Blog
Insights, updates, and deep dives from the Nirvana Labs team.
Powering AI, blockchain, and
databases
Powering AI, blockchain, and
Insights, updates, and deep dives from the Nirvana Labs team.
Diagnose database latency during maintenance with a controlled mixed-load test. Separate storage contention, checkpoint work, CPU pressure and client queueing.
Compare snapshots and database backups by consistency, failure domain, retention and restore results. Includes a practical Kubernetes recovery acceptance test.
Separate workspaces, checkpoints and shared records so multiple agents can coordinate safely, recover unfinished work and avoid overwriting each other.
Connect your assistant to the Nirvana API through MCP, start with read-only discovery, and verify infrastructure changes with a practical acceptance checklist.
Use disruption budgets, replica health, placement checks and application tests to make Kubernetes database maintenance a controlled operation.
Compare Modal, Nirvana and a Kubernetes workspace service you operate using recovery behavior, operating responsibility and complete session cost.
Reduce avoidable ClickHouse merge work before upgrading storage. Compare client batching and asynchronous inserts using freshness, query latency and correctness.
Keep one business effect when an agent restarts. Design stable operation IDs, safe retries and recovery tests that cover the gap after a tool succeeds.
Compare BYOC and hosted services using matched workloads, the full recurring bill, recovery ownership, and migration costs.
Test a ClickHouse backup on a fresh target. Validate recovered data, dependencies, access, and the time to usable application queries.
