Database DevOps Observability.
If we can measure it you can improve it
Database DevOps observability empowers you to see everything happening within your database deployments. This translates to faster troubleshooting, improved efficiency, and heightened compliance.
Our DevOps Observability suite offers three key categories:
- Database Release Cockpit View
- Team Productivity View
- Release Health Monitoring Center
DevOps Observability Cockpit View for Database Releases
- DevOps Observability Performance Dashboard (DORA™-driven): Monitor key metrics like deployment lead time and change failure rate, aligned with DevOps best practices.
- Compliance Dashboard: Ensure regulatory adherence with real-time insights into database configurations, access controls, and observability tools in DevOps.
Team Productivity View
- Team Productivity Dashboard: Enhance DevOps observability by tracking team efficiency through visualizations of code contribution, efficiency, and rollback rates.
- Project Todo Dashboard: Maintain project clarity with a centralized view of outstanding tasks, upcoming deployments, and observability in DevOps processes
Testimonials
We started with one manual release per three weeks, and now we are at 2,300 releases per month.
Enterprise {>1000 emp.}
DevOps and data warehouses have a bright future together with DBmaestro.
Enterprise {>1000 emp.}
DBmaestro allowed us to control changes made to the database and promote those changes in an easy and controlled way
DBmaestro helped us bring our DevOps pipeline to a new level. There is no doubt that DBmaestro is the #1solution for integrating multiple databases into separate pipelines with ease.
DBmaestro leveraged DORA principles and practices to enable technology-driven teams to adopt automation and streamline database change management. This empowers teams to ship changes more frequently and reliably, ultimately improving their overall software delivery performance.
Release Health Monitoring Center
- Anomalies/Health Dashboard: Utilize DevOps observability to proactively identify and address database anomalies before they impact production.
- Alerts Dashboard: Receive real-time notifications for critical events and potential issues.
Key Benefits:
- Data-driven decision making with DevOps observability
- Supercharged strategic planning
- Holistic view of release automation performance
- Enhanced troubleshooting efficiency using observability in DevOps
- Enhanced team productivity
- Streamlined compliance management
- Faster identification and resolution of database anomalies with infrastructure observability
DBmaestro's Database DevOps platform
The end-to-end CI/CD for your database
Release faster and improve quality with the smart database release automation tool. Accelerate feedback loops between developers and DBAs to save time and eliminate costly rework.
Manage all changes made to database code, structure, or content across all teams. Maintain a single source of truth for all database changes.
Enforce organizational policy, manage roles and permissions while automatically documenting all changes made to your database code
Empower generative AI for database code change monitoring with robust AI error management that automatically identifies errors and proposes ad-hoc best practices for resolution
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FAQ
Can DBmaestro's database DevOps observability help identify process bottlenecks, not just technical issues?
Yes. DBmaestro’s database DevOps observability data can highlight delays in approvals, testing stages, or deployment cycles, revealing workflow inefficiencies beyond pure performance problems.
Does DBmaestro's database observability require changes to application code?
No. DBmaestro’s database DevOps observability can be implemented without modifying application code, making it suitable for legacy and third-party systems.
Can DBmaestro's database DevOps observability data be shared across teams securely?
Yes. DBmaestro’s role-based access ensures that DevOps, DBAs, and managers see relevant insights without exposing unnecessary technical or sensitive details.
How does DBmaestro's database DevOps observability support capacity planning?
DBmaestro’s database DevOps observability of historical trends and usage patterns help teams anticipate growth, optimize resource allocation, and prevent performance degradation before it impacts users.