Applying DevOps in Network-centric Video Surveillance Solution
Executive Summary
The client designs embedded applications for video surveillance, retail analytics, public safety and asset management. Using an open networking platform, they wanted to launch a breakthrough video surveillance solution with analytics to help facility owners and municipalities streamline their business goals for maximum cost savings.
Since the solution uses a large number of live embedded nodes, a major challenge for the client was to manage the long release time and production deployment complexities for each and every node. Manual deployment was time-consuming as it involved a lot of dependencies: receiving build from development teams, deploying on test nodes, creating video recording configurations, validating results, testing for accuracy, and finally, continuous monitoring and troubleshooting.
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Executive Summary
The client designs embedded applications for video surveillance, retail analytics, public safety and asset management. Using an open networking platform, they wanted to launch a breakthrough video surveillance solution with analytics to help facility owners and municipalities streamline their business goals for maximum cost savings.
Since the solution uses a large number of live embedded nodes, a major challenge for the client was to manage the long release time and production deployment complexities for each and every node. Manual deployment was time-consuming as it involved a lot of dependencies: receiving build from development teams, deploying on test nodes, creating video recording configurations, validating results, testing for accuracy, and finally, continuous monitoring and troubleshooting.
Fill in the details below
Executive Summary
The client designs embedded applications for video surveillance, retail analytics, public safety and asset management. Using an open networking platform, they wanted to launch a breakthrough video surveillance solution with analytics to help facility owners and municipalities streamline their business goals for maximum cost savings.
Since the solution uses a large number of live embedded nodes, a major challenge for the client was to manage the long release time and production deployment complexities for each and every node. Manual deployment was time-consuming as it involved a lot of dependencies: receiving build from development teams, deploying on test nodes, creating video recording configurations, validating results, testing for accuracy, and finally, continuous monitoring and troubleshooting.
Fill in the details below