open-telemetry/opentelemetry-demo

Features

• Distributed Observability Simulations - Provides a simulated microservices environment to learn how to implement and analyze telemetry in a realistic system.
• Distributed Tracing - Provides a comprehensive environment for collecting and analyzing telemetry data across distributed service architectures.
• OpenTelemetry Reference Implementations - Provides a complete reference implementation of a distributed microservices environment for collecting and exporting telemetry.
• Application Metrics Collection - Measures system performance over time using standardized APIs and libraries to generate quantitative telemetry data.
• Zero-Code Instrumentation - Implements bytecode manipulation agents that enable telemetry collection without modifying application source code.
• Cluster Observability - Ships a pre-configured environment to demonstrate distributed tracing and monitoring specifically for services running within Kubernetes clusters.
• Telemetry Collectors - Provides standardized collectors that ingest and route observability data using vendor-neutral protocols.
• Distributed Trace Propagation - Implements shared context propagation across service boundaries to link traces, metrics, and logs.
• Tracing Context Propagation - Implements mechanisms for injecting and extracting distributed tracing headers to maintain request correlation across services.
• Polyglot Instrumentation Examples - Provides a distributed system implemented in multiple languages to showcase consistent, vendor-neutral instrumentation patterns.
• Telemetry - Provides standardized interfaces that decouple telemetry instrumentation from specific backend exporter implementations using vendor-neutral protocols.
• Application Logging - Records discrete events and text messages from the system to provide a detailed audit trail of execution.
• Distributed Observability Simulations - Deploys a microservice-based system to simulate how instrumentation, traces, and metrics operate in a realistic distributed environment.
• Log Aggregation - Centralizes log output from diverse polyglot services into a single stream for easier debugging and auditing.
• Telemetry Protocols - Uses standardized communication formats to transmit telemetry data, enabling the swapping of monitoring backends.
• System Metrics Collection - Gathers performance data and resource utilization from across a service mesh to monitor overall health and stability.
• Distributed Tracing - Implements distributed tracing to track request flows across service boundaries and identify performance bottlenecks.
• Tracing Troubleshooting Sandboxes - Provides a simulated system for practicing troubleshooting and interpreting telemetry signals across service boundaries.
• Telemetry Collection and Aggregation - Utilizes a unified set of APIs to collect, stream, and unify traces, metrics, and logs.
• Telemetry Collectors - Implements a reference architecture for routing observability data through collectors to various monitoring backends.
• Helm Chart Deployment - Uses Helm charts to deploy a pre-configured microservices environment with integrated observability components on Kubernetes.
• Instrumentation Simulations - Provides a distributed system of polyglot services to demonstrate telemetry implementation across different languages.
• Instrumentation Examples - Demonstrates consistent, vendor-neutral telemetry instrumentation across a polyglot architecture of microservices.
• Observability Architecture Blueprints - Provides architectural patterns and blueprints to connect telemetry components into a cohesive observability system.
• Automatic Framework Instrumentation - Captures traces, metrics, and logs from popular frameworks and libraries automatically without requiring manual code changes.
• Observability Backend Routing - Routes collected telemetry from multiple sources to a variety of external monitoring and observability backends.
• Telemetry Processing Engines - Provides a telemetry processing pipeline that filters and routes observability signals to optimize storage.
• OpenTelemetry Standard Integrations - Facilitates the use of vendor-neutral standards to transition legacy instrumentation to a standardized framework.
• Instrumentation Training Labs - Provides a practical environment for learning the integration of traces, metrics, and logs into polyglot applications.
• Observability Tool Integrations - Demonstrates how to route telemetry data from a distributed system to various third-party monitoring tools.
• Telemetry Interoperability Testing - Provides a standardized base for vendors and developers to verify the interoperability of various observability tools and SDKs.
• Telemetry Sampling Strategies - Implements configurable sampling strategies to reduce the volume of recorded traces and metrics.

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