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Community Blog Entering the AI-Native Era: How DAS Leverages LLMs to Revolutionize Database Autonomy

Entering the AI-Native Era: How DAS Leverages LLMs to Revolutionize Database Autonomy

This article explores how DAS is democratizing expert-level database management for every enterprise.

by Sunny Jovita, Solution Architect Alibaba Cloud Indonesia

In the modern data landscape, database management has often been a game of "firefighting", reacting to slow SQL, deadlocks, and security breaches after they occur. Instead of we spend entire day to look for the solutions, what if your database could assist to find the solutions by itself? Welcome to the Database Autonomy Service (DAS), where we are shifting the paradigm from manual operations to AI-Native autonomy. By leveraging advanced LLM (Large Langauge Model) and Machine Learning technologies, DAS transforms traditional monitoring into intelligent diagnostics. Whether it's autonomously analyzing deadlock sequences in just one minute or priciding 7*24 security scanning powered by an intelligent security center, DAS empowers enterpriss to move from prevention to prediction.

In this post, we'll explore how DAS is democratizing expert-level database management for every enterprise.

DAS - Database Autonomy Service

Product Document

DAS is a cloud service that automates perception, healing, optimization, O&M, and security for databases based on machine learning and expert experience. DAS simplifies database management and prevents service failures that may be caused by manual operations. This ensures the stability, security, and efficiency of your database service.

DAS ENTERPRISE EDITION

Product Document

Key Capabilities

After you enable DAS Enterprise Edition, you gain access to the following features:

1

Pricing:

a) Pricing：Pricing Documentation

2

● Log Traffic

This fee is charged on a pay-as-you-go basis when logs are imported into storage. This includes basic processes such as collection, transmission, and writing.

● SQL Explorer

This fee is charged based on the log volume when you use SQL Explorer for automatic aggregation and analysis.

● Log Index

This fee is charged when you enable the log indexing feature.

Log indexing data is stored in hot storage. Indexes are automatically adapted and created to ensure data read speed.

After logs are imported to hot storage, no storage fee is charged for the first day.

● Security Audit

When you use the new version of security audit, you are charged based on the minimum consumption (USD 0.1042/hour/instance) or the log volume.

The Brain of the Operation: DAS Agent & Agentic AI

At the heart of our autonomy strategy is the DAS Agent. Unlike traditional tools that simply store logs for you to sift through later, DAS Agent is an Agentic-AI based service that autonomously decides which data to analyze and when.

Powered by LLM-driven intelligence, the DAS Agent acts as your autonomous co-pilot, delivering deep diagnostics and operational efficiency improvements that traditional tools cannot match.

Key Capabilities

a) Daily Operation Report: Automatically analyzes the health status of all TP/NoSQL instances under the UID daily, uniformly outputs high-value optimization recommendations (such as slow SQL, storage, backup, security, resource utilization), eliminating the need for DBAs to conduct individual investigations. Transforms firefighting into prevention.

b) SQL Optimization: Covers all TP engines, provides index recommendations, SQL equivalent rewriting, and pre-deployment checks, with results significantly better than traditional cost calculation/RDS Recommendation.

c) Anomaly Diagnosis: Real-time analysis of CPU, load, I/O, memory, deadlocks, and other dimensions, quickly identifying root causes and providing optimization recommendations.

Suitable for

  1. No dedicated DBA/developers performing part-time roles/relying on MSP.
  2. Large customers have numerous instances and engine types, with DBAs constantly "firefighting" - DAS Agent can significantly reduce their workload.

Supported Database: RDS series, PolarDB series, Tair (Redis-compatible), MongoDB, etc. DAS supports Alibaba Cloud Databases, Self-managed databases (deployed on ECS), Databases from other cloud service providers or other self-managed databases.

Demo

On the demo instance, there is a database named orderdb containing an orders table with 5 million rows of order data. We will demonstrate how the DAS Agent provides optimization recommendations for an unreleased SQL query:

SELECT /* #6 */ * 
FROM order_info_5000000 
WHERE type IN (1, 3) 
ORDER BY type, create_time DESC 
LIMIT 10;

Pricing:

a) Pricing: Pricing Documentation

The pricing and editions for DAS Agent are structured into two man categories: the Basic Edition and the Enterprise Edition, which varies based on the number of managed instances.

Basic Edition

• Capacity: Supports managing up to 10 instances and is limited to 1 agent.

• Pricing Model: Uses a monthly fee plus pay-as-you-go model for usage beyond the initial plan.

• Cost: The base monthly fee is $30, which includes 100,000 characters.

• Post-paid Charges: Any usage exceeding the 100,000-character limit requires post-paid charges.

Enterprise Edition

• General Features: Offers unlimited usage for a fixed monthly fee, regardless of token volume, and has no limit on the number of agents.

• Tiers and Pricing:

  • Manage 20 instances: $2,250 per month.
  • Manage 40 instances: $4,500 per month.
  • Manage 60 instances: $6,750 per month.
  • Manage 80 instances: $9,000 per month.
  • Manage 100 instances: $11,250 per month.
  • Unlimited instances: $22,500 per month."

O&M Service

Product Document

1. Product Introduction:

Provides database stability assurance with 24/7 scanning, such as high resource utilization alerts, slow SQL optimization, deadlock analysis, and health diagnostics reports for database instances. The relationship with DAS Agent, can be illustrated as follows: the O&M service upgrades your bicycle to a car (significantly enhancing operational capabilities), while the DAS Agent provides autonomous driving (both bicycles and cars can have autonomous driving, but we recommend combining the car with autonomous driving for optimal results)

a) Key Capabilities: Includes six core features

b) Customer Profile: Cloud Database Users

c) Supported Database: RDS MySQL, PolarDB MySQL, Redis. Other TP and NoSQL databases will be supported in batches soon.

d) Demo

3

The Shield: LLM+ML Powered Intelligent Security Center

Security and stability are critical business imperatives. However, managing security baselines and auditing SQL injections across multiple engines is increasingly complex. DAS introduces an LLM+ML Powered Intelligent Security Center that brings enterprise-grade protection to everyone.

1) Product Advantages: Supporting multi-database engines with comprehensive full-stack database security management capabilities and 7×24 scanning, empowering enterprises to enter the era of automated database security governance. Centered on intelligent sensitive data discovery, column-level encryption protection, and full SQL audit tracking, combined with unified security risk management for SSL certificates, IP whitelists, and security baseline configurations, we democratize enterprise database security capabilities and ensure comprehensive protection for core data assets with continuous compliance online.

2) Core Capabilities

• Security Audit: https://www.alibabacloud.com/help/en/das/user-guide/enable-security-audit-new-version

  • Real-time security alerts leveraging {LLM + Machine Learning} to detect high-risk behaviors including data breaches, anomalous SQL injection, vulnerability exploits, and sensitive information access. Self-service emergency response through DAS throttling/session circuit breaking capabilities.
  • Archive full SQL requests with comprehensive auditing of SQL statements, access sources, and execution results to meet Classified Protection compliance requirements. Historical database operations can be traced back to any point in time for post-incident investigation.

• Security Management: https://www.alibabacloud.com/help/en/das/user-guide/safety-management

Unified management across multiple engines including RDS MySQL, PostgreSQL, SQL Server, PolarDB series, PolarDB-X 2.0, Redis, and MongoDB. Centrally manage SSL certificates and IP whitelist configurations, automatically inspect security baseline items such as weak passwords, backup policies, and audit enablement status, with batch discovery and AI-powered remediation recommendations.

  • SSL Certificate Manegement: monitor the certificate status of all your database instances
  • Security Baseline Check: fully automated security assessment service for your databases.
  • Cross-Engine Whitelist Template: uniformly manage and batch-configure network access permissions across different types of database engines

3) Scenarios: Database configuration security, data security, compliance and audit

4) Suitable for

  • Basic Users: Users unfamiliar with security management, struggling with scattered security configurations, difficulty tracing security behaviors, and inability to control sensitive data.
  • Enterprise Customers: Medium to large-scale enterprises concerned about Classified Protection compliance audits, worried about data breach risks, and challenged by multi-instance security configuration chaos. Providing advanced security capabilities.

5) Demo

6) Scope of Application:

  • RDS MySQL, PostgreSQL databases, PolarDB series databases, MongoDB, Redis databases, as well as self-managed MySQL, PostgreSQL, Redis, and MongoDB instances

Understanding the Ecosystem: Agent vs. Enterprise Edition

To maximize the value of DAS, it's important to understand how the different components work together. Think of it this way: The O&M service upgrades your bicycle to a car (significantly enhancing operational capabilities), while the DAS Agent provides autonomous driving.

● DAS Enterprise Edition: Focuses on audit log storage and management. It provides the SQL Explorer and Audit Feature to record and analyze the execution of SQL statements on a pay-as-you-go basis. It still requires manual operation to perform O&M and diagnostics based on these logs.

● DAS Agent: This is the AI-Native layer. It autonomously decides which time period's logs to access for operational diagnostics and optimization. It reduces the disruption caused by tedious tasks, allowing DBAs to focus on high-value innovation.

Conclusion: From Firefighting to Prevention

The era of manual database firefighting is over. With DAS, you gain access to 7*24 scanning, deep diagnostics, and an intelligent security center that ensures the continuous online operation of your core database businesses.

By combining LLM capabilities with expert experience, DAS transforms database management from a reactive burden into a proactive advantage. Whether you are a startup with no dedicated DBA or a large enterprise managing thousands of instances, DAS provides the operational capability equality you need to thrive in the AI-Native era.

Ready to upgrade your database operations? Explore DAS today and experience the power of autonomous database management.

Database AI Artificial Intelligence Developers Tutorials Database Autonomy Service DAS Generative AI GenAI LLMs AI Native Agentic AI DAS Agent AI-Native autonomy Large Langauge Model
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