{"id":801,"date":"2024-06-05T14:45:21","date_gmt":"2024-06-05T14:45:21","guid":{"rendered":"https:\/\/dr-heshmati.ir\/?p=801"},"modified":"2024-06-06T04:08:08","modified_gmt":"2024-06-06T04:08:08","slug":"dora-metrics-how-to-measure-open-devops-success","status":"publish","type":"post","link":"https:\/\/dr-heshmati.ir\/index.php\/2024\/06\/05\/dora-metrics-how-to-measure-open-devops-success\/","title":{"rendered":"Dora Metrics: How To Measure Open Devops Success"},"content":{"rendered":"<p>These metrics work for any kind of technology your organization is delivering, but are best suited for measuring one utility or service at a time. Use our quick verify device to find how you compare to industry peers, identify particular capabilities you can use to improve performance, and make progress in your software supply objectives. Optimize your software program supply process and set your group up for success with Open DevOps, which has every thing you want to develop and function instantly. Because there are several phases between the initiation and deployment of a change, it\u2019s clever to define each step of the method and track how long each takes. Examine the cycle time for an intensive picture of how the staff capabilities and additional perception into where they will save time.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/globalcloudteam.com\/wp-content\/uploads\/2021\/12\/295d016c-f174-4e85-97f5-7753420587a6-768x432.jpg\" width=\"308px\" alt=\"dora stands for in devops\"\/><\/p>\n<p>The metrics can work wonders when the system is breach-proof, even lowering downtimes, and in flip, MTTR. Improving your customer expertise enhances buyer satisfaction and boosts business development and buyer retention. Failing to establish or understand an issue is, when it boils all the means down to it, the principle reason why most companies fail.<\/p>\n<h2>Understand The Change In Cloud Monitoring Service Discovery And Tips On How To Adapt<\/h2>\n<p>The precise definition of a change, deployment, or incident depends on a team\u2019s enterprise requirements, making it all the more important to have a versatile way to include or exclude extra occasions. In the Four Keys pipeline, recognized information sources are parsed correctly into changes, incidents and deployments. For example, GitHub commits are picked up by the changes script, Cloud Build deployments fall underneath deployments, and GitHub issues with an \u2018incident\u2019 label are categorized as incidents. If a new information supply is added and the present queries don&#8217;t categorize it correctly, the developer can recategorize it by modifying the SQL script. It&#8217;s about the developers wanting to improve their team&#8217;s efficiency and utilizing metrics to know whether or not they&#8217;re successful in their bettering efforts.<\/p>\n<p>A profitable measure of worth stream management is that the shopper realizes the worth of the changes. Likewise, a low change fee failure can look great, but if the lead time for adjustments is simply too lengthy, you might want to break the work into smaller chunks. Reducing the quantity of work in progress within the deployment, as nicely as rising automation, might help reduce the change failure fee. Reducing the amount of work in the deployment, improving code reviews, and rising automation may help cut back lead time for changes. The following discusses why these metrics are DevOps greatest practices, their measurement, and what teams can do to enhance their efficiency.<\/p>\n<p>While groups realize the advantages of using DORA for enhancing software program delivery, they still lack a holistic understanding of what DORA precisely is. Ultimately, DORA helps engineering groups to stay on the forefront in today\u2019s unstable know-how landscape. By profiting from DORA\u2019s insights, groups can remember to stay competitive, deliver high-quality software program and providers, and maximize operational effectivity in their DevOps surroundings.<\/p>\n<p>Tools like Docker can create a platform-agnostic setting and assist automate the configuration and deployment processes. To preserve a safe and updated code, groups ought to carry out steady testing and eliminate any potential bugs or malicious software. It circumvents unplanned downtime and prevents important errors from reaching the market. Using agile and automation together is your silver bullet in enhancing the speed of the development and deployment cycle. Automation can save administrators time on mundane duties and create higher outcomes.<\/p>\n<h2>Buyer Assist<\/h2>\n<p>Data analytics helps groups to extract insights from raw knowledge, so teams have full management over their course of, and not the other method round. Make positive to leverage the info generated by the DORA metrics to plug SDLC bottlenecks, make higher informed decisions, and drive improvements within the software delivery process. This measures how long it takes to have a change, starting from when the developer works on all of it the way till it gets into production. This appears at the ratio between how many times you&#8217;ve deployed and what quantity of occasions those deployments are unsuccessful. MTTR is the average time it takes your group to recover from an unhealthy scenario. Too typically, businesses set cheap targets for their software program development projects but fail to measure their progress against these goals.<\/p>\n<p>With Four Keys, our answer was to create a generalized pipeline that can be extended to course of inputs from all kinds of sources. Any device or system that may output an HTTP request may be built-in into the Four Keys pipeline, which receives occasions via webhooks and ingests them into BigQuery. If you like to observe a video than to read, try this 8-minute explainer video by Don Brown, Sleuth CTO and Co-founder and host of Sleuth TV on YouTube. He explains what DORA metrics are and shares his recommendations on the way to enhance on every of them. This enterprise agility empowers organizations to pivot quickly, seize alternatives, and successfully manage dangers.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/globalcloudteam.com\/wp-content\/uploads\/2020\/08\/image1.png\" width=\"307px\" alt=\"dora stands for in devops\"\/><\/p>\n<p>Overall, understanding and leveraging the ability of DORA metrics is crucial on this digital age. As the software program improvement trade advances, so do the myths and prejudices surrounding the utilization of DORA metrics. With the best implementation practices, engineering teams can capitalize on the insights obtained through the best use of DORA metrics and optimize their software journey. Measuring DORA metrics involves gathering data from varied phases of your development and supply pipeline. This includes integrating tools corresponding to supply management, continuous integration (CI), steady deployment (CD), application performance monitoring (APM), and incident administration. By establishing a clear-cut incident response strategy, engineering groups can promptly detect and resolve points with out having to compromise on software program delivery.<\/p>\n<p>Once you place this follow into place, you can then frequently assess the metric impact on software supply capabilities and refine your strategy based on suggestions and knowledge insights to attain optimal efficiency. Moreover, with the best use of DORA metrics, DevOps teams have seen a drastic increase within the software program supply fee, whereas experiencing a massive shift in downtime. This elevated effectivity is a results of a well-orchestrated method to DevOps. Keep in thoughts that the DORA metrics solely current a high-level outline of DevOps performance.<\/p>\n<p>This is an indicator of DevOps\u2019 total effectivity, as it measures the speed of the event team and their capabilities and stage of automation. A technology company\u2019s most valuable property are its folks and data, particularly data about the organization itself. How lengthy, on average, does it take to recuperate from a failure in production? From a launch going awry, a backhoe chopping the fiber to even your knowledge heart or us-east-1 having a bad day, how long till your users are now not affected? Problems are inevitable in any architecture, however the robustness of your infrastructure can scale back their impression and be positive that your application continues to ship business worth.<\/p>\n<h2>How Are Firms Optimising Dora Metrics?<\/h2>\n<p>To get essentially the most out of DORA metrics, engineering leads must know their group and teams and harness that data to information their targets and decide the method to effectively invest their assets. Those who fall into the elite classes can leverage DORA metrics to proceed bettering services and achieve an edge over opponents. As the State of DevOps report reveals, the group of elite performers is quickly growing (from 7% in 2018 to 26% in 2021), so DORA metrics can present valuable insights for this group. However, there are a number of completely different opinions on when you&#8217;ll have the ability to think about a problem acknowledged \u2014 is it simply when anybody sees the alert, or is it when the one who finally fixes it sees the alert?<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src=\"https:\/\/globalcloudteam.com\/wp-content\/uploads\/2022\/08\/biggest-tech-trends-768x418.jpg\" width=\"303px\" alt=\"dora stands for in devops\"\/><\/p>\n<p>DORA originated as a team at Google Cloud particularly targeted on assessing DevOps efficiency utilizing a normal set of metrics. Their aim is to enhance efficiency and collaboration while driving velocity. These metrics serve as a continuous improvement software for DevOps groups all over the place by helping set targets primarily based on present efficiency <a href=\"https:\/\/www.globalcloudteam.com\/what-are-the-4-dora-metrics-for-devops\/\" target=\"_blank\" rel=\"noopener\">dora methodology<\/a> and then measuring progress against those targets. DevOps Research and Assessment (DORA) provides a standard set of DevOps metrics used for evaluating course of efficiency and maturity. These metrics present details about how rapidly DevOps can reply to adjustments, the typical time to deploy code, the frequency of iterations, and perception into failures.<\/p>\n<h2>The Means To Implement Dora Metrics<\/h2>\n<p>In summary, DORA is a great way for corporations to measure and improve their development process. Not solely does it furnish significant knowledge that can pinpoint areas for enhancement in the process, however it additionally presents an industry-wide normal. DORA offers highly effective and actionable insights, making it the proper software to assist DevOps groups succeed.<\/p>\n<p>DORA metrics (DevOps Research &amp; Assessment) are a set of metrics used to measure the performance of an organization\u2019s DevOps execution. These metrics define the areas an organization should concentrate on throughout their DevOps transformation initiatives. From this knowledge, a pattern linking success to the mastery of technical practices has emerged. The DORA group outlines specific metrics to track and work towards to find a way to get the most out of your product.<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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width=\"309px\" alt=\"dora stands for in devops\"\/><\/p>\n<p>Use DORA metrics to trace progress and measure success, but also move past these metrics to grasp the context  of the software development process. DORA metrics provide a benchmark for evaluating your team&#8217;s efficiency in opposition to trade requirements and top-performing organizations. This benchmarking lets you establish areas the place your staff excels and areas where there could be room for enchancment, serving to you set realistic targets and drive steady enchancment efforts.<\/p>\n<h2>Are You An Elite Devops Performer? Find Out With The 4 Keys Project<\/h2>\n<p>Then, organisations can determine alternatives to improve the quality of adjustments being deployed. A lower Change Failure Rate is usually considered higher as a result of it signifies that changes are extra doubtless to be successful and never cause disruptions to service. Additionally, a lower Build Failure Rate (as a result of a lower Change Failure Rate) means it\u2019s easier to isolate issues and optimise specific pipelines. The objective of measuring this DORA metric is to understand how often adjustments are being made to the manufacturing surroundings and to establish alternatives to increase the velocity and frequency of deployments. A larger Deployment Frequency is generally a good thing as a result of it signifies that the organisation can quickly and effectively deliver new options and bug fixes to clients.<\/p>\n<p>Deployment frequency (DF) measures how typically groups push changes to the operational setting in addition to the variety of profitable deployments. To consider DF, groups can use technical instruments to monitor and report modifications throughout the operational setting and tie post-deployment assessment into the help desk. DORA, standing for DevOps Research and Assessment, has established a set of industry-standard metrics that empower you to exactly gauge your software supply performance. These metrics act as a roadmap, guiding you in the course of optimized DevOps practices and bridging any gaps within your Software Development Lifecycle (SDLC). Lead Time for Changes is a key indicator of the efficiency and effectiveness of an organisation\u2019s improvement and deployment course of. By figuring out and lowering bottlenecks within the course of, organisations can make adjustments and ship them to customers faster.<\/p>\n<h2>Expand Automation And Agile Development Processes<\/h2>\n<p>The DORA metrics have two distinct categories \u2013 process and consequence metrics. Process metrics measure specific parameters throughout the software program growth cycle, including time required to fix bugs or how quickly new options <a href=\"https:\/\/www.globalcloudteam.com\/\" target=\"_blank\" rel=\"noopener\">https:\/\/www.globalcloudteam.com\/<\/a> are deployed. The change failure fee provides visibility into how usually a deployment to production wants an immediate fix to address a degradation in product performance or an outage.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>These metrics work for any kind of technology your organization is delivering, but are best suited for measuring one utility or service at a time. Use our quick verify device to find how you compare to industry peers, identify particular capabilities you can use to improve performance, and make progress in your software supply objectives. [&hellip;]<\/p>\n","protected":false},"author":21,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-801","post","type-post","status-publish","format-standard","hentry","category-software-development-4"],"_links":{"self":[{"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/posts\/801","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/comments?post=801"}],"version-history":[{"count":1,"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/posts\/801\/revisions"}],"predecessor-version":[{"id":802,"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/posts\/801\/revisions\/802"}],"wp:attachment":[{"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/media?parent=801"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/categories?post=801"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dr-heshmati.ir\/index.php\/wp-json\/wp\/v2\/tags?post=801"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}