Engineering Blog

4 min read

DataBuff v0.1.9 Release Notes

DataBuff v0.1.9 is ready: SkyWalking 8.0–8.3 agents can hit the existing ingest port; LLM providers have full CRUD; agent shell and read-only SQL cannot reach credential tables. Versus v0.1.8: 10 commits, no schema migration.

Highlights

  • SkyWalking 8.0–8.3: unqualified gRPC service names for Trace / JVM / Management are accepted on the existing ingest port.
  • LLM provider CRUD: create, update, delete, and detail views in config management.
  • Credential access hardening: AI agent shell and read-only Doris queries cannot reach config_llm_provider / api_key_cipher.
  • AI brain: duplicated streaming messages are fixed.
  • Doris-down LLM key: an in-memory LLM provider still takes effect when the config store is unavailable.
  • Service inspect: inspectService uses LIMIT 1 existence probes and reuses HTTP componentTypes.
  • Docs: Python OTLP integration quick-start (GitHub #75).

Install & upgrade

Fresh install: Docker install. Existing installs: upgrade & uninstall. No schema migration this release (schema_version stays 8). Kubernetes does not support in-place upgrade; uninstall then reinstall.

# Fresh install (wipes install dir and data/)
curl -fsSL https://databuff.ai/databuff/ai-apm-install.sh | bash

# In-place upgrade (keeps observational data/)
curl -fsSL https://databuff.ai/databuff/ai-apm-update.sh | bash

Try it

GitHub Release v0.1.9 · Repository