{"id":2960057,"date":"2026-03-12T08:52:05","date_gmt":"2026-03-12T15:52:05","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2960057"},"modified":"2026-03-12T09:45:08","modified_gmt":"2026-03-12T16:45:08","slug":"optimize-costs-right-size-arcgis-systems-with-system-monitoring","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/administration\/optimize-costs-right-size-arcgis-systems-with-system-monitoring","title":{"rendered":"Lessons in Observability from Parcel Management System Testing"},"author":280142,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[37501],"tags":[40511,780794,780611],"industry":[],"product":[421922],"class_list":["post-2960057","blog","type-blog","status-publish","format-standard","hentry","category-administration","tag-monitoring","tag-observability","tag-systems","product-arcgis"],"acf":{"authors":[{"ID":280142,"user_firstname":"Sarah","user_lastname":"Scher","nickname":"Sarah Scher","user_nicename":"sscher","display_name":"Sarah Scher","user_email":"SScher@esri.com","user_url":"","user_registered":"2021-09-22 18:30:31","user_description":"Sarah is an Architect at Esri focused on systems innovation . She's passionate about making tech topics easier to understand and apply, helping organizations advance their business goals by strategically leveraging Geography and GIS. In her free time, she likes to play map-based strategy games, go on adventures with her dog Willow, and prepare for her Starfleet entrance exams.","user_avatar":""},{"ID":8992,"user_firstname":"Raymond","user_lastname":"Bunn","nickname":"Ray","user_nicename":"rbunn","display_name":"Raymond Bunn","user_email":"RBunn@esri.com","user_url":"","user_registered":"2019-02-15 17:46:51","user_description":"Ray is an Architect with the Technology and Innovation Team. He leads an initiative to design and test ArcGIS systems with a focus on user experience.","user_avatar":""}],"related_articles":[{"ID":2950561,"post_author":"280142","post_date":"2025-12-03 07:51:26","post_date_gmt":"2025-12-03 15:51:26","post_content":"","post_title":"ArcGIS Technology & Innovation Resource Catalog","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"arcgis-technology-innovation-resource-catalog","to_ping":"","pinged":"","post_modified":"2026-03-12 09:49:39","post_modified_gmt":"2026-03-12 16:49:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2950561","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2926611,"post_author":"280142","post_date":"2025-08-12 06:14:35","post_date_gmt":"2025-08-12 13:14:35","post_content":"","post_title":"Seven Ways You Should Be Using Test Studies to Support Your ArcGIS Systems","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"design-test-optimize-using-test-studies-for-more-successful-arcgis-systems","to_ping":"","pinged":"","post_modified":"2025-12-15 08:44:24","post_modified_gmt":"2025-12-15 16:44:24","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2926611","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":2952592,"post_author":"280142","post_date":"2025-12-22 09:12:27","post_date_gmt":"2025-12-22 17:12:27","post_content":"","post_title":"The Art and Science of ArcSOC Optimization","post_excerpt":"","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"the-art-and-science-of-arcsoc-optimization","to_ping":"","pinged":"","post_modified":"2026-01-06 11:55:28","post_modified_gmt":"2026-01-06 19:55:28","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=2952592","menu_order":0,"post_type":"blog","post_mime_type":"","comment_count":"0","filter":"raw"}],"short_description":"Learn about the importance of monitoring and telemetry data from our Parcel Management System test study ","flexible_content":[{"acf_fc_layout":"image","image":{"ID":2960196,"id":2960196,"title":"arcgis monitor","filename":"HBiFOp-WAAIiQHR.png","filesize":171175,"url":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR.png","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis\/administration\/optimize-costs-right-size-arcgis-systems-with-system-monitoring\/hbifop-waaiiqhr","alt":"","author":"280142","description":"","caption":"","name":"hbifop-waaiiqhr","status":"inherit","uploaded_to":2960057,"date":"2026-03-12 13:03:30","modified":"2026-03-12 13:03:37","menu_order":0,"mime_type":"image\/png","type":"image","subtype":"png","icon":"https:\/\/www.esri.com\/arcgis-blog\/wp-includes\/images\/media\/default.png","width":864,"height":576,"sizes":{"thumbnail":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR-213x200.png","thumbnail-width":213,"thumbnail-height":200,"medium":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR.png","medium-width":392,"medium-height":261,"medium_large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR.png","medium_large-width":768,"medium_large-height":512,"large":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR.png","large-width":864,"large-height":576,"1536x1536":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR.png","1536x1536-width":864,"1536x1536-height":576,"2048x2048":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR.png","2048x2048-width":864,"2048x2048-height":576,"card_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR-698x465.png","card_image-width":698,"card_image-height":465,"wide_image":"https:\/\/www.esri.com\/arcgis-blog\/app\/uploads\/2026\/03\/HBiFOp-WAAIiQHR.png","wide_image-width":864,"wide_image-height":576}},"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"

Our latest Parcel Management System test study<\/a> provides a concrete example of how an ArcGIS system’s observability – across virtual machines, services, and workflows – enables teams to tune performance, right\u2011size infrastructure, and make informed architectural decisions before problems appear in production.<\/p>\n

In this blog, you’ll learn:<\/p>\n

    \n
  1. Why observability must be designed into ArcGIS systems from the start<\/li>\n
  2. What we monitor in our test studies to get insightful results<\/li>\n
  3. How to evaluate test results and translate them into actionable improvements<\/li>\n<\/ol>\n

    And if you’re looking to really<\/em> dive in, check out the full test study here!<\/a><\/p>\n"},{"acf_fc_layout":"content","content":"

    Observability by design<\/strong><\/h1>\n"},{"acf_fc_layout":"content","content":"

    Observability is often treated as something you \u201cadd later\u201d to help troubleshoot issues in production. However in practice, observability should be factored in at the design phase. Ultimately, it determines to what extent you will be able to tune, scale, prevent issues, and troubleshoot problems for your systems.<\/p>\n

    In this test study, we intentionally built observability into the system at the start, so we could monitor different aspects of the systems as workflows were executed under increasing load. We aimed not just to confirm that workflows were completed successfully, but to understand how each tier of the system behaved as demand increased. This was especially true of the user experience at the client tier, which can be a challenge to monitor.<\/p>\n

    Learn more about observability in the ArcGIS Architecture Center!<\/a><\/p>\n"},{"acf_fc_layout":"content","content":"

    Cross-system monitoring<\/strong><\/h1>\n"},{"acf_fc_layout":"content","content":"

    To perform successful system validation and deliver meaningful results, we needed to be able to monitor the system\u2019s behavior and capture telemetry.<\/p>\n

    We used ArcGIS Monitor and enterprise IT monitoring tools like Windows Performance Monitor to monitor the system\u2019s performance and capture telemetry on its behavior under certain conditions, like:<\/p>\n"},{"acf_fc_layout":"content","content":"

    1. Machine-level metrics<\/strong><\/h2>\n"},{"acf_fc_layout":"content","content":"

    At the infrastructure layer, we monitored system resources on each virtual machine hosting ArcGIS Enterprise components and our enterprise geodatabase, like:<\/p>\n