How do you stack up against industry baselines for DORA’s DevOps Metrics?

Continuous improvement in software quality and speed of delivery is key to DevOps success. A complex DevOps tool-chain makes it difficult to compute and track metrics and correlate KPIs to derive meaningful insights. Consolidating data from disparate tools, Klera enables a unified view across the DevOps lifecycle. It allows Engineering, Quality Assurance (QA) and Operations teams to track DORA metrics in real time, and proactively address performance issues, to continually improve end-user experiences.

Enable a Consolidated View of your Delivery Pipeline

Get a high-level overview of DORA metrics or drill down to discover granular details:

  • Unify data across tools to enjoy end-to-end pipeline visibility
  • Monitor custom insights to track progress and make informed decisions
  • Seamlessly trace issues across the lifecycle to identify bottlenecks
  • Enable faster feedback loops to continuously improve user experience

Benefits of Unified DevOps Metrics

Software Engineering

Accelerate time-to-market for new features and functionalities. Track metrics including Development Frequency, Speed of Deployment, and Mean Lead Time for Changes.

Quality Assurance

Identify defects at an early stage. Track metrics such as Change Failure Rate, Security Test Pass Rate and Average Test Code Coverage to continually improve release quality.

Operations

Track system reliability and maintainability metrics such as Mean Time to Resolution (MTTR), and slice and dice data to identify and resolve breakdowns faster.

Explore More Use Cases

Insights Delivery Insights Delivery Gather, Analyze, and Synchronize Data Across
Sources to Deliver Contextual Insights
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Data Synchronization Eliminate Inconsistencies Across
Tools With Real-time Data Sync
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Program Increment Planning Use Case Program Increment Planning Improve Cross-Functional Collaboration and Align
Development With Business Objectives​
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