Simple Log Service provides the Full-stack Observability application to enable end-to-end observability of IT systems. The application provides features such as IT system monitoring, end-to-end tracing, and intelligent alerting. This topic describes the features, benefits, and billing of the Full-stack Observability application.
Features
The Full-stack Observability application is based on Simple Log Service capabilities, such as collection, storage, analysis, visualization, alerting, and AIOps. The application provides the following features:
Monitors various system components in real time, such as hosts, Kubernetes clusters, databases, and middleware.
Supports end-to-end and distributed tracing, end-to-end analysis of trace problems, and different protocols, such as OpenTelemetry, SkyWalking, and Jaeger.
Integrates continuous performance monitoring capabilities to monitor performance bottlenecks in code in real time.
Builds an application network topology based on the Extended Berkeley Packet Filter (eBPF) technology in a non-intrusive and automatic manner.
Provides built-in data associations to support seamless association and redirection among all types of observable data.
Provides visualized built-in reports, such as resource overview, resource usage monitoring, hotspot analysis, and detailed metrics.
Supports custom analysis and different languages for analysis, such as PromQL and SQL-92.
Supports AIOps metric inspection and detects abnormal metrics by using machine learning.
Supports custom alert settings and sends alert notifications by using the following methods: Message Center, text messages, emails, voice calls, DingTalk, and custom webhooks.
Benefits
Simple: You can enable the application with a few clicks and use centralized storage for the application. The application provides built-in reports to meet different requirements, such as monitoring dashboards, troubleshooting, and convergence and analysis of observable data.
Full-stack: The application supports various types of IT systems and observable data. You can collect log data, metric data, and trace data that are written in different programming languages to the application.
Automatic: The application supports automatic installation of Logtail on Elastic Compute Service (ECS) instances and Kubernetes clusters. The application can automatically generate service and network topologies.
Massive: The application uses the observable data storage and analysis engine of Simple Log Service to allow write and query of ultra-large-scale observable data.
Elastic: You can filter all types of observable data and specify storage periods for the observable data. No limits are imposed. You can dynamically scale the storage capacity of a Logstore or a Metricstore to meet service requirements.
Intelligent: The application uses the stream inspection algorithm that is developed by Alibaba DAMO Academy for AIOps to identify and locate errors in an efficient and accurate manner.
Billing
You can use the Full-stack Observability application free of charge. However, you are charged for operations that are related to the application, such as storage and indexing. For more information, see Billable items of pay-by-feature.