Explore a comprehensive solution for highly scalable browser and device farms using Kubernetes and Selenium Grid in this 50-minute conference talk. Dive into the challenges posed by cloud computing and microservices to Selenium Grid-based solutions for concurrent UI automation test execution. Learn how to optimize cloud costs, address the needs of micro-frontends, and improve feedback cycle speed in pre-merge pipelines. Discover the benefits of using Kubernetes with Docker, Helm, and Traefik to create on-demand unique grids, achieve faster creation and deletion of hubs/nodes, and optimize resource allocation. Gain valuable insights on fine-tuning CPU and memory for browser pods, configuring resources for different scale hubs, and implementing a long-term solution for companies transitioning to the cloud. Cover topics such as continuous testing pipelines, micro-frontends, multi-cloud environments, autoscaling worker nodes, EKS on Fargate, resource QoS, and cost optimization strategies.
Kubernetes and Selenium Grid for Highly Scalable Browser and Device Farm
Overview
Syllabus
Intro
Key Tenets of Continuous Testing Pipeline
Data Centre/Jenkins
Micro-frontends
Multiple Cloud A/C
Solution
Big Picture
End to End flow
Limiting access to NLB
Creating - Scaling
Autoscaling of Worker Nodes
EKS on Fargate - Serverless
Warm Worker Node Pool
Https based Hub
Resource Qos
One browser per Pod
Hub and Node in different subnet
Selenium Changes and Cost
Prevent IP Address bleeding - EKS
CLOUD PROVIDERS VS SELENIUM GRID
SPOT INSTANCE IN EKS
SCALE THE TEST INFRASTRUCTURE
SCALE THE TEST RUNNERS VERTICALLY
RETURN ON INVESTMENT
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