apache/incubator-skywalking

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.

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