Andy Anderson
IBM Research, KubeStellar Community Maintainer
Stamford, Connecticut, United States
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Andy is an experienced software architect with a strong track record of leading research and engineering teams on hybrid cloud and Kubernetes-based platform development. He has a wealth of experience in software development, cloud computing, and data analysis.
Andy is particularly adept at combining continuous integration and delivery practices, containerization and orchestration technologies, and cloud computing products and services for use with platform engineering efforts.
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Topics
Blue Green and Canary Deployments on AWS EKS using external-dns, Route 53, and KubeStellar
This session explores canary and blue-green deployment strategies using AWS EKS, external-dns, Route 53, and KubeStellar in multi-cluster environments. Based on the speaker's experiences, attendees will gain practical insights into managing clusters across different VPCs and regions.
Canary deployments gradually introduce a new version, while blue-green maintains two identical production environments for extensive testing. The presentation includes detailed information regarding the challenges encountered during deployment on AWS EKS with ALB, based on the author's experiences. Despite following the AWS documentation, hurdles, including those from a lack of EKS knowledge, led to unexpected results. The session presents the potential for using KubeStellar in achieving successful canary and blue-green deployments in multi-cluster environments, avoiding pitfalls encountered along the way.
Edge, Multi-Cluster, and Multi-Cloud Configuration Management with KubeStellar
KubeStellar is a community working on ways to enable the CNCF ecosystem to manage heterogeneous edge locations with precision and without requiring bundling of objects. KubeStellar supports many different kubernetes distributions such as kind, kubernetes, kcp, OpenShift, HyperShift, and others. KubeStellar uses denatured views and logical clusters to transmit and apply standard and customized kubernetes object types to remote edge locations. KubeStellar prioritizes modularity and abstraction to support flexibility, extensibility, and choice to users of our project.
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