实际案例Kubernetes on Supporting 1 Million Bike-Taxi Drivers in IndonesiaCPU, memory, etc. are more effectively utilized in container world than in VMs. Efficiency • Automatic service discovery allows engineers to not maintain any configuration for multi-data center deployments0 码力 | 37 页 | 34.65 MB | 1 年前3- QCon北京2017/智能化运维/Self Hosted Infrastructure：以自动运维 Kubernetes 为例Bootkube - Upgraded via Kubernetes APIs and an Operator - Automated by single-button or fully automatic Self driving Cluster is running v1.4.3 and configured to run v1.4.5 ● API Server is v1.4.3 ●0 码力 | 73 页 | 1.58 MB | 1 年前3
- Serverless Kubernetes - 理想，现实和未来-张维deployment/statfulset/job/service/ingress/CRD • ALB Ingress: 基于SLB 7 layer • Knative serving on ASK：automatic scaling in knative • 集成ARMS, SLS Elastic Container Instance ECI ECI ECI ECI ECI ECI ECI0 码力 | 20 页 | 2.27 MB | 1 年前3
KubeCon2020/大型Kubernetes集群的资源编排优化4)*10=11 (1-0.5)*10+(1-0.6)*10=9 Assigned to Node1 DeScheduler If the pod is enabled high-load automatic migration Node2 Real Load Level Pod1 Pod2 Pod3 Node3 Real Load Level Pod2 Node1 Real Load0 码力 | 27 页 | 3.91 MB | 1 年前3- vmware组Kubernetes on vSphere Deep Dive KubeCon China VMware SIGplane and worker nodes. 2 levels of scheduling and resource management are active. Currently no automatic scheduling integration occurs, that is, Kubernetes is not aware of the underlying vSphere topology0 码力 | 25 页 | 2.22 MB | 1 年前3
- VMware SIG Deep Dive into Kubernetes Schedulingplane and worker nodes. 2 levels of scheduling and resource management are active. Currently no automatic scheduling integration occurs, that is, Kubernetes is not aware of the underlying vSphere topology0 码力 | 28 页 | 1.85 MB | 1 年前3
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