Projects sharing features with Opencensus Go

The OpenTelemetry .NET SDK is a set of libraries used to generate and export traces, metrics, and logs from .NET applications. It functions as an application performance monitoring tool and a distributed tracing implementation, providing the necessary infrastructure to capture system metrics and request paths across microservices. The project includes a zero-code instrumentation library that automatically captures telemetry from popular .NET frameworks without requiring manual changes to source code. It uses a provider-based API abstraction to decouple instrumentation from specific backend im

Pyroscope is a continuous profiling platform designed to collect, store, and visualize application performance data. It functions as an application performance management suite that tracks historical resource usage to identify bottlenecks and detect performance regressions over time. The platform distinguishes itself through its use of kernel-level instrumentation and dynamic runtime hooks, which allow for performance monitoring without requiring manual code modifications or application restarts. It employs a sidecar agent architecture to offload telemetry processing, utilizing delta-encoded

OpenTelemetry PHP is a standard-compliant observability framework designed to instrument applications for the collection and export of telemetry data. It provides a comprehensive suite of tools for capturing traces, metrics, and logs, enabling developers to monitor operational behavior and system performance in real time. The project distinguishes itself through an interface-driven plugin architecture that allows for the modular configuration of exporters, processors, and samplers. To maintain performance in production environments, it supports the use of native binary extensions for data ser

Cat is a distributed application performance monitoring tool and tracing framework designed to track transactions, latency, and health across distributed services. It functions as a Kubernetes-native monitoring stack that utilizes multi-language monitoring clients and a real-time alerting system to maintain system visibility. The system provides monitoring clients for Java, Go, Python, Node.js, and C++ to collect performance metrics and trace data. It distinguishes itself by sampling request flows to record call chains and identify bottlenecks, while using a monitoring engine to trigger immed

Pinpoint is a distributed application performance monitoring and tracing system. It functions as an application performance monitor and topology visualizer designed to analyze the execution behavior of large-scale distributed applications. The system uses bytecode instrumentation to monitor applications without requiring changes to the original source code. It captures call stacks and request flows across interconnected services to visualize system dependencies and generate real-time architectural maps of communication patterns. The platform covers a broad range of observability capabilities

OpenTelemetry Go is a framework for generating and collecting distributed traces, metrics, and logs from Go applications. It provides a standardized telemetry instrumentation API for adding observability markers to code and a corresponding SDK for processing and emitting these signals. The project utilizes a configurable observability pipeline to sample and export telemetry data to external backends using the OTLP wire protocol. It features a pluggable export system and a separation between the public API and the SDK implementation, allowing telemetry to be routed to third-party platforms wit

Zipkin is an open-source distributed tracing system designed to collect, store, and visualize timing data across complex service architectures. It provides a platform for monitoring request lifecycles, enabling developers to identify latency bottlenecks and performance issues by tracking operations as they move through heterogeneous service environments. The system distinguishes itself through a standardized data model and a pluggable storage architecture that supports various backend databases. It utilizes sampling strategies to manage telemetry volume and employs asynchronous collection met

This project is a set of hands-on labs for practicing cloud development, focusing on implementing web apps, functions, storage solutions, and containerized workloads. It provides a practical framework for developing solutions within the Azure ecosystem. The content covers a wide range of specialized cloud capabilities, including serverless development with HTTP and timer triggers, container orchestration using apps and instances, and API management for routing and transforming traffic. It also emphasizes identity and access management through OpenID Connect and managed identities. Additional

Snowflake is a high-concurrency RPC framework and distributed ID generation service. It provides the infrastructure to create unique, time-ordered identifiers across a network of servers and facilitates the development of network services designed to handle massive volumes of simultaneous requests. The system separates low-level transport logic from application behavior, allowing for the implementation of custom RPC protocols. It includes a distributed request tracing tool to visualize execution flow across network boundaries and a server lifecycle management interface to adjust logging level

FastStream is an asynchronous Python framework designed for building event-driven microservices. It provides a unified abstraction layer for interacting with various message brokers, enabling developers to manage event production and consumption through a consistent interface while maintaining access to native provider-specific features. The framework centers on a decorator-based routing model that binds application logic directly to broker topics, supported by a built-in dependency injection container that resolves resources at runtime. The framework distinguishes itself through its deep int

This library provides a toolkit for instrumenting Go applications with performance metrics, enabling the tracking of counters, gauges, and timers. It serves as a foundational framework for recording application behavior and resource usage, offering thread-safe primitives to manage the lifecycle of these instruments within a central registry. The system distinguishes itself through a high-performance design that utilizes atomic operations to track event frequencies, avoiding the overhead of mutex locks during execution. It employs snapshot-based sampling to capture point-in-time data, ensuring

The server acts as a centralized ingestion engine designed to collect, normalize, and index distributed telemetry data. It functions as a backend processor that receives performance metrics, traces, and error logs from application agents, transforming them into structured documents for storage and analysis within search and analytics platforms. The system distinguishes itself through a high-throughput ingestion pipeline that utilizes asynchronous event processing and backpressure-aware flow control to maintain stability during traffic spikes. It employs modular, plugin-based transformation st

This is a learning collection of example projects that demonstrate core Spring Cloud patterns for building microservice architectures. The repository covers the fundamental building blocks of a microservices system, including service discovery through a central registry, centralized configuration management from Git or SVN repositories, API gateway-based request routing, circuit breaker patterns for fault tolerance, and distributed request tracing across service boundaries. The examples show how to implement service registration and dynamic discovery so that clients can locate microservices b

This library provides a toolkit for instrumenting Go applications to track performance data, including counters, gauges, and timers. It serves as a centralized facility for collecting, storing, and exporting runtime metrics to external monitoring and telemetry platforms. The project distinguishes itself through a pluggable architecture that decouples application instrumentation from specific output formats. It manages metric data through a registry that supports concurrent updates and provides granular control over data volume by filtering metric labels before transmission. To support operati

This project is a structured tracing framework for Rust that serves as an async-aware instrumentation library and telemetry data collector. It provides a structured logging facade and the tools necessary to record, filter, and route event-based diagnostic data from both standard applications and embedded systems. The framework distinguishes itself through a core implementation that supports bare-metal and no-standard-library environments without requiring a dynamic memory allocator. It specifically handles the complexities of asynchronous workflows by propagating diagnostic contexts across fu

This project is a comprehensive enterprise architecture for building multi-tenant distributed systems, implemented as a Spring Cloud microservices platform. It provides a complete framework for managing microservices, focusing on multi-tenant data architecture and centralized identity provision. The platform is distinguished by its integrated approach to identity and security, utilizing an OAuth2 identity provider to manage single sign-on, role-based access control, and JWT token issuance across distributed services. It further separates organizational boundaries through multi-tenant data iso

DoraemonKit is a mobile frontend development toolset designed to optimize the lifecycle of web and hybrid mobile applications. It functions as a comprehensive suite of productivity tools, providing specialized utilities for mobile UI inspection, web view debugging, and on-device performance monitoring. The toolset distinguishes itself through several targeted simulation and interception capabilities. It includes a network traffic interceptor for mocking API responses without modifying source code, a device state simulator for overriding GPS coordinates, and a mobile web debugging bridge that

Pinpoint is a distributed application performance management tool designed to trace requests and monitor metrics across large-scale distributed architectures. It functions as a request tracer, topology mapper, and JVM application monitor, providing a backend capable of collecting and visualizing trace data from OpenTelemetry compatible sources. The system distinguishes itself through a combination of bytecode-based instrumentation via a Java agent and topology-based visualization that renders live maps of service interconnections. It captures execution flow across asynchronous boundaries, suc

This project provides a collection of extensions for the OpenTelemetry Go software development kit, serving as a toolkit for automated instrumentation, context propagation, and telemetry pipeline management. It enables the capture of traces, metrics, and logs across distributed systems by providing unified interfaces that decouple data collection from specific backend storage or analysis platforms. The project distinguishes itself through its ability to inject telemetry collection into popular frameworks and libraries without requiring manual source code modifications. It maintains request co

Easy Profiler is a performance profiling library for C++ applications designed to measure execution duration and identify bottlenecks. It provides a framework for instrumenting code blocks to track performance metrics, allowing for the analysis of thread activity and system behavior through detailed timeline visualization. The library distinguishes itself by utilizing scope-based instrumentation to automatically track code lifecycles, minimizing manual overhead. It employs thread-local buffering and asynchronous data flushing to reduce synchronization contention, ensuring that performance dat

The diagnostics project provides a cross-platform diagnostic infrastructure and command-line toolkit for monitoring runtime performance, analyzing memory dumps, and troubleshooting applications. It features a custom inter-process communication protocol for command and telemetry exchange across platforms, a low-overhead event pipe mechanism for streaming real-time diagnostic events and performance counters from running processes, and automated remote symbol resolution for stack trace analysis. The platform includes native debugger extensions that integrate with standard debuggers to inspect ma

DeepFlow is an eBPF observability platform that provides a suite for continuous profiling, distributed tracing, service dependency mapping, and unified telemetry storage. It functions as a monitoring system that collects metrics, traces, and profiles without requiring manual application instrumentation or modifications to source code. The platform distinguishes itself through the use of protocol-aware packet parsing to reconstruct request chains and automated service dependency mapping to visualize interactions between applications and infrastructure. It utilizes a telemetry data store design

Weaver is a distributed application framework and remote procedure call system that allows developers to organize logic into independent components. It provides a multi-process execution environment where these components communicate via automated serialization, enabling applications to run as a single unit locally or as a distributed system across multiple cloud machines. The framework distinguishes itself through a configuration-driven topology mapping that allows the same logic to execute as a local function call or a remote network request without altering the business logic. It includes

FlutterFire is a collection of official plugins that integrate Firebase backend services into Flutter applications. It serves as a backend-as-a-service integration library, providing client-side wrappers for cloud authentication, databases, storage, and monitoring services. The project enables the integration of serverless backend logic and real-time data synchronization using NoSQL documents and state synchronization. It also provides capabilities for generative AI integration, including large language models, image generation, and local machine learning model management. The suite covers a

This project is a performance analysis tool for Ruby applications using the Rack interface. It monitors request execution times and resource usage, serving as a profiler for web applications to measure latency and identify bottlenecks. The tool provides specific analyzers for database query performance, memory allocations, and garbage collection statistics. It generates call stack flamegraphs to visualize time distribution across methods and renders speed badges and timing metrics directly onto HTML pages. The system covers broader performance profiling capabilities including custom code blo

brpc is a high-performance C++ RPC framework and network programming library designed for building distributed systems. It functions as a multi-protocol RPC server capable of hosting and detecting multiple communication protocols, including gRPC, Thrift, HTTP, Redis, and Memcached, on a single TCP port. The project distinguishes itself through high-throughput data transport and memory efficiency, utilizing RDMA-based transport to bypass the kernel TCP stack and zero-copy memory management to eliminate data duplication. It also implements the Raft algorithm for consensus-based state replicatio

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 performanc