Know your app is broken before your users tell you
Sentry is the standard error monitoring tool for Indian engineering teams — install it in 30 minutes, get instant visibility into every unhandled exception, crash, and performance regression in your production application. The free tier (5,000 errors/month) is sufficient for most early-stage Indian apps. Sentry earns its paid tier when you need higher error volumes, performance monitoring (tracking API response times and slow database queries), and session replays — video recordings of exactly what the user did before the crash. For product managers, Sentry bridges the gap between analytics drop-offs and the specific technical errors causing them.
Sentry is an application monitoring platform founded in 2012 in San Francisco, originally built as an open-source Python error logger. It has grown into a full-stack observability tool covering error monitoring, performance tracking, session replay, and profiling — available as a cloud service and self-hosted open-source. 4+ million developers globally use Sentry, and it is deeply embedded in the Indian startup engineering stack.
The core value: Sentry captures unhandled exceptions and crashes automatically, providing the exact stack trace, the user's environment (device, OS, app version), the breadcrumbs (every action they took before the crash), and the frequency of occurrence — without engineers needing to reproduce the bug. A support ticket that says "my app crashed during payment" arrives in Sentry as the exact line of code that failed, the API response that triggered it, and confirmation that 847 other users hit the same issue in the last 24 hours.
For Indian product managers, Sentry connects the "what" of analytics (users are dropping at the payment step) to the "why" of engineering (3% of Android users on OS 11 hit a NullPointerException in PaymentService when the Razorpay callback returns a null merchant ID). That specificity is what turns a vague user experience problem into an actionable bug fix with a priority and an owner.
Captures every unhandled exception with full stack trace, user context, device info, and breadcrumbs. Groups similar errors automatically — instead of 10,000 individual events, you see "NullPointerException in PaymentService: 847 users affected." Engineers fix what matters most, not what arrived first.
Track API response times, database query durations, and frontend page load performance. Distributed tracing follows a request from frontend through API to database and third-party services. For Indian fintech teams, catching a slow Aadhaar OTP API before it affects 100K users is the difference between a planned fix and a P0 incident.
Video replay of exactly what the user did in the browser before an error — mouse movements, clicks, scrolls, network requests. When a user says "the app just stopped working during KYC," session replay shows the exact sequence and the error that triggered it. Cuts support investigation time from hours to minutes.
Links errors to the exact commit that introduced them — "this error first appeared after commit abc123 was deployed at 3:42 PM." Enables "suspect commits": Sentry identifies the likely cause without manual investigation. For Indian teams deploying multiple times per day, this tracing is invaluable for rapid root cause analysis.
Ask your engineering team for a read-only Sentry account. You don't need to understand the code — look at three things:
Error frequency by feature: Filter errors by the URL or page your feature lives on. A 20% error rate on /payment/confirm that didn't exist last week means something broke in the last deployment.
Affected user count: Sentry shows how many unique users hit each error. "127 users affected by checkout crash" is a business conversation, not just a technical one — it should immediately reprioritise what engineering works on next.
Error spikes after releases: Check Sentry immediately after every production deployment. A spike in new errors within 30 minutes of a deploy is a leading indicator — catch it before user complaints arrive.
Sentry charges per error event volume. USD billing — 18% GST reverse charge for Indian companies. Self-hosted open-source is free on your own infrastructure.
5,000 errors/month, 10K performance transactions, 50 session replays. Sufficient for Indian seed-stage apps. Most teams with under 50K MAU and low error rates stay free for 12+ months. The error quota resets monthly — manage it with alert volume rules.
$26/month base, then pay-as-you-scale for higher volumes. 50K errors, 100K performance transactions, 500 session replays. Most Indian Series A startups land here. At 500K errors/month, Team plan costs approximately Rs 8,000–12,000 depending on your configuration.
$80/month base. Custom retention, advanced permissions, SSO, custom dashboards. For Indian startups with 10+ engineers where Sentry becomes core infrastructure — multiple projects, granular permissions, compliance-grade data retention.
Self-hosting option: Sentry is fully open-source and can be self-hosted on your own servers. For Indian teams with data sovereignty requirements — regulated fintech, healthtech — self-hosting on AWS Mumbai (ap-south-1) eliminates the USD billing issue and keeps error data within India. Engineering cost to maintain self-hosted Sentry is approximately 2–4 hours per week.
Full observability platform — APM, infrastructure monitoring, logs, and error tracking. 5–10x more expensive but replaces multiple tools. Best for Indian Series B+ teams with complex distributed architectures.
Focused mobile error monitoring — excellent Android and iOS crash reporting. Better mobile-specific features than Sentry. Good alternative if mobile crashes are your primary concern.
Free mobile crash reporting from Google. Good for Android/iOS with no web support. Best as a free entry point for Indian mobile apps before adopting Sentry's fuller platform.
We help Indian engineering teams set up Sentry with the right alerting, user context, and review rituals to reduce production errors sustainably.
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