Skip to main content

Governed AI-ops for PostgreSQL DBA operations: slow-query RCA, bloat/vacuum & blocking-lock analysis with a built-in governance harness (audit, budget, undo, risk tiers)

Project description

Postgres AIops (preview)

Disclaimer: Community-maintained open-source project. Not affiliated with, endorsed by, or sponsored by the PostgreSQL Global Development Group or any vendor. "PostgreSQL" and the elephant logo are trademarks of the PostgreSQL Community Association; all product/trademark names belong to their respective owners. MIT licensed.

Governed AI-ops for PostgreSQL DBA operations — connecting to a server with psycopg 3 and reading the system catalogs and pg_stat_* views — with a built-in governance harness: unified audit log, policy engine, token/runaway budget guard, undo-token recording, and graduated-autonomy risk tiers. Preview — mock-validated only, not run against a live cluster.

What it does

Three flagship signature analyses, plus the guarded reads and writes around them:

  • Slow-query RCA — take the worst pg_stat_statements entry (plus an optional EXPLAIN plan) and map its numbers — mean time, cache-hit ratio, temp spill, call count, plan node types — to a cited cause and a concrete action. Every finding carries its measured number, not a black-box verdict.
  • Bloat & vacuum analysis — combine per-table dead-tuple ratio and autovacuum recency into a ranked, cited recommendation (VACUUM / tune autovacuum).
  • Blocking lock-chain RCA — build the wait-for tree from pg_blocking_pids, name the root blocker (blocks others, waits on none), and give the action; a cycle is flagged as a likely deadlock.

What works

  • CLI (postgres-aiops ...): init, overview, server, activity, query, index, table, repl, analyze, remediate, secret, doctor, mcp.
  • MCP server (postgres-aiops mcp or postgres-aiops-mcp): 33 tools (24 read, 9 write), every one wrapped with the bundled @governed_tool harness.
  • Encrypted credentials: the role password lives in an encrypted store ~/.postgres-aiops/secrets.enc (Fernet + scrypt) — never plaintext on disk. Unlock with a master password from POSTGRES_AIOPS_MASTER_PASSWORD (MCP/CI) or an interactive prompt (CLI).
  • Reversibility: mutating writes fetch the real before-state first and record a faithful inverse — create_indexdrop_index; drop_index captures pg_get_indexdef so undo recreates it exactly; update_setting captures the prior value so undo sets it back. Irreversible ops (terminate_backend, cancel_query, run_vacuum, run_analyze, reindex, reset_query_stats) record prior stats for audit but declare no undo.
  • Safety: every state-changing CLI op supports --dry-run and requires double confirmation; every write MCP tool takes a dry_run preview. All identifiers that cannot be parameterised (table/index/GUC names) are validated and quoted; all values are bound query parameters.

Capability matrix (33 MCP tools)

Domain Tools Count R/W
Overview overview 1 read
Server server_version, show_settings, list_extensions, list_databases, list_roles 5 read
Activity list_activity, long_running_queries, list_locks 3 read
Queries top_queries, explain_query 2 read
Indexes unused_indexes, missing_index_hints, index_bloat, invalid_indexes 4 read
Tables table_sizes, table_bloat, autovacuum_status 3 read
Replication replication_status, replication_slots, wal_status 3 read
Analysis (flagship) slow_query_rca, bloat_and_vacuum_analysis, blocking_lock_chain_rca 3 read
Writes terminate_backend, cancel_query, drop_index 3 write (high)
run_vacuum, run_analyze, create_index, reindex, update_setting, reset_query_stats 6 write (medium)

The flagship analyses accept injected records for pure/offline analysis, or pull live from a configured target. top_queries/slow_query_rca require the pg_stat_statements extension; the read role should have pg_monitor.

Quick start

uv tool install postgres-aiops             # or: pipx install postgres-aiops
postgres-aiops init                        # wizard: add a target + store the password (encrypted)
postgres-aiops doctor                      # verify config, secrets, connectivity
postgres-aiops overview                    # one-shot cluster health snapshot
postgres-aiops analyze slow-query          # RCA the worst pg_stat_statements entry
postgres-aiops table bloat                 # dead-tuple bloat proxy per table

Run as an MCP server (stdio):

export POSTGRES_AIOPS_MASTER_PASSWORD=...  # unlock secrets non-interactively
postgres-aiops-mcp

Governance

Every MCP tool passes through the bundled @governed_tool harness:

  • Audit — every call (params, result, status, duration, risk tier, approver, rationale) is logged to ~/.postgres-aiops/audit.db (relocatable via POSTGRES_AIOPS_HOME).
  • Budget / runaway guard — token and call budgets trip a circuit breaker.
  • Risk tiers — graduated autonomy; high-risk ops can require a named approver (POSTGRES_AUDIT_APPROVED_BY / POSTGRES_AUDIT_RATIONALE — the env-var names the bundled harness reads).
  • Undo recording — reversible writes record an inverse descriptor built from the fetched before-state.

Scope

This is the PostgreSQL DBA-ops member of the AIops-tools family (governed AI-ops with audit + budget + undo + risk tiers). Do NOT use it for OT / industrial edge (Modbus, OPC-UA, PROFINET) — see the separate industrial-aiops line — nor for application-schema migrations or ORM management.

Missing a capability?

Coverage is intentionally a curated subset of PostgreSQL's catalogs and maintenance surface. Missing a view, a metric, or a maintenance command? Open an issue or PR — contributions welcome.

Status

Preview — mock-validated only, not run against a live cluster. The catalog queries are modelled from the documented pg_catalog / pg_stat_* shapes and need live verification. postgres-aiops doctor is the fastest live check.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

postgres_aiops-0.1.0.tar.gz (145.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

postgres_aiops-0.1.0-py3-none-any.whl (92.4 kB view details)

Uploaded Python 3

File details

Details for the file postgres_aiops-0.1.0.tar.gz.

File metadata

  • Download URL: postgres_aiops-0.1.0.tar.gz
  • Upload date:
  • Size: 145.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for postgres_aiops-0.1.0.tar.gz
Algorithm Hash digest
SHA256 86440d082400fd8af256c384a16816ee845cb88ae5e051d17a779e74aa5ccb8e
MD5 f5668ce47c0e98996ab2acaf87116a39
BLAKE2b-256 9f17250fe46c07cbadda32e2ebc6a6de0a5ff4a4b50b7b07173df97467b21a57

See more details on using hashes here.

Provenance

The following attestation bundles were made for postgres_aiops-0.1.0.tar.gz:

Publisher: publish.yml on AIops-tools/Postgres-AIops

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file postgres_aiops-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: postgres_aiops-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 92.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for postgres_aiops-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 dab0090abe94d630152b718452d364850377b22b8472abe64597a4e1e9eee2ce
MD5 60b1d80827f90324e66526e1c013a544
BLAKE2b-256 357326df683da758517fa930bde94080bef0a0e056c4b5e9f8df449f740d37ed

See more details on using hashes here.

Provenance

The following attestation bundles were made for postgres_aiops-0.1.0-py3-none-any.whl:

Publisher: publish.yml on AIops-tools/Postgres-AIops

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page