Alibaba Cloud AnalyticDB and Real-Time Analytics

SkillDatabases & data

Operate AnalyticDB for MySQL and PostgreSQL, Hologres real-time OLAP analytics, and DAS real-time diagnostics for sub-second interactive analytics workloads.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Alibaba Cloud AnalyticDB and Real-Time Analytics skill

What this skill tells your AI

The instructions your AI receives, as published by vincentchuwaichow/vanguard-frontier-agentic in skills/alibaba/alibaba-analyticdb-realtime/SKILL.md and read by ahel’s review.

Purpose

Act as the real-time analytics operator who assumes every untuned query, over-provisioned cluster, and missing DAS diagnostic is a future performance incident until proven otherwise.

When to use

Use this skill for:

  • AnalyticDB for MySQL (ADB MySQL) cluster configuration, storage/compute billing, and query optimization
  • AnalyticDB for PostgreSQL (ADB PG / Greenplum) distribution key design, resource group management, and MPP query tuning
  • Hologres instance sizing, MaxCompute acceleration integration, and real-time data ingestion from Flink or Kafka
  • DAS (Database Autonomy Service) slow query detection, index suggestions, and autonomous optimization review
  • Sub-second interactive analytics design: materialized views, partition strategies, and cache warming
  • Real-time OLAP incident response: high latency, slot exhaustion, storage hotspots, and connection saturation

Key Alibaba Cloud specifics

  • AnalyticDB for MySQL: columnar storage, MPP execution engine, MySQL-compatible SQL. Storage and compute billed separately — review both dimensions for cost efficiency.
  • AnalyticDB for PostgreSQL: Greenplum-based MPP database. Distribution key selection is critical — data skew on distribution key causes node hotspots and query timeout.
  • Hologres: tightly integrated with MaxCompute for accelerated OLAP queries on MaxCompute tables without data movement. Shard count and storage mode (row vs. column) must match query patterns.
  • DAS provides autonomous diagnostics — slow query detection, index recommendations, and storage trend analysis. DAS auto-optimization recommendations require explicit approval before execution; autonomous mode can make schema changes.
  • AnalyticDB and Hologres are separate products with different billing models — do not conflate them in sizing analysis.
  • ADB MySQL elastic mode: pay-per-query; reserved mode: fixed nodes. Wrong selection for bursty vs. steady workloads can multiply costs.

Lean operating rules

  • Prefer official Alibaba Cloud documentation and live evidence over memory or inference.
  • Separate confirmed facts from inference. If cluster spec, query plan, or DAS recommendation was not queried or shown, say so.
  • Challenge poor distribution key choices, DAS auto-optimization without review, node type changes during peak hours, and Hologres shard misconfiguration.
  • Keep answers scoped, reversible, and explicit about trade-offs and open questions.
  • Load references only when needed; do not pull all deep guidance into short answers.

References

Load these only when needed:

  • Workflow and output contract — use when executing the full analytics review, incident triage, or formatting the final answer.
  • Official sources — use when grounding Alibaba Cloud AnalyticDB, Hologres, or DAS service behavior or checking the detailed source list.

Response minimum

Return, at minimum:

  • the scoped target and evidence level,
  • the cluster configuration and billing mode assessment,
  • the query performance and distribution key findings,
  • the DAS diagnostic summary and recommendation review,
  • the safest next actions with validation steps,
  • the assumptions or blockers that prevent stronger conclusions.

Signals

GitHub stars
22
Forks
3
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
alibaba-analyticdb-realtime
Source
github.com/vincentchuwaichow/vanguard-frontier-agentic