opossum-prometheus
Statsd
Our great sponsors
| opossum-prometheus | Statsd | |
|---|---|---|
| 1 | 6 | |
| 20 | 17,475 | |
| - | 0.5% | |
| 0.0 | 5.1 | |
| 14 days ago | 3 months ago | |
| JavaScript | JavaScript | |
| Apache License 2.0 | MIT License |
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.
opossum-prometheus
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How to use a circuit breaker in Node.js
You can even set up monitoring for your circuit breaker, which will help you to stay on top whenever any of your partner APIs go south. You can learn more about monitoring from the official docs.
Statsd
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Building Cages - Creating better DX for deploying Dockerfiles to AWS Nitro Enclaves
statsD for metrics
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Elixir metrics and StatsD
StatsD is a network daemon that listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services.
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How to track profile page views per day, weekly, monthly and amount of times file was downloaded per product per day / week / month? - Without adding 1000+ database entries?
If you are essentially tracking an incremental number, statsd was made specifically for this task. It's lightning fast and you can setup different metrics for each scenario you mentioned.
- Help with getting started with Metrics, Logging and tracing
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Practical OCaml
It reads only 8 KB of data by default; this should be enough for StatsD metrics lines based on the StatsD documentation. Also, that's what Alan Ning's Rust implementation does.
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Introduction to StatsD
StatsD GitHub repository Scaling StatsD in DoorDash Netdata StatsD reference documentation
What are some alternatives?
metrics-filter - Simple service to filter prometheus metrics using allow/block-list
Collectd - The system statistics collection daemon. Please send Pull Requests here!
prometheus-explorer - A lightweight metrics explorer for Prometheus, with a focus on on-the-fly analysis.
prometheus - The Prometheus monitoring system and time series database.
qryn - qryn is a polyglot, high-performance observability framework for ClickHouse. Ingest, store and analyze logs, metrics and telemetry traces from any agent supporting Loki, Prometheus, OTLP, Tempo, Elastic, InfluxDB and many more formats and query transparently using Grafana or any other compatible client.
InfluxDB - Scalable datastore for metrics, events, and real-time analytics
opossum - Node.js circuit breaker - fails fast ⚡️
Graphite - A highly scalable real-time graphing system
swagger-stats - API Observability. Trace API calls and Monitor API performance, health and usage statistics in Node.js Microservices.
tcollector - Data collection framework for OpenTSDB
Diamond - Diamond is a python daemon that collects system metrics and publishes them to Graphite (and others). It is capable of collecting cpu, memory, network, i/o, load and disk metrics. Additionally, it features an API for implementing custom collectors for gathering metrics from almost any source.
Telegraf - The plugin-driven server agent for collecting & reporting metrics.