DevOps & OpsRollbar
Real-time error monitoring that groups, prioritizes, and routes exceptions automatically.
Rollbar is a real-time error monitoring and debugging platform that captures exceptions, log errors, and crashes from production applications and surfaces them with full context for engineering teams to act on. It supports a wide range of languages and frameworks including JavaScript, Python, Ruby, PHP, Java, and Go, making it relevant at most software companies regardless of stack. The core problem Rollbar addresses is the gap between a bug occurring in production and an engineer knowing about it: without proactive monitoring, teams rely on user reports or manual log trawling to discover errors, and by then the blast radius has grown. Rollbar's intelligent grouping engine deduplicates similar errors automatically so teams see signal, not noise, and its workflow integrations route errors to the right person without requiring manual triage. The Advanced plan adds features like telemetry for reconstructing user sessions, custom grouping rules, and higher data retention.
Engineering teams at software companies of any size that run production web or mobile applications and need structured visibility into what is breaking in the wild. The right time to adopt Rollbar is when the team is learning about production errors from user complaints rather than from their own systems, or when the volume of errors has grown to the point where manual log review is no longer practical.
6 months free on the Advanced plan
Subject to partner eligibility criteria. Savings estimates reflect maximum potential value.
Rollbarin depth.
Intelligent Error Grouping
Rollbar's grouping engine automatically clusters similar exceptions together, so a single bug that fires thousands of times appears as one item rather than thousands of alerts. Teams can tune grouping rules for their specific stack when the defaults do not match their error patterns.
Full Stack Traces with Context
Every captured error includes the full stack trace, request parameters, user data, and custom telemetry captured before the error occurred. This gives engineers enough context to reproduce and fix most errors without needing to ask a user for more detail.
Deploy Tracking
Rollbar can be notified of each deployment so error rates can be correlated to specific code versions. When a deploy causes a spike in errors, the dashboard makes the connection explicit so rollback decisions can be made quickly.
Workflow and On-Call Integrations
Errors can be routed to Slack, PagerDuty, Jira, GitHub Issues, and other tools based on severity or ownership rules. This means critical errors trigger the right person immediately without requiring a separate alerting layer.
Person Tracking and Impact Analysis
Rollbar can associate errors with individual users so teams know exactly how many people were affected by a given bug. This helps prioritize fixes by real user impact rather than raw error volume.
Rollbar integrates with GitHub, GitLab, Bitbucket, Jira, Slack, PagerDuty, OpsGenie, Datadog, and most major CI/CD pipelines out of the box. In a typical observability stack it sits alongside an APM tool like Datadog or New Relic for performance monitoring, and a log aggregator like Papertrail or Loggly, with Rollbar handling the exception-specific workflow layer.
Commonuse cases.
Catching regressions immediately after a production deployment
Rollbar's deploy tracking ties error spikes to the code version that introduced them, so engineers know within minutes if a release caused a regression. This compresses the detection-to-fix cycle from hours to minutes and reduces the window of user impact.
Prioritizing the bug backlog by real user impact
Instead of working through bugs by report date or gut feel, teams can sort by the number of affected users Rollbar has counted for each error. This ensures the highest-impact issues get fixed first, which is especially important for small teams with limited sprint capacity.
Debugging intermittent errors that are hard to reproduce locally
Rollbar captures the full request context, environment variables, and custom telemetry breadcrumbs leading up to an error, giving engineers a reconstruction of what happened even for race conditions or environment-specific bugs. This eliminates the back-and-forth of asking users to reproduce an issue.
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.
