Optimizing Application Performance on Kubernetes
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The document discusses optimizing application performance on Kubernetes, highlighting the importance of hardware tuning, observability, and proper resource requests and limits for pods. It presents various Kubernetes configurations, including deployment, limit ranges, and autoscaling mechanisms to enhance performance and minimize service disruption. Additionally, the document mentions using tools like Kruize for container optimization and stresses the significance of application-specific scaling metrics.
Optimizing Application Performance on Kubernetes
- 1. Optimizing Application Performance on Kubernetes Dinakar Guniguntala @dinogun Runtimes Cloud Architect, IBM
- 2. @dinogun 2 “When you interact with IBM, this serves as your authorization to Saltmarch Media India Pvt. Ltd. or its vendor to provide your contact information to IBM in order for IBM to follow up on your interaction. IBM's use of your contact information is governed by the IBM Privacy Policy. “
- 3. @dinogun 3 Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services, that facilitates both declarative configuration … blah blah blah Kitna Deti Hai ?* Any questions ? * What's the mileage ?
- 6. @dinogun 6 BIOS ● CPU Power and Performance Policy: <Performance> OS / Hypervisor ● CPU Scaling governor: <Performance> $ cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_available_governors performance powersave $ cat /sys/devices/system/cpu/cpu0/cpufreq/scaling_governor Performance Hyperthreading ● Do not count hyperthreading while capacity planning Don’t forget the hardware !
- 7. @dinogun 7 What is the granularity of observation ? ● Trade-off between accurate info and overhead Additional Operational Info ● Spring Actuator ● HealthCenter Observability
- 8. @dinogun 8 QoS classes Guaranteed Burstable BestEffort Right Size !apiVersion: apps/v1 kind: Deployment metadata: name: acmeair labels: app: acmeair-app spec: replicas: 1 selector: matchLabels: app: acmeair-deployment template: metadata: labels: name: acmeair-deployment app: acmeair-deployment app.kubernetes.io/name: "acmeair-mono" version: v1 spec: volumes: - name: test-volume hostPath: path: "/root/icp/jLogs" type: "" containers: - name: acmeair-libertyapp image: dinogun/acmeair-monolithic imagePullPolicy: Always ports: - containerPort: 8080 resources: requests: memory: 500M cpu: 2 limits: memory: 1024M cpu: 3 volumeMounts: - name: "test-volume" mountPath: "/opt/jLogs" Ensure LimitRange does not get in the way of your deployment ! apiVersion: v1 kind: LimitRange metadata: name: limit-range spec: limits: - default: cpu: 1 memory: 512Mi defaultRequest: cpu: 0.5 memory: 256Mi type: Container Requests → Should cover the observed peaks Limits → Handle any spikes !
- 9. @dinogun 9 HPA, VPA and CAapiVersion: autoscaling/v2beta2 kind: HorizontalPodAutoscaler metadata: name: php-apache spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: php-apache minReplicas: 1 maxReplicas: 10 metrics: - type: Resource resource: name: cpu target: type: Utilization averageUtilization: 50 - type: Pods pods: metric: name: packets-per-second target: type: AverageValue averageValue: 1k - type: Object object: metric: name: requests-per-second describedObject: apiVersion: networking.k8s.io/v1beta1 kind: Ingress name: main-route target: type: Value value: 10k Set HPA with app specific metrics - type: External external: metric: name: concurrent_connections selector: "connection=current" target: type: Value Value: 1200 apiVersion: policy/v1beta1 kind: PodDisruptionBudget metadata: name: zk-pdb spec: maxUnavailable: 1 selector: matchLabels: app: zookeeper Use PodDisruptionBudget with CA to ensure no service disruption
- 10. @dinogun 10 Kruize Right size and Optimize your Containers ! https://github.com/kruize/kruize
- 11. @dinogun 11 Summary ● Don’t forget to tune the hardware ● Observability is key ● Ensure requests and limits are set for all app pods ● Use app specific scaling metrics ● Ensure no disruption with PDB ● Kruize can help you optimize your runtime – Eg. JVM tunables such as -XX:MaxRAMPercentage
- 12. @dinogun 12 Discount kitna milega ?* ?!!!! Questions → @dinogun * Something tells me that doesn’t need to be translated !!