DevOps Command Center (PoC)

Navigating a modern DevOps environment with multiple teams of professionals and a plethora of tools like JIRA, Git, and Kubernetes is no small feat.

Information gets trapped in tools’ data silos, making it incredibly tough to connect the dots across different activities.

The inability to view real-time data across different stages of the development pipeline makes it difficult to track progress and identify bottlenecks promptly.

With scattered information, pinpointing the root causes of issues becomes time-consuming, often leading to delayed resolution and increased downtime.

• Data silos
• Complex DevOps environment
• Real-Time data visibility: The inability to see real-time data across different stages of the development pipeline makes it difficult to track progress and identify bottlenecks
• Root cause identification: Scattered information makes pinpointing the root cause of problems time-consuming, resulting in delayed resolution and increased downtime

• Real-time data streaming: Using Kafka, our application ensures continuous and instant data updates across the DevOps ecosystem
• Extensible knowledge graph: Seamlessly connects and contextualizes data from all source systems, providing deep insights and a platform for cross-domain querying
• Key metrics dashboards: Essential, meticulously designed dashboards display release calendars, deployment and release progress, service relationships, and code quality metrics to improve project oversight and efficiency

• Progress Overview: The predefined web interface provides a high-level view of each release’s progress. Stakeholders can track critical metrics to ensure that each phase of the release cycle is under control and moving forward as planned
• Team collaboration: Centralizing data and providing a unified view across all tools fosters better collaboration, resulting in more cohesive project execution
• Effective troubleshooting: The integrated data in the knowledge graph helps teams quickly identify and resolve issues