Cloud Foundry Weekly: Exploring Platform Automation with Tony Elmore : Episode 13
Our special guest this week is Tony Elmore. We will deep-dive into Platform Automation with Tanzu Application Service. Tony will share his work on optimizing Platform Automation pipelines, which focuses on reducing the overall execution time of pipelines, making failed pipelines easier to find and troubleshoot, and simplifying how products are configured. Don't miss this episode to see how you can optimize your pipelines across all IaaS.
In this episode, we learn some interesting patterns such as:
Separation of product upload/stage from errand runs to reduce pipeline run time
Increase resilience in the operation of errands with multiple retries
More defined gitops approach to foundation management
Enhanced flexibility in how to utilize your pipelines
Opinions and best practices on streamlining & templatizing pipelines for flexibility and consistency
Guest Bio:
Tony Elmore's LinkedIn: / tonyelmore
Tony Elmore is a Staff Solution Architect at Broadcom specializing in the Tanzu Platform. With over 6 years at Pivotal and Broadcom, Tony excels in building and maintaining Cloud Foundry platforms. His expertise spans platform engineering, application development, and product management across diverse industries, including finance, insurance, medical, aerospace, and government.
Tony's versatile skill set and leadership in both technical and product areas make him a valuable resource. He's also an experienced educator, having taught courses on Java, .NET, Agile, Patterns, JavaScript, and Object-Oriented Design to major companies.
Links:
Platform Automation Toolkit: https://network.pivotal.io/products/p...
Watch video Cloud Foundry Weekly: Exploring Platform Automation with Tony Elmore : Episode 13 online without registration, duration hours minute second in high quality. This video was added by user Cloud Foundry Weekly 01 January 1970, don't forget to share it with your friends and acquaintances, it has been viewed on our site 139 once and liked it 3 people.