeycomb, Grafana, InfluxDB, StatsD and OpenTelemetry cover the CI/CD and observability ends. W3C Trace Context propagation (config.http.distributedTracing) lets test load show up in backend traces alongside real traffic. Where it does not fit: teams that want a no-code or point-and-click test builder will not find one — tests are YAML and JavaScript. Mobile app testing is out of scope; the engines are HTTP, Playwright, Socket.IO and WebSocket. The free tier is a proof-of-concept allowance, not production capacity. Enterprise SSO (OIDC & SAML), audit logs, custom MSA and support SLAs sit behind Enterprise add-ons starting at $1,199/mo, so security-conscious organizations that need SSO cannot stay on Team or Business. Distributed load testing consumes billable AWS or Azure resources in your own account on top of the Cloud subscription. Synthetic checks and production monitoring are still marked 'coming soon', and Turbo Runner is in beta. The maintainers lean into coding agents as users, shipping prompts for AI agents — a positioning choice that fits a YAML/JS tool well, since an agent can author and analyze a test script more reliably than it can operate a GUI. If your stack is Playwright plus GitHub Actions plus Datadog, the fit is tight. If your stack is a GUI test recorder and a SaaS-only monitoring vendor, Artillery is a rewrite.
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Real-world workflow fit
Concrete scenarios for the personas Artillery actually fits — and what changes day-one when you adopt it.
Point Turbo Runner at the existing Playwright E2E suite, sharding it across Artillery's cloud runners, and read the results in the central dashboard with traces and screenshots attached to each failure.
Outcome: Suite execution time drops without rewriting any tests, and every failure arrives with the trace, screenshot and attachments a developer needs to fix it.
Write a YAML load test against the production API, run it distributed on Lambda in the team's own AWS account, and watch error rate, latency and per-run AWS cost in one report.
Outcome: You know the API's breaking point before launch, and you can attribute the test's AWS spend to a team using --aws-tags.
Add the GitHub Actions integration so every PR runs a load test, with results posted as a PR comment and linked back to the branch.
Outcome: Performance regressions surface in review rather than in production, and each report links back to the commit that caused it.
Use Cases
- Run a distributed load test against your production API from multiple regions to validate scalability before a launch.
- Reuse existing Playwright E2E tests as load tests to simulate thousands of concurrent users performing real browser interactions.
- Monitor key user journeys continuously with synthetic checks in CI or on a cron schedule, with alerts to Slack or PagerDuty.
- Run load tests automatically on every pull request via GitHub Actions and post results as PR comments.
- Propagate W3C Trace Context from Artillery tests into backend traces so you can correlate test load with server spans in Datadog.
- Use the Stash API to pull test reports programmatically and embed performance dashboards in internal tools.
- Shard a large Playwright E2E suite with Turbo Runner to cut execution time across cloud runners.
- Set up fake-data-driven scenarios with the Faker.js-backed plugin to generate realistic request payloads.
Limitations
- The free tier is a proof-of-concept allowance: 30 reports/month, 2 team members, up to 5 workers per distributed test, 30-minute maximum test duration, and 25 test cases per E2E report, with 1-month data retention.
- Distributed load testing runs on your own AWS or Azure account using pay-as-you-go serverless infrastructure, so cloud costs are billed separately from the Artillery Cloud subscription.
- Test volume is counted per report sent to Artillery Cloud — the limit includes reports from tests stopped early and reports that are deleted.
- Exceeding limits continuously can degrade service and place your account in read-only mode.
- Annual subscriptions save 20% versus monthly.
- Enterprise SSO (OIDC & SAML), SCIM provisioning, audit logs, custom MSA and support SLAs start at $1,199/mo, and BYOC deployment to an AWS account you own is available on request.
- Synthetic checks and production monitoring are still marked 'coming soon', and Turbo Runner is in beta.
as of 2026-10-09
Verification history
We have re-verified Artillery 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Artillery tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A single developer or pair validating that Artillery fits their stack before committing budget — proof-of-concept load tests and small Playwright suites.
What this tier adds
Starting tier: 30 reports/month, 2 team members, 5 workers per distributed test, 30-minute test cap, 25 E2E cases per report, 1-month retention.
Team
$199/mo
Ideal for
A small QA or platform team running regular load and E2E tests in CI, with up to 8 people who all need dashboard access.
What this tier adds
Raises the ceiling to 1,000 reports/month, 8 team members, 25 workers per distributed test, 2-hour tests, 50 E2E cases per report, and adds custom charts, performance trends and force early stop.
Business
$499/mo
Ideal for
A larger engineering organization running continuous performance testing across many squads, where seat limits and worker caps are the blocker.
What this tier adds
Removes limits: no cap on team members, distributed test workers, test duration or E2E test cases per report, plus 2,500 reports/month, 18-month retention and spend & volume controls.
Enterprise add-ons
$1,199/mo
Ideal for
Regulated enterprises that need SSO, provisioning automation, audit trails and contractual support, or that must keep data in their own AWS account.
What this tier adds
Adds Enterprise SSO (OIDC & SAML) with self-service setup, SCIM onboarding, audit logs, custom MSA and support SLAs, plus managed BYOC deployment to an AWS account you own.
Where the pricing makes sense
The company stage and team size where Artillery's pricing actually pencils out — and where peers do it cheaper.
The $199/mo Team plan puts Artillery in the same bracket as k6 and Locust-based managed offerings, but it is the only one of the three that bundles Playwright browser load testing with Playwright E2E reporting in a single seat count. Business at $499/mo is where larger QA orgs go for unlimited seats, unlimited workers and 18-month retention. Add $1,199/mo for Enterprise add-ons if you need SSO, SCIM or audit logs. Annual billing saves 20%.
Setup time & first value
How long it actually takes to get something useful out of Artillery — broken out by persona, not the marketing-page minute.
Individual developer: minutes — install the CLI, write a YAML test, run it locally, and sign up with a GitHub account at app.artillery.io to start sending reports. CI integration: under an hour with the GitHub Actions or GitLab CI/CD guide. Distributed AWS or Azure execution and BYOC deployment: allow days, since you are provisioning serverless infrastructure and IAM in your own cloud account.
Switching to or from Artillery
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From k6: port your k6 scenarios into Artillery YAML or JS, then reuse any Playwright tests you already maintain for browser-based load.
- →From Locust: replace Python task definitions with Artillery scenarios; the HTTP, Socket.IO and WebSocket engines cover the common protocols.
- →From a GUI load-testing SaaS: rewrite recorded scripts as YAML test definitions, gaining version control and PR review on the tests themselves.
- →From raw Playwright in CI: add Artillery as a reporter and runner so existing tests gain Web Vitals tracking, traces and a central dashboard.
- ↗To k6: rewrite Artillery YAML scenarios as k6 JS scripts if you need a different load-generation engine and do not need Playwright reuse.
- ↗To Locust: port scenarios to Python task sets when your team prefers Python-defined load models.
- ↗To Playwright Test alone: if you only need E2E execution and not load generation or a hosted dashboard, drop the Artillery layer.
- ↗To a GUI testing platform: if your team needs a point-and-click recorder, expect to re-record journeys outside Artillery.
Integrations
Resources & Guides
- Documentationartillery.io
Docs · Artillery
Full product docs from artillery.io
- API Referenceartillery.io
Playwright · Artillery
Methods, params, types from artillery.io
- API Referenceartillery.io
Cli · Artillery
Methods, params, types from artillery.io
- Resourceartillery.io
Changelog · Artillery
Helpful link from artillery.io
- Resourcegithub.com
Releases · Artillery
Helpful link from github.com
Tutorials & Learning
YouTube returned 6 videos for “Artillery”, and we withheld 6: 6 could not be judged, because “Artillery” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Artillery.
Official links
Tools that pair well with Artillery
Common stack mates teams adopt alongside Artillery, with the specific reason each pairing earns its keep.
Stagehand
Open-source SDK for building browser agents with AI primitives (Act, Extract, Observe, Agent) plus Playwright-style controls in TypeScript, Python, and Go.
TestDino
Playwright cloud companion that records CI runs, detects flaky tests, and serves failure context to humans and AI agents over MCP.
Datadog
Datadog is an integrated cloud monitoring and security platform for infrastructure, applications, logs, and AI workloads.
Featured Head-to-Head Comparisons
Artillery vs Spider Cloud
Choose Artillery if you need a unified load testing, E2E, and synthetic monitoring platform for web apps and APIs — ideal for SREs and QA teams requiring serverless scaling and CI/CD integration. Pick Spider Cloud if your priority is fast, low-cost web crawling/scraping for AI agents or RAG pipelines, with recent Browser AI commands adding interactive automation. They solve fundamentally different problems, so your decision hinges on whether you're testing performance or extracting data.
Artillery vs Voyage Ai
Voyage AI and Artillery solve entirely different problems: Voyage AI is a specialized embedding and reranker service for RAG pipelines, while Artillery is a comprehensive testing platform for load, E2E, and synthetic monitoring. Your choice depends on whether your primary need is improving retrieval accuracy in enterprise applications or ensuring application performance and reliability.
Artillery vs Temporal Ai
Choose Temporal.ai if you need bulletproof orchestration for AI agents or microservices that must survive failures without losing state. Choose Artillery if your priority is performance testing, synthetic monitoring, and CI/CD-integrated load testing—especially for browser-based scenarios with Playwright. They solve different problems; the decision is about reliability vs. performance verification.
Alternatives to Artillery
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Open-source SDK for building browser agents with AI primitives (Act, Extract, Observe, Agent) plus Playwright-style controls in TypeScript, Python, and Go.
Frequently Asked Questions
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