Best Bug Tracking Software for Google Cloud Platform
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Compare the Top Bug Tracking Software that integrates with Google Cloud Platform as of May 2026
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This a list of Bug Tracking software that integrates with Google Cloud Platform. Use the filters on the left to add additional filters for products that have integrations with Google Cloud Platform. View the products that work with Google Cloud Platform in the table below.
What is Bug Tracking Software for Google Cloud Platform?
Bug tracking software helps development teams capture, organize, and manage defects found in applications throughout the software development lifecycle. It enables teams to log issues, assign ownership, prioritize severity, and track the progress of fixes from discovery to resolution. These platforms improve collaboration by providing a centralized space for developers, testers, and product managers to communicate and share updates. Many tools integrate with version control, CI/CD systems, and project management platforms to streamline workflows and maintain visibility across the development process. Ultimately, bug tracking software enhances product quality, reduces release risks, and speeds up delivery cycles. Compare and read user reviews of the best Bug Tracking software for Google Cloud Platform currently available using the table below. This list is updated regularly.
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1
Sentry
Sentry
From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend. With Sentry’s performance monitoring you can trace performance issues to poor-performing api calls and slow database queries. Source code, error filters, stack locals — Sentry enhances application performance monitoring with stack traces. Quickly identify performance issues before they become downtime. View the entire end-to-end distributed trace to see the exact, poor-performing API call and surface any related errors. Breadcrumbs make application development a little easier by showing you the trails of events that lead to the error(s).Starting Price: $26 per month -
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Google Cloud Error Reporting
Google
Real-time exception monitoring and alerting: Error Reporting counts, analyzes, and aggregates the crashes in your running cloud services. A centralized error management interface displays the results with sorting and filtering capabilities. A dedicated view shows the error details: time chart, occurrences, affected user count, first- and last-seen dates and a cleaned exception stack trace. Opt in to receive email and mobile alerts on new errors. Quickly understand errors: See at a glance your application's top or new errors in a clear dashboard. Looking at a log stream to find important errors can slow you down when you are troubleshooting. Error Reporting brings you the processed data directly to help you understand and fix the root causes faster. & more -
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Google Cloud Debugger
Google
Real-time application debugging: Cloud Debugger is a feature of Google Cloud that lets you inspect the state of a running application in real time, without stopping or slowing it down. Your users are not impacted while you capture the call stack and variables at any location in your source code. You can use it to understand the behavior of your code in production, as well as analyze its state to find those hard-to-find bugs. -
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Prequel
Prequel
Prequel is a community-driven problem detection and management platform designed to help high-velocity engineering teams ship and run more reliable software. By capturing global failure knowledge from sources like GitHub threads, Discord channels, and post-mortems, Prequel transforms this information into an extensible library of problem detectors covering open-source bugs, misconfigurations, and software antipatterns. The platform offers precise, deterministic detections, reducing reliance on noisy threshold or anomaly-based alerts, and operates in real-time to identify issues at the first sign of trouble. With a quick 10-minute installation process that requires no complex integrations or code instrumentation, Prequel integrates seamlessly into existing workflows. It features an in-cluster architecture that applies community expertise to a continuous stream of low-level data without raw data leaving the cluster, ensuring security and efficiency.
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