Operations | Monitoring | ITSM | DevOps | Cloud

Rollbar + Zapier AI: Automatically Generate Clear, Actionable Jira Tickets

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.

7 Senior-Level AI Debugging Tools Compared

Every dollar spent on engineering is a bet on the future. But look at your engineering team's sprint backlog and you’ll see a non-trivial amount of that capital is spent on repairing the past. For the last ten years, if you asked a VP of Engineering what the solution was, the answer was always the same: better monitoring. Throw more telemetry at the wall. Build a bigger dashboard. Send more alerts at 3 AM. It was the only available tool, so it became the entire thesis.

Rollbar Debugging with ChatGPT using Service Links

In this guide, we will walk you through how to add a service link that connects directly to the Rollbar Debugging Assistant—our ChatGPT-powered tool that helps you quickly analyze and debug an occurrence’s raw.json without needing access to your code repository. The Rollbar Debugging Assistant makes it easier and faster to understand what went wrong in a specific error occurrence.

Prioritize errors and create tickets using Rollbar's MCP Server

Production errors can feel overwhelming. Your Rollbar dashboard is filling up with alerts, your team is scrambling to understand what needs immediate attention, and critical revenue-impacting issues might be buried among less urgent problems. Sound familiar? In this post, I'll walk you through a workflow that transforms production error chaos into organized, prioritized action items. We'll cover everything from analyzing Rollbar errors to creating properly linked Linear tickets.

Prioritize errors and create tickets using Rollbar's MCP Server

Production errors can feel overwhelming. Your Rollbar dashboard is filling up with alerts, your team is scrambling to understand what needs immediate attention, and critical revenue-impacting issues might be buried among less urgent problems. In this post, we'll walk you through a workflow that transforms production error chaos into organized, prioritized action items. We'll cover everything from analyzing Rollbar errors to creating properly linked Linear tickets.

Rollbar + Vercel built for how you ship

Vercel helps you ship fast. We help you ship safe with code‑first observability that connects errors to the code and deploys behind them. Together you get speed with clear insight into what is running in production. Today we’re launching our native integration in Vercel’s Observability category so you can connect Rollbar to your Vercel projects in minutes, map environments cleanly, and track deployments from day one.

Fix an error in Copilot without leaving your IDE

Production errors are every developer's nightmare. You're enjoying your coffee when suddenly alerts start firing - users are experiencing crashes, and you need to find and fix the issue fast. In this video, we'll walk you through how to use AI to diagnose and fix critical errors in an application using Rollbar's MCP (Model Context Protocol) server.

From Error to Insight: Our Brand Refresh

Software teams do their best work when they can move quickly without losing control. That reality has shaped how our product has evolved, and it needed to shape how our brand shows up too. Our refresh is not a new coat of paint. It is an honest reflection of what Rollbar is today and where we are going: a code-first observability platform that helps builders understand what is happening in their code and why, so every release is better than the last.