{"id":41528,"date":"2026-02-26T10:35:33","date_gmt":"2026-02-26T09:35:33","guid":{"rendered":"https:\/\/www.dbi-services.com\/blog\/?p=41528"},"modified":"2026-02-26T10:52:02","modified_gmt":"2026-02-26T09:52:02","slug":"monitoring-postgresql-on-windows-with-pghero-and-docker","status":"publish","type":"post","link":"https:\/\/www.dbi-services.com\/blog\/monitoring-postgresql-on-windows-with-pghero-and-docker\/","title":{"rendered":"Monitoring PostgreSQL on Windows with PgHero and Docker"},"content":{"rendered":"<p>I know, I know, PostgreSQL usually feels more at home on Linux. But guess what? PgHero works just fine on Windows too, and I gave it a try myself. If you\u2019re running PostgreSQL in a Docker container, this setup is surprisingly easily, and it gives you a great performance dashboard without touching your base system.<\/p>\n<p>In this post, I\u2019ll show you how I set it up with Docker Compose, including running PgHero itself in a container. The goal: a fully contained stack that\u2019s easy to spin up, monitor, and tear down anytime.<\/p>\n<h2>What you need<\/h2>\n<ul>\n<li>Docker Desktop installed on Windows (I recommend using WSL2 for smooth volume mounting).<\/li>\n<li>A PostgreSQL database running in Docker. We\u2019ll build the stack together if you don\u2019t have one yet. In my case, I decided to install PgHero when I was following one of the NestJs course, and used my existing stack.<\/li>\n<li>Basic familiarity with Docker Compose and command-line.<\/li>\n<\/ul>\n<p>Optionally, you can create a folder on your PC to store database files, so your data sticks around even if the container stops. I will use a volume in this blog, to easily edit my PostgreSQL configuration.<\/p>\n<h2>Step 1: Your Docker Compose setup<\/h2>\n<p>Here\u2019s a minimal Compose file for PostgreSQL, Redis, and PgHero. Save it somewhere on your machine, like <code>C:\\docker\\pghero-setup\\docker-compose.yml<\/code>:<\/p>\n<pre><code class=\"language-yaml\">version: \"3\"\nservices:\n  db:\n    image: postgres\n    restart: always\n    ports:\n      - \"5438:5432\"\n    environment:\n      POSTGRES_PASSWORD: pass123\n      POSTGRES_USER: postgres\n      POSTGRES_DB: postgres\n    volumes:\n      - \"C:\/Users\/frj\/Documents\/Training\/Nestjs\/auth-extension\/docker\/postgres-data:\/var\/lib\/postgresql\/data\"\n\n  redis:\n    image: redis\n    ports:\n      - \"6379:6379\"\n    restart: always\n\n  pghero:\n    image: ankane\/pghero\n    depends_on:\n      - db\n    ports:\n      - \"8080:8080\"\n    environment:<br \/>      DATABASE_URL: postgres:\/\/postgres:pass123@db:5432\/postgres\n      PGHERO_USERNAME: admin\n      PGHERO_PASSWORD: secret\n    restart: always<\/code><\/pre>\n<p><strong>Why this works:<\/strong><\/p>\n<ul>\n<li><code>db<\/code> is your PostgreSQL service. The bind mount points to a folder on your PC, so your data survives container restarts.<\/li>\n<li>The <code>command<\/code> lines ensure PostgreSQL loads <code>pg_stat_statements<\/code>, which PgHero uses to track queries.<\/li>\n<li><code>pghero<\/code> runs in its own container and exposes port 8080 for the dashboard.<\/li>\n<li><code>depends_on: db<\/code> ensures PgHero waits for PostgreSQL to start.<\/li>\n<\/ul>\n<h2>Step 2: Monitoring multiple databases<\/h2>\n<p>To be able to track more than one database, we create a <code>pghero.yml<\/code> file instead of using the <span style=\"color: initial\">DATABASE_URL environment variable. Create the file in the same directory as docker-compose.yml:<\/span><\/p>\n<pre><code class=\"language-yaml\">databases:\n  primary:\n    url: postgres:\/\/postgres:pass123@db:5432\/postgres\n  analytics:\n    url: postgres:\/\/postgres:pass123@db:5432\/analytics<\/code><\/pre>\n<p>Then update <code>docker-compose.yml<\/code> for PgHero:<\/p>\n<pre><code class=\"language-yaml\">  pghero:\n    image: ankane\/pghero\n    depends_on:\n      - db\n    ports:\n      - \"8080:8080\"\n    environment:\n      PGHERO_USERNAME: admin\n      PGHERO_PASSWORD: secret\n    volumes:\n      - \".\/pghero.yml:\/app\/config\/pghero.yml:ro\"\n    restart: always<\/code><\/pre>\n<p>PgHero will now show a dropdown to switch between databases in the UI.<\/p>\n<h2>Step 3: Start everything<\/h2>\n<p>In the folder with your <code>docker-compose.yml<\/code>:<\/p>\n<pre><code>docker-compose down  # stop any previous run\ndocker-compose up -d<\/code><\/pre>\n<p>After a few seconds, open your browser at <a href=\"http:\/\/localhost:8080\">http:\/\/localhost:8080<\/a>. Log in with the username and password you set (<code>admin<\/code> \/ <code>secret<\/code>). You should see the PgHero dashboard connected to your database.<\/p>\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"557\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-4-1024x557.png\" alt=\"\" class=\"wp-image-41544\" srcset=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-4-1024x557.png 1024w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-4-300x163.png 300w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-4-768x418.png 768w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-4.png 1027w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Step 4: Enable query tracking<\/h2>\n\n\n\n<p>After starting PostgreSQL, connect to it and enable the <code>pg_stat_statements<\/code> extension. Inside your container, run:<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\ndocker exec -it &amp;lt;db_container&amp;gt; psql -U postgres -d postgres\n<\/pre><\/div>\n\n\n<p>Then in <code>psql<\/code>:<\/p>\n\n\n<div class=\"wp-block-syntaxhighlighter-code \"><pre class=\"brush: plain; title: ; notranslate\" title=\"\">\nCREATE EXTENSION IF NOT EXISTS pg_stat_statements;\n<\/pre><\/div>\n\n\n<p>This makes sure PgHero can track queries, see long-running statements, and show useful stats. Note that you have to do it for each database.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1014\" height=\"595\" src=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-5.png\" alt=\"\" class=\"wp-image-41547\" srcset=\"https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-5.png 1014w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-5-300x176.png 300w, https:\/\/www.dbi-services.com\/blog\/wp-content\/uploads\/sites\/2\/2025\/11\/image-5-768x451.png 768w\" sizes=\"auto, (max-width: 1014px) 100vw, 1014px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Step 5: Windows-specific tips<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Use forward slashes (<code>C:\/path\/to\/folder<\/code>) for volume paths in Compose.<\/li>\n\n\n\n<li>Make sure the folder exists before starting PostgreSQL.<\/li>\n\n\n\n<li>Check your <code>pg_hba.conf<\/code> if you see connection errors \u2014 Docker containers have their own internal IPs, and PostgreSQL needs to allow connections from them.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Step 6: Common troubleshooting<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>500 Internal Server Error \/ cannot connect:<\/strong> Usually a problem with <code>pg_hba.conf<\/code>. Make sure your Docker network is allowed.<\/li>\n\n\n\n<li><strong>No stats showing:<\/strong> Ensure <code>pg_stat_statements<\/code> is loaded and the extension is created.<\/li>\n\n\n\n<li><strong>Dashboard not reachable:<\/strong> Check Docker mapped ports, firewall, and container logs (<code>docker logs &lt;container-id&gt;<\/code>).<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>And that\u2019s it! You now have a Windows-based Docker setup with PostgreSQL and PgHero. You can see your query stats, monitor performance, and even track multiple databases from the same dashboard.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I know, I know, PostgreSQL usually feels more at home on Linux. But guess what? PgHero works just fine on Windows too, and I gave it a try myself. If you\u2019re running PostgreSQL in a Docker container, this setup is surprisingly easily, and it gives you a great performance dashboard without touching your base system. [&hellip;]<\/p>\n","protected":false},"author":87,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[229],"tags":[3736,77,549],"type_dbi":[3737,2749],"class_list":["post-41528","post","type-post","status-publish","format-standard","hentry","category-database-administration-monitoring","tag-pghero","tag-postgresql","tag-windows","type-pghero","type-postgresql"],"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>Monitoring PostgreSQL on Windows with PgHero and Docker - dbi Blog<\/title>\n<meta name=\"description\" content=\"Learn how to set up PostgreSQL monitoring on Windows using PgHero and Docker Compose. 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