Expectations • Kubernetes Capabilities/Advantages to Build DevOps Solution • Architecture and Features • CRD and operator design • Pipeline / Stage/ Task / Task Template / Version Control • Logging Expectations • Kubernetes Capabilities and Advantages to Build DevOps Solution • Architecture and Features • CRD and operator design • Pipeline/Stage/Task/Task Template/Version Control/UI generation/Volume can define raw k8s job, more features can be enabled • Leverage all k8s resources and extensibility to fulfill various requirements, prompt innovation • New features of k8s may help enhance or improve

total total 1076 The next release Kops 1.5 wanted new features Kops 1.5 wanted new features brittle dev process Kops 1.5 wanted new features brittle dev process falling behind Kops 1.5 ..also

Monitoring & troubleshooting ● Sharing with non-technical stakeholders ● Infrequent tasks ● Onboarding new K8s users / learning Kubectl Strengths: ● In-Terminal workflows ● Frequently-repeated tasks ● ● Scripting & automation ● Sharing workflows / reproducibility ● Customization Onboarding new K8s users https://unsplash.com/ Over 50% of survey takers said that Dashboard is very useful or extremely K8s learning tool Create, read, update, delete resources. Recent and upcoming features https://unsplash.com/ Features since 2016 KubeCon update ● Exec into pod ● Global search ● Login mechanism

As the consequence of the first issue, it was hard for us to extend Project X to keep up with new features released in Kubernetes or Nomad. Not Easily Extendable • Because we hid complexity from our Scalable • In the case of traffic spike, for instance, we can spin up new containers much more quickly than setting up new VMs. Faster MTTR Project X was used as deployment tool for Go-Jek International

engineer @ Microsoft, San Francisco • Azure Cloud Native Compute team • Kubernetes upstream features, Azure Kubernetes Service @ritazzhang OpenAI Scaling Kubernetes to 2,500 Nodes https://blog about containers, kubernetes and all that stuff • Pachyderm can version datasets and trigger new trainings when changes occur • Distributed File Systems • NFS • HDFS • … Classic DevOps solutions:

Resource Scheduler (DRS) is a load balancer for VMs deployed on a hypervisor cluster. It has advanced features that can provider actual guaranteed resource reservations, not just shares. It also incorporates VMware infrastructure. vSphere cloud provider Architectural planning and discussion related to new CRDs, plug-ins and KEPs that allow the vSphere platform to supplement and support Kubernetes How

Original Pod Updating Pod Updated Pod OK StatefulSetPlus StatefulSetPlus Batch Gray Release Key Features: Ø Manual/Auto Batch Gray Release Ø Multi-Batch Rollback Ø Multi-Batch InPlaceUpdate Ø Support offline containers‘ cgroup to ensure the SLA of online tasks without breaking offline tasks. Key Features: Ø In-Place Update without restarting container Ø High-performance Ø Safe autoscaling decisions

LibOS (Occlum [1]) [1] https://github.com/occlum/occlum Occlum: SGX Dev Made Easy Occlum: Major Features Occlum: Container-Inspired Interface Demo • The purpose of this demo is to • Demonstrate TEE

Resource Scheduler (DRS) is a load balancer for VMs deployed on a hypervisor cluster. It has advanced features that can provider actual guaranteed resource reservations, not just shares. It also incorporates

inability to manage an unsupported version of the Operand in the status section of the CR Lifecycle features • Operator provides the ability to create backups of the Operand • Operator is able to restore