hypertrace
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hypertrace

Description: An open source distributed tracing & observability platform

View hypertrace/hypertrace on GitHub ↗

Summary Information

Updated 30 minutes ago
Added to GitGenius on April 10th, 2022
Created on July 8th, 2020
Open Issues/Pull Requests: 76 (+0)
Number of forks: 31
Total Stargazers: 519 (+0)
Total Subscribers: 13 (+0)
Detailed Description

Hypertrace is an open-source project designed to provide observability and tracing for modern distributed applications. Developed by Uber, it aims to solve challenges related to understanding complex microservices architectures. The repository on GitHub offers comprehensive tools that help developers visualize the flow of requests through a system, identify bottlenecks, and diagnose issues in real time.

The key feature of Hypertrace is its ability to collect, correlate, and analyze telemetry data across services, providing a unified view of transactions across an entire ecosystem. By aggregating metrics from various sources, it facilitates performance monitoring and troubleshooting with more precision than traditional logging or monitoring tools can provide alone. The repository includes components like agents, collectors, storage backends, and UI dashboards that work together to support this functionality.

Hypertrace leverages OpenTelemetry as its primary framework for collecting telemetry data, ensuring compatibility with a wide range of programming languages and platforms. This integration allows it to capture traces, metrics, and logs in a standardized format, making it easier to ingest and process the data. By using these open standards, Hypertrace provides flexibility and extensibility, allowing organizations to customize their observability stack according to specific needs.

The repository is structured to cater to various components involved in distributed tracing. It includes agents that run on service nodes to collect telemetry data and send it to collectors for aggregation. The collected data is then stored in a backend solution, which can be Elasticsearch or other supported databases. This design ensures scalability and reliability, allowing the system to handle large volumes of telemetry data efficiently.

In addition to technical documentation, the repository provides sample configurations, deployment scripts, and guidelines for setting up Hypertrace in different environments, whether on-premises or in cloud settings like Kubernetes clusters. The community around Hypertrace actively contributes to its development, offering support through issue tracking, pull requests, and discussions on GitHub.

Overall, the Hypertrace project is a robust solution for organizations looking to gain deeper insights into their distributed systems. By providing detailed visibility into service interactions, it helps developers optimize performance, improve reliability, and accelerate the identification of issues, ultimately enhancing end-user experience.

hypertrace
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hypertracehypertrace/hypertrace

Repository Details

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