Vilian Iaumbaev has built a system that automates the handling of new crash reports for iOS and Android, significantly simplifying error tracking and fixing. The flow combines Crashlytics SDKs with automated integrations into Jira to turn each new crash into an actionable and prioritizable issue.
The system begins by integrating Crashlytics into mobile applications to capture native and runtime crashes. Each report is grouped and enriched with metadata such as app version, device, operating system, affected user, and stack traces. Then, a webhook or cloud function processes and normalizes the information, applies priority rules, and automatically creates Jira tickets with relevant attachments and labels that facilitate assignment to specific teams.
To maximize efficiency, automatic symbolication steps for iOS and Android are included, including uploading dSYMs and symbol maps from the build pipeline. The system notifies developers through internal communication channels and updates the ticket status as testing and deployments are carried out. It is also possible to integrate metrics into business intelligence dashboards to measure error frequency, mean time to resolution, and trends by version.
The automation improves the error lifecycle: instant detection, automated triage, assignment and tracking in Jira, and feedback to the QA team and CI pipeline. By connecting this data with analysis and reporting tools, data-driven decision-making and prioritization of fixes that impact users the most are facilitated.
At Q2BSTUDIO, we are specialists in implementing complete solutions like this one. We offer custom software development services and custom application creation, with experience in artificial intelligence to optimize processes, AI agents for task automation, and cybersecurity solutions to protect data and systems. We also provide AWS and Azure cloud services and business intelligence services that integrate information from sources such as Crashlytics to generate actionable reports on platforms like Power BI.
Our approach combines technical expertise and strategic consulting: we analyze telemetry, design symbolication and deployment pipelines, configure integrations between Crashlytics and Jira, implement automations with cloud functions, and connect results to Power BI dashboards. We also offer AI solutions for companies that apply predictive models to anticipate regressions and prioritize fixes that reduce user impact.
Key benefits of implementing crash report automation: reduced mean time to resolution, better traceability in Jira, less manual reprocessing, centralized visibility in business intelligence dashboards, and higher quality in custom software deliveries. With cybersecurity practices and access control, we ensure that sensitive data is protected throughout the entire flow.
If your company needs to build or improve an automatic crash report management system for iOS and Android, Q2BSTUDIO can help you design and implement the complete solution. We have experience in custom software, custom applications, artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, AI for companies, AI agents, and Power BI to deliver measurable and scalable results.
Contact our team to evaluate your current architecture, design the integration with Crashlytics and Jira, and deploy an automation that reduces manual effort and accelerates the delivery of robust and secure solutions.
