Best Bug Tracking Software for Amazon Web Services (AWS)

Compare the Top Bug Tracking Software that integrates with Amazon Web Services (AWS) as of October 2025

This a list of Bug Tracking software that integrates with Amazon Web Services (AWS). Use the filters on the left to add additional filters for products that have integrations with Amazon Web Services (AWS). View the products that work with Amazon Web Services (AWS) in the table below.

What is Bug Tracking Software for Amazon Web Services (AWS)?

Bug tracking software provides the tools to automate the tracking, detection and monitoring of bugs, issues and defects that obstruct the efficiency of computer systems. Compare and read user reviews of the best Bug Tracking software for Amazon Web Services (AWS) currently available using the table below. This list is updated regularly.

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    Sematext Cloud

    Sematext Cloud

    Sematext Group

    Sematext Cloud is an innovative, unified platform with all-in-one solution for infrastructure monitoring, application performance monitoring, log management, real user monitoring, and synthetic monitoring to provide unified, real-time observability of your entire technology stack. It's used by organizations of all sizes and across a wide range of industries, with the goal of driving collaboration between engineering and business teams, reducing the time of root-cause analysis, understanding user behaviour and tracking key business metrics. The main capabilities range from log monitoring to APM, server monitoring, database monitoring, network monitoring, uptime monitoring, website monitoring or container monitoring Find complete details on our website. Or better: start a free demo, no email address required.
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    Starting Price: $0
  • 2
    Prequel

    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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    Luciq

    Luciq

    Luciq

    Luciq is an AI-powered mobile observability platform designed for app developers and enterprises to monitor, diagnose, and improve mobile applications seamlessly. The solution brings together bug reporting, crash analytics, session replay, and performance monitoring in one unified SDK that supports Android, iOS, web and hybrid apps. It enables users to capture detailed device logs, network traces, annotated screenshots, videos and user feedback, while automatically correlating events and errors using machine learning to prioritize issues by impact. Developers gain visibility into user sessions where things went wrong, reproduce defects through replay, and resolve issues faster using integrations with JIRA, Slack, Zapier, Zendesk and other tools. With Luciq’s “Agentic Mobile Observability” approach, the system surface the most critical problems, suggests root-causes and even recommends remediations, helping teams increase velocity, improve app stability and enhance user experience.
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