DBOps Platform for Automated Database Operations
Automate managed database operations with Xamops DBOps. Track database inventory, surface savings opportunities, review query statistics, and monitor health snapshots across AWS RDS, Cloud SQL, and Azure databases.
Database maintenance is toil that quietly eats an engineer's week: checking which instances are still in use, chasing down oversized volumes, and digging through slow-query logs after something has already paged someone. The DBOps Platform keeps a live inventory of every managed database, flags savings opportunities against real utilization, and surfaces query statistics and health snapshots so that work happens continuously instead of during an incident.
One Inventory Across RDS, Cloud SQL, and Azure Databases
DBOps brings managed database services across AWS, GCP, and Azure into a single inventory: Amazon RDS, Google Cloud SQL, and Azure database services, with instance-level savings opportunities reported alongside the rest of your cloud spend.
The in-cluster Kubernetes agent extends DBOps further, collecting Postgres query stats, index usage, vacuum activity, and wait events, plus MongoDB and Redis health, without any manual instrumentation.
Key features of the Xamops DBOps Platform
Why Choose Xamops DBOps?
DBOps is one capability inside the Xamops cloud automation platform, so database inventory, savings, and health data sit next to the rest of your FinOps, DevOps, and SRE view instead of living in a separate tool. Organizations benefit from:
Benefits of Implementing DBOps
What is DBOps?
DBOps applies operations automation to managed databases: keeping an inventory of every database instance, surfacing cost savings opportunities, collecting query statistics, and capturing health snapshots so routine database work does not depend on a specialist being on call.
Which databases does Xamops DBOps support?
DBOps covers managed database services across AWS, GCP, and Azure, including Amazon RDS, Google Cloud SQL, and Azure database services. The Kubernetes in-cluster agent additionally gathers Postgres, MongoDB, and Redis diagnostics.
How does DBOps reduce database costs?
DBOps identifies oversized and idle database instances, highlights savings opportunities against observed utilization, and reports them alongside the rest of your cloud spend so database waste is visible next to compute and storage waste.
Can DBOps help diagnose slow queries?
Yes. DBOps collects query statistics and health snapshots, and the Kubernetes agent adds Postgres query stats, index usage, vacuum activity, and wait events so you can see which queries are causing latency.
Stop paging your DBA at 3am.
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