apache/incubator-skywalking
Incubator Skywalking
SkyWalking is a comprehensive observability stack and application performance monitoring platform. It functions as a distributed tracing system and an AI application monitor, providing a centralized suite for collecting and analyzing logs, metrics, and traces to maintain the health of containerized architectures.
The platform distinguishes itself through a service topology visualizer that renders interactive maps of infrastructure dependencies and communication patterns. It also includes specialized capabilities for generative AI workflow observation to track the execution flow and performance of AI components within a software stack.
The system covers a broad range of monitoring capabilities, including automated performance alerting driven by machine learning for anomaly detection. Its telemetry surface encompasses distributed request tracing, log pipeline management, and the aggregation of performance metrics for microservices and system resource profiling.
Features
- Application Performance Monitoring Platforms - Provides a comprehensive platform for aggregating runtime metrics and tracing requests across distributed microservices.
- Topology Visualizers - Renders interactive maps of microservice infrastructure to visualize interconnections and communication patterns.
- Application Performance Monitoring - Tracks system metrics and logs to analyze the operational health and behavioral patterns of distributed applications.
- Distributed Tracing Systems - Captures and visualizes the end-to-end lifecycle of requests as they traverse multiple microservices.
- Distributed Tracing - Tracks requests across distributed systems using unique identifiers to analyze performance and execution flow.
- Cluster Monitoring Systems - Analyzes performance and aggregates event logs to monitor the health of microservices and container-based clusters.
- Telemetry Collection and Aggregation - Provides the infrastructure to unify, transport, and stream logs, metrics, and traces from diverse environments.
- Observability Suites - Offers an integrated suite for collecting and analyzing logs, metrics, and traces to maintain containerized architecture health.
- Service Dependency Mapping - Builds dynamic microservice dependency graphs by analyzing relationships between distributed trace spans.
- Telemetry Agents - Provides lightweight agents that instrument application code to collect and forward telemetry data to a centralized backend.
- AI Application Monitoring - Acts as a specialized monitor for tracking the production health and execution flow of AI-driven applications.
- AI Observability Tools - Monitors the execution flow and performance of generative AI components within the software stack.
- Metric Aggregations - Processes diverse metric formats through a unified pipeline to ensure consistent data aggregation across environments.
- Data Processing Pipelines - Uses a modular pipeline architecture to filter, aggregate, and transform metrics, traces, and logs.
- Telemetry Ingestion Gateways - Ships a unified ingestion gateway that accepts telemetry data from various industry standards and proprietary formats.
- Alerting Systems - Defines alarm rules based on services and forwards notifications to external monitoring systems.
- Anomaly Detection - Implements automated anomaly detection using mathematical models to identify performance deviations without manual thresholding.
- Log Aggregation Pipelines - Implements high-performance sampling and script-based processing pipelines for log aggregation and metric extraction.
- Automated Alerting Workflows - Configures automated alerting workflows based on system metrics and machine learning-detected anomalies.
- GenAI Execution Monitoring - Tracks the execution flow and performance of generative AI components within the software stack.
- System Performance Monitors - Provides low-level system probes to monitor CPU and network performance for deep technical diagnosis.
- Monitoring And Tracing - Distributed tracing system for monitoring microservices and cloud-native architectures.
- Monitoring & APM - Distributed tracing and application performance monitoring.
Star history
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