Merge "Kubernetes pod recovery test plan and report"
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commit
f812999925
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FROM debian:latest
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ENV DEBIAN_FRONTEND noninteractive
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RUN apt-get update && apt-get -y upgrade
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RUN apt-get -y --no-install-recommends install python
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ENTRYPOINT ["python", "-m", "SimpleHTTPServer"]
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apiVersion: extensions/v1beta1
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kind: Deployment
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metadata:
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name: svc
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spec:
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replicas: 1
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template:
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metadata:
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labels:
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app: svc
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annotations:
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scheduler.alpha.kubernetes.io/affinity: '{"nodeAffinity": {"requiredDuringSchedulingIgnoredDuringExecution":
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{"nodeSelectorTerms": [{"matchExpressions": [{"key": "kubernetes.io/hostname",
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"operator": "In", "values": ["node4", "node5", "node6"]}]}]}}}'
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spec:
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containers:
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- name: svc
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image: 127.0.0.1:31500/qa/svc
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ports:
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- containerPort: 8000
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apiVersion: v1
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kind: Service
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metadata:
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name: svc
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spec:
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ports:
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- nodePort: 32333
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port: 8000
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protocol: TCP
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targetPort: 8000
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selector:
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app: svc
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type: NodePort
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80
doc/source/test_plans/kubernetes_pod_recovery/plan.rst
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80
doc/source/test_plans/kubernetes_pod_recovery/plan.rst
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.. _Kubernetes_pod_recovery_test_plan:
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*********************************
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Kubernetes POD recovery test plan
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*********************************
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:status: **ready**
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:version: 1.0
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:Abstract:
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This test plan covers scenarios for Kuberneter POD recovery testing.
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Test Plan
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=========
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In Kubernetes "classic" HTTP-based services can be represented with help of
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replication controller and service. Replication controller is responsible
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for keeping number of PODs constant and in restarts POD in case of failure.
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If the POD is deleted, then replication controller creates a new one.
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Depending on scheduler settings a new instance of POD can be scheduled
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to a different node.
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Under service performance we mean the amount of work produced by a service,
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for HTTP service this can be measured as number of requests per second.
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Test Environment
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----------------
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Preparation
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^^^^^^^^^^^
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The test plan is executed against Kubernetes deployed on bare-metal nodes.
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Environment description
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^^^^^^^^^^^^^^^^^^^^^^^
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The environment description includes hardware specification of servers,
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network parameters, operation system and OpenStack deployment characteristics.
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Test Case #1: POD restart
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-------------------------
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Description
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^^^^^^^^^^^
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In this test case we investigate how POD rescheduling affects service
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performance.
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Steps:
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* Build Docker image and push it into local registry:
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``docker build -t localhost:31500/qa/svc code/``
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``docker push localhost:31500/qa/svc
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* Create Kubernetes Service and Deployments based on files
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:download:`code/svc-dpl.yaml` and :download:`code/svc-svc.yaml`
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* Measure service performance during 20 seconds:
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``wrk -c 20 -d 10 -t 20 -H "Connection: close" --latency --timeout 10s http://svc.ccp:8000/``
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* While measurement is running delete the pod via
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``kubectl delete pod -l app=svc``
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List of performance metrics
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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.. table:: list of test metrics to be collected during this test
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+-------------------------+---------------------------------------------+
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| Parameter | Description |
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+=========================+=============================================+
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| RPS_BASE | Base RPS value |
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+-------------------------+---------------------------------------------+
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| RPS_WHILE_RESCHEDULING | RPS measured during rescheduling |
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+-------------------------+---------------------------------------------+
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Reports
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=======
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Test plan execution reports:
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* :ref:`Kubernetes_pod_recovery_test_report`
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.. _Kubernetes_pod_recovery_test_report:
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******************************
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Kubernetes density test report
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******************************
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:Abstract:
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This document is the report for :ref:`Kubernetes_pod_recovery_test_plan`
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Environment description
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=======================
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This report is collected on the hardware described in
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:ref:`intel_mirantis_performance_lab_1`.
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Software
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~~~~~~~~
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Kubernetes is installed using :ref:`Kargo` deployment tool on Ubuntu 16.04.1.
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Node roles:
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- node1: minion+master+etcd
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- node2: minion+master+etcd
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- node3: minion+etcd
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- node4: minion
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Software versions:
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- OS: Ubuntu 16.04.1 LTS (Xenial Xerus)
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- Kernel: 4.4.0-47
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- Docker: 1.12.1
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- Kubernetes: 1.4.3
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Reports
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=======
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Test Case #1: POD restart
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-------------------------
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With Kubernetes support of gracefully POD restart the service downtime is
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minimized and may result in several requests to fail. The following chart is
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based on 11 measurements: column 1 - no POD restart, 2 - with POD restart:
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.. image:: chart.png
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.. list-table:: POD stats
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:header-rows: 1
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*
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- RPS_BASE
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- RPS_WHILE_RESCHEDULING
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*
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- 1136 (stddev 162)
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- 818 (stddev 158)
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