DevOps Traceability
Troubleshoot Defects and Vulnerabilities Faster with End-to-End Traceability
DevOps Traceability Challenges
While DevOps has helped organizations in moving forward with higher agility and reliability, they struggle when there’s a need to step back and resolve application defects and vulnerabilities.
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Disparate Toolchain
As new tools are added to the DevOps setup, data integration and pipeline maintenance become challenging over a period. At times, teams need to manually update the data across tools.
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Large Volumes of Data
With details of projects, requirements, issues, and bugs spread across different tools, keeping track of artifacts in the value chain becomes challenging
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Lack of contextual Insights
Teams lack contextual data and insights for root cause analysis and troubleshooting. They have to spend several crucial hours tracing a vulnerability to its corresponding lines of code. The delayed response can hamper customer experience.
Get Correlated Visibility Across Tools
Gathr helps you quickly gather and analyze data from different tools in your setup and improve DevOps traceability. It expedites issue resolution and allows you to focus on real work.
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Bi-directional Connectors
Connect with your DevOps tools to fetch contextual data for root cause analysis and troubleshooting. With the ability to write back to native data sources, you can synchronize data across tools with a single click
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Ready-to-Use Apps & Templates
Visualize your DevOps data using pre-built apps and templates to discover trends and patterns. You can also customize the dashboard or create your own using a no-code platform.
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Automation
You can configure threshold-based alerts and use Python scripts and machine learning to automate certain actions for a quick resolution of defects and vulnerabilities.
Gain End-to-End DevOps Traceability
Use Gathr’s out-of-the-box DevOps traceability app to gain data-driven pipeline visibility and trace vulnerabilities and defects to their original files, authors, and features for a quick resolution.
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Analyze Defects
Quickly identify the features causing defects in production and assess the code impact.
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Find Who is Responsible
Identify frequently modified files that could have generated hotspots and who worked on them. Get assignee recommendations to resolve defects.
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Evaluate Quality Gates
Extend the analysis to include quality gates and measures to determine if the pass criteria need to be redefined.
Solution Highlights
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Ready-to-use solution requiring minimal configuration
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Out-of-the-box connectors to gather and analyze data from multiple tools
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Ready dashboards and templates to visualize data
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Python and Machine Learning support for predictive analysis
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Highly flexible; change formulas and add new tools without coding
Solution Benefits
With end-to-end traceability, your teams can quickly resolve issues and maximize customer experience.
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