Elixir の application を Mackerel で監視する - c4se記：さっちゃんですよ☆
Mackerel Advent Calendar 2019 - Qiita 12/11 以前にKubernetes 上で動く Elixir アプリを監視するを書いた。これが完成した。 確かに Erlang/Elixir の system は落ちない。programmer が落ちないやうに書けば落ちなく出來るからだ。基本的な道具は BEAM VM (Erlang VM) と Supervisor の木である。 勿論落ちる事は在る。tuple の入れ子が深過ぎて SEGV したり、memory を使ひ過ぎて OOM Killer に落とされたりだ。memory の使ひ過ぎは、ETS からの data copy (通常の代入や message passing と違ひ、同じ data でも毎囘 copy される)、:erlang.binary_to_term/2 (理由は ETS のに近い)、at
Kubernetes上のマイクロサービスを分散トレースする - Qiita
TL;DR; 分散トレーシングシステムの４要素を理解する 分散トレーシングシステムの「バックエンド」と「それ以外」は分けて選択してもいい 一例として、分散トレーシングシステムのバックエンドとしてDatadog APM、クライアントライブラリとしてOpenTracing Tracer、PropagationフォーマットとしてB3、SpanフォーマットとしてZipkin v1を採用すると楽 アプリの設定例だけ知りたい方はここから読んでください 何がうれしいの? Zipkinの運用保守 枯れてないトレーサのバグや機能不足という悩み ログ・メトリクス・トレースそれぞれ別のサービスに見に行く手間 などから解放されます。 分散トレースといったらZipkinなんでしょ? そんなことはありません。 実際、Zipkinをデプロイせずに、Zipkin以外のサービスにZipkinトレースを集約・閲覧することがで
Monitoring Kubernetes with Prometheus and Grafana
When running workloads on Kubernetes in Azure you probably want some insights in how your cluster and pods are behaving. In this blogpost I will setup Prometheus and Grafana to get a dashboard going. This post assumes you have a Kubernetes cluster running and configured kubectl to connect to it. Installing PrometheusLets start with deploy the configuration for Prometheus using a config map using :
Getting started with OpenFaaS on minikube
This is a guide on how to setup OpenFaaS — Serverless Functions Made Simple on Kubernetes 1.8 or later with minikube. minikube is a Kubernetes distribution which lets you run a Kubernetes cluster on your laptop — it’s available for Mac and Linux, but is most commonly used with MacOS. OpenFaaS in 2021:Quite a lot has changed since this blog post was written. KinD, Multipass and K3d all provide ligh
Custom Kubernetes Scheduler with Monitoring Metrics | Sysdig
This article covers the use case of creating a custom Kubernetes scheduler and implements an example using monitoring metrics coming from Sysdig: system, network, services, statsd, JMX or Prometheus metrics. UPDATE: There is a new and more complete implementation of the custom Kubernetes scheduler using Golang. The default Kubernetes scheduler does a fantastic job for most typical workloads. Start
Containers | Microsoft Azure Blog | Microsoft Azure
Explore Azure Get to know Azure Discover secure, future-ready cloud solutions—on-premises, hybrid, multicloud, or at the edge Global infrastructure Learn about sustainable, trusted cloud infrastructure with more regions than any other provider Cloud economics Build your business case for the cloud with key financial and technical guidance from Azure Customer enablement Plan a clear path forward fo
Volume Monitoring in Kubernetes with Prometheus
Argo workflows create pods and deployments on Kubernetes. When running on AWS, we use EBS for volumes. AWS provides some basic volume metrics but only down to a 5 minute granularity and does not provide any filesystem-level stats, making it hard, for example, to tell how much of the volume capacity was actually being used. To address these issues, we decided to add our own monitoring usingiostats
Kubernetes monitoring with Prometheus in 15 minutes
If you have not heard of Kubernetes (or its commonly known name K8s), it’s time to get out of your cave. K8s is an open-source self-healing platform to deploy, scale and operate containers. Originally designed by Google (inspired by Borg) and later donated to the CNCF. Understanding all the k8s components is not trivial, it takes time to have full control in such a sophisticated and powerful platf
Kubernetes with Prometheus
Kubernetes Meetup Tokyo #7 https://k8sjp.connpass.com/event/67092/
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