DevOps & OpsSentry
Find and fix application errors before your users report them.
Sentry is an application monitoring and error tracking platform that captures exceptions, crashes, and performance regressions in real time across web, mobile, and backend applications, making it one of the most widely adopted observability tools for software engineering teams. It is used by developers and engineering leads at companies ranging from individual developers shipping side projects to large engineering organizations maintaining complex microservice architectures. The core problem Sentry addresses is the gap between when a bug is introduced and when the team learns about it: without error tracking, the first signal is often a user complaint or a spike in support tickets, both of which arrive well after the error has affected a significant number of users. Sentry's stack traces, session replay, and release tracking give engineers the context they need to reproduce and fix a bug quickly, rather than spending hours working backward from a vague user report. Features like performance monitoring and distributed tracing extend its value beyond crash detection into proactive identification of slow endpoints and database queries before they become user-facing problems.
Software engineers and engineering leads at companies with at least one production application and any meaningful user traffic, from a solo developer with their first SaaS product to a 200-person engineering organization. The right time to adopt Sentry is as soon as any application reaches real users, because waiting until a bug causes noticeable user churn means operating without information that costs very little to capture.
6 months free on the Teams plan
Subject to partner eligibility criteria. Savings estimates reflect maximum potential value.
Sentryin depth.
Real-Time Error Tracking with Stack Traces
Sentry captures every unhandled exception and surfaces it with a full stack trace, the user's environment, breadcrumbs of recent events, and frequency data. Engineers get enough context to reproduce and fix the issue without a lengthy reproduction session.
Session Replay
For front-end errors, Sentry can record a DOM replay of the user's session leading up to the error, showing exactly what the user clicked, typed, and saw before the crash. This eliminates the most time-consuming part of front-end debugging: reconstructing the sequence of events that led to the failure.
Release Tracking and Regression Detection
Sentry associates every error with the release version it first appeared in, and surfaces regressions when a previously resolved error reappears after a deploy. This makes it fast to identify which deploy introduced a bug and to decide whether to roll back or hotfix.
Performance Monitoring and Distributed Tracing
Beyond errors, Sentry tracks transaction performance across services, flagging slow database queries, N+1 patterns, and endpoint latency regressions. Engineering teams use this to catch performance regressions in CI before they reach production.
Alerting and Issue Assignment Workflows
Sentry can notify teams via Slack, PagerDuty, or email when new issues appear or error rates spike above a threshold, and can automatically assign issues to the team or person who owns the affected code. This means critical errors don't sit in a queue waiting for someone to notice them.
Sentry integrates with GitHub, GitLab, and Bitbucket for suspect commit detection and code ownership routing, and with Slack, PagerDuty, Jira, and Linear for alerting and issue management. In a standard engineering stack it sits in the observability layer alongside logging tools (like Datadog or Logtail) and infrastructure monitoring, covering the application-level error and performance signal that those tools don't capture at the code level.
Commonuse cases.
Detecting and triaging errors introduced by a new production deploy
After a deploy, Sentry's release comparison view shows whether error rates are elevated relative to the previous release, and highlights any new issues that appeared within minutes of the rollout. The team can make an informed rollback decision or begin a targeted fix within minutes rather than waiting for user reports.
Debugging a front-end error that support can't reproduce from a user description
A support ticket describes a checkout failure but provides no reproducible steps and a different browser configuration than the dev team uses. Sentry's session replay shows the exact user interaction sequence that triggered the JavaScript exception, turning a 2-day investigation into a 20-minute fix.
Identifying and fixing a database query causing API latency spikes
An engineering team notices p95 response times increasing on a key endpoint but has no visibility into why. Sentry's performance tracing surfaces an N+1 query introduced in a recent migration, with the specific database call, duration, and the code path that triggered it shown inline.
Three stepsto activate.
Check eligibility
Each partner maintains independent qualification criteria. We assess your profile and determine which offers you qualify for.
Schedule a briefing
Book a call with our partnerships team to discuss your stack requirements and walk through the activation process.
Activate credits
Once approved by the partner, credits are deployed to your account. Timelines vary by partner.
BearPlex maintains partnerships with leading technology providers to facilitate access to exclusive programs for our clients. All offers are subject to each partner's independent eligibility requirements, approval processes, and terms of service. Savings figures represent maximum potential value and may vary based on qualification, usage, and partner-specific criteria. BearPlex acts as a facilitation partner and does not guarantee approval or specific credit amounts. Offer availability and terms may change at the partner's discretion.
