Sentry
Sentry unifies error monitoring, tracing, logs, and session replay for faster debugging.
Sentry remains the go-to for code-level debugging. The AI features—Seer and Autofix—genuinely cut time-to-fix, and the recent addition of Explore→Errors to free plans opens up serious search power without spending a cent. Watch out for overage costs on high-volume event ingestion, and skip it if you need deep infrastructure monitoring. For developers, it beats Rollbar and Bugsnag on breadth, and it undercuts Datadog for dev-focused observability.
Verified 4d ago · liveness 82/100 · cite: rightaichoice.com/tools/sentry
- Full-stack developers needing unified error, log, and trace correlation
- Mobile app teams on iOS/Android wanting crash analytics with session replay
- AI agent builders needing to monitor and debug agent conversations
- Startups consolidating observability with a generous free tier
- Teams needing deep infrastructure/cloud cost monitoring
- High-volume event ingestion on a tight budget—overages can be expensive
- Simple hobby projects exceeding the free tier's quotas
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Skip Sentry if you need deep infrastructure monitoring (CPU, memory, cloud cost) or if your event volume exceeds free quotas and overage costs are a concern—consider Datadog or a simpler error tracker instead.
Overage charges apply beyond free quotas: additional logs cost $0.50/GB, uptime alerts $1.00 each, cron monitors $0.78 each, and profiling $0.25/hr (UI) or $0.0315/hr (continuous).
Sentry's free tier (5k errors, 5M spans, 5GB logs) is more generous than Rollbar or Bugsnag for small projects, but Datadog's free tier is capped at 1M events and lacks code-level features. For growing teams, Team at $26/mo undercuts Datadog's APM pricing, but high-volume users should watch overages.
In short
Sentry — Sentry unifies error monitoring, tracing, logs, and session replay for faster debugging. Best for Full-stack developers needing unified error, log, and trace correlation, Mobile app teams on iOS/Android wanting crash analytics with session replay, AI agent builders needing to monitor and debug agent conversations. Free to start; paid plans from $26/mo.
What's new in Sentry
Checked 4 days agoAcross the latest 5 updates: 3 feature updates and 2 changelog entries.
SentrySQLiteDriver is stable on Android
SentrySQLiteDriver is now stable for Android, enabling easy span creation with existing AndroidX SQLiteDriver.
AI Query Assistant UX Improvements
AI Query Assistant improved to track query generation, recover from errors, and regenerate suggestions in Explore.
Autofix Browser Notifications
Get a notification when manually triggered Autofix steps are completed.
Search and Aggregate Errors on Developer Plans
Explore → Errors is now available on Developer plans, making error search available alongside the rest of Sentry's telemetry.
Track feature flag in your iOS and macOS apps
See which feature flags were active right before an error; and which one probably caused it.
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.
- +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: September 2026
How we score →Key Features
- Error monitoring with stack traces and real-time alerts
- Performance monitoring with distributed tracing
- Session replay with video-like playback
- Seer AI debugging agent for root cause analysis
- Autofix automated code remediation
- AI Code Review for regression prevention
- Logs with JSONL/CSV export and pinning
- Metrics and custom business monitoring
- Continuous profiling for production code
- Cron monitoring for scheduled tasks
- Uptime monitoring for endpoint availability
- Size Analysis for build monitoring
- AI Conversations for agent session review
- Explore → Errors error search on Developer plan
- MCP server for coding agents
About Sentry
Sentry is an application monitoring platform that connects errors, logs, traces, replays, profiles, and metrics into a single trace, helping developers root-cause issues faster. Built primarily for full-stack and mobile developers, Sentry drops into your code with a few lines of SDK setup—no agents to install—and immediately starts surfacing production issues with stack traces and real-time alerts. It’s more than error tracking: performance tracing, session replay, and continuous profiling run alongside, so you can debug a 500, trace a slow query, replay a failed fetch, and fix the underlying code without switching tools. Over the past few months, Sentry has leaned hard into AI-assisted debugging. Seer acts as a debugging agent that analyzes logs, commits, traces, and stack traces to explain why code failed and generate merge-ready patches via Autofix. AI Code Review correlates PRs against error and performance history to catch regressions before deployment, and a new Autofix feature sends browser notifications when manual steps complete. The redesigned Conversations view under Explore→Conversations now shows every message, tool call, and model response in agent sessions, making AI agent monitoring a first-class use case. Sentry’s free Developer plan ($0, one user) includes 5k errors, 5M spans, 5GB logs, and 50 session replays, plus MCP access. The Team plan ($26/mo) adds unlimited users and API integrations, while Business ($80/mo) adds advanced quota management and anomaly detection. A recent update also brought Explore → Errors to Developer plans, so solo devs can search across telemetry without upgrading. New users get 5,000 free session replays per month for their first three months. Compared to traditional APM tools like Datadog that separate infrastructure metrics from code-level issues, Sentry keeps everything code-centric. It’s not for infrastructure-heavy teams needing deep CPU/memory monitoring—that’s Datadog or similar.
Behind the Verdict
Sentry is an application monitoring platform that connects errors, logs, traces, replays, profiles, and metrics into a single trace, helping developers root-cause issues faster. Built primarily for full-stack and mobile developers, Sentry drops into your code with a few lines of SDK setup—no agents to install—and immediately starts surfacing production issues with stack traces and real-time alerts. It’s more than error tracking: performance tracing, session replay, and continuous profiling run alongside, so you can debug a 500, trace a slow query, replay a failed fetch, and fix the underlying code without switching tools. Over the past few months, Sentry has leaned hard into AI-assisted debugging. Seer acts as a debugging agent that analyzes logs, commits, traces, and stack traces to explain why code failed and generate merge-ready patches via Autofix. AI Code Review correlates PRs against error and performance history to catch regressions before deployment, and a new Autofix feature sends browser notifications when manual steps complete. The redesigned Conversations view under Explore→Conversations now shows every message, tool call, and model response in agent sessions, making AI agent monitoring a first-class use case. Sentry’s free Developer plan ($0, one user) includes 5k errors, 5M spans, 5GB logs, and 50 session replays, plus MCP access. The Team plan ($26/mo) adds unlimited users and API integrations, while Business ($80/mo) adds advanced quota management and anomaly detection. A recent update also brought Explore → Errors to Developer plans, so solo devs can search across telemetry without upgrading. New users get 5,000 free session replays per month for their first three months. Compared to traditional APM tools like Datadog that separate infrastructure metrics from code-level issues, Sentry keeps everything code-centric. It’s not for infrastructure-heavy teams needing deep CPU/memory monitoring—that’s Datadog or similar.
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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.
You're building a side project and want to catch production errors.
Outcome: Install the SDK with one command (e.g., npx @sentry/wizard@latest -i nextjs), get stack traces and error tracking immediately on the free Developer plan, and use Explore → Errors to search across telemetry.
You need to debug a slow query impacting users.
Outcome: Use distributed tracing to see the slow SQL query, then replay the user session to see the exact steps, and fix the code directly from Sentry's context.
You're deploying an AI agent and need to monitor its conversations.
Outcome: Use Sentry's Conversations view to see every message, tool call, and model response, and set up Seer to analyze failures and generate patches.
Use Cases
- Debug production errors with full stack traces and context
- Identify slow API calls and database queries via distributed tracing
- Replay user sessions to see exactly what led to a bug
- Automatically fix common coding errors with Autofix
- Prevent regressions by reviewing code against production error history
- Monitor AI agent sessions and tool calls via Conversations
- Track feature flags in iOS/macOS apps to identify error causes
- Search and aggregate errors on Developer plans with Explore → Errors
Models Under the Hood
as of 2026-08-31
Limitations
- Sentry's free tier caps at 5k errors, 5GB logs, 5M spans, and 50 session replays, which can be limiting for growing projects.
- Overage charges apply beyond these limits (e.g., $0.50/GB additional logs).
- Seer AI debugging requires a separate subscription on Team and Business plans.
- Deep infrastructure monitoring (CPU, memory, cloud cost) is not covered; Sentry focuses on application-level code.
- SAML/SCIM support is only on the Business plan.
as of 2026-08-29
Verification history
We have re-verified Sentry 14 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 14 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 developers and hobby projects wanting free error monitoring with 5k errors and 5M spans per month.
What this tier adds
Starting free tier: one user, 10 custom dashboards, MCP access, and Explore → Errors search.
Team
$26/mo
Ideal for
Startups and small teams needing unlimited users and third-party integrations at $26/mo.
What this tier adds
Adds unlimited users, API & third-party integrations, 20 custom dashboards, and Seer AI debugging (subscription required).
Business
$80/mo
Ideal for
Growing companies wanting advanced quota management, anomaly detection, and SAML/SCIM at $80/mo.
What this tier adds
Adds unlimited dashboards, 1,000 metric monitors, anomaly detection, and SAML + SCIM support.
Enterprise
Custom
Ideal for
Large organizations needing dedicated support and a technical account manager.
What this tier adds
Adds technical account manager and dedicated customer support; custom pricing.
Where the pricing makes sense
The company stage and team size where Sentry's pricing actually pencils out — and where peers do it cheaper.
Sentry's free tier (5k errors, 5M spans, 5GB logs) is more generous than Rollbar or Bugsnag for small projects, but Datadog's free tier is capped at 1M events and lacks code-level features. For growing teams, Team at $26/mo undercuts Datadog's APM pricing, but high-volume users should watch 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: ~5 minutes to install via wizard and get first error. Team: ~15 minutes with setup for multiple services and integrations. Enterprise: ~30 minutes for custom dashboards and SAML/SCIM, plus Seer 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 Bugsnag: Use Sentry's SDK and migrate your bug reports by re-mapping error grouping and using the API to import historical issues.
- →From Rollbar: Replace Rollbar's SDK with Sentry's for your language, and use sentry-cli to upload source maps for better stack traces.
- ↗To Datadog: Use Sentry's API to export error and span data, then map to Datadog's APM and log management.
- ↗To an open-source alternative like GlitchTip: Export your projects and issues via Sentry's API and migrate dashboards manually.
Integrations
Resources & Guides
- Documentationsentry.io
Docs · Sentry
Full product docs from sentry.io
- Learnsentry.io
Learn · Sentry
Educational content from sentry.io
- Resourcesentry.io
Changelog · Sentry
Helpful link from sentry.io
- Resourcesentry.io
Blog · Sentry
Helpful link from sentry.io
- Resourcesentry.io
Help · Sentry
Helpful link from sentry.io
- API Referencesentry.io
Api · Sentry
Methods, params, types from sentry.io
- Resourcedocs.sentry.io
Home · Sentry
Helpful link from docs.sentry.io
Tutorials & Learning
Official links
Tools that pair well with Sentry
Common stack mates teams adopt alongside Sentry, with the specific reason each pairing earns its keep.
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AI model router and code context engine that cuts agent token spend by grounding requests in your codebase and routing to right-sized
Featured Head-to-Head Comparisons
Sentry vs Temporal Ai
If you need to catch and fix production errors with AI-assisted root cause analysis and auto-remediation, Sentry is the right choice. If you're building AI agents or multi-step workflows that must survive failures and maintain state across crashes, Temporal's durable execution is essential. They solve different problems—pick Sentry for observability and debugging, Temporal for resilience and orchestration.
Sentry vs Audioeye
Choose Sentry if you're a developer needing real-time error monitoring and AI-driven debugging for production code. Choose AudioEye if you're an enterprise facing accessibility lawsuits and need automated compliance scanning with human audits and VPAT documentation. They solve completely different problems — don't compare them for the same use case.
Sentry vs Push Security
If your priority is securing browser-based attacks and shadow AI usage, choose Push Security — it directly addresses AiTM phishing, AI tool data leakage, and ghost logins across all browsers. If you need to debug production errors and improve code quality, Sentry is the clear choice with Seer AI, Autofix, and session replay. These tools are complementary — they solve entirely different problems.
Alternatives to Sentry
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Frequently Asked Questions
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