How Ada’s Platform Team Scaled Development Workflows with Kubernetes
Ada, an ai-powered customer service automation platform, is experiencing rapid growth. As their customer base grew so did their technology stack. This resulted in developer toil, slower deployment cycles and frustrated engineers.
Check out this replay from Robert D’lppolito, Engineering Manager - Developer Automation & Deployment Engineering at Ada as he discusses, how Ada’s platform team went on to find a solution that improved engineering workflows and streamlined development processes which ultimately created a top notch developer experience as well as better quality software.
If you are an engineering or platform leader this session is for you.
▬▬▬▬▬▬ HELPFUL VIDOES ▶️ ▬▬▬▬▬▬
▶️ How to Create Self-service Kubernetes Dev Environments
• Use Loft + DevPod to create Self Service D...
▶️ Platform Engineering on Kubernetes for Accelerating Engineering Workflows
• Platform Engineering on Kubernetes for Acc...
▶️ How to Gain Back Velocity and Achieve Efficiency with Kubernetes
• How to Gain Back Velocity and Achieve Effi...
▶️ Using Virtual Clusters for Development and CI/CD Workflows
• Using Virtual Clusters for Development and...
▬▬▬▬▬▬ ADDITIONAL RESOURCES 📚 ▬▬▬▬▬▬
► How Codefresh Uses vcluster to Provide Hosted Argo CD
https://loft.sh/blog/how-codefresh-us...
► Platform Engineering on Kubernetes for Accelerating Development Workflows
https://loft.sh/blog/platform-enginee...
► Kubernetes for All – Why Every Engineer Should Have Direct Access to Kubernetes
https://loft.sh/blog/kubernetes-for-a...
► Platform Engineering + Kubernetes Workflows - Adding Services and Dependencies
https://loft.sh/blog/platform-enginee...
► Platform Engineering + Kubernetes Workflows - Adding Environment Variables and Changing Configurations
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