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How to Make Kubernetes Rhyme with Prod-Readiness Tiffany Jernigan VMware Matthias Häußler Novatec

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@maeddes @tiffanyfayj Who we are Tiffany Jernigan Sr. Dev Advocate, VMware @tiffanyfayj Matthias Häußler Chief Technologist, Novatec @maeddes

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@maeddes @tiffanyfayj Why this talk?

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@maeddes @tiffanyfayj

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@maeddes @tiffanyfayj 🎉 🎉 🥰 🥰 🥳

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@maeddes @tiffanyfayj What is production readiness?

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@maeddes @tiffanyfayj 🎉 🎉 🥰 🥰 🥳

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@maeddes @tiffanyfayj Prod readiness in detail ● Has undergone rigorous testing and quality assurance ● Ensured it’s reliable, stable and secure ● Performs optimally under expected load and traffic conditions ● Adaptive to unexpected load/traffic conditions and failures ● Properly documented & described ● Consistently and repeatably buildable ● Monitored and Observable - Ability to identify and resolve issues quickly ● "Future-proofing": Being able to upgrade to patch security issues

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@maeddes @tiffanyfayj What does “vanilla” Kubernetes provide?

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@maeddes @tiffanyfayj @maeddes @tiffanyfayj

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@maeddes @tiffanyfayj What is “vanilla” Kubernetes missing?

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@maeddes @tiffanyfayj Summary

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@maeddes @tiffanyfayj Infrastructure

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@maeddes @tiffanyfayj Infrastructure

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@maeddes @tiffanyfayj Networking - Inbound traffic @maeddes @tiffanyfayj

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@maeddes @tiffanyfayj Networking - Traffic control

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@maeddes @tiffanyfayj Networking - Traffic control

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@maeddes @tiffanyfayj O11y

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@maeddes @tiffanyfayj O11y

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@maeddes @tiffanyfayj Security - API Access / RBAC

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@maeddes @tiffanyfayj Workloads

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@maeddes @tiffanyfayj Workloads

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@maeddes @tiffanyfayj Workloads

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@maeddes @tiffanyfayj Workloads

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@maeddes @tiffanyfayj GitSecOps

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@maeddes @tiffanyfayj “Summary”

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@maeddes @tiffanyfayj Summary

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@maeddes @tiffanyfayj pod logs logs observability kubelet logs control plane logs metrics-server metrics time series database (Prom, etc) tracing tracing ingress controller networking service mesh Gateway API network policies security secret manager PVC backups infrastructure/ backups control plane backups (if applicable) cluster autoscaler (when applicable)

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@maeddes @tiffanyfayj Infrastructure

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@maeddes @tiffanyfayj Network

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@maeddes @tiffanyfayj Observability

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@maeddes @tiffanyfayj Security

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@maeddes @tiffanyfayj Workloads

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@maeddes @tiffanyfayj And now what?

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@maeddes @tiffanyfayj Management

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@maeddes @tiffanyfayj Novatec Training Environment

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@maeddes @tiffanyfayj Cloud vs On-Prem

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@maeddes @tiffanyfayj Managed vs Self-Hosted @maeddes @tiffanyfayj

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@maeddes @tiffanyfayj Summary ● In the end there is no right or wrong, it is more about the decision where to invest the time and money ■ Maintain the stack yourself -> Invest in the skill and have it in-house ■ Have someone done it for you -> Invest in service providers ● In general we recommend to use the highest abstraction possible Don’t solve problems which have already been solved! ● Using and relying on a ready tested platform will let you focus more on higher abstractions -> your apps! ● If there is a managed solution that suits your needs -> use it! ● If you want to manage the stack yourself -> get enablement & consultancy

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@maeddes @tiffanyfayj Please reach out to us! Tiffany Jernigan Sr. Dev Advocate, VMware @tiffanyfayj Matthias Häußler Chief Technologist, Novatec @maeddes Feedback :)

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@maeddes @tiffanyfayj Sponsor Shout-Out! Thank you to our Session Recording Sponsor: