youTubeStream
prometheus
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youTubeStream | prometheus | |
---|---|---|
1 | 381 | |
2 | 52,748 | |
- | 1.6% | |
2.6 | 9.9 | |
almost 3 years ago | 1 day ago | |
C++ | Go | |
- | Apache License 2.0 |
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.
youTubeStream
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The unbearable fussiness of the smart home
Au contraire - your setup is way more sophisticated than mine.
I have some 433MHz kit, plus a bundle of various arduinos, but (for me) the complexity of getting them to talk back to base has kept me procrastinating for years.
The ESP8266/ESP32 devices, with WiFi built-in, are effectively the same price as arduinos (here in AU, via ebay) but so much more convenient because of that extra memory + the wifi. I'm going to have some frustration with the 3 vs 5 volt, especially with some of the more esoteric components, but so far it's been a breeze to setup.
As Outworlder observes, my back-end is way more complex than a normal human would need - I'm replicating a stack we use at work, so it's basically taking up a bit of space on my home lab. Cortex is for a serious (enterprisey) amount of long-term storage of time-series metrics. Prometheus is easy enough to set up - it scrapes web end points that contain key / value pairs in plain text, and puts those in its own time series data store. Sqlite will scale just as well, I'm sure.
If you have the bandwidth, I can recommend playing with some of these things, just in case they may make your life easier later. Prometheus (server) will run on a Raspbery Pi easy enough.
https://github.com/G1Tech/youTubeStream/blob/master/promethe...
That's a code fragment to run on an ESP and present a prometheus-compatible end point with a handful of key/value pairs - if you have a spare ESP, run it up, and hit the endpoint to see what I mean. The simplicity is compelling.
If / when I go down the path of custom components plugged into arduinos - and I'd like to one day build something to measure the levels in my rainwater tanks - I think that I'd try to get those data back into an intermediary device (esp or RPi) that could present them in this opentelemetry format, as it would make it easier to swap things around in the future.
Grafana is fantastic, and can produce some gorgeous visualisations from Prometheus (and other) sources. You may even be able to get it doing something with your sqlite DB.
Running up a monitoring agent (Prometheus' node_exporter, or InfluxDB's telegraf - functionally very similar) on your laptop may be a good way to experiment with live data and visualisations with low-effort. (Note that Telegraf will by default try to push into an InfluxDB -- I'm not a huge fan of InfluxDB -- but you can configure it to provide an otel / prometheus-compatible scrapable web endpoint instead.)
Ca
prometheus
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Fivefold Slower Compared to Go? Optimizing Rust's Protobuf Decoding Performance
WriteRequest::timeseries is a vector (https://github.com/prometheus/prometheus/blob/main/prompb/re...) and
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Tools for frontend monitoring with Prometheus
Developers widely use Prometheus as a system for operational monitoring and alerting for their projects. Here is a list of tools for monitoring frontend services with Prometheus.
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The power of the CLI with Golang and Cobra CLI
Just to give an example of the power of Go for CLI builds, you may have already used or at least heard of Docker, Kubernetes, Prometheus, Terraform, but what do they all have in common? They all have a large part of their usability via CLI and are developed in Go 🐿.
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On Implementation of Distributed Protocols
Distributed system administrators need mechanisms and tools for monitoring individual nodes in order to analyze the system and promptly detect anomalies. Developers also need effective mechanisms for analyzing, diagnosing issues, and identifying bugs in protocol implementations. Logging, tracing, and collecting metrics are common observability techniques to allow monitoring and obtaining diagnostic information from the system; most of the explored code bases use these techniques. OpenTelemetry and Prometheus are popular open-source monitoring solutions, which are used in many of the explored code bases.
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Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
Setting up monitoring for a system, especially one involving GRPC communication, provides crucial visibility into its operations. In this guide, we walked through the steps to instrument both a GRPC server and client with Prometheus metrics, exposed those metrics via an HTTP endpoint, and visualized them using Grafana. The Docker-Compose setup simplified the deployment of both Prometheus and Grafana, ensuring a streamlined process.
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Monitoring, Observability, and Telemetry Explained
Alerting and Notification: Select a tool with flexible alerting mechanisms to proactively detect anomalies or deviations from defined thresholds. Consider asking questions like "Does this tool offer customizable alerting options and support notification channels that suit our team's communication preferences?" A tool like Prometheus provides robust alerting capabilities.
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Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Prometheus
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Top 5 Docker Container Monitoring Tools in 2024
Prometheus is an open-source monitoring and alerting toolkit. It is designed to monitor highly dynamic containerized systems, making it an excellent choice for monitoring Docker containers and Kubernetes clusters.
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Install and Setup Grafana & Prometheus on Ubuntu 20.04 | 22.04/EC2
wget https://github.com/prometheus/prometheus/releases/download/v2.46.0/prometheus-2.46.0.linux-amd64.tar.gz
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
What are some alternatives?
Home Assistant - :house_with_garden: Open source home automation that puts local control and privacy first.
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
cortex - A horizontally scalable, highly available, multi-tenant, long term Prometheus.
skywalking - APM, Application Performance Monitoring System
Tasmota - Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at
Jolokia - JMX on Capsaicin
rtl_433 - Program to decode radio transmissions from devices on the ISM bands (and other frequencies)
Telegraf - The plugin-driven server agent for collecting & reporting metrics.
JavaMelody - JavaMelody : monitoring of JavaEE applications
Glowroot - Easy to use, very low overhead, Java APM
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
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