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logary/logary

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532 stars·67 forks·F#·3 viewsdocs.logary.tech↗

Logary

Logs and metrics are one! Professional logging, metrics and analytics for your apps.

Features

  • Data Collection Agents - High-performance logging and metric library.
  • Logging and Monitoring - High-performance logging, metrics, and tracing for microservices.
  • Logging and Configuration - High-performance logging and metrics library.

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Frequently asked questions

What does logary/logary do?

Logs and metrics are one! Professional logging, metrics and analytics for your apps.

What are the main features of logary/logary?

The main features of logary/logary are: Data Collection Agents, Logging and Monitoring, Logging and Configuration.

What are some open-source alternatives to logary/logary?

Open-source alternatives to logary/logary include: uptrace/uptrace — Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces,… zenml-io/zenml — ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning… abc-arbitrage/zerolog — A high-performance, zero-allocation .NET logging library. bbc-news/cloudwatch-sender — Retrieves metrics from Cloudwatch and sends them to InfluxDB / Graphite . alexbeletsky/elmah-mvc — Painless integration of ELMAH into ASP.NET MVC application. att-innovate/charmander — Charmander Scheduler Lab.

Open-source alternatives to Logary

Similar open-source projects, ranked by how many features they share with Logary.
  • uptrace/uptraceuptrace avatar

    uptrace/uptrace

    4,098View on GitHub↗

    Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

    Goapmapplication-monitoringclickhouse
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  • zenml-io/zenmlzenml-io avatar

    zenml-io/zenml

    5,451View on GitHub↗

    ZenML is an orchestration platform designed for building, deploying, and monitoring reproducible machine learning pipelines and agentic workflows. It provides a unified framework that manages the entire lifecycle of machine learning assets, from data processing and model training to the deployment of persistent inference services. By decoupling pipeline logic from underlying compute and storage, the platform enables teams to transition workflows seamlessly from local development environments to production-grade cloud infrastructure. The platform distinguishes itself through a service-oriented

    Pythonagentopsagentsai
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  • alexbeletsky/elmah-mvcalexbeletsky avatar

    alexbeletsky/elmah-mvc

    262View on GitHub↗

    Painless integration of ELMAH into ASP.NET MVC application

    C#
    View on GitHub↗262
  • att-innovate/charmanderatt-innovate avatar

    att-innovate/charmander

    67View on GitHub↗

    Charmander Scheduler Lab

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    View on GitHub↗67
See all 30 alternatives to Logary→