open-telemetry/opentelemetry-dotnet

Features

• Application Performance Monitoring - Functions as a comprehensive system for tracking runtime errors and performance bottlenecks in .NET applications.
• Telemetry Collection and Aggregation - Provides the core infrastructure to gather traces, metrics, and logs from applications for analysis.
• Zero-Code Instrumentation - Provides deployment mechanisms that enable monitoring agents to be attached without modifying application source code.
• Telemetry Data Pipelines - Provides configurable layers for ingesting, parsing, and transforming raw observability data before routing to backends.
• Distributed Tracing - Provides a framework for recording and visualizing the lifecycle of requests as they traverse distributed microservices.
• Tracing Context Propagation - Provides mechanisms for injecting and extracting distributed tracing headers across network boundaries to maintain request correlation.
• Telemetry - Decouples instrumentation code from specific backend implementations through a standardized set of telemetry interfaces.
• Application Metric Tracking - Measures application performance and resource utilization through counters and histograms to track component health.
• Cloud Native Observability - Integrates logs, metrics, and traces into Kubernetes and serverless environments to maintain visibility across distributed infrastructure.
• Log Aggregation - Captures timestamped records of events to provide a detailed history of system activity.
• Unified Observability Ingestion - Links traces, metrics, and logs using a shared context to provide a unified view of a request's journey.
• System Metrics Collection - Captures native system-level performance metrics and time-series measurements of resource usage.
• Telemetry Processing Engines - Ships a processing engine that filters, enriches, and buffers observability signals through a pipeline before exporting.
• Observability Data Exporters - Implements utilities that transmit captured metrics and spans to external monitoring platforms.
• OpenTelemetry SDKs - Provides a set of libraries for generating and exporting traces, metrics, and logs from .NET applications using the OpenTelemetry standard.
• Telemetry Attribute Normalizers - Applies consistent naming conventions and attributes to telemetry data to ensure tool interoperability.
• Observability Data Routers - Forwards observability data from multiple sources to various open source or commercial backends based on rules.
• Cluster Observability - Provides integration to track health and performance of services orchestrated within Kubernetes environments.
• Serverless Telemetry - Tracks performance and telemetry specifically for Function-as-a-Service deployments across cloud vendors.
• Runtime Bytecode Instrumentation - Enables the modification of live bytecode in running processes to inject telemetry collection logic without source code changes.
• Telemetry Configuration Schemas - Defines telemetry behavior and pipeline settings using a structured schema to ensure consistent environment setup.
• Declarative Configuration Schemas - Allows telemetry behavior and policies to be defined using structured configuration files to avoid custom code.
• Manual Telemetry Instrumentation - Offers capabilities for explicit, developer-controlled event triggering to supplement automatic data collection.
• Telemetry Implementation Patterns - Provides architectural patterns and reference implementations for deploying scalable telemetry pipelines.
• Observability Tool Integrations - Ensures interoperability by connecting instrumentation data with external monitoring tools and protocols.
• Batch Export Utilities - Implements mechanisms for buffering and exporting telemetry data in batches to optimize network performance.
• Custom Telemetry Extensions - Enables the implementation of custom instrumentation, exporters, and samplers via a plugin-based extension system.
• Telemetry Sampling Strategies - Reduces trace volume using configurable sampling strategies to minimize system overhead and storage costs.
• Cross-Signal Correlations - Links traces, metrics, and logs using a shared context to provide a unified view of request journeys.
• Observability and Monitoring - Standardized framework for collecting and exporting application telemetry data.

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