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By Rollbar
You’re comparing error monitoring tools. You’ve narrowed it down to two or three options. Now you need to know what this actually costs before you bring it to your team. Here’s what Rollbar costs, what’s included at each tier, and how it compares to Sentry and Datadog on pricing. No sales pitch, just the math.
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By Rollbar
You know the drill. An error fires, you get the stack trace, and then you spend the next 45 minutes tracing it backward through four services, two config files, and a deploy that happened three hours ago. You eventually find the root cause, but the path to get there was manual, slow, and entirely dependent on how well you already knew the codebase. We built AI-powered root cause analysis (RCA) for that kind of slog.
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By Rollbar
Every app breaks eventually. A button stops working. A checkout flow throws an exception. An API returns a 500 error at 2 AM on a Saturday. The question isn't whether your app will have bugs; it's whether you'll find out before your users do. That's exactly what error tracking is for.
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By Rollbar
If you've ever fixed a bug only to watch it come back two weeks later, you already understand why root cause analysis matters. Patching symptoms feels productive - it's not. Getting to the actual cause is what prevents the same issue from eating your team's time over and over again. This guide covers everything you need to know about root cause analysis (RCA) in software testing: what it is, how to do it, which tools help, and where AI is taking it next.
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By Vince Power
Look, if you're starting a new Java web project in 2026, you should probably just use Spring Boot. With 14.7% usage in the 2025 Stack Overflow Developer Survey and a 53.7% admiration score among all web frameworks, it remains the default choice for modern Java web development. It has the largest ecosystem, best documentation, most active community, and strongest cloud-native support—now enhanced with built-in AI capabilities through Spring AI.
The best tool to track, analyze, and manage errors at scale? Rollbar tops our list.
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By Rollbar
Three frameworks dominate Python backend development in 2026: Django, FastAPI, and Flask. This guide helps you choose between them (plus specialized alternatives like Falcon, Tornado, and Litestar) using a simple decision tree. Answer three questions about your project, understand each framework's strengths, and pick the right tool for your needs.
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By Rollbar
For many engineering teams, Slack is the nerve center of daily work. It’s where incidents are discussed, decisions are made, and collaboration happens in real time. But when it comes to error alerts, Slack can quickly turn from helpful to overwhelming with noisy, context-poor notifications that developers learn to ignore.
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By Rollbar
If it feels like your GitHub notifications are a targeted DDoS attack on your brain, you aren't imagining it. Data from GitHub's Octoverse 2025 report shows an average of 43.2 million pull requests merged every month, a 23% jump from just a year ago. This surge in activity coincides with the widespread adoption of AI tools to write code. The temptation to just click "Approve" on a well-formatted AI-written pull request is higher than ever.
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By Rollbar
Front‑end bugs are notoriously hard to reproduce. By the time an error shows up in your monitoring tool, the most important context is already gone: what the user actually did. Session replay helps—but only if someone has the time and patience to scrub through recordings, correlate events, and form a hypothesis. That’s where Rollbar’s MCP server, paired with an AI agent like Github Copilot, changes the game.
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By Rollbar
Setting up Rollbar with your NodeJS application with custom parameters and people tracking.
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By Rollbar
Setting up Rollbar with your NextJS application with custom parameters and people tracking.
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By Rollbar
Setting up Rollbar with your Ruby on Rails application with custom parameters and people tracking.
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By Rollbar
Setting up Rollbar with your Javascript application with custom parameters, people tracking, and session replay.
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By Rollbar
Setting up Rollbar with your Javascript application in under a minute, with Session Replay included.
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By Rollbar
For many engineering teams, Slack is the nerve center of daily work. It’s where incidents are discussed, decisions are made, and collaboration happens in real time. But when it comes to error alerts, Slack can quickly turn from helpful to overwhelming with noisy, context-poor notifications that developers learn to ignore. By integrating Rollbar with Zapier AI, teams can transform raw error data into clear, actionable, and meaningful Slack messages, resulting in faster triage, less alert fatigue, and smoother developer workflows.
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By Rollbar
Context switching is one of the biggest hidden productivity killers in debugging. Jumping between multiple open browser tabs slows momentum and increases cognitive load, especially when you’re trying to diagnose an issue under pressure. Google Chrome's new split screen feature, paired with Rollbar Debugging Assistant, enables a faster, more focused way to troubleshoot errors without constantly losing your place.
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By Rollbar
Front‑end bugs are notoriously hard to reproduce. By the time an error shows up in your monitoring tool, the most important context is already gone: *what the user actually did*. By letting an AI agent like Copilot analyze Rollbar's session replay data directly, teams can move from *“something broke”* to *“here’s exactly why it broke”* in minutes, not hours.
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By Rollbar
In this video, we cover how you can use Rollbar, Zapier AI, and Google Sheets to create a completely automated reporting pipeline—one that generates weekly reports of Rollbar occurrences, organizes them in Sheets, and arms PMs with insights they can use to guide roadmap decisions, reduce risk, and improve user experience.
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By Rollbar
How do you turn raw error payloads into clean, meaningful ticket summaries without touching a line of code? Engineering teams rely on fast, accurate error context to resolve issues efficiently. Rollbar does a great job capturing rich payload data at the moment an error occurs, but getting that data into your issue-tracking workflow can still require manual triage—especially if you want clean, human-readable summaries in Jira.
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By Rollbar
Anything we can do to make debugging more efficient will lead to major cost and time savings. Currently, developers have to sift through alerts to pinpoint the root cause of errors and these alerts don't always contain meaningful data to help solve the problem. By grouping errors, developers have the opportunity to clear away the noise and focus on the bugs that are truly causing the most problems, making the task faster and more efficient.
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Rollbar provides real-time error monitoring, alerting, and analytics for software developers. It collects and analyzes errors in web and server applications, so developers can find and fix them faster. Rollbar's live feed is used to detect errors and exceptions in real-time, especially useful immediately after deploys.
Use Rollbar to:
- Get live, granular, and contextual application error data
- Perform real-time root cause analysis on production errors
- Share a common monitoring diagnostic tool across Dev and Ops
Catch errors before your users do. Resolve errors in minutes, and deploy with confidence.