Introduction to At today’s press conference, in response to the core pain points of users, DAS has newly released 8 core autonomous functions, including 7x24 hours anomaly detection, automatic SQL current limiting, automatic SQL optimization, automatic space optimization, automatic elastic scaling, Intelligent parameter adjustment, intelligent pressure measurement, real-time audit, etc., for the enterprise's SQL problems, database load problems, space problems, capacity assessment, security audits, from abnormal discovery, root cause positioning, self-repair/self-optimization/self-security, both Achieve quick stop loss, and continuously optimize the database without manual intervention, allowing enterprises to use the database like experiencing "automatic driving", reducing database management costs by 90%.
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In April 2020, the Alibaba Cloud database autonomous service DAS was officially released, opening a new era of database "autonomous driving". After a year, the auxiliary autonomy mode of the database autonomy service DAS has supported 100% of Alibaba Cloud's entire network of highly available instances , and there are already more than 5000 customers, running in the autonomy mode of DAS, that is, authorizing DAS to perform Self-repair, self-optimization, self-operation and maintenance and self-security of the database.
Let the database play the best performance, relying on a lot of database professional domain knowledge, for most enterprises and application developers, it is still full of challenges, such as fault diagnosis, rapid root cause location and effective stop loss; in the process of rapid business iteration The continuous tuning of the database, SQL Review, etc., are very time-consuming and labor-intensive and require 7x24-hour on-duty capabilities. Therefore, it is an inevitable trend for the
If the transition from traditional databases to cloud databases is "cars for horses and carts", then DAS adds "automatic driving" engines to "cars" and has the capability of "automatic driving".
At today's press conference, in response to the core pain points of users, DAS newly released 8 core autonomous functions, including 7x24 hours anomaly detection, automatic SQL current limit, automatic SQL optimization, automatic space optimization, automatic elastic scaling, and intelligent parameter adjustment. , Intelligent stress testing, real-time auditing, etc. , for enterprise SQL problems, database load problems, space problems, capacity assessment, security audits, from abnormal discovery, root cause positioning, self-repair/self-optimization/self-security, it can achieve fast Stop loss will continue to optimize the database without manual intervention, allowing companies to use the database like experiencing "automatic driving", reducing database management costs by 90%.
SQL problem-unattended to achieve continuous database optimization
More than 70% of database performance problems are SQL problems, but the traditional solutions lack effective stop-loss methods, and there is no possibility of early prevention and continuous optimization.
DAS covers all aspects of solving SQL problems through the location of abnormal SQL, automatic current limit of abnormal SQL, automatic SQL optimization, and result verification, and realizes timely detection, rapid stop loss, continuous optimization and verifiability.
Database load problem-to realize full link automatic elastic scaling and respond to business load changes
For most enterprises, the database is the backbone system. The surge in the database load will cause huge losses to the business. However, the threshold-based alarm method has the problem of large delay in detecting abnormalities. It is often not possible when the load changes. Quickly find and adopt stop-loss measures in a timely manner.
DAS's 7x24-hour anomaly detection can detect database anomalies within 1 minute, and supports full-link automatic elastic scaling (including bandwidth, Porxy, CPU/memory/IO, nodes, etc.), which can quickly solve database load problems and ensure business Continuously available.
Space problem-self-repair and self-optimization of database space problem
Database space problems affect the performance and cost of the database. DAS provides a complete self-repair and self-optimization solution of "temporary cure" + "root cure" for common database space issues, which saves the cost of database usage and improves database performance. .
DAS's comprehensive autonomy capabilities help enterprise users to play the best performance of the database
With the advent of the data age, various enterprises will inevitably encounter common database operation and maintenance pain points such as a wide variety of databases, difficulty in data monitoring, and high operation and maintenance costs during the process of rapid business growth. In the past year, DAS has established cooperation with 5000+ enterprises to provide them with professional and efficient database management services. We take the well-known "AI+Education" listed company English Fluent Speaking and well-known enterprise service providers as examples of commercial users, UFIDA, to show you how DAS, as a tool for database performance optimization, can solve user performance pain points and reduce operation and maintenance costs.
: builds a database operation and maintenance system and tools based on DAS. Aiming at the global workload, the system uses real business traffic and scenarios to continuously optimize, complete the closed-loop process of automatic tracking and rollback, realize automatic SQL Review and automatic optimization, and allow the database to achieve true "autonomy". In terms of operating procedures, the standardized non-inductive access and monitoring procedures of DAS effectively avoid the possibility of human omissions and misoperations during the operation.
The entire database operation and maintenance system is truly professional and efficient due to the unified access and management of DAS, automatic diagnosis, automatic SQL Review and optimization, which greatly reduces the daily workload of Liulishuo DBA.
Sun Wenjie, head of Liulishuo's infrastructure, said: "The introduction of DAS has optimized the overall performance of Liulishuo's database, greatly improved the efficiency of operation and maintenance, and helped the database management team release manpower from the heavy daily work and achieve team transformation and upgrading. DAS helps Liuli said to use database services smarter, more professionally, and more efficiently."
: DAS is a lightweight and personalized intelligent stress testing service that helps Yonyou Marketing Cloud use real business scenarios and traffic to evaluate the database capacity and compatibility of MySQL database migration to PolarDB.
In this process, DAS captures real business traffic with low load, automatically generates stress test traffic through learning, supports write traffic playback, stress test and automatic grammar conversion, all of which help various assessments to foresee possible risks, multi-dimensional, high Perspective and all-round escort for database migration.
In terms of capacity evaluation, the PolarDB specifications were accurately evaluated according to business requirements during the intelligent stress test, avoiding potential performance risks, accurately evaluating the migration instance specifications, and avoiding unnecessary waste of IT resources.
Throughout the process, DAS has been escorting UFIDA's database migration, discovering compatibility and performance risks in advance, and completing reasonable capacity assessments. Finally, the business plan for database migration was successfully completed.
DAS sincerely invites you to enter the database "autonomous driving" era
In just one year, DAS gained the trust of 5000+ customers and entered the era of database "autonomous driving". Apart from the needs of the times, there are some inevitable factors behind this success.
The complex business scenarios within Alibaba, database instances with more than 100,000 , fast iterative business, super hot "Double Eleven", etc., all provide DAS with a unique and irreplaceable "autonomous driving" training ground. Help DAS exercise its autonomous driving capabilities. Although DAS was only released in 2020, it actually started research and development as early as 2017. In the internal Alibaba, DAS has experienced three years of uninterrupted temper, supporting 3 Ge double eleven , automatically optimizes the more than 4900w slow SQL, automatically recovered 4.6 PB space automatically optimizes 12% memory.
In addition, the transformation of Dharma Academy’s cutting-edge research, the diversity of user business types, the complexity of databases, etc., have brought huge challenges to the automatic driving of databases. Many of these problems are difficult for professional DBAs, while DAS I chose to face the difficulties, walk in front of the times, and solve all problems in advance. DAS is jointly developed by Alibaba Cloud and Dharma Academy, and has achieved huge breakthroughs in core technologies such as anomaly detection, SQL diagnosis, and root cause location. In the past 3 years, DAS-related R&D teams have published 4 papers at top international database conferences, including SIGMOD and VLDB conferences.
In the past six months or more, DAS has performed hundreds of billions of anomaly detections every day, and performed at least more than 200,000 times . Cumulatively, it has helped users automatically deal with 10000+ failures, achieving 1 point minutes of discovery, 5 minutes of positioning, 10 minutes of stop loss , without user manual intervention, to maximize the goal of ensuring the continuous availability of the database. The future will inevitably be an era of full database autonomy. DAS will continue to target database auto-driving, and continue to increase its autonomy capabilities of self-awareness, self-decision-making, self-recovery, self-optimization and self-safety, so as to provide users and industries with deeper solutions. Demand.
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