Within the past few years, our client has launched a location initiative to develop a cloud-based collaborative ecosystem that offers predictive machine learning as well as unique shared real-time and historical data from onboard vehicle sensors and multilayer maps. This first-in-its-class platform is an integrated development environment that enables the development of proprietary solutions based on the platform\u2019s shared assets.<\/p>\n
![\"Continuous](\"https:\/\/d17ocfn2f5o4rl.cloudfront.net\/wp-content\/uploads\/2018\/04\/AWS-continious-integration.png\")
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Our client came\u00a0with\u00a0the challenge<\/h2>\n
As an innovator in the fields of mapping and navigation, our client runs a chain of research and development centers that continuously develop its product portfolio and viable market-ready prototypes. Daily, tens of thousands of tests, code integrations, and builds are performed in their AWS continuous integration solutions and continuous delivery (CI\/CD) pipeline.<\/p>\n
In 2017, after two years of collaboration, Intellias took ownership of a large share of the product portfolio pertaining to our client\u2019s map production and automotive solutions<\/a>. At that time, our DevOps team responsible for CI\/CD monitoring, support, and automation was still working at the client\u2019s site in Germany. After six months, our Intellias teams started experiencing frequent obstacles due to delays in incident response and communication. Given the sheer number of commits, tests, and builds, our client\u2019s team was physically unable to promptly respond to emergencies.<\/p>\n Another challenge lay in reconfiguring the execution of tens of thousands of automated tests that could contain numerous implicit and explicit dependencies and were run multiple times a day. To avoid large buildups of failed tests, they had to be executed early in the software development lifecycle.<\/p>\n Since Intellias was performing all related development, testing, and release planning activities, our client decided to also build a mature DevOps team with Intellias. In view of the large volume of tests to handle, we hired four highly skilled DevOps practitioners with proven experience in provisioning, automating, and managing complex end-to-end deployment pipelines on Amazon Web Services.<\/p>\n The DevOps team<\/a> set off as an extension of our client\u2019s team. We started by analyzing the CI\/CD environment and identified key directions for improvements and getting benefits of continuous integration<\/a>. Initially, we implemented the shift left approach to allow error-prone<\/em> tests to fail as early as possible by configuring their execution sequence. This practice freed up more time to fix defects, facilitated debugging, shortened test cycles, and decreased the number of unpredictable issues at the end of the development cycle and in production.<\/p>\n Delays in incident response was another issue that required our attention. Our team redesigned the test execution schedule to enable more test runs during the day. This technique helped prevent large queues of failed tests from piling up throughout the night when no one was monitoring them.<\/p>\n Additionally, we enhanced the cooperation among Intellias and our client\u2019s project teams by optimizing the feedback system and reorganizing the recipient list of affected parties. Developers and other stakeholders were sent timely reports on test execution metrics, deployment failures, and code integration issues. Optimizing feedback helped speed up issue detection and code modifications.<\/p>\n Since the start of our collaboration, our Intellias DevOps team has been progressively enhancing the efficiency and performance of our client\u2019s cloud-based deployment environment and automated release management. We\u2019ve not only extended and re-engineered the execution of 40,000+ automated tests but also ramped up to 2.5 million test runs per day. Building deployment-ready artifacts that have undergone rigorous testing procedures have become faster, less costly, and hassle-free. This enhances continuous integration release management and increases release velocity and will eventually improve business results thanks to cloud-based continuous integration.<\/p>\n We\u2019ve completely replicated and complemented the expertise of our client\u2019s DevOps team, taking over their responsibilities for automated release management and AWS continuous integration and web development. Apart from managing our client\u2019s deployment pipeline, our team also monitors and maintains the health of a proprietary testing framework that validates the integrity and compatibility of NDS maps prior to release.<\/p>\n Intellias\u2019 team is now shifting focus toward a newer, more challenging project \u2013 a cloud-based collaborative location ecosystem. Our team will grow as we expect the workload to at least double from what we\u2019re handling now.<\/p>\n Our continuous integration services have translated into:<\/strong><\/p>\nIntellias developed the solution<\/h3>\n
We achieved great results together<\/h2>\n
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