apache/skywalking

Features

• Application Performance Monitoring - Collects and analyzes metrics, traces, and logs to ensure application health and stability in production.
• Application Performance Monitoring Platforms - Provides a centralized platform for aggregating runtime metrics and error data across distributed software environments.
• Telemetry Data Pipelines - Implements a high-performance engine for the ingestion, processing, and aggregation of multi-source observability data.
• Topology Visualizers - Generates interactive maps representing relationships and dependencies between distributed microservices.
• Distributed Tracing - Tracks requests across distributed systems using unique identifiers to analyze performance and visualize execution flow.
• Distributed Request Tracers - Maps request flows and service dependencies across complex microservice architectures to identify bottlenecks.
• Telemetry Collection and Aggregation - Provides infrastructure for the transport, streaming, and unification of telemetry data from diverse agents.
• Performance Profiling Tools - Diagnoses CPU and network performance bottlenecks using eBPF-powered system profiling.
• eBPF Profilers - Captures low-level kernel and network events via eBPF to diagnose system bottlenecks.
• Service Dependency Mapping - Builds interactive maps of microservice dependencies by analyzing distributed trace identifiers.
• Telemetry Agents - Employs language-specific agents to collect performance data and forward it to a central collector.
• Telemetry Ingestion - Ingests and aggregates metrics, traces, and logs from diverse ecosystems using a unified pipeline.
• eBPF Profilers - Diagnoses CPU and network performance bottlenecks at the kernel level using extended Berkeley Packet Filter tools.
• Data Collection Agents - Gathers metrics, logs, and traces from distributed systems using language-specific runtime agents.
• Telemetry Query Languages - Executes specialized queries against processed metrics to retrieve performance and reliability data.
• Provider Integrations - Allows integration of new data receivers and storage backends via modular provider interfaces.
• Telemetry Processing Languages - Processes logs and metrics through a programmable pipeline using a domain-specific language.
• Extensible Processing Pipelines - Enables custom processing logic for observability and log data through extensible analysis pipelines.
• Modular Provider Interfaces - Provides a modular provider interface for integrating custom data receivers and storage backends at runtime.
• Storage Abstraction Layers - Implements a storage abstraction layer to decouple the telemetry engine from specific database backends.
• Alerting Systems - Configures alarm rules based on services or APIs to route notifications to third-party monitoring systems.
• Anomaly Detection - Uses machine learning to calculate metric baselines and automatically identify irregular system patterns.
• API Performance Monitoring - Provides query interfaces to fetch and analyze API-level performance metrics and health data.
• Log Processing Pipelines - Analyzes and structures unstructured log data using a dedicated processing language to extract metrics.
• Telemetry Protocols - Uses standardized protocols to transmit performance and reliability metrics to monitoring backends.
• Log Aggregation Pipelines - Collects, formats, and indexes distributed system logs through a high-performance processing pipeline.
• Observability Backends - Application performance monitoring system for distributed systems.
• Distributed Tracing - Observability platform for microservices and cloud-native environments.

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