Simple Log Service (SLS for short) is a cloud native observation and analysis platform that provides large-scale, low-cost, real-time platform services for log/metric/trace and other data.The one-stop service provides data acquisition, processing, analysis, alarm visualization and delivery functions, and comprehensively improves the digital capabilities of research and development, operation and maintenance, operation, security and other scenarios.
Log/Metric/Trace data unified access;Fully support cloud product logs, open source systems, multi cloud logs, and offline log access
Intelligent and efficient
Have the ability to analyze tens of billions of data at the second level;Support full AIOps capabilities, intelligent anomaly detection and root cause analysis
one-stop
Support one-stop log functions such as acquisition, processing, analysis, visualization, alarm, etc;Fully compatible with Flink, Spark and other streaming batch data analysis platforms
It has the elastic scalability of PB/Day scale;Support pay as you go, only pay for the actual usage, and reduce TCO by more than 50%
Product Functions
data acquisition
Data processing
Query Analysis
Monitoring and alarm
Log audit
Delivery and consumption
data acquisition
Support unified log/metric/trace collection, server/application/mobile device/web page/IoT and other data source access, and Alibaba Cloud products/open source systems/cloud/cloud log data access
convenient
40+mature access scheme, unified collection of multiple clients, support multiple transmission modes such as intranet, public network and global accelerated transmission
reliable
Ali economy has its own infrastructure, which has been tested many times by the Double 11 Festival and Spring Festival Gala.Support breakpoint resume, and realize elastic scaling based on business traffic
to open up
Multi protocol (HTTP/Syslog/Protetheous/OpenTelemetry) seamless access, complete connection with open source ecosystem
Application scenarios
Global collection, high flexibility scenario
Live broadcast of real-time business monitoring scenarios
Data Lake Intake Scenarios
Global collection, high flexibility scenario
For example, game industry related businesses have the characteristics of large user scale and rapid growth, and the globalization of user groups covers both at home and abroad.Therefore, it is necessary to have a stable, flexible and high-performance log platform to meet the game operation team's increasingly rich and detailed data analysis needs with the business development, so as to achieve the refined operation of the business
Problems that can be solved
Difficulty in collection: the self built log platform has low reliability in the global collection scenario
Difficulty in capacity expansion: self built platforms are difficult to adapt to the rapid growth of users' capacity expansion needs in the game scenario
Inelasticity: the self built log platform is difficult to meet the elastic requirements of game activity scenarios
Scheme advantages
Global acquisition: support internal/public network, global acceleration and other ways to meet global acquisition needs
High performance: support the processing of billions of data in seconds and dozens of petabytes of throughput
High elasticity: support linear scale expansion (PB/Day), which can be elastically scaled according to traffic
Live broadcast of real-time business monitoring scenarios
In recent years, live broadcast business has gradually become a key business in education, games, e-commerce and other industries. The real-time characteristics of live video often require the platform to have the ability to quickly troubleshoot live broadcast exceptions, and can quickly locate and resolve failures to avoid live broadcast incidents
Problems that can be solved
Difficult to collect: different data formats and sources at different ends make it difficult to achieve unified collection
Performance bottleneck: the self built log platform is slow to query under large-scale data
Stability problem: the self built platform has insufficient stability in large-scale data scenarios
Scheme advantages
Unified collection: supports the unified collection of 40+data sources such as mobile terminals and WEB
High performance: log service has the ability to analyze billions of data in seconds with high performance queries
High reliability: the log service has been stable and reliable after years of Double 11, the red envelope test of the Spring Festival Gala
When customers use the self built message pipeline to connect the unified data channel of big data platform with big data processing and analysis engines such as Flink and Spark.The business scale will gradually increase, and the difficulty of operation and maintenance will continue to increase. At the same time, there will be performance bottlenecks in collection.Therefore, a more stable, reliable and flexible service is needed to adapt to the rapid development of business
Problems that can be solved
Collection performance problem: the self built message pipeline has collection performance and stability bottlenecks
High cost: the self built message pipeline needs to reserve resources to cope with the activity scenario, which is costly
Difficulty in operation and maintenance: the complexity of self building in large-scale data scenarios has increased, increasing the difficulty of operation and maintenance
Scheme advantages
High concurrency: data channel supporting petabyte scale data volume
Provide 20+data docking means to seamlessly connect mainstream streaming/batch processing platforms
Pay as you go: the log service is a pay as you go product, which only pays for the actual data processing volume
Full hosting: the log service is fully hosted and free of operation and maintenance, and users do not need to input operation and maintenance resources
The log service helped Changjietong O&M development team to improve the O&M efficiency, O&M cost, communication cost, etc.It supports the healthy and stable operation of all cloud products of Changjietong, and sets a benchmark in the field of IT operation and maintenance development
Log service - machine learning function enhancement
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2019-08-01 New functions/specifications
Data processing/ETL release
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2019-09-26 New functions/specifications
Alibaba Cloud platform operation log (Inner ActionTrail) public beta release
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New functions/specifications on November 18, 2019
Cloud bill management - cost steward officially released
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New functions/specifications on November 28, 2019
New Logtail supports user-defined data processing
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November 28, 2019 Function optimization
Grafana instrument cluster supports alarm function
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New functions/specifications on December 19, 2019
Instrument panel mobile end online
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New functions/specifications on December 26, 2019
Support MaxCompute data import
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2020-01-10 New Features/Specifications
SMS log analysis function launched
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2020-02-11 New Features/Specifications
New coronavirus epidemic analysis app released
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2020-02-13 New Features/Specifications
Data processing function update
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2020-02-28 New Features/Specifications
Log service supports historical data re indexing
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2020-03-04 New Features/Specifications
Publish the permission assistant to simplify the permission configuration of the Log Service Project
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2020-03-09 New Features/Specifications
Real time analysis of Redis audit logs
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New functions/specifications on March 21, 2020
Log service publishes K8s event center
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2020-04-18 New Features/Specifications
Log Service SQL Case Center Publishing
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2020-05-16 New Features/Specifications
Log service SLS epidemic situation development template app, supporting international epidemic data
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2020-05-20 New Features/Specifications
Data processing (open test) - plus function update
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2020-05-20 New Features/Specifications
Visual analysis chart of log service SLS, new track chart, bubble chart and change chart
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2020-05-26 New Features/Specifications
Log service - log audit function update, new log access supporting DRDS, and global view of cloud product log volume
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2020-05-30 New Features/Specifications
The log service SLS is newly added to support the access of only the specified IP addresses
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2020-06-30 New Features/Specifications
The log service publishes the exception patrol function of sequential streaming data
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2020-06-30 New Features/Specifications
Log service log audit, supporting customized refined log collection strategy
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2020-07-14 New Features/Specifications
SLS adds timing storage, and provides one-stop access, storage, visualization, alarm, intelligent operation and maintenance and other functions for monitoring and other timing data
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2020-07-22 New Features/Specifications
Log services connect Alibaba Cloud operation audit logs, and support access to ECS, RDS, and OSS platform operation logs (Inner Actio
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2020-08-20 New Features/Specifications
SLS supports MySQL monitoring and JVM Spring application monitoring
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2020-09-25 New Features/Specifications
Alibaba Cloud log service publishes SLB log intelligent patrol center
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2020-09-25 New Features/Specifications
Alibaba Cloud log service - commercial release of data processing
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2020-09-25 New Features/Specifications
Alibaba Cloud log service - commercial release of data delivery function
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2020-09-29 New Features/Specifications
AliCloud log service SLS publishes analysis templates for monitoring data such as Elastic search and ClickHouse
