fan.speed,te mperature.gpu,pstate,po wer.draw,power.limit,me mory.used,memory.total, utilization.gpu,ecc.errors. uncorrected.aggregate.to tal

按需使用，如果是纯内存计算的时候，使用 blocking mutex 比较好。 生产实践 – Mixed workload Write Read Compact Runtimes 问题： CeresDB 监控写 OSS 耗时高， OSS 监控看耗时低。 生产实践 – Mixed workload runtime.spawn(task0) runtime.spawn(task1) runtime spawn(task3) 生产实践 – Mixed workload cpu_runtime.spawn(task0) cpu_runtime.spawn(task1) cpu_runtime.spawn(task2) cpu_runtime.spawn(task3) 生产实践 – Preemption 总结： Mixed workload: 碰到混合负载的时候，把 CPU 密集型任务隔离出去

07-28 11:00 CronHPA takes over the work HPA takes over the work HPA takes over the work If workload still high load and HPA maxReplicas > CronHPA replicas CronHPA scale up How to solve the problem

apiVersion: v1 kind: Pod metadata: name: nginx-untrusted annotations: io.kubernetes.cri.untrusted-workload: "true" spec: containers: - name: nginx image: nginx EOT Rust- VMM Demo Future Works

No language or platform is good for everything. Fast inner loop Makes UX easy Has tooling for workload High performance Avoids costly abstractions What the vendor providesA quick note on the details

e code is hard… • There are many factors to consider: • Measurement: Throughput vs latency? • Workload: Proportion of reads vs writes • Hotness: Does the data fit in cache? • Contention: How many threads

host: reviews trafficPolicy: tls: mode: ISTIO_MUTUAL 1) Generate client and server certificates and keys 2) Create a secret for the ingress gateway: productpage-credential 3) Define a gateway curl command: need attaching certificate file Access productpage 1) Generate client and server certificates and keys 2) Create a secret for the ingress gateway: productpage-credential 3) Define a gateway