nightingale vs siren

nightingale

An all-in-one observability solution which aims to combine the advantages of Prometheus and Grafana. It manages alert rules and visualizes metrics, logs, traces in a beautiful web UI. (by ccfos)

Source Code

flashcat.cloud

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siren

Siren provides an easy-to-use universal alert, notification, channels management framework for the entire observability infrastructure. (by raystack)

Prometheus Alerting Monitoring Influx dataops

Source Code

odpf.github.io

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nightingale		siren
	Project
3	Mentions	2
8,815	Stars	75
4.7%	Growth	-
9.6	Activity	0.0
3 days ago	Latest Commit	about 1 month ago
Go	Language	Go
Apache License 2.0	License	Apache License 2.0

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

nightingale

Posts with mentions or reviews of nightingale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2020-10-21.

Nightingale – Open-source alternative to Prometheus&Grafana
1 project | /r/bkup | 24 Aug 2023
Nightingale – Open-source alternative to Prometheus&Grafana
1 project | news.ycombinator.com | 22 Aug 2023
Gopher Gold #16 - Wed Oct 21 2020
14 projects | dev.to | 21 Oct 2020

didi/nightingale (Go): 💡 A Distributed and High-Performance Monitoring System

siren

Posts with mentions or reviews of siren. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-21.

Modern open-source data platform that empowers organizations to discover, transform, analyse and secure data faster and efficiently.
7 projects | /r/dataengineering | 21 Jun 2022

Siren provides an easy-to-use universal alert, notification, channels management framework for the entire observability infrastructure.
Incident management system to work with Prometheus alerts for NOC, DevOps, SRE, SOC on shift
1 project | /r/PrometheusMonitoring | 15 Sep 2021

We built https://github.com/odpf/siren for that purpose "to provide a good enough self-serve API" to work with alerts 24*7. We've been using it in prod of some time and it has served us pretty well. We also have an internal UI for incident management.

What are some alternatives?

When comparing nightingale and siren you can also consider the following projects:

bubbletea - A powerful little TUI framework 🏗

prometheus-operator - Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes

influxdb - Scalable datastore for metrics, events, and real-time analytics [Moved to: https://github.com/influxdata/influxdb]

prometheus - The Prometheus monitoring system and time series database.

tidb - TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://tidbcloud.com/free-trial

firehose - Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.

PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨

meteor - Meteor is an easy-to-use, plugin-driven metadata collection framework to extract data from different sources and sink to any data catalog.

InfluxDB - Scalable datastore for metrics, events, and real-time analytics

guardian - Guardian is universal data access management tool with automated access workflows and security controls across data stores, analytical systems, and cloud products.

Pion WebRTC - Pure Go implementation of the WebRTC API

optimus - Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.