MYSQL OPS, PRODUCTIZED
Turn MySQL operations
into a deliverable product capability
dbbot focuses on the MySQL ecosystem and brings deployment, replication, backup, restore, monitoring, and downstream analytics access into one execution surface. Today the priority is to solidify deterministic workflows; next comes the evolution toward skills and AI agents.
git clone https://github.com/fanderchan/dbbot
Deploy
Standalone / Primary-Replica / MHA / MGR
Observe
Prometheus / Grafana / Alertmanager
Scale Out
ClickHouse downstream analytics
dbbot product cover
What ships now
This is not a concept page. It is a database operations foundation you can put to work now.
dbbot first narrows the parts of the MySQL ecosystem that most easily drift out of control, aligning variables, procedures, artifacts, and validation.
MySQL Delivery
Covers common delivery paths such as standalone, primary-replica, MHA, and MGR, reducing drift caused by environment differences and manual work.
Backup and Restore Loop
It is not only about being able to back up. It is also about restoring successfully and validating the outcome, turning critical steps into deterministic workflows.
Monitoring Integration
Builds a consistent integration surface around Prometheus, Grafana, Alertmanager, and exporters, reducing repeated assembly work.
ClickHouse Downstream
Brings MySQL downstream analytics into the same toolchain, covering cluster deployment, backup and restore, and common operations.
Roadmap
Move from standardized execution to Skills and AI Agents
Phase 1
Solidify deterministic workflows such as deployment, replication, clustering, backup, restore, and monitoring so scripts, variables, documentation, and validation all stay aligned.
Phase 2
Break high-frequency actions into composable skills, such as deploying instances, wiring exporters, validating restores, and checking backups.
Phase 3
Add a natural-language entry point on top of those skills so an AI agent can understand intent, generate a plan, confirm with humans, and then call dbbot to execute.
Official homepage
Productize database operations first, then connect AI.
dbbot is not about piling on more scripts. It is about giving database operations a steadier, more composable execution plane that fits automation and human collaboration.