{"id":2235,"date":"2016-05-23T11:52:53","date_gmt":"2016-05-23T15:52:53","guid":{"rendered":"https:\/\/www.redline13.com\/blog\/?p=2235"},"modified":"2016-05-23T11:52:53","modified_gmt":"2016-05-23T15:52:53","slug":"ongoing-look-industry-trends-using-cloud-performance-testing-right-cloud-deployment-sizing","status":"publish","type":"post","link":"https:\/\/www.redline13.com\/blog\/2016\/05\/ongoing-look-industry-trends-using-cloud-performance-testing-right-cloud-deployment-sizing\/","title":{"rendered":"An Ongoing Look at Industry Trends: Cloud Testing for Capacity Planning"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">As we have <\/span><a href=\"https:\/\/www.redline13.com\/blog\/2016\/04\/an-ongoing-look-at-industry-trends-the-migration-of-internal-systems-into-the-cloud\/\"><span style=\"font-weight: 400;\">previously examined<\/span><\/a><span style=\"font-weight: 400;\">, the cloud has opened up many new doors within the world of performance testing. We are now seeing a new use case for cloud performance testing emerge, not simply a means to validate scale, but as a service to validate deployment options based on size, scale, and cost: load testing for capacity planning. This trend is a sign that the power of pricing\/performance has shifted from operations teams to development and QA.<\/span><\/p>\n<p><span style=\"color: #d31d03;\"><strong>Right Deployment Sizing and Capacity Planning: Pre-Cloud<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Before cloud-based services and testing solutions were readily available, the process of capacity planning and\/or determining the right size for deployment was more art and less science. We would build performance tests upon base level hardware, perhaps a standard model of an HP Server, for example. The results from this would allow us to make an educated guess. For example, what if we had 4x load on servers 2x as powerful? Unfortunately there many unknowns in this process that would not hit us until the hardware was deployed and scale was realized. Your best decision was to purchase larger than required capacity.<\/span><\/p>\n<p><b>Pain Points<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Rarely had the exact production hardware<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Never had a true duplicate of production<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Required operations teams and physical delivery<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Always needed to purchase above capacity<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">It was difficult to determine which deployment options would best suit your needs and be the most economically viable. Again, it was more-or-less a series of guesstimations.<\/span><\/p>\n<p><strong><span style=\"color: #d31d03;\">Enter: The Cloud<\/span><\/strong><\/p>\n<p><span style=\"font-weight: 400;\">The cloud service providers removed many or perhaps all of these obstacles highlighted above. We are now 1 click away from having a server with 1.9 TB of RAM and 128 CPUs or a functional DB on a 32 CPU server. Our unlimited choices and options have now become our biggest obstacle. So which one do you choose, and why?\u00a0<\/span><\/p>\n<p><b>Pain Points<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Unlimited Options<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Choice Performance vs Price<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">How to determine the right mix<\/span><\/li>\n<\/ul>\n<p><span style=\"color: #d31d03;\"><strong>Enter: Cloud Testing Solutions<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">Now with cloud based testing solutions, capacity planning for the right size cloud deployment has become more of an exact science. We can now cheaply test a range of different scenarios and configure our application and throughput to match our minimum and maximum requirements (and every size in between). We can build our performance tests once, and if we are really talented, we can run all three scenarios simultaneously.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2372\" src=\"https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Scenarios.jpg\" alt=\"Scenarios\" width=\"1000\" height=\"750\" srcset=\"https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Scenarios.jpg 1000w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Scenarios-300x225.jpg 300w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Scenarios-768x576.jpg 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">With these cloud load testing solutions, we can now create real simulations that represent all of the various deployment options that we could potentially use. Instead of just guessing which deployment size would be ideal, we can run an unlimited amount of load tests so we can precisely determine which specific option works the best and costs the least.\u00a0<\/span><span style=\"font-weight: 400;\">This all leads to solving the question: which deployment option will give us the right balance of price and performance? \u00a0<\/span><\/p>\n<p><span style=\"color: #d31d03;\"><strong>The Relationship Between\u00a0Price and Performance<\/strong><\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-2376\" src=\"https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/performance-cost.png\" alt=\"performance cost\" width=\"1000\" height=\"610\" srcset=\"https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/performance-cost.png 1000w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/performance-cost-300x183.png 300w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/performance-cost-768x468.png 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">Typically, the more money we spend on better servers or on a certain type of deployment, the more performance gains we realize. However there comes a point where we spend more money, but performance stagnates: the level of added performance in relation to cost reaches a peak and then tops off. The chart above is a simple representation of this. At around $4,100 dollars per month, we realize a performance increase of some 393 milliseconds. However no matter how much more money we spend on this deployment option, performance will not increase (or at the very most, only marginally increase), resulting in wasted funds.\u00a0<\/span><span style=\"font-weight: 400;\">This peak occurs at a very specific point, and that point is exactly what we use cloud load testing to find. With cloud-based load testing, we can now test dollar sized scenarios to find the right deployment option. Not only does this allow us to discover the right sizing cloud infrastructure, we are also able to save some money that would have otherwise been wasted.<\/span><\/p>\n<p><span style=\"color: #d31d03;\"><strong>The Cloud Changed it All (Yet Again)<\/strong><\/span><\/p>\n<p><span style=\"font-weight: 400;\">The cloud is forcing us to reconsider so much of running our IT Infrastructure, but it is also giving us capabilities we never had. In the past we were stuck with shrugging our shoulders and saying &#8220;I think it will be enough servers&#8221;. Today we can test our hypothesis, come up with costs, \u00a0and find\u00a0our limits with levels of certainty that are unprecedented; doing all of this\u00a0with the click of a mouse.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2373\" src=\"https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Screen-Shot-2016-05-20-at-1.06.28-PM.png\" alt=\"Screen Shot 2016-05-20 at 1.06.28 PM\" width=\"1000\" height=\"669\" srcset=\"https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Screen-Shot-2016-05-20-at-1.06.28-PM.png 1688w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Screen-Shot-2016-05-20-at-1.06.28-PM-300x201.png 300w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Screen-Shot-2016-05-20-at-1.06.28-PM-1024x685.png 1024w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Screen-Shot-2016-05-20-at-1.06.28-PM-768x514.png 768w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Screen-Shot-2016-05-20-at-1.06.28-PM-1536x1028.png 1536w, https:\/\/www.redline13.com\/blog\/wp-content\/uploads\/2016\/05\/Screen-Shot-2016-05-20-at-1.06.28-PM-1568x1050.png 1568w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>As we have previously examined, the cloud has opened up many new doors within the world of performance testing. We are now seeing a new use case for cloud performance testing emerge, not simply a means to validate scale, but as a service to validate deployment options based on size, scale, and cost: load testing for capacity planning. This trend is a sign that the power of pricing\/performance has shifted from operations teams to development and<a class=\"more-link\" href=\"https:\/\/www.redline13.com\/blog\/2016\/05\/ongoing-look-industry-trends-using-cloud-performance-testing-right-cloud-deployment-sizing\/\">Read More &rarr;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,33],"tags":[126,128,173,264,318,388],"class_list":{"0":"entry","1":"post","2":"publish","3":"author-user","4":"post-2235","6":"format-standard","7":"category-blog","8":"category-industry-trends","9":"post_tag-cloud","10":"post_tag-cloud-load-testing","11":"post_tag-deployment","12":"post_tag-industry-trends","13":"post_tag-load-testing","14":"post_tag-performance"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.12 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>An Ongoing Look at Industry Trends: Cloud Testing for Capacity Planning - RedLine13<\/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.redline13.com\/blog\/2016\/05\/ongoing-look-industry-trends-using-cloud-performance-testing-right-cloud-deployment-sizing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An Ongoing Look at Industry Trends: Cloud Testing for Capacity Planning - RedLine13\" \/>\n<meta property=\"og:description\" content=\"As we have previously examined, the cloud has opened up many new doors within the world of performance testing. 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