{"id":25627,"date":"2023-06-06T22:09:04","date_gmt":"2023-06-06T20:09:04","guid":{"rendered":"https:\/\/www.dbi-services.com\/blog\/?p=25627"},"modified":"2024-09-11T10:18:39","modified_gmt":"2024-09-11T08:18:39","slug":"prometheus-vs-victoriametrics","status":"publish","type":"post","link":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/","title":{"rendered":"Prometheus vs VictoriaMetrics"},"content":{"rendered":"\n<p>As I went through many monitoring tools recently, I found that Prometheus is a de facto standard. At least from the way it is working. It is even a so strong standard that other Time Series Database (TSDB), like <a href=\"https:\/\/victoriametrics.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">VictoriaMetrics<\/a>, have same API interfaces. As VictoriaMetrics claims it, it is more storage and memory efficient.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Avalanche of Metrics<\/h2>\n\n\n\n<p>My first test will focus on memory efficiency. For that, I will use <a href=\"https:\/\/github.com\/prometheus-community\/avalanche\" target=\"_blank\" rel=\"noreferrer noopener\">avalanche<\/a> which allows to generate lots of metrics with few hosts. Let&#8217;s create a dashboard in Grafana as it can query Prometheus of VictoriaMetrics indifferently. I choose the following metrics which exist for both self-monitoring exporter (aka. meta-monitoring):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>go_memstats_alloc_bytes<\/li>\n\n\n\n<li>process_resident_memory_bytes<\/li>\n<\/ul>\n\n\n\n<p>Then, I declared 4 targets pointing to avalanche containers and started them.<\/p>\n\n\n\n<p>After 35 minutes, dashboard looks like this:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"583\" height=\"642\" src=\"http:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-10_23_55-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox.png\" alt=\"\" class=\"wp-image-25632\" srcset=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-10_23_55-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox.png 583w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-10_23_55-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox-272x300.png 272w\" sizes=\"auto, (max-width: 583px) 100vw, 583px\" \/><\/figure>\n\n\n\n<p>As you can see, VictoriaMetrics consume at most 1GB memory and Prometheus continuously increases. It was even killed by Out-Of-Memory Killer (probably because it is not alone on server):<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nOut of memory: Killed process 4061 (prometheus) total-vm:5343368kB, anon-rss:3642424kB, file-rss:0kB, shmem-rss:0kB, UID:65534 pgtables:8624kB oom_score_adj:0\n<\/pre><\/div>\n\n\n<p>Comparing storage is not showing what I was hoping:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>For Prometheus:<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: bash; title: ; notranslate\" title=\"\">\n$ du -sh \/prometheus\/*\n11.8M   \/prometheus\/chunks_head\n0       \/prometheus\/lock\n20.0K   \/prometheus\/queries.active\n158.5M  \/prometheus\/wal\n<\/pre><\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>VictoriaMetrics:<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: bash; title: ; notranslate\" title=\"\">\n$ du -sh \/victoria-metrics-data\/*\n89.7M   \/victoria-metrics-data\/cache\n162.9M  \/victoria-metrics-data\/data\n0       \/victoria-metrics-data\/flock.lock\n288.8M  \/victoria-metrics-data\/indexdb\n0       \/victoria-metrics-data\/metadata\n4.0K    \/victoria-metrics-data\/prometheus.yml\n0       \/victoria-metrics-data\/snapshots\n0       \/victoria-metrics-data\/tmp\n<\/pre><\/div>\n\n\n<p>Despite what I was expecting, VictoriaMetrics uses more disk space than Prometheus.<\/p>\n\n\n\n<p>At this stage, I was not very satisfied with this setup, so I decided to deploy an infrastructure on the cloud (with <a href=\"https:\/\/www.dbi-services.com\/products\/yak\/\" target=\"_blank\" rel=\"noreferrer noopener\">YaK<\/a> of course):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>1 host for Prometheus<\/li>\n\n\n\n<li>1 host for Victoria-Metrics<\/li>\n\n\n\n<li>1 host for Avalanche<\/li>\n<\/ul>\n\n\n\n<p>Only Grafana will stay in my WSL setup.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Going to the Cloud<\/h2>\n\n\n\n<p>I imported the official <a href=\"https:\/\/grafana.com\/grafana\/dashboards\/10229-victoriametrics\/\" target=\"_blank\" rel=\"noreferrer noopener\">VictoriaMetrics dashboard<\/a> which includes lots of interesting panels. For example, I can see that memory related panel matches why is in my own dashboard:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"940\" height=\"295\" src=\"http:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-16_20_10-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox.png\" alt=\"\" class=\"wp-image-25651\" srcset=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-16_20_10-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox.png 940w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-16_20_10-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox-300x94.png 300w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-16_20_10-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox-768x241.png 768w\" sizes=\"auto, (max-width: 940px) 100vw, 940px\" \/><\/figure>\n\n\n\n<p>This dashboard even displays capacity planning showing an estimate of when partition will be full:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"933\" height=\"290\" src=\"http:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-17_47_40-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox.png\" alt=\"\" class=\"wp-image-25652\" srcset=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-17_47_40-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox.png 933w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-17_47_40-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox-300x93.png 300w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-17_47_40-VictoriaMetrics-Dashboards-Grafana-\u2014-Mozilla-Firefox-768x239.png 768w\" sizes=\"auto, (max-width: 933px) 100vw, 933px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Storage<\/h3>\n\n\n\n<p>After an uptime of 2h, VictoriaMetrics finally show his superiority on storage as well:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Prometheus (1.8 Gb total)<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: bash; title: ; notranslate\" title=\"\">\n$ du -sh data\n1.8G    data\ndu -sh data\/*\n1.3G    data\/01H28TE1546ESM6Z8R66NW1JXX\n8.1M    data\/chunks_head\n0       data\/lock\n20K     data\/queries.active\n593M    data\/wal\n<\/pre><\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>VictoriaMetrics (1.2 Gb total)<\/li>\n<\/ul>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: bash; title: ; notranslate\" title=\"\">\n$ du -sh \/victoria-metrics-data\/\n1.2G    \/victoria-metrics-data\/\n$ du -sh \/victoria-metrics-data\/*\n76.7M   \/victoria-metrics-data\/cache\n472.3M  \/victoria-metrics-data\/data\n0       \/victoria-metrics-data\/flock.lock\n731.3M  \/victoria-metrics-data\/indexdb\n4.0K    \/victoria-metrics-data\/metadata\n0       \/victoria-metrics-data\/snapshots\n0       \/victoria-metrics-data\/tmp\n<\/pre><\/div>\n\n\n<h3 class=\"wp-block-heading\">CPU<\/h3>\n\n\n\n<p>Concerning CPU, I first had a look at a simple load average as I did not want to add even more load by adding monitoring over monitoring (MoM):<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Prometheus: <code>load average: 0.02, 1.31, 1.38<\/code><\/li>\n\n\n\n<li>VictoriaMetrics: <code>load average: 0.02, 0.04, 0.04<\/code><\/li>\n<\/ul>\n\n\n\n<p>Then, I found that both tools are gathering CPU metric <code>process_cpu_seconds_total<\/code>. As it is a counter (ie. cumulative), I need to apply a rate and as virtual machines have multiple cores, I must sum up result. This gives the following PromQL query:<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nsum by (cpu) (rate(process_cpu_seconds_total&#x5B;$__rate_interval]))\n<\/pre><\/div>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"412\" src=\"http:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-20_35_35-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox-1024x412.png\" alt=\"\" class=\"wp-image-25658\" srcset=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-20_35_35-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox-1024x412.png 1024w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-20_35_35-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox-300x121.png 300w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-20_35_35-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox-768x309.png 768w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-20_35_35-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox-1536x618.png 1536w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2023\/06\/2023-06-06-20_35_35-node_memory_Active_bytes-Dashboards-Grafana-\u2014-Mozilla-Firefox-2048x824.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Summary<\/h2>\n\n\n\n<p>To summarize, based on my experiments:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>VictoriaMetrics is limiting his memory usage compared to Prometheus which fill in host memory (Even if I consider free memory as lost memory)<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>VictoriaMetrics is almost invisible in regard to CPU usage<\/li>\n\n\n\n<li>Concerning storage, difference is increase as time passes<\/li>\n<\/ul>\n\n\n\n<p>In fine, VictoriaMetrics is consuming less resources.<\/p>\n\n\n\n<p>I did not focus on query performances, but that could be another blog post.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>As I went through many monitoring tools recently, I found that Prometheus is a de facto standard. At least from the way it is working. It is even a so strong standard that other Time Series Database (TSDB), like VictoriaMetrics, have same API interfaces. As VictoriaMetrics claims it, it is more storage and memory efficient. [&hellip;]<\/p>\n","protected":false},"author":40,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[197,1320],"tags":[143,2234,2979,2978],"type_dbi":[],"class_list":["post-25627","post","type-post","status-publish","format-standard","hentry","category-application-integration-middleware","category-devops","tag-monitoring","tag-prometheus","tag-tsdb","tag-victoriametrics"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.2 (Yoast SEO v27.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Prometheus vs VictoriaMetrics - dbi Blog<\/title>\n<meta name=\"description\" content=\"Is VictoriaMetrics as good as they are clam it to be?\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Prometheus vs VictoriaMetrics\" \/>\n<meta property=\"og:description\" content=\"Is VictoriaMetrics as good as they are clam it to be?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/\" \/>\n<meta property=\"og:site_name\" content=\"dbi Blog\" \/>\n<meta property=\"article:published_time\" content=\"2023-06-06T20:09:04+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-09-11T08:18:39+00:00\" \/>\n<meta name=\"author\" content=\"Middleware Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Middleware Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/\"},\"author\":{\"name\":\"Middleware Team\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/#\/schema\/person\/8d8563acfc6e604cce6507f45bac0ea1\"},\"headline\":\"Prometheus vs VictoriaMetrics\",\"datePublished\":\"2023-06-06T20:09:04+00:00\",\"dateModified\":\"2024-09-11T08:18:39+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/\"},\"wordCount\":441,\"commentCount\":0,\"keywords\":[\"Monitoring\",\"Prometheus\",\"TSDB\",\"VictoriaMetrics\"],\"articleSection\":[\"Application integration &amp; Middleware\",\"DevOps\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/\",\"url\":\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/\",\"name\":\"Prometheus vs VictoriaMetrics - dbi Blog\",\"isPartOf\":{\"@id\":\"https:\/\/www.dbi-services.com\/blog\/#website\"},\"datePublished\":\"2023-06-06T20:09:04+00:00\",\"dateModified\":\"2024-09-11T08:18:39+00:00\",\"author\":{\"@id\":\"https:\/\/www.dbi-services.com\/blog\/#\/schema\/person\/8d8563acfc6e604cce6507f45bac0ea1\"},\"description\":\"Is VictoriaMetrics as good as they are clam it to be?\",\"breadcrumb\":{\"@id\":\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\/\/www.dbi-services.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Prometheus vs VictoriaMetrics\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/#website\",\"url\":\"https:\/\/www.dbi-services.com\/blog\/\",\"name\":\"dbi Blog\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.dbi-services.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.dbi-services.com\/blog\/#\/schema\/person\/8d8563acfc6e604cce6507f45bac0ea1\",\"name\":\"Middleware Team\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/secure.gravatar.com\/avatar\/ddcae7ba0f9d1a0e7ae707f0e689e4a9c95bb48ec49c8e6d9cc86d43f4121cb6?s=96&d=mm&r=g\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/ddcae7ba0f9d1a0e7ae707f0e689e4a9c95bb48ec49c8e6d9cc86d43f4121cb6?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/ddcae7ba0f9d1a0e7ae707f0e689e4a9c95bb48ec49c8e6d9cc86d43f4121cb6?s=96&d=mm&r=g\",\"caption\":\"Middleware Team\"},\"url\":\"https:\/\/www.dbi-services.com\/blog\/author\/middleware-team\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Prometheus vs VictoriaMetrics - dbi Blog","description":"Is VictoriaMetrics as good as they are clam it to be?","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/","og_locale":"en_US","og_type":"article","og_title":"Prometheus vs VictoriaMetrics","og_description":"Is VictoriaMetrics as good as they are clam it to be?","og_url":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/","og_site_name":"dbi Blog","article_published_time":"2023-06-06T20:09:04+00:00","article_modified_time":"2024-09-11T08:18:39+00:00","author":"Middleware Team","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Middleware Team","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#article","isPartOf":{"@id":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/"},"author":{"name":"Middleware Team","@id":"https:\/\/www.dbi-services.com\/blog\/#\/schema\/person\/8d8563acfc6e604cce6507f45bac0ea1"},"headline":"Prometheus vs VictoriaMetrics","datePublished":"2023-06-06T20:09:04+00:00","dateModified":"2024-09-11T08:18:39+00:00","mainEntityOfPage":{"@id":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/"},"wordCount":441,"commentCount":0,"keywords":["Monitoring","Prometheus","TSDB","VictoriaMetrics"],"articleSection":["Application integration &amp; Middleware","DevOps"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/","url":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/","name":"Prometheus vs VictoriaMetrics - dbi Blog","isPartOf":{"@id":"https:\/\/www.dbi-services.com\/blog\/#website"},"datePublished":"2023-06-06T20:09:04+00:00","dateModified":"2024-09-11T08:18:39+00:00","author":{"@id":"https:\/\/www.dbi-services.com\/blog\/#\/schema\/person\/8d8563acfc6e604cce6507f45bac0ea1"},"description":"Is VictoriaMetrics as good as they are clam it to be?","breadcrumb":{"@id":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.dbi-services.com\/blog\/prometheus-vs-victoriametrics\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Accueil","item":"https:\/\/www.dbi-services.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Prometheus vs VictoriaMetrics"}]},{"@type":"WebSite","@id":"https:\/\/www.dbi-services.com\/blog\/#website","url":"https:\/\/www.dbi-services.com\/blog\/","name":"dbi Blog","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.dbi-services.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.dbi-services.com\/blog\/#\/schema\/person\/8d8563acfc6e604cce6507f45bac0ea1","name":"Middleware Team","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/ddcae7ba0f9d1a0e7ae707f0e689e4a9c95bb48ec49c8e6d9cc86d43f4121cb6?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/ddcae7ba0f9d1a0e7ae707f0e689e4a9c95bb48ec49c8e6d9cc86d43f4121cb6?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/ddcae7ba0f9d1a0e7ae707f0e689e4a9c95bb48ec49c8e6d9cc86d43f4121cb6?s=96&d=mm&r=g","caption":"Middleware Team"},"url":"https:\/\/www.dbi-services.com\/blog\/author\/middleware-team\/"}]}},"_links":{"self":[{"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/posts\/25627","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/users\/40"}],"replies":[{"embeddable":true,"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/comments?post=25627"}],"version-history":[{"count":14,"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/posts\/25627\/revisions"}],"predecessor-version":[{"id":25662,"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/posts\/25627\/revisions\/25662"}],"wp:attachment":[{"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/media?parent=25627"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/categories?post=25627"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/tags?post=25627"},{"taxonomy":"type","embeddable":true,"href":"https:\/\/www.dbi-services.com\/blog\/wp-json\/wp\/v2\/type_dbi?post=25627"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}