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
Micrometer Application Observability
Vendor-neutral application observability facadeMicrometer provides a facade for the most popular observability systems, allowing you to instrument your JVM-based application code without vendor lock-in. Think SLF4J, but for observability. Integrated into FrameworksPopular frameworks that integrate with Micrometer include Helidon, Micronaut, Quarkus, and Spring. You can use the idioms and configura
Cloud Monitoring as a Service | Datadog
Product { this.openCategory = category; const productMenu = document.querySelector('.product-menu'); window.DD_RUM.onReady(function() { if (productMenu.classList.contains('show')) { window.DD_RUM.addAction(`Product Category ${category} Hover`) } }) }, 160); }, clearCategory() { clearTimeout(this.timeoutID); } }" x-init=" const menu = document.querySelector('.product-menu'); var observer = new Muta
Introducing Atlas
Various previous Tech Blog posts have referred to our centralized monitoring system, and we’ve presented at least one talk about it previously. Today, we want to both discuss the platform and ecosystem we built for time-series telemetry and its capabilities and announce the open-sourcing of its underlying foundation. How We Got HereWhile working in the datacenter, telemetry was split between an IT
Netflix at Velocity 2015: Linux Performance Tools
There are many performance tools nowadays for Linux, but how do they all fit together, and when do we use them? At Velocity 2015, I gave a 90 minute tutorial on Linux performance tools. I’ve spoken on this topic before, but given a 90 minute time slot I was able to include more methodologies, tools, and live demonstrations, making it the most complete tour of the topic I’ve done. The video and sli
Linux Performance Analysis in 60,000 Milliseconds
You log in to a Linux server with a performance issue: what do you check in the first minute? At Netflix we have a massive EC2 Linux cloud, and numerous performance analysis tools to monitor and investigate its performance. These include Atlas for cloud-wide monitoring, and Vector for on-demand instance analysis. While those tools help us solve most issues, we sometimes need to login to an instanc
性能問題の切り分け方法について考えてみる - ablog
つれづれなるままに、日ぐらしパソコンに向かひて、心にうつりゆくデータベースの性能問題の切り分け方法をそこはかとなく書き付くれば、あやしうこそ物狂ほしけれ。なエントリ（書きかけ）。一度、脳内をフラッシュしてからまとめるべし。 性能問題による影響 性能問題による影響を以下の2つに分類する。 システム全体が遅い 一部の処理が遅い 性能問題の原因 性能問題の原因を以下の2つに分類する。 交通量が多い 単純に交通量が多くて渋滞している 例）年末年始やお盆の帰省ラッシュやUターンラッシュ 経路の途中で詰まっている 車線減少や通行止めなどで渋滞している 例）年度末の工事による車線減少、飲酒の検問、交通事故による通行止めなどで経路のどこかで詰まっている 切り分け手順の分類 システム全体が遅いケースと一部の処理が遅いケースで切り分け手順は変わる。 切り分けはOSレイヤーとデータベースレイヤーの2つの観点から
MySQL for JSON: Generated Columns and Indexing - Compose Articles
Unlock innovation with highly secure, fully-managed Database-as-a-Service capabilities on IBM Cloud® IBM Cloud® Database-as-a-Service (DBaaS) services free developers and IT from complex and time-consuming tasks including deployment of infrastructure and database software, infrastructure operations, database software updates, and backup. IBM Cloud® Database SMEs deliver and maintain ready-to-use,
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Ruby, Python, PHP Get the performance monitoring insights you need without the hassle of mandatory sales calls or awaiting a response from a generic corporate support inbox for help on a complex onboarding process. Supported Technologies: Ruby (Rails, Sinatra, Sidekiq, and more) Python (Django, Flask, FastAPI, and more) PHP (Laravel, Symfony, and more) Elixir (Phoenix) Identify, Solve & Monitor: N
AWS News Blog
Build RAG applications with MongoDB Atlas, now available in Knowledge Bases for Amazon Bedrock Foundational models (FMs) are trained on large volumes of data and use billions of parameters. However, in order to answer customers’ questions related to domain-specific private data, they need to reference an authoritative knowledge base outside of the model’s training data sources. This is commonly ac
The two kinds of stats in PostgreSQL | PostgreSQL Addict
Every now and then, someone gets confused about resetting stats in PostgreSQL, and the impact it may have on planner and other parts of the database. Perhaps the documentation might be a tad more clear on this, because while it certainly can be confusing for those who never had to deal with stats in PostgreSQL before. But it's not just about newbies - I wrote a patch in this area for 9.3, and I ge
WEB系各社で使われている監視ツールまとめ - mikedaの日記
次世代 Web カンファレンスで監視について話すことになったので、ネタとしてWEB系各社で使っている監視ツールを調査中。 うちはこれ使ってるよ！！！ってのがあったら@mikedaにメンションください！ Cookpad Zabbix 昔はNagios+muninだけど台数増えて性能的に破綻した ビューはそのままじゃ辛いのでmunin風に表示するのを自作 StatusCake DataDog。サービス系、サーバに紐付かない系の監視に。DashBoard便利 waker。通知用。PagerDuty高い、と言ってryot_a_raiが秒で作ったらしい Kibana imon。独自のリアルタイムなサービス稼働状況表示ツール NewRelic 試し中なもの Real-User Monitoring : JSでbeacon飛ばしてfluentd -> BigQuery。Google SpreadShee
How to monitor NGINX
What is NGINX?NGINX (pronounced “engine X”) is a popular HTTP server and reverse proxy server. As an HTTP server, NGINX serves static content very efficiently and reliably, using relatively little memory. As a reverse proxy, it can be used as a single, controlled point of access for multiple back-end servers or for additional applications such as caching and load balancing. NGINX is available as a
僕らが日々使っているproteus-monitorが公開されています＋インストール方法 - oranie's blog
詳しいアーキテクチャなどは今後おいおい・・・なんですが、とりあえず公開されていますよ、という紹介記事です。自分たちで使っているので言うのも何ですが、非常に素晴らしいツールで是非良かったら試してみて欲しいです。 何をするツールなのかというと、agent側で値を取って来てserver側でWeb画面表示させる、という書いてしまえば「ふーん」な感じなんですが、現在これでdstatの値等を取ってきて可視化しています。こんな感じです。とてもシャレオツです。 で、1台や2台だとあんまり威力が分からないかもですが、これが数十台や数百台の運用になってくると ・わざわざサーバにログインして見るとかﾘｰﾑｰ ・cactiやmuninもポーリングしている間隔で取れていないとかがあるので、「今この瞬間の全サーバの状況が知りたい！」という「おやじの全盛期は全日本の時か・・・オレは・・・オレは今なんだよ！」というのに向
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How to collect EC2 metrics
あなたの知らないPostgreSQL監視の世界
Application Performance | Google Cloud
Postgres performance at any scale | PostgreSQL Tuning - pganalyze
Monitoring 101: Investigating performance issues
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