Best Bug Tracking Software for Google Cloud Platform

New Relic provides an enterprise-level Bug Tracking tool that effectively identifies, monitors, and resolves software issues. Tailored for expansive operations, our integrated data platform consolidates telemetry information from your complete technology stack, equipping you with advanced full-stack analysis capabilities to uncover problems early and identify their origins. With real-time oversight and comprehensive reporting features, New Relic allows development teams to prioritize and tackle bugs efficiently, resulting in improved software quality and enhanced user satisfaction. Optimize your development workflow, minimize downtime, and boost reliability with New Relic's sophisticated bug tracking solutions. Equip your organization to produce impeccable software with New Relic.

Developers can track errors and monitor performance to see what is important, find faster solutions, and continuously learn about their applications, from the frontend to backend. Sentry's performance monitoring can help you trace performance issues down to slow database queries and poorly performing api calls. Sentry's application performance monitoring is enhanced by stack traces. Identify performance issues quickly before they cause downtime. To see the entire distributed trace from end to end, you can identify the API call that is not performing well and highlight any errors. Breadcrumbs help you make application development easier by showing you the events that led to the error.

Real-time monitoring and notification of exceptions: The Error Reporting tool counts, evaluates, and compiles crashes occurring within your cloud services. It features a centralized interface for error management that allows for sorting and filtering of results. A specialized view provides comprehensive error details, including a timeline chart, frequency of occurrences, number of impacted users, first and last occurrence dates, along with a refined exception stack trace. You can also opt to receive alerts via email and mobile for any new errors that arise. Gain a quick understanding of errors: Instantly view your application's most significant or newly identified errors on an intuitive dashboard. Relying on a log stream to pinpoint critical errors can hinder your troubleshooting efforts. Error Reporting delivers processed information directly to you, facilitating a quicker understanding and resolution of root issues. Additionally, this tool enhances your overall incident response efficiency.

Real-time application debugging is made possible through Google Cloud's Cloud Debugger, which allows developers to examine the current state of an application without the need to pause or hinder its performance. This means that users remain unaffected while you gather information about the call stack and variables at any point in your source code. By utilizing this feature, you can gain insights into how your application behaves in a live environment, enabling you to pinpoint elusive bugs and enhance overall code quality. Furthermore, the ability to analyze live application states can greatly streamline the troubleshooting process, making it easier to maintain robust software.

Prequel is a collaborative platform focused on identifying and managing issues, specifically crafted for fast-paced engineering teams aiming to deliver more dependable software. By harnessing collective failure insights from various platforms such as GitHub discussions, Discord conversations, and post-mortem analyses, Prequel converts this data into a versatile repository of problem detectors that address open-source bugs, configuration errors, and software design flaws. The system boasts accurate, deterministic detection capabilities, minimizing dependence on unreliable threshold or anomaly-based notifications while functioning in real-time to pinpoint problems at their inception. With a rapid installation time of just ten minutes that avoids the need for intricate integrations or code changes, Prequel fits effortlessly into current workflows. Its architecture operates within the cluster, utilizing community knowledge to process a continuous influx of detailed data, all while maintaining the confidentiality and integrity of the information within the cluster. This approach not only enhances security but also streamlines the identification of potential issues, allowing teams to focus on improving their software development processes.