OpenTelemetry Logs - A Complete Introduction & Implementation

This page summarizes the projects mentioned and recommended in the original post on dev.to

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • signoz

    SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. 🔥 🖥. 👉 Open source Application Performance Monitoring (APM) & Observability tool

  • OpenTelemetry provides instrumentation for generating logs. You then need a backend for storing, querying, and analyzing your logs. SigNoz, a full-stack open source APM is built to support OpenTelemetry natively. It uses a columnar database - ClickHouse for storing logs effectively. Big companies like Uber and Cloudflare have shifted to ClickHouse for log analytics.

  • opentelemetry-specification

    Specifications for OpenTelemetry

  • OpenTelemetry provides instrumentation libraries for your application. The development of these libraries is guided by the OpenTelemetry specification. The OpenTelemetry specification describes the cross-language requirements and design expectations for all OpenTelemetry implementations in various programming languages.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • opentelemetry-collector-contrib

    Contrib repository for the OpenTelemetry Collector

  • System logs are the logs generated by the operating system. With SigNoz you can collect your syslogs logs and perform different queries on top of it. OpenTelemetry collector provides a syslogreceiever to receive System logs.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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