Sentry
Sentry connects errors, logs, traces, replays, and profiles on one trace so developers can debug from issue to fix faster.
For debugging actual code, Sentry remains the tool we reach for first. Seer iterating on its own pull requests and Agent Tracing hitting GA in September 2026 make the AI debugging story more complete than a year ago. Price two things before committing: Seer is a separate subscription on Team and Business, and event overages bite on high-volume apps.
Verified 21h ago · liveness 82/100 · cite: rightaichoice.com/tools/sentry
- Full-stack developers who need errors, logs, and traces correlated on one trace
- Mobile teams on iOS and Android wanting crash analytics plus session replay
- AI agent builders tracing model calls, tool executions, handoffs, and spend
- Startups consolidating observability onto the free Developer plan
- Teams whose main need is infrastructure, host, or cloud-cost monitoring
- Buyers who expect AI debugging included — Seer is a separate subscription on Team and Business
- Organizations requiring air-gapped deployment
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Skip Sentry if your core pain is infrastructure, host-level CPU/memory telemetry, or cloud cost, or if you need Seer's AI debugging included rather than as a separate subscription on top of Team or Business.
Included log and metric volume is 5GB per month — beyond that you pay $0.50/GB, which bites quickly on verbose debug logging.
The one-user Developer tier is free and genuinely usable, putting Sentry well under Datadog or New Relic for a solo dev or a small team testing observability. Team at $26/mo billed annually and Business at $80/mo billed annually land mid-market — cheaper than full-stack APM suites, more expensive than a bare error tracker like Rollbar once you add Seer's subscription and per-event overages.
In short
Sentry — Sentry connects errors, logs, traces, replays, and profiles on one trace so developers can debug from issue to fix faster. Best for Full-stack developers who need errors, logs, and traces correlated on one trace, Mobile teams on iOS and Android wanting crash analytics plus session replay, AI agent builders tracing model calls, tool executions, handoffs, and spend. Free to start; paid plans from $26/mo.
What's new in Sentry
Checked yesterdayAcross the latest 5 updates: 4 feature updates and 1 launch.
Seer Agent now manages more of Sentry for you and connects to external telemetry
Seer Agent expanded its project management scope and can now integrate third-party data sources, including Datadog and Google Cloud Platform, to help diagnose issues.
One alert to rule them all. And every project you add later.
A single alert can be triggered by an issue in any of your projects, including all new and future projects added later.
JavaScript SDK v11
JavaScript SDK v11 ships with better OpenTelemetry compatibility and more complete instrumentation for Cloudflare, Bun, and Deno; spans stream by default and sendDefaultPii is replaced by granular data collection options.
Seer now iterates on the pull requests it opens
Seer can push follow-up commits to a pull request it opened, fixing failing CI checks on its own and acting on feedback from reviewers and review bots.
Agent Tracing is now GA
Agent Tracing reached general availability — trace every model call, tool execution, and handoff inside your existing traces, and read the full user-agent exchange in Conversations.
What people actually say about Sentry — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
109 mentions across 8 sources (Reddit, Hacker News, YouTube, Product Hunt, App Store, Stack Overflow, GitHub, Lemmy) · researched Aug 5, 2026.
Average across the 8 sources that answered — each source counts once, not each post.
- +Industry standard for error tracking with broad language and framework support.
- +Detailed stack traces and context (breadcrumbs, user, release) accelerate debugging.
- +Deep integrations with GitHub, Slack, Jira, and Linear streamline workflows.
- +Session replay and performance tracing provide end-to-end visibility.
- +AI-powered features like Autofix and Seer show future potential for automated debugging.
- −Pricing scales with event volume and can get very expensive for high-traffic apps.
- −Some users report sluggish UI, especially when navigating large issue lists.
- −Self-hosting is complex and requires significant time and resources.
- −Alerting can be noisy without fine-tuning, leading to alert fatigue.
- −Advanced features like tracing and session replay have steep learning curves.
- • Overage charges for errors beyond the plan's quota can be expensive
- • Performance monitoring and session replay may require separate paid plans
- • Self-hosting incurs infrastructure and maintenance costs
In users’ own words
“I'm looking to implement an error reporting system for our web app but have a requirement that no data be sent outside of the UK. We could use Sentry On-Premise but I'm wondering if there are any UK hosted alternatives to Sentry that we could use...bit of a long shot but would save the hassle of running Sentry ourselves.”
“I am using [Sentry.io](https://Sentry.io) and would like to utilize Harpa AI to inspect the Sentry replays for errors, summarize them, and analyze them. What is the most effective way to achieve this? While I could always utilize the prompt "/ask", I sense that there might be a more efficient and elegant approach.”
Real posts from independent users, linked to the source — not testimonials we collected.
Viability Score
How well maintained and how widely used is Sentry? 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
- Error monitoring with stack traces and real-time alerts
- Distributed tracing with spans correlated across services
- Session replay with video-like playback of user sessions
- Seer AI debugger for root cause analysis and fix generation
- Seer iterates on its own pull requests to fix failing CI checks
- AI Code Review checks PRs against error and performance history
- Agent Tracing (GA September 2026) for model calls, tool executions, and handoffs
- Conversations view for reading full user-agent exchanges
- Logs with JSONL/CSV export and pinning
- Application metrics and custom business monitoring
- Continuous profiling and UI profiling for production code
- Cron monitoring for scheduled jobs
- Uptime monitoring for endpoint availability
- Size Analysis for build and bundle monitoring
- Sentry MCP server brings error context into LLMs and coding agents
About Sentry
Sentry is application monitoring software aimed at developers who need to connect a code-level failure to the context that caused it. Errors, logs, replays, spans, profiles, and metrics hang off the same trace, so the route from Issue to Context to Fix never leaves the product. Setup is a few SDK lines or a single wizard command — `npx @sentry/wizard@latest -i nextjs` for Next.js, or a brew install of the Sentry wizard for Android and iOS — with no agents to install. The platform spans error monitoring, distributed tracing, session replay, application metrics, continuous and UI profiling, cron and uptime monitoring, size analysis, and agent tracing. Seer is the AI debugger: it reads logs, commits, traces, and stack traces to explain why code failed and generate merge-ready patches, and per the September 2026 changelog it can now iterate on pull requests it opened, pushing follow-up commits to fix failing CI. AI Code Review checks PRs against real error and performance history before they ship. Agent Tracing went GA in September 2026, letting AI builders trace every model call, tool execution, and handoff, with a Conversations view for reading the full user-agent exchange. The 2026-09-24 release also lets a single alert fire from issues in any project, including ones added later. Pricing starts at a real free Developer tier (one user, 5k errors, 5GB logs, 5M spans, 50 replays, 10 dashboards, MCP access). Team runs $26/mo and Business $80/mo when billed annually with default pre-paid data; Seer is a separate subscription on both. Datadog splits infrastructure metrics away from code-level debugging — Sentry stays code-centric. Teams whose pain is cloud cost or deep host telemetry should look elsewhere.
Behind the Verdict
Pick Sentry when the question you're trying to answer is "why did this code fail" rather than "why is this host hot." A stack trace with the surrounding logs, the replay of the failing session, and the span timing on the same trace is the whole pitch, and it holds up in practice. Setup really is five lines; we've had teams instrumenting a Next.js app before a standup ended. The AI layer is the part that changed most. Seer now pushes follow-up commits to pull requests it opened, fixing failing CI checks and reacting to reviewer feedback on its own. That turns it from a suggestion engine into something closer to a junior engineer that closes the loop. AI Code Review, which checks PRs against your actual error and performance history, is worth trying on a team that ships several times a day. AI-agent builders got a real addition in September 2026: Agent Tracing went GA, so model calls, tool executions, and handoffs live on the same trace as your web errors, and Conversations lets you read the full user-agent exchange. If you're debugging why an agent made a bad tool call, that context is the point. Where it bites: Seer is a separate subscription on Team and Business, so the advertised $26 and $80 are the floor, not the bill. Event, log, and span overages accumulate quietly on high-traffic apps, and the free Developer plan caps at one user and 5k errors — fine for a side project, not for a growing team. Our closest-alternative test is Datadog. Datadog is stronger on infrastructure and host metrics and has the broader platform story; Sentry is sharper at correlating a specific exception to code. Teams living in dashboards about CPU and cloud spend will find Sentry thin. Teams living in stack traces will find Datadog noisy. If deploying air-gapped is a hard requirement,
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Real-world workflow fit
Concrete scenarios for the personas Sentry actually fits — and what changes day-one when you adopt it.
Install with `npx @sentry/wizard@latest -i nextjs`, ship to production on the free Developer plan, and use Explore → Errors to search and aggregate the first real stack traces that come in.
Outcome: Error search and stack traces from day one at $0/mo, with the one-user limit fine until you bring on a collaborator.
Instrument model calls and tool executions with Agent Tracing (GA September 2026), then read full user-agent exchanges in Conversations when an agent starts emitting bad tool calls.
Outcome: Agent spend, latency, and failure context sit on the same trace as your application errors instead of in a separate dashboard.
Move from the free Developer tier to Team at $26/mo billed annually for unlimited users, wire GitHub and Slack, and turn on AI Code Review so PRs are checked against real error and performance history.
Outcome: Regressions get caught before merge, and the whole team sees issues where they already work.
Use Cases
- Debug production errors with full stack traces and release, PR, and owner context
- Identify slow API calls and N+1 database queries via distributed tracing
- Replay user sessions to see exactly what led to a bug
- Generate merge-ready fixes for common coding errors with Autofix
- Catch regressions before deploy by reviewing PRs against production error history
- Monitor AI agent model calls, tool executions, handoffs, and spend
- Pull Datadog or Google Cloud Platform telemetry into Seer for third-party issue diagnosis
- Search and aggregate errors on the free Developer plan with Explore → Errors
Models Under the Hood
as of 2026-10-16
Limitations
- The free Developer plan is limited to one user and includes error monitoring and tracing, email alerts, 10 custom dashboards, and MCP access.
- Team pricing starts at $26/mo when billed annually with default pre-paid data.
- The live evidence does not publish exact ingestion allowances, overage rates, or retention windows for each tier.
as of 2026-09-29
Verification history
We have re-verified Sentry 17 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 17 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 Sentry tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Developer
$0/mo
Ideal for
Solo dev on a small project who needs real error search and stack traces without paying — one user only.
What this tier adds
Free entry point: 5k errors, 5M spans, 5GB logs, 50 replays, 10 dashboards, MCP access, and Explore → Errors search.
Team
$26/mo
Ideal for
A small engineering team ready to add collaborators and wire Sentry into GitHub, Slack, or Jira.
What this tier adds
Adds unlimited users, API and third-party integrations, 50k errors, and 20 dashboards over the free Developer tier; Seer requires an extra subscription.
Business
$80/mo
Ideal for
Security-conscious teams that need SSO and larger metric-monitoring capacity.
What this tier adds
Adds unlimited dashboards, advanced quota management, SAML + SCIM, anomaly detection, 1,000 metric monitors, and up to 90-day lookback over Team.
Enterprise
Custom
Ideal for
Large organizations with custom volume, retention, or support requirements.
What this tier adds
Adds a technical account manager, a dedicated support contact, and custom quotas and retention on top of Business.
Where the pricing makes sense
The company stage and team size where Sentry's pricing actually pencils out — and where peers do it cheaper.
The one-user Developer tier is free and genuinely usable, putting Sentry well under Datadog or New Relic for a solo dev or a small team testing observability. Team at $26/mo billed annually and Business at $80/mo billed annually land mid-market — cheaper than full-stack APM suites, more expensive than a bare error tracker like Rollbar once you add Seer's subscription and per-event overages.
Setup time & first value
How long it actually takes to get something useful out of Sentry — broken out by persona, not the marketing-page minute.
Solo dev on a supported framework: under 10 minutes to first event with the wizard command. Mid-size team: an hour or two to instrument services and connect GitHub and Slack. Enterprise on Business: allow a day or two for SAML/SCIM, ownership rules, and quota configuration.
Switching to or from Sentry
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Rollbar: map existing projects to Sentry projects, install the SDK in place of the Rollbar agent, and use Explore → Errors to rebuild saved searches.
- →From Bugsnag: swap the SDK, reconnect GitHub and Slack, and re-create alert rules — Sentry's issue ownership rules replace Bugsnag's error grouping workflows.
- →From Datadog APM: keep Datadog for infrastructure and route application errors and traces to Sentry; Seer can now pull Datadog as an external data source.
- →From New Relic: replace the language agent with the Sentry SDK, then rebuild dashboards — Sentry's 10-to-unlimited custom dashboards cover the same territory.
- →From a homegrown logger: install the SDK, enable logs, and use the JSONL/CSV export path to compare against your existing log pipeline before cutting over.
- ↗To Datadog: if infrastructure and cloud-cost telemetry become the priority, export Sentry issues via API and rebuild trace correlation inside Datadog APM.
- ↗To Grafana Stack: export logs via JSONL/CSV, re-instrument with OpenTelemetry, and move dashboards to Grafana — Sentry's JS SDK v11 already improves OTel compatibility.
- ↗To Rollbar: for a leaner error-only stack, export issue data via the Sentry API and re-create alert rules in Rollbar.
- ↗To self-hosted Sentry: the open-source distribution lets you run the same product on your own infrastructure if SaaS isn't acceptable.
Integrations
Resources & Guides
- Documentationsentry.io
Docs · Sentry
Full product docs from sentry.io
- Resourcesentry.io
Changelog · Sentry
Helpful link from sentry.io
- Resourcesentry.io
Resources · Sentry
Helpful link from sentry.io
- Resourcesentry.io
Cookbook · Sentry
Helpful link from sentry.io
- Resourcesentry.io
Help · Sentry
Helpful link from sentry.io
Tutorials & Learning
YouTube returned 6 videos for “Sentry”, and we withheld 5: 5 could not be judged, because “Sentry” is a single word that other videos use for other things. Showing the 1 we can prove is about Sentry.
Official links
Tools that pair well with Sentry
Common stack mates teams adopt alongside Sentry, with the specific reason each pairing earns its keep.
Chrome DevTools MCP
Open-source MCP server that gives coding agents live Chrome DevTools for debugging, traces, and browser automation.
Sazabi
Sazabi is AI-native observability: conversational debugging, autonomous alerts, and coding agents that open fix PRs.
Bito
Bito Governor is an AI model router with a code context engine that cuts coding-agent spend by 40-70%.
Featured Head-to-Head Comparisons
Sentry vs Temporal Ai
These are not substitutes, so there is no either/or decision here. If your pain is "something broke in production and I need errors, traces, logs, replay, and an AI agent to explain and patch it," buy Sentry. If your pain is "my multi-step agent or business process dies when a worker crashes and I need it to resume exactly where it stopped," buy Temporal. The overlap is small: both now speak to AI agent builders — Sentry observes agent conversations, tool calls, and spend via Agent Tracing, while Temporal makes those agent executions durable. Mature AI teams often run both, not one instead of the other. Budget-wise, treat them as separate line items, and watch Sentry's per-event/per-GB overage if you are high-volume.
Sentry vs Audioeye
These are not competitors — buying one says nothing about the other. Sentry is for the engineering team that needs to see why production broke; AudioEye is for the compliance/legal/marketing function that needs a site to pass WCAG and survive an ADA claim. If you have a developer-facing product and a public website, you may end up paying both vendors, but you will never migrate from one to the other. Shortlist Sentry when the symptom is 'we can't debug production'; shortlist AudioEye when the symptom is 'we received a demand letter or need a VPAT.'
Sentry vs Push Security
These two don't compete for the same budget, so there's no either/or decision here. Buy Push Security if you're a security or identity team watching AiTM phishing, ClickFix, device-code phishing, and ghost logins bypass your email gateway and SSO — and you want shadow AI prompt/upload/clipboard control via a browser extension rather than an endpoint agent or browser migration. Buy Sentry if you're a developer or platform team that needs errors, logs, traces, replays, and profiles correlated on one trace, with Seer debugging and Autofix patches on top. Many organizations will end up paying for both, out of different budgets, for different teams.
Alternatives to Sentry
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Chrome DevTools MCP
Open-source MCP server that gives coding agents live Chrome DevTools for debugging, traces, and browser automation.
Frequently Asked Questions
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