# Optimizing a live full-stack deployment (K8s + JVM) The following study shows how to optimize the cost of a Kubernetes deployment considering also some JMV parameters in the optimization. Notice that, except for the JVM portion, the study is the same as the study in the example [Optimizing a live K8s deployment](https://docs.akamas.io/akamas-docs/3.1.2/knowledge-base/optimizing-a-live-k8s-deployment). {% code lineNumbers="true" %} ```yaml name: Optimize Kubernetes Container + JVM system: My Deployment + JVM workflow: workflow goal: objective: minimize function: formula: cost_csv.cost constraints: absolute: - name: adservice-response-time-slo formula: adservice_istio.istio_incoming_response_time_90_ms <= 10 - name: adservice-restart-slo formula: adservice_pod.k8s_pod_container_restarts:max == 0 - name: adservice-failures-slo formula: adservice_istio.istio_incoming_failed_transactions / adservice_istio.istio_incoming_success_transactions <= 0.1 workloadsSelection: - name: adservice_istio.istio_incoming_service_throughput optimizerOptions: onlineMode: RECOMMEND experimentsWithBeta: 0 safetyFactor: 0.6 explorationFactor: 0.1 optimizerEngineVersion: 1.5.3rc5 windowing: type: trim trim: [1m, 0s] task: Test parametersSelection: - name: adservice_jvm.jvm_inlineSmallCode - name: adservice_jvm.jvm_maxInlineSize domain: [1, 500] - name: adservice_jvm.jvm_maxHeapFreeRatio - name: adservice_jvm.jvm_minHeapFreeRatio - name: adservice_jvm.jvm_gcType - name: adservice_jvm.jvm_parallelGCThreads domain: [1, 2] - name: adservice_jvm.jvm_concurrentGCThreads domain: [1, 2] - name: adservice_jvm.jvm_maxTenuringThreshold - name: adservice_jvm.jvm_compilationThreads domain: [2, 4] - name: adservice_jvm.jvm_newSize domain: [16, 300] - name: adservice_jvm.jvm_survivorRatio - name: adservice_jvm.jvm_minHeapSize domain: [16, 300] - name: adservice_jvm.jvm_maxHeapSize domain: [16, 300] - name: adservice_jvm.jvm_alwaysPreTouch - name: adservice_jvm.jvm_useTransparentHugePages - name: adservice.cpu_request domain: [10, 300] - name: adservice.memory_request domain: [64, 512] parameterConstraints: - name: concGC_below_parGC formula: adservice_jvm.jvm_concurrentGCThreads <= adservice_jvm.jvm_parallelGCThreads - name: newSize_10Of_maxHeap formula: adservice_jvm.jvm_newSize >= 0.1 * adservice_jvm.jvm_maxHeapSize - name: newSize_90Of_maxHeap formula: adservice_jvm.jvm_newSize <= 0.9 * adservice_jvm.jvm_maxHeapSize - name: minHeap_10Of_maxHeap formula: adservice_jvm.jvm_minHeapSize >= 0.1 * adservice_jvm.jvm_maxHeapSize - name: minHeap_below_maxHeap formula: adservice_jvm.jvm_minHeapSize <= adservice_jvm.jvm_maxHeapSize steps: - name: baseline type: baseline numberOfTrials: 14 values: adservice.cpu_request: 300 adservice.memory_request: 200 adservice_jvm.jvm_gcType: "Parallel" - name: in_domain_baseline type: preset numberOfTrials: 14 values: adservice.cpu_request: 300 adservice.memory_request: 200 adservice_jvm.jvm_gcType: "Parallel" adservice_jvm.jvm_maxHeapSize: 96 adservice_jvm.jvm_minHeapSize: 16 adservice_jvm.jvm_inlineSmallCode: 2048 adservice_jvm.jvm_maxInlineSize: 35 adservice_jvm.jvm_maxHeapFreeRatio: 100 adservice_jvm.jvm_minHeapFreeRatio: 1 adservice_jvm.jvm_parallelGCThreads: 1 adservice_jvm.jvm_concurrentGCThreads: 1 adservice_jvm.jvm_maxTenuringThreshold: 15 adservice_jvm.jvm_compilationThreads: 2 adservice_jvm.jvm_newSize: 16 adservice_jvm.jvm_survivorRatio: 8 adservice_jvm.jvm_alwaysPreTouch: '-AlwaysPreTouch' adservice_jvm.jvm_useTransparentHugePages: '-UseTransparentHugePages' - name: optimize type: optimize numberOfTrials: 14 numberOfExperiments: 5 numberOfInitExperiments: 0 maxFailedExperiments: 1000 - name: serial_GC_pretouch_thp type: preset numberOfTrials: 14 values: adservice.cpu_request: 300 adservice.memory_request: 200 adservice_jvm.jvm_maxHeapSize: 96 adservice_jvm.jvm_minHeapSize: 16 adservice_jvm.jvm_inlineSmallCode: 2048 adservice_jvm.jvm_maxInlineSize: 35 adservice_jvm.jvm_maxHeapFreeRatio: 100 adservice_jvm.jvm_minHeapFreeRatio: 1 adservice_jvm.jvm_parallelGCThreads: 1 adservice_jvm.jvm_concurrentGCThreads: 1 adservice_jvm.jvm_maxTenuringThreshold: 15 adservice_jvm.jvm_compilationThreads: 2 adservice_jvm.jvm_newSize: 16 adservice_jvm.jvm_survivorRatio: 8 adservice_jvm.jvm_gcType: "Serial" adservice_jvm.jvm_alwaysPreTouch: '+AlwaysPreTouch' adservice_jvm.jvm_useTransparentHugePages: '+UseTransparentHugePages' - name: optimize2 type: optimize numberOfTrials: 14 numberOfExperiments: 5 numberOfInitExperiments: 0 maxFailedExperiments: 1000 - name: ConcMarkSweep_GC type: preset numberOfTrials: 14 values: adservice.cpu_request: 300 adservice.memory_request: 200 adservice_jvm.jvm_maxHeapSize: 96 adservice_jvm.jvm_minHeapSize: 16 adservice_jvm.jvm_inlineSmallCode: 2048 adservice_jvm.jvm_maxInlineSize: 35 adservice_jvm.jvm_maxHeapFreeRatio: 100 adservice_jvm.jvm_minHeapFreeRatio: 1 adservice_jvm.jvm_parallelGCThreads: 1 adservice_jvm.jvm_concurrentGCThreads: 1 adservice_jvm.jvm_maxTenuringThreshold: 15 adservice_jvm.jvm_compilationThreads: 2 adservice_jvm.jvm_newSize: 16 adservice_jvm.jvm_survivorRatio: 8 adservice_jvm.jvm_gcType: "ConcMarkSweep" adservice_jvm.jvm_alwaysPreTouch: '+AlwaysPreTouch' adservice_jvm.jvm_useTransparentHugePages: '+UseTransparentHugePages' - name: optimize3 type: optimize numberOfTrials: 14 numberOfExperiments: 5 numberOfInitExperiments: 0 maxFailedExperiments: 1000 - name: G1_GC type: preset numberOfTrials: 14 values: adservice.cpu_request: 300 adservice.memory_request: 200 adservice_jvm.jvm_maxHeapSize: 96 adservice_jvm.jvm_minHeapSize: 16 adservice_jvm.jvm_inlineSmallCode: 2048 adservice_jvm.jvm_maxInlineSize: 35 adservice_jvm.jvm_maxHeapFreeRatio: 100 adservice_jvm.jvm_minHeapFreeRatio: 1 adservice_jvm.jvm_parallelGCThreads: 1 adservice_jvm.jvm_concurrentGCThreads: 1 adservice_jvm.jvm_maxTenuringThreshold: 15 adservice_jvm.jvm_compilationThreads: 2 adservice_jvm.jvm_newSize: 16 adservice_jvm.jvm_survivorRatio: 8 adservice_jvm.jvm_gcType: "G1" adservice_jvm.jvm_alwaysPreTouch: '+AlwaysPreTouch' adservice_jvm.jvm_useTransparentHugePages: '+UseTransparentHugePages' - name: optimize4 type: optimize numberOfTrials: 14 numberOfExperiments: 5 numberOfInitExperiments: 0 maxFailedExperiments: 1000 - name: ParNew_GC type: preset numberOfTrials: 14 values: adservice.cpu_request: 300 adservice.memory_request: 200 adservice_jvm.jvm_maxHeapSize: 96 adservice_jvm.jvm_minHeapSize: 16 adservice_jvm.jvm_inlineSmallCode: 2048 adservice_jvm.jvm_maxInlineSize: 35 adservice_jvm.jvm_maxHeapFreeRatio: 100 adservice_jvm.jvm_minHeapFreeRatio: 1 adservice_jvm.jvm_parallelGCThreads: 1 adservice_jvm.jvm_concurrentGCThreads: 1 adservice_jvm.jvm_maxTenuringThreshold: 15 adservice_jvm.jvm_compilationThreads: 2 adservice_jvm.jvm_newSize: 16 adservice_jvm.jvm_survivorRatio: 8 adservice_jvm.jvm_gcType: "ParNew" adservice_jvm.jvm_alwaysPreTouch: '+AlwaysPreTouch' adservice_jvm.jvm_useTransparentHugePages: '+UseTransparentHugePages' - name: optimize5 type: optimize numberOfTrials: 14 numberOfExperiments: 1000 numberOfInitExperiments: 0 maxFailedExperiments: 1000 ``` {% endcode %} Note that in this study a present step has been specified with the specific value (category) of categorical parameters, as otherwise, the optimizer would only consider a category that has already been seen in the configurations history. For more details, please refer to the [Optimize step](https://docs.akamas.io/akamas-docs/3.1.2/akamas-reference/construct-templates/study-template/steps/optimize-step) page of the reference guide. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.akamas.io/akamas-docs/3.1.2/knowledge-base/optimizing-a-live-full-stack-deployment-k8s-+-jvm.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.