ko
prometheus
Our great sponsors
ko | prometheus | |
---|---|---|
28 | 374 | |
7,134 | 52,274 | |
3.3% | 1.5% | |
9.0 | 9.9 | |
5 days ago | 7 days ago | |
Go | Go | |
Apache License 2.0 | 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.
ko
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Distroless container images with Apko from Chainguard
Apko leverages the APK package format from Alpine and draws inspiration from ko, a fast container image builder for Go applications.
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What is the most common approach to configure a backend app?
- There're many resources available about containerizing an application, but I suggest you buildpacks or ko, which doesn't require writing a Dockerfile
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Tool to build Docker images
ko
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Golang Backend in Production
You don't need to write and manage Dockerfiles. Simply just use ko: https://github.com/google/ko (You also don't need Docker Engine)
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How to containerize your Go app in 10 minutes!
Or don't write a Dockerfile at all, and use ko: https://github.com/google/ko
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Containerd... Do I use Docker to build the container image? I miss the Docker Shim
Here is link number 1 - Previous text "ko"
Pretty much any tool works: docker, podman, kaniko, crane(if you're brave), ko... list goes on.
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`COPY --chmod` reduced the size of my container image by 35%
If you're using Go, I recommend https://github.com/google/ko (shameless plug), or for Java, use Jib.
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`COPY –chmod` reduced the size of my container image by 35%
I would recommend Google Ko if you are packaging Go apps: https://github.com/google/ko
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Building a docker image for a Go programm
Shameless plug for ko: https://github.com/google/ko
prometheus
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Observability at KubeCon + CloudNativeCon Europe 2024 in Paris
Prometheus
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4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
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Building an Observability Stack with Docker
After that, you will set up a metrics server container. It will use Prometheus.io, an open-source monitoring and alerting toolkit designed to collect, store, and query time series data, making it a tool for monitoring your systems' performance and health through metrics.
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Root Cause Chronicles: Quivering Queue
Thankfully KEDA operator was already part of the cluster, and all Robin had to do was create a ScaledObject manifest targeting the Dispatch ScaleUp event, based on the rabbitmq_global_messages_received_total metric from Prometheus.
- Diagnósticos usando dotnet-monitor + prometheus + grafana
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Prometheus Fundamentals (Lesson-01)
$ wget https://github.com/prometheus/prometheus/releases/download/v2.48.1/prometheus-2.48.1.linux-amd64.tar.gz
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Start your server remotely
I build the Tasmota firmware for the S31's nightly, and expose the Prometheus endpoint so I can also monitor the current used by these devices in real time with the data pushed to Grafana. I have ~30 of them in my home/homelab, and servers, appliances, sump pump, fans, etc. are all monitored by my S31 fleet.
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List of your reverse proxied services
Prometheus
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PM2 module to monitoring node.js application with export to Prometheus and Grafana
In most cases, applications use the combination of Prometheus + Grafana, which allows collect data and display it in the form of graphs and also to set up alerts for changes in any metrics.
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Exploring the OpenTelemetry Collector
Prometheus is one of the primary monitoring solutions. It works on a pull-based model: Prometheus scrapes compatible endpoints of your application(s) and stores them internally.
What are some alternatives?
metrics-server - Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.
skywalking - APM, Application Performance Monitoring System
Jolokia - JMX on Capsaicin
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
jaeger - CNCF Jaeger, a Distributed Tracing Platform
Performance Co-Pilot - Performance Co-Pilot
uptime-kuma - A fancy self-hosted monitoring tool
Collectd - The system statistics collection daemon. Please send Pull Requests here!