{"id":373,"date":"2024-11-16T22:49:32","date_gmt":"2024-11-16T21:49:32","guid":{"rendered":"https:\/\/www.systemdeveloper.nl\/tech\/?p=373"},"modified":"2024-11-16T22:49:33","modified_gmt":"2024-11-16T21:49:33","slug":"from-data-to-predictions-building-a-smarter-monitoring-system","status":"publish","type":"post","link":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/","title":{"rendered":"From Data to Predictions \u2013 Building a Smarter Monitoring System"},"content":{"rendered":"<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">In the ever-evolving tech landscape, predictive monitoring isn&#8217;t just a luxury &ndash; it&rsquo;s a necessity. What if your servers could tell you when they need updates, resources, or attention? With data collected via our API and some machine learning magic, we&rsquo;re taking the first steps into smarter, data-driven monitoring. In this blog, we&rsquo;ll explore how we trained models to predict system updates, compared results, and learned how to optimize them.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"step-1-data-collection-with-our-api\"><strong>Step 1: Data Collection with Our API<\/strong><\/h2>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">We&rsquo;ve built a flexible API to collect and store system data in <strong>InfluxDB<\/strong>. Using this API, various servers send metrics like CPU load, memory usage, and OS updates. For this project, we focused on the <code>os_updates<\/code> field to predict the number of available updates for a given server.<\/p>\n\n\n<pre class=\"wp-block-code\"><div class=\"copy-to-clipboard\">\n<span>Copied!<\/span><button class=\"click-to-copy-button\" title=\"Copy to clipboard\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 32 32\" stroke=\"currentcolor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"24\" height=\"24\" fill=\"none\">\n  <path d=\"M12.9975 10.7499L11.7475 10.7499C10.6429 10.7499 9.74747 11.6453 9.74747 12.7499L9.74747 21.2499C9.74747 22.3544 10.6429 23.2499 11.7475 23.2499L20.2475 23.2499C21.352 23.2499 22.2475 22.3544 22.2475 21.2499L22.2475 12.7499C22.2475 11.6453 21.352 10.7499 20.2475 10.7499L18.9975 10.7499Z\"><\/path>\n  <path d=\"M17.9975 12.2499L13.9975 12.2499C13.4452 12.2499 12.9975 11.8022 12.9975 11.2499L12.9975 9.74988C12.9975 9.19759 13.4452 8.74988 13.9975 8.74988L17.9975 8.74988C18.5498 8.74988 18.9975 9.19759 18.9975 9.74988L18.9975 11.2499C18.9975 11.8022 18.5498 12.2499 17.9975 12.2499Z\"><\/path>\n  <path d=\"M13.7475 16.2499L18.2475 16.2499\"><\/path>\n  <path d=\"M13.7475 19.2499L18.2475 19.2499\"><\/path>\n<\/svg><\/button><textarea>curl -X POST http:\/\/127.0.0.1:5000\/api\/submit \\\n     -H \"Content-Type: application\/json\" \\\n     -H \"X-API-Key: your_api_key_here\" \\\n     -d '{\"field\": \"os_updates\", \"value\": 10}'<\/textarea>\n<\/div><code>curl -X POST http:\/\/127.0.0.1:5000\/api\/submit \\\n     -H \"Content-Type: application\/json\" \\\n     -H \"X-API-Key: your_api_key_here\" \\\n     -d '{\"field\": \"os_updates\", \"value\": 10}'<\/code><\/pre>\n\n\n<h2 class=\"wp-block-heading\" id=\"step-2-preparing-data-for-machine-learning\"><strong>Step 2: Preparing Data for Machine Learning<\/strong><\/h2>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">Our collected data looks like this:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Time<\/strong><\/th><th><strong>Hostname<\/strong><\/th><th><strong>OS Updates<\/strong><\/th><\/tr><\/thead><tbody><tr><td>2024-11-15 10:00:00<\/td><td><code>127.0.0.1<\/code><\/td><td>73<\/td><\/tr><tr><td>2024-11-15 11:00:00<\/td><td><code>127.0.0.1<\/code><\/td><td>71<\/td><\/tr><tr><td>&#8230;<\/td><td>&#8230;<\/td><td>&#8230;<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">Before training a model, we extracted meaningful features:<\/p>\n\n\n<ul class=\"wp-block-list wp-block-list\">\n<li>\n<strong><code>weekday<\/code><\/strong>: The day of the week (0 = Monday, 6 = Sunday).<\/li>\n\n\n\n<li>\n<strong><code>hour<\/code><\/strong>: The hour of the day.<\/li>\n\n\n\n<li>\n<strong><code>value_diff<\/code><\/strong>: The difference in updates since the last data point.<\/li>\n<\/ul>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">We then split the data into training and testing sets.<\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"step-3-model-training\"><strong>Step 3: Model Training<\/strong><\/h2>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">We compared two models:<\/p>\n\n\n<ol class=\"wp-block-list wp-block-list\">\n<li>\n<strong>Linear Regression<\/strong>: A simple yet effective baseline.<\/li>\n\n\n\n<li>\n<strong>Random Forest Regressor<\/strong>: A more robust, non-linear model.<\/li>\n<\/ol>\n\n\n<pre class=\"wp-block-code\"><div class=\"copy-to-clipboard\">\n<span>Copied!<\/span><button class=\"click-to-copy-button\" title=\"Copy to clipboard\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" viewbox=\"0 0 32 32\" stroke=\"currentcolor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\" width=\"24\" height=\"24\" fill=\"none\">\n  <path d=\"M12.9975 10.7499L11.7475 10.7499C10.6429 10.7499 9.74747 11.6453 9.74747 12.7499L9.74747 21.2499C9.74747 22.3544 10.6429 23.2499 11.7475 23.2499L20.2475 23.2499C21.352 23.2499 22.2475 22.3544 22.2475 21.2499L22.2475 12.7499C22.2475 11.6453 21.352 10.7499 20.2475 10.7499L18.9975 10.7499Z\"><\/path>\n  <path d=\"M17.9975 12.2499L13.9975 12.2499C13.4452 12.2499 12.9975 11.8022 12.9975 11.2499L12.9975 9.74988C12.9975 9.19759 13.4452 8.74988 13.9975 8.74988L17.9975 8.74988C18.5498 8.74988 18.9975 9.19759 18.9975 9.74988L18.9975 11.2499C18.9975 11.8022 18.5498 12.2499 17.9975 12.2499Z\"><\/path>\n  <path d=\"M13.7475 16.2499L18.2475 16.2499\"><\/path>\n  <path d=\"M13.7475 19.2499L18.2475 19.2499\"><\/path>\n<\/svg><\/button><textarea>from sklearn.ensemble import RandomForestRegressor\n\n# Train Linear Regression\nlinear_model = LinearRegression()\nlinear_model.fit(X_train, y_train)\n\n# Train Random Forest\nrf_model = RandomForestRegressor(random_state=42)\nrf_model.fit(X_train, y_train)<\/textarea>\n<\/div><code>from sklearn.ensemble import RandomForestRegressor\n\n# Train Linear Regression\nlinear_model = LinearRegression()\nlinear_model.fit(X_train, y_train)\n\n# Train Random Forest\nrf_model = RandomForestRegressor(random_state=42)\nrf_model.fit(X_train, y_train)<\/code><\/pre>\n\n\n<h2 class=\"wp-block-heading\" id=\"step-4-results\"><strong>Step 4: Results<\/strong><\/h2>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">Here&rsquo;s how the models performed on the test data:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Metric<\/strong><\/th><th><strong>Linear Regression<\/strong><\/th><th><strong>Random Forest<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>Mean Absolute Error<\/strong><\/td><td>35.18<\/td><td>31.90<\/td><\/tr><tr><td><strong>Root Mean Squared Error<\/strong><\/td><td>41.52<\/td><td>39.46<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">Random Forest clearly outperformed Linear Regression. By capturing non-linear relationships, it provided more accurate predictions.<\/p>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\"><strong>Sample Predictions:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Actual Updates<\/strong><\/th><th><strong>Linear Predicted<\/strong><\/th><th><strong>Random Forest Predicted<\/strong><\/th><\/tr><\/thead><tbody><tr><td>0<\/td><td>12.44<\/td><td>24.69<\/td><\/tr><tr><td>69<\/td><td>44.62<\/td><td>15.11<\/td><\/tr><tr><td>111<\/td><td>96.33<\/td><td>89.52<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">This is by no means impressive yet. We&#8217;re working with only a few measurements. When time passes and more servers and measurements are added, these predictions will become more accurate. This is where it get&#8217;s exciting. <\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\"><\/p>\n\n\n<h2 class=\"wp-block-heading\" id=\"step-5-insights-with-feature-importance\"><strong>Step 5: Insights with Feature Importance<\/strong><\/h2>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">Random Forest allows us to evaluate the importance of each feature. Here&rsquo;s what we found:<\/p>\n\n\n<ul class=\"wp-block-list wp-block-list\">\n<li>\n<strong><code>value_diff<\/code><\/strong>: The difference in updates since the last check was the most significant predictor.<\/li>\n\n\n\n<li>\n<strong><code>weekday<\/code><\/strong>: Some days showed consistent patterns of updates.<\/li>\n\n\n\n<li>\n<strong><code>hour<\/code><\/strong>: Updates were more common during specific hours of the day.<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\"><strong>Next Steps<\/strong><\/p>\n\n\n<ol class=\"wp-block-list wp-block-list\">\n<li>\n<strong>Expand Data Collection<\/strong>: Add more fields, like CPU usage or memory load, for deeper insights.<\/li>\n\n\n\n<li>\n<strong>Hyperparameter Tuning<\/strong>: Optimize Random Forest for even better performance.<\/li>\n\n\n\n<li>\n<strong>Real-Time Predictions<\/strong>: Deploy the trained model in production to make real-time decisions.<\/li>\n\n\n\n<li>\n<strong>Alerting<\/strong>: Trigger alerts if predictions exceed thresholds (e.g., more than 100 updates predicted).<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\">With the data we&rsquo;ve collected and the models we&rsquo;ve trained, we&rsquo;re well on our way to smarter monitoring. By predicting patterns like OS updates, we can plan interventions, optimize resources, and improve system reliability. This project is just the beginning &ndash; the more data we collect, the more powerful and accurate our predictions will become.<\/p>\n\n\n<p class=\"wp-block-paragraph wp-block-paragraph\" style=\"\"><strong>What&rsquo;s next on your predictive journey?<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the ever-evolving tech landscape, predictive monitoring isn&#8217;t just a luxury &ndash; it&rsquo;s a necessity. What if your servers could tell you when they need updates, resources, or attention? With data collected via our API and some machine learning magic, we&rsquo;re taking the first steps into smarter, data-driven monitoring. In this blog, we&rsquo;ll explore how &hellip;<\/p>\n","protected":false},"author":1,"featured_media":374,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[28,36,46,16],"tags":[15,17,37],"class_list":["post-373","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-future-ideas","category-howto","category-tech-innovation","tag-api","tag-machine-learning","tag-monitoring"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>From Data to Predictions \u2013 Building a Smarter Monitoring System - SystemDeveloper.NL<\/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:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"From Data to Predictions \u2013 Building a Smarter Monitoring System - SystemDeveloper.NL\" \/>\n<meta property=\"og:description\" content=\"In the ever-evolving tech landscape, predictive monitoring isn&#8217;t just a luxury &ndash; it&rsquo;s a necessity. What if your servers could tell you when they need updates, resources, or attention? With data collected via our API and some machine learning magic, we&rsquo;re taking the first steps into smarter, data-driven monitoring. In this blog, we&rsquo;ll explore how &hellip;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/\" \/>\n<meta property=\"og:site_name\" content=\"SystemDeveloper.NL\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/quan.tora.16\" \/>\n<meta property=\"article:published_time\" content=\"2024-11-16T21:49:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-16T21:49:33+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"768\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"John Timmer\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"John Timmer\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/\"},\"author\":{\"name\":\"John Timmer\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#\\\/schema\\\/person\\\/5760c2ed5300c56d8ef01dfb00a9763b\"},\"headline\":\"From Data to Predictions \u2013 Building a Smarter Monitoring System\",\"datePublished\":\"2024-11-16T21:49:32+00:00\",\"dateModified\":\"2024-11-16T21:49:33+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/\"},\"wordCount\":469,\"publisher\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp\",\"keywords\":[\"API\",\"Machine Learning\",\"Monitoring\"],\"articleSection\":[\"AI\",\"Future ideas\",\"Howto\",\"Tech Innovation\"],\"inLanguage\":\"en\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/\",\"url\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/\",\"name\":\"From Data to Predictions \u2013 Building a Smarter Monitoring System - SystemDeveloper.NL\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp\",\"datePublished\":\"2024-11-16T21:49:32+00:00\",\"dateModified\":\"2024-11-16T21:49:33+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/#breadcrumb\"},\"inLanguage\":\"en\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp\",\"contentUrl\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp\",\"width\":1024,\"height\":768,\"caption\":\"From Data to Predictions \u2013 Building a Smarter Monitoring System\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/from-data-to-predictions-building-a-smarter-monitoring-system\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"From Data to Predictions \u2013 Building a Smarter Monitoring System\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#website\",\"url\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/\",\"name\":\"www.systemdeveloper.nl\",\"description\":\"NextGen IT\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#organization\",\"name\":\"www.systemdeveloper.nl\",\"url\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/qt-logo.png\",\"contentUrl\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/qt-logo.png\",\"width\":1346,\"height\":1230,\"caption\":\"www.systemdeveloper.nl\"},\"image\":{\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/quan.tora.16\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/#\\\/schema\\\/person\\\/5760c2ed5300c56d8ef01dfb00a9763b\",\"name\":\"John Timmer\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en\",\"@id\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/cropped-D6E27035-6864-4270-8D72-0D8C0C59F370-96x96.jpeg\",\"url\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/cropped-D6E27035-6864-4270-8D72-0D8C0C59F370-96x96.jpeg\",\"contentUrl\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/wp-content\\\/uploads\\\/2024\\\/11\\\/cropped-D6E27035-6864-4270-8D72-0D8C0C59F370-96x96.jpeg\",\"caption\":\"John Timmer\"},\"sameAs\":[\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\"],\"url\":\"https:\\\/\\\/www.systemdeveloper.nl\\\/tech\\\/author\\\/admin\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"From Data to Predictions \u2013 Building a Smarter Monitoring System - SystemDeveloper.NL","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.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/","og_locale":"en_US","og_type":"article","og_title":"From Data to Predictions \u2013 Building a Smarter Monitoring System - SystemDeveloper.NL","og_description":"In the ever-evolving tech landscape, predictive monitoring isn&#8217;t just a luxury &ndash; it&rsquo;s a necessity. What if your servers could tell you when they need updates, resources, or attention? With data collected via our API and some machine learning magic, we&rsquo;re taking the first steps into smarter, data-driven monitoring. In this blog, we&rsquo;ll explore how &hellip;","og_url":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/","og_site_name":"SystemDeveloper.NL","article_publisher":"https:\/\/www.facebook.com\/quan.tora.16","article_published_time":"2024-11-16T21:49:32+00:00","article_modified_time":"2024-11-16T21:49:33+00:00","og_image":[{"width":1024,"height":768,"url":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp","type":"image\/webp"}],"author":"John Timmer","twitter_card":"summary_large_image","twitter_misc":{"Written by":"John Timmer","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/#article","isPartOf":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/"},"author":{"name":"John Timmer","@id":"https:\/\/www.systemdeveloper.nl\/tech\/#\/schema\/person\/5760c2ed5300c56d8ef01dfb00a9763b"},"headline":"From Data to Predictions \u2013 Building a Smarter Monitoring System","datePublished":"2024-11-16T21:49:32+00:00","dateModified":"2024-11-16T21:49:33+00:00","mainEntityOfPage":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/"},"wordCount":469,"publisher":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/#organization"},"image":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/#primaryimage"},"thumbnailUrl":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp","keywords":["API","Machine Learning","Monitoring"],"articleSection":["AI","Future ideas","Howto","Tech Innovation"],"inLanguage":"en"},{"@type":"WebPage","@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/","url":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/","name":"From Data to Predictions \u2013 Building a Smarter Monitoring System - SystemDeveloper.NL","isPartOf":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/#primaryimage"},"image":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/#primaryimage"},"thumbnailUrl":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp","datePublished":"2024-11-16T21:49:32+00:00","dateModified":"2024-11-16T21:49:33+00:00","breadcrumb":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/#breadcrumb"},"inLanguage":"en","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/"]}]},{"@type":"ImageObject","inLanguage":"en","@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/#primaryimage","url":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp","contentUrl":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/d5086c72-e0cc-4ff8-8adc-fab005e67922-e1731793742940.webp","width":1024,"height":768,"caption":"From Data to Predictions \u2013 Building a Smarter Monitoring System"},{"@type":"BreadcrumbList","@id":"https:\/\/www.systemdeveloper.nl\/tech\/from-data-to-predictions-building-a-smarter-monitoring-system\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.systemdeveloper.nl\/tech\/"},{"@type":"ListItem","position":2,"name":"From Data to Predictions \u2013 Building a Smarter Monitoring System"}]},{"@type":"WebSite","@id":"https:\/\/www.systemdeveloper.nl\/tech\/#website","url":"https:\/\/www.systemdeveloper.nl\/tech\/","name":"www.systemdeveloper.nl","description":"NextGen IT","publisher":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.systemdeveloper.nl\/tech\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en"},{"@type":"Organization","@id":"https:\/\/www.systemdeveloper.nl\/tech\/#organization","name":"www.systemdeveloper.nl","url":"https:\/\/www.systemdeveloper.nl\/tech\/","logo":{"@type":"ImageObject","inLanguage":"en","@id":"https:\/\/www.systemdeveloper.nl\/tech\/#\/schema\/logo\/image\/","url":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/qt-logo.png","contentUrl":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/qt-logo.png","width":1346,"height":1230,"caption":"www.systemdeveloper.nl"},"image":{"@id":"https:\/\/www.systemdeveloper.nl\/tech\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/quan.tora.16"]},{"@type":"Person","@id":"https:\/\/www.systemdeveloper.nl\/tech\/#\/schema\/person\/5760c2ed5300c56d8ef01dfb00a9763b","name":"John Timmer","image":{"@type":"ImageObject","inLanguage":"en","@id":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/cropped-D6E27035-6864-4270-8D72-0D8C0C59F370-96x96.jpeg","url":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/cropped-D6E27035-6864-4270-8D72-0D8C0C59F370-96x96.jpeg","contentUrl":"https:\/\/www.systemdeveloper.nl\/tech\/wp-content\/uploads\/2024\/11\/cropped-D6E27035-6864-4270-8D72-0D8C0C59F370-96x96.jpeg","caption":"John Timmer"},"sameAs":["https:\/\/www.systemdeveloper.nl\/tech"],"url":"https:\/\/www.systemdeveloper.nl\/tech\/author\/admin\/"}]}},"_links":{"self":[{"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/posts\/373","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/comments?post=373"}],"version-history":[{"count":1,"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/posts\/373\/revisions"}],"predecessor-version":[{"id":375,"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/posts\/373\/revisions\/375"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/media\/374"}],"wp:attachment":[{"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/media?parent=373"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/categories?post=373"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.systemdeveloper.nl\/tech\/wp-json\/wp\/v2\/tags?post=373"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}