{"id":512,"date":"2026-06-25T03:11:35","date_gmt":"2026-06-25T03:11:35","guid":{"rendered":"https:\/\/virtualserversvps.com\/blog\/?p=512"},"modified":"2026-08-22T22:09:23","modified_gmt":"2026-08-22T22:09:23","slug":"setup-prometheus-grafana-vps-monitoring","status":"publish","type":"post","link":"https:\/\/virtualserversvps.com\/blog\/setup-prometheus-grafana-vps-monitoring\/","title":{"rendered":"Prometheus and Grafana on a VPS: A Monitoring Stack That Runs in 512 MB of RAM"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">\u201cPrometheus and Grafana need a dedicated server\u201d is one of the most persistent myths in VPS monitoring. The pair is usually associated with sprawling Kubernetes clusters, but a deliberately sized Prometheus + Grafana setup runs comfortably on a 1&nbsp;GB VPS and can even fit in 512&nbsp;MB if you make a few honest trade-offs. This guide walks through installing the stack on a small VPS, the exact settings that keep memory and disk in check, and the handful of alerts that actually matter for a single-node workload.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What the stack actually costs<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Before tuning anything, know your baseline. The four components of a minimal stack are Prometheus itself, node_exporter, Grafana, and optionally Alertmanager. On a freshly installed Debian or Ubuntu VPS the resident set sizes look roughly like this:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><thead><tr><th>Component<\/th><th>Typical RSS<\/th><th>Notes<\/th><\/tr><\/thead><tbody><tr><td>prometheus<\/td><td>80\u2013150 MB<\/td><td>Grows with scrape targets and retention<\/td><\/tr><tr><td>node_exporter<\/td><td>15\u201330 MB<\/td><td>One process per host, very stable<\/td><\/tr><tr><td>Grafana<\/td><td>90\u2013180 MB<\/td><td>More with many dashboards and plugins<\/td><\/tr><tr><td>alertmanager<\/td><td>20\u201340 MB<\/td><td>Optional if you alert from Grafana directly<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">Total: roughly 250\u2013400&nbsp;MB for the whole stack. On a 2&nbsp;GB VPS that is a non-event. On a 512&nbsp;MB VPS it is survivable, but only if you apply the sizing rules in the next section.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Install in five commands<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">On Debian 12 \/ Ubuntu 24.04 all three core components are in the official repositories, which means they arrive as properly managed systemd services:<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>sudo apt update\nsudo apt install -y prometheus prometheus-node-exporter grafana\nsudo systemctl enable --now prometheus node_exporter grafana-server<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Verify each service is listening before moving on: <code>curl -s localhost:9090\/metrics<\/code> should return Prometheus metrics, and Grafana answers on <code>localhost:3000<\/code>. Nothing is exposed to the internet at this point, which is exactly what we want.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Sizing knobs that matter on a small VPS<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Four settings separate a lean monitoring stack from one that OOM-kills your web server:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Scrape interval.<\/strong> The default 15&nbsp;s interval is overkill for a single host. 45\u201360&nbsp;s cuts Prometheus CPU and memory roughly in half, and you will not notice the difference on any alert that matters.<\/li><li><strong>Retention.<\/strong> Set <code>--storage.tsdb.retention.time=15d<\/code> (or 7&nbsp;d on a 512&nbsp;MB box) via a systemd drop-in. Long-term history is what a hosted service is for, not a small VPS.<\/li><li><strong>Scrape targets.<\/strong> Scrape only node_exporter and your own services. Every extra target multiplies memory.<\/li><li><strong>Grafana extras.<\/strong> Disable analytics reporting and uninstall plugins you do not use; Grafana&#8217;s memory footprint tracks its plugin count.<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Disk usage follows retention almost linearly. As a rough guide, a single node_exporter target with default metrics uses roughly 0.5\u20131.5&nbsp;GB for 7&nbsp;days of history at a 60&nbsp;s scrape interval \u2014 well within reach of any VPS with a 20&nbsp;GB disk.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">A minimal prometheus.yml<\/h2>\n\n\n\n<pre class=\"wp-block-code\"><code>global:\n  scrape_interval: 60s\n  evaluation_interval: 60s\n\nscrape_configs:\n  - job_name: node\n    static_configs:\n      - targets: ['localhost:9100']<\/code><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Apply it with <code>sudo systemctl reload prometheus<\/code>. If you later add a database or web server exporter, add one job per service and keep the <code>scrape_interval<\/code> inherited from the global setting.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Three dashboards that matter<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Resist the urge to install a 100-panel community dashboard. On a single-node VPS three views cover 95% of real questions: a CPU overview (usage, steal, load average), a memory view (available, swap in\/out, PSI pressure), and a disk view (space used per mount, I\/O latency). Prometheus and node_exporter expose every metric you need for these under the <code>node_<\/code> prefix, and Grafana&#8217;s query builder handles the rest without any plugin.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">The five alerts worth setting<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">On a small VPS the list of alerts that justify their noise is short:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Disk space above 80%<\/strong> \u2014 the most common cause of dead small VPSes.<\/li><li><strong>Memory pressure<\/strong> \u2014 high PSI or swap thrash, not raw usage.<\/li><li><strong>CPU steal above 10% sustained<\/strong> \u2014 a noisy neighbour is eating your quota.<\/li><li><strong>Failed systemd unit<\/strong> \u2014 catches a crashed service in seconds.<\/li><li><strong>Certificate expiry<\/strong> \u2014 alert 14 days before a TLS cert expires.<\/li><\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Alertmanager is the classic route, but on a small box Grafana&#8217;s built-in alerting (contact points, no extra process) is lighter and perfectly adequate.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Wrap it in TLS and move on<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Bind Grafana to <code>127.0.0.1<\/code> and front it with a reverse proxy that terminates TLS, then access dashboards over HTTPS only. If monitoring a single VPS feels like overhead, remember that the alternative is discovering a full disk at 3&nbsp;a.m. \u2014 and that the same VPS can host <a href=\"https:\/\/virtualserversvps.com\/\">a full production workload<\/a> while the stack above idles in the background, consuming less memory than a single browser tab.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">If you are shopping for hardware to run this on, <a href=\"https:\/\/virtualserversvps.com\/#providers\">compare providers on our VPS comparison table<\/a> to see which plans give you the RAM headroom for monitoring plus your application.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ready to try it? <a href=\"https:\/\/interserver.net\/vps?id=1067805&amp;sid=virtualserversvps\" rel=\"noreferrer noopener sponsored\" target=\"_blank\">InterServer&#8217;s VPS plans<\/a> include generous RAM allocations, and the stack in this guide runs on even their smallest tier alongside a live web application.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u201cPrometheus and Grafana need a dedicated server\u201d is one of the most persistent myths in VPS monitoring. The pair is usually associated with sprawling Kubernetes clusters, but a deliberately sized&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":3,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-512","post","type-post","status-publish","format-standard","hentry","category-vps-guides-tutorials"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.1 (Yoast SEO v26.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Prometheus and Grafana on a VPS: A Monitoring Stack That Runs in 512 MB of RAM - Virtual Servers VPS Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/virtualserversvps.com\/blog\/setup-prometheus-grafana-vps-monitoring\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Prometheus and Grafana on a VPS: A Monitoring Stack That Runs in 512 MB of RAM\" \/>\n<meta property=\"og:description\" content=\"Prometheus and Grafana on a VPS: A Monitoring Stack That Runs in 512 MB of RAM\" \/>\n<meta property=\"og:url\" content=\"https:\/\/virtualserversvps.com\/blog\/setup-prometheus-grafana-vps-monitoring\/\" \/>\n<meta property=\"og:site_name\" content=\"Virtual Servers VPS Blog\" \/>\n<meta property=\"article:published_time\" content=\"2026-06-25T03:11:35+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-22T22:09:23+00:00\" \/>\n<meta name=\"author\" content=\"Virtual-Servers-Vps-Editor\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Virtual-Servers-Vps-Editor\" \/>\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\":\"WebPage\",\"@id\":\"https:\/\/virtualserversvps.com\/blog\/setup-prometheus-grafana-vps-monitoring\/\",\"url\":\"https:\/\/virtualserversvps.com\/blog\/setup-prometheus-grafana-vps-monitoring\/\",\"name\":\"Prometheus and Grafana on a VPS: A Monitoring Stack That Runs in 512 MB of RAM - 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