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Tag: Monitoring and observability
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1–22 of 22 · Most stars

🔥 Error handling library with context, assertion, stack trace and source fragments

  • attributes
  • context
  • error
  • exception

🔐 An SSL library for configuring http client or server. Rich with features such as hot reloading ssl and trusting additional certificates during runtime, combining multiple keystores, loading pem files and os/jdk certificates, logging certificate information during ssl handshake, bypassing ssl configuration from other libraries and more

Rails Semantic Logger replaces the Rails default logger with Semantic Logger, so that Rails, your application code, and many common gems all log through structured logging instead of plain text.

This library provides a set of F# helpers for string manipulations, logging, collection data structures, file operations, text processing, security, async, parsing, diagnostics, configuration files and Json serialization.

A refined core library for D programming language. The module has concurrency / collections / event / io / logging / text / serialization and more.

Lightweight AI agent runtime for Go. Define multi-agent crews in YAML, run them with goroutines and channels, and let the runtime handle scheduling, parallelism, retries, and observability — without leaving the Go ecosystem.

One Go interface, five backends — filelock, flock, Redis, Postgres, etcd. Distributed locks with fencing tokens, semaphore mode, observability hooks, and TraceID propagation. Swap backends with one line.

DLIA is an AI-powered Docker log monitoring agent that uses Large Language Models (LLMs) to intelligently analyze container logs, detect anomalies, and provide contextual insights over time.