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Database autonomic service DAS
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Database Autonomy Service (DAS) is a cloud service that realizes database self-awareness, self-healing, self optimization, self operation and maintenance and self security based on machine learning and expert experience, helps users eliminate the complexity of database management and service failures caused by manual operations, and effectively guarantees the stability, security and efficiency of database services.
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Product specification

Enterprise V3 - Pay As You Go
One stop database autonomous service supports log audit, slow log, SQL insight, security compliance (cloud security version), space governance, etc. Enjoy the cloud, save 20% in V3 new version
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Basic package of economic edition
Support 10 instances to upgrade to economic version
Specifications
Primary package
Purchase duration
1 month
Enquiry in progress
Economy intermediate package
Support upgrading 50 instances to economic version
Specifications
Intermediate package
Purchase duration
1 month
Enquiry in progress
Premium Package for Economy
There is no limit to the number of instances upgraded to the economic version
Specifications
Advanced Package
Purchase duration
1 month
Enquiry in progress

Product advantages

Save management costs
Use one platform to manage all databases in the enterprise, without multi platform switching, and provide database self-awareness, self-healing, self optimization, and self security services to help users eliminate the complexity of database management and save users a lot of management costs.
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Reduce the risk of database operation and maintenance
Based on machine learning and fine-grained monitoring data, anomaly detection is realized for 7 × 24 hours. From anomaly discovery, root cause analysis, stop loss/optimization, effect tracking, rollback, and precipitation knowledge base, the closed-loop diagnosis process is realized, and the fault processing time is reduced by more than 80%.
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Improve database security
Provide services such as high-risk SQL identification, SQL injection detection, new access source identification, sensitive data access discovery, real-time detection, full audit, rapid identification of database abnormal access, database dragging and other behaviors, and effectively ensure database security.
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Product Functions

Autonomous services Based on machine learning and fine-grained monitoring data, it realizes anomaly detection for 7 * 24 hours, provides automatic SQL flow limiting, exception snapshot, automatic SQL review and optimization, elastic capacity evaluation, automatic expansion of storage space, automatic expansion of computing resources and other functions, realizes the closed-loop diagnosis process, and the optimization effect can be quantified.
7 x 24 real-time anomaly detection Based on machine learning and fine-grained monitoring data, anomaly detection is implemented for 7 x 24 hours. Compared with threshold based alarm mode, abnormal changes in the database can be found more timely.
Automatic SQL flow limiting If the database encounters problems such as cache penetration, bad SQL, and abnormal traffic, there is no good solution in the traditional solution, and it can only accept business crashes or rely on development for processing. Automatic SQL flow limiting can directly and quickly find exceptions and identify abnormal SQL, automatically trigger flow limiting operations, and help businesses recover within five minutes.
Automatic SQL Review and Optimization Different from traditional single SQL diagnosis optimization, it takes the load as the optimization unit, comprehensively considers the characteristics of the load that affect the overall performance, such as the proportion of resources consumed by SQL execution, read/write ratio, etc., and carries out overall optimization to maximize the overall performance of the load, so as to avoid the problem of local optimization but overall slow down.
External Cost based SQL diagnostic engine An external cost based SQL diagnosis engine that can support various database engines is implemented. Compared with the SQL optimizer inside the engine, it has the advantages of more comprehensive monitoring data, faster diagnosis speed, and no additional cost for business.
Automatic elastic expansion Detect the capacity and water level of the database in real time. According to the real situation and strategy of the business, when the database resources reach the bottleneck, it will automatically expand without manual intervention, eliminate the fault in time, and ensure the normal operation of the user's business.
Intelligent pressure measurement The lightweight and personalized intelligent pressure testing service jointly developed with Dharma Institute supports users to evaluate database capacity and compatibility based on real business flow.
Enterprise database service It supports multiple management perspectives such as global, application group, and instance, and provides enterprise level capabilities such as customized large scale, batch management, and patrol inspection. It also supports integration with the original database management system of the enterprise.
Customize Dashboard It supports users to define the performance market. Users can compare and analyze databases with multiple instances and indicators.
Patrol inspection score It supports patrol from basic to parameter, SQL, performance, security, etc., and automatically generates reliable database patrol results.
Support to be integrated It supports embedding into the original system of the enterprise, effectively reducing the migration cost and learning cost within the enterprise.
unified management Multi environment, multi engine support, support for mainstream relational databases, NoSQL, NewSQL, as well as Alibaba Cloud databases, self built databases, and other cloud vendor databases.
unified management All databases on and off the cloud can be accessed in three minutes to achieve unified monitoring and alarm.
Support multiple databases It supports mainstream relational databases, NoSQL, and NewSQL, including MySQL, PolarDB, PostgreSQL, MongoDB, and Redis.
Database supporting multiple environments Alibaba Cloud databases, local IDC self built databases, ECS self built databases, and other cloud vendor databases are supported.
security audit Provide services such as high-risk SQL identification, SQL injection detection, new access source identification, sensitive data access discovery, etc., quickly identify abnormal database access, database dragging and other behaviors, and effectively ensure database security.
real-time detection Real time detection of all kinds of attacks and threats, and timely detection of security risks.
Identification of high-risk operations Intelligent identification of high-risk operations through intelligent algorithms and massive models.
Full audit Conduct real-time audit on all activities of the database to ensure database security.
Identification of abnormal access source Automatically identify new or abnormal access sources, and timely discover abnormal access to the database.

Application scenarios

Database autopilot
Enterprise database service
security audit
Hybrid cloud database management
Database autopilot
Database problem troubleshooting and performance optimization have always been professional problems in the database field. However, even the most professional DBAs often spend a long time in facing some problems, but they still cannot locate the root cause. Moreover, the traditional fault detection methods based on threshold alarms are difficult to find exceptions and stop losses in time.
Capable of providing
7 x 24-hour anomaly detection
Based on machine learning, 7 x 24 hour anomaly detection is realized, and the database health is always guarded.
Automatic SQL flow limiting
Automatically identify abnormal SQL and limit the flow to quickly restore business.
Automatic SQL Review and Optimization
Automatically complete SQL Review based on global load to ensure database stability.
Recommended combination
RDS
Cloud database PolarDB
Enterprise database service
Database is the core infrastructure of every enterprise. Many business teams and relevant staff are using or operating and maintaining data, so the need to manage according to the business perspective, support batch/grayscale control, reduce learning costs and other needs is the problem that enterprise database management needs to solve.
Capable of providing
Customize Dashboard
Support users to define the performance market, and support comparative analysis of multiple instances and indicators.
Patrol inspection score
It supports patrol from basic to parameter, SQL, performance, security, etc., and automatically generates reliable database patrol results.
Support to be integrated
It supports embedding into the original system of the enterprise, effectively reducing the migration cost and learning cost within the enterprise.
Recommended combination
RDS
Cloud database PolarDB
Data management DMS
security audit
With the improvement of data value, enterprise data is facing more and more internal or external attacks, and data leakage, data loss and other issues emerge in endlessly. Major global data leakage events occur almost every month, and small leakage events are even more numerous.
Capable of providing
real-time detection
Real time detection of various attacks and threats, and timely detection of security risks
Identification of high-risk operations
Intelligent identification of high-risk operations through intelligent algorithms and massive models.
Identification of abnormal access source
Automatically identify new or abnormal access sources
Recommended combination
RDS
Cloud database PolarDB
Hybrid cloud database management
With the popularization of cloud computing, enterprises can more conveniently use different databases according to different business types, or deploy databases in different environments. The challenges of multi environment and multi database management also follow: professional DBAs who are proficient in multiple databases are scarce talents and difficult to recruit; It is difficult to manage multiple databases deployed in multiple environments; It is difficult to deposit and inherit management experience.
Capable of providing
Unified database management platform
Use one platform to intuitively view the monitoring, alarm and performance of all databases without multi environment switching.
Performance diagnosis optimization
One click diagnosis, SQL diagnosis, SQL analysis, spatial optimization and other services are provided, which improves the efficiency of database management and strengthens the stability of the database.
Lower the threshold of database operation and maintenance
With the operation and maintenance experience of database experts, users can use DAS to directly solve database problems without professional database background.
Recommended combination
RDS
Cloud database PolarDB
Data management DMS

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MongoDB
The MongoDB version of cloud database supports two deployment architectures, ReplicaSet and Sharding, and has multiple enterprise capabilities, such as security audit and point in time backup. It is widely used in the Internet, Internet of Things, games, finance and other fields.
Cloud native database PolarDB MySQL
The cloud native database PolarDB MySQL version is a product developed by Alibaba Cloud and is 100% compatible with MySQL. The product has the features of multi active multi write, multi active disaster recovery and HTAP. The transaction performance can reach 6 times of the open source database, the analysis performance can reach 400 times of the open source database, and the TCO is 50% lower than the self built database.

Documentation and Tools