From 06caad79334a123467734eef56b368062d7cca4c Mon Sep 17 00:00:00 2001 From: lukeqiu Date: Fri, 29 Apr 2022 11:06:36 +0800 Subject: [PATCH] add docs for crane-scheduler --- README.md | 1 + docs/images/dynamic-scheduler-plugin.png | Bin 0 -> 238067 bytes docs/index.md | 8 + docs/index.zh.md | 6 + docs/installation.md | 5 + docs/installation.zh.md | 5 + docs/tutorials/dynamic-scheduler-plugin.md | 32 +++ ...heduling-pods-based-on-actual-node-load.md | 213 ++++++++++++++++++ mkdocs.yml | 1 + 9 files changed, 271 insertions(+) create mode 100644 docs/images/dynamic-scheduler-plugin.png create mode 100644 docs/tutorials/dynamic-scheduler-plugin.md create mode 100644 docs/tutorials/scheduling-pods-based-on-actual-node-load.md diff --git a/README.md b/README.md index e6fd54b0e..6d8156ebc 100644 --- a/README.md +++ b/README.md @@ -23,6 +23,7 @@ The goal of Crane is to provide a one-stop-shop project to help Kubernetes users - Effective Pod Autoscaling (Effective Horizontal & Vertical Pod Autoscaling) - Cost Optimization - **Enhanced QoS** based on Pod PriorityClass +- **Load-aware Scheduling** Crane Overview diff --git a/docs/images/dynamic-scheduler-plugin.png b/docs/images/dynamic-scheduler-plugin.png new file mode 100644 index 0000000000000000000000000000000000000000..43f5eb64497cb9948e490400500b416e80104bb0 GIT binary patch literal 238067 zcmeFZd00|w*FSD%(psW~7jDNab%DJ#cvN>Qmy%{d1| zM8Qra&Xf}hDwYWeA}In20$+U2bDrm%_kExD_x}0&Bd&{!eeG-SecyZC>t1VpK5H!= zU$rrp|7GtlGBPsqmn|;X$;fQr$;hl3TEA9$rmHJ>R7Pe~p#S;vS1+GGuXZ&I?CT%o zBO_z+I5T^lbNb~SclpOITUeaiaN*3A@77zVFJ4)H;@(|{cb6<=HympF?Zr*4gkK6g zF4Vj#+5e=V;O_9&7(=-j!0|Un=r_(@a}ZmvGG%KK0mM2gE+;=fCx6CimrTA&fkSQr zLpDuIBkj|a=ietyRv4F=fSTZc$D^EH*_w8)YR7> zdipXz;(R0P`2Mp%uV-3pFRccbgS57QNO=4ajVm6iGruBBI#sLI1a7-B+#!nlZT_>i zC~({Q_rDJY5(+jR>Ug{tVA^-@lN{GQZ+}lBX?W7{_hyTt@n337nonNSRj}2#i?C;@ z5})n*pkB)PkQf$u;OpShMAw;36L(Lx%KkE}^X@|0>JL5n;rTzZqYujdxV!1r>U|-f 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zGQ!$?-1|~5n>i(9vT=pcbd0B|1GTy_i=t#Y5g0OP(5~S_DZ8k$CXa| z3D+dKmg?E;jGQiAZ@pJVpetK4}M+E={PiW`&%~EiE29*IM{BRGoR&Q$TE<`Kh#UtExg-IcA_dc zF}?bpGH)Pj=a@$-BAtFix^Fq7hdrc||lH^G>K|Bq+=?YI6ejsN?I zKl-1)yQcr0#Q#mm|0hoW6Q@5K&;MDc|BFTbpP%?YsSrf%|8sVKcTs + + +As shown above, Dynamic scheduler relies on `Prometheus` and `Node-exporter` to collect and aggregate metrics data, and it consists of two components: +- `Node-annotator` periodically pulls data from Prometheus and marks them with timestamp on the node in the form of annotations. +>**Note:** `Node-annotator` is currently a module of `Crane-scheduler-controller`. +- `Dynamic plugin` reads the load data directly from the node's annotation, filters and scores candidates based on a simple algorithm. + +### Scheduler Policy +Dynamic provides a default [scheduler policy](../deploy/manifests/policy.yaml) and supports user-defined policies. The default policy reies on following metrics: +- `cpu_usage_avg_5m` +- `cpu_usage_max_avg_1h` +- `cpu_usage_max_avg_1d` +- `mem_usage_avg_5m` +- `mem_usage_max_avg_1h` +- `mem_usage_max_avg_1d` + +At the scheduling `Filter` stage, the node will be filtered if the actual usage rate of this node is greater than the threshold of any of the above metrics. And at the `Score` stage, the final score is the weighted sum of these metrics' values. + +### Hot Value +In the production cluster, scheduling hotspots may occur frequently because the load of the nodes can not increase immediately after the pod is created. Therefore, we define an extra metrics named `Hot Value`, which represents the scheduling frequency of the node in recent times. And the final priority of the node is the final score minus the `Hot Value`. + diff --git a/docs/tutorials/scheduling-pods-based-on-actual-node-load.md b/docs/tutorials/scheduling-pods-based-on-actual-node-load.md new file mode 100644 index 000000000..fd5d52702 --- /dev/null +++ b/docs/tutorials/scheduling-pods-based-on-actual-node-load.md @@ -0,0 +1,213 @@ +# Crane-scheduler + +## Overview +Crane-scheduler is a collection of scheduler plugins based on [scheduler framework](https://kubernetes.io/docs/concepts/scheduling-eviction/scheduling-framework/), including: + +- [Dynamic scheuler: a load-aware scheduler plugin](./dynamic-scheduler-plugin.md) + +## Get Started + +### 1. Install Prometheus +Make sure your kubernetes cluster has Prometheus installed. If not, please refer to [Install Prometheus](https://github.com/gocrane/fadvisor/blob/main/README.md#prerequests). + +### 2. Configure Prometheus Rules +1) Configure the rules of Prometheus to get expected aggregated data: +```yaml +apiVersion: monitoring.coreos.com/v1 +kind: PrometheusRule +metadata: + name: example-record +spec: + groups: + - name: cpu_mem_usage_active + interval: 30s + rules: + - record: cpu_usage_active + expr: 100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[30s])) * 100) + - record: mem_usage_active + expr: 100*(1-node_memory_MemAvailable_bytes/node_memory_MemTotal_bytes) + - name: cpu-usage-5m + interval: 5m + rules: + - record: cpu_usage_max_avg_1h + expr: max_over_time(cpu_usage_avg_5m[1h]) + - record: cpu_usage_max_avg_1d + expr: max_over_time(cpu_usage_avg_5m[1d]) + - name: cpu-usage-1m + interval: 1m + rules: + - record: cpu_usage_avg_5m + expr: avg_over_time(cpu_usage_active[5m]) + - name: mem-usage-5m + interval: 5m + rules: + - record: mem_usage_max_avg_1h + expr: max_over_time(mem_usage_avg_5m[1h]) + - record: mem_usage_max_avg_1d + expr: max_over_time(mem_usage_avg_5m[1d]) + - name: mem-usage-1m + interval: 1m + rules: + - record: mem_usage_avg_5m + expr: avg_over_time(mem_usage_active[5m]) +``` +>**⚠️Troubleshooting:** The sampling interval of Prometheus must be less than 30 seconds, otherwise the above rules(such as cpu_usage_active) may not take effect. +2) Update the configuration of Prometheus service discovery to ensure that node_exporters/telegraf are using node name as instance name: +```yaml + - job_name: kubernetes-node-exporter + tls_config: + ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt + insecure_skip_verify: true + bearer_token_file: /var/run/secrets/kubernetes.io/serviceaccount/token + scheme: https + kubernetes_sd_configs: + ... + # Host name + - source_labels: [__meta_kubernetes_node_name] + target_label: instance + ... +``` +>**Note:** This step can be skipped if the node name itself is the host IP. + +### 3. Install Crane-scheduler +There are two options: +1) Install Crane-scheduler as a second scheduler: + ```bash + helm repo add crane https://gocrane.github.io/helm-charts + helm install scheduler -n crane-system --create-namespace --set global.prometheusAddr="REPLACE_ME_WITH_PROMETHEUS_ADDR" crane/scheduler + ``` +2) Replace native Kube-scheduler with Crane-scheduler: + 1) Backup `/etc/kubernetes/manifests/kube-scheduler.yaml` + ```bash + cp /etc/kubernetes/manifests/kube-scheduler.yaml /etc/kubernetes/ + ``` + 2) Modify configfile of kube-scheduler(`scheduler-config.yaml`) to enable Dynamic scheduler plugin and configure plugin args: + ```yaml + apiVersion: kubescheduler.config.k8s.io/v1beta2 + kind: KubeSchedulerConfiguration + ... + profiles: + - schedulerName: default-scheduler + plugins: + filter: + enabled: + - name: Dynamic + score: + enabled: + - name: Dynamic + weight: 3 + pluginConfig: + - name: Dynamic + args: + policyConfigPath: /etc/kubernetes/policy.yaml + ... + ``` + 3) Create `/etc/kubernetes/policy.yaml`, using as scheduler policy of Dynamic plugin: + ```yaml + apiVersion: scheduler.policy.crane.io/v1alpha1 + kind: DynamicSchedulerPolicy + spec: + syncPolicy: + ##cpu usage + - name: cpu_usage_avg_5m + period: 3m + - name: cpu_usage_max_avg_1h + period: 15m + - name: cpu_usage_max_avg_1d + period: 3h + ##memory usage + - name: mem_usage_avg_5m + period: 3m + - name: mem_usage_max_avg_1h + period: 15m + - name: mem_usage_max_avg_1d + period: 3h + + predicate: + ##cpu usage + - name: cpu_usage_avg_5m + maxLimitPecent: 0.65 + - name: cpu_usage_max_avg_1h + maxLimitPecent: 0.75 + ##memory usage + - name: mem_usage_avg_5m + maxLimitPecent: 0.65 + - name: mem_usage_max_avg_1h + maxLimitPecent: 0.75 + + priority: + ##cpu usage + - name: cpu_usage_avg_5m + weight: 0.2 + - name: cpu_usage_max_avg_1h + weight: 0.3 + - name: cpu_usage_max_avg_1d + weight: 0.5 + ##memory usage + - name: mem_usage_avg_5m + weight: 0.2 + - name: mem_usage_max_avg_1h + weight: 0.3 + - name: mem_usage_max_avg_1d + weight: 0.5 + + hotValue: + - timeRange: 5m + count: 5 + - timeRange: 1m + count: 2 + ``` + 4) Modify `kube-scheduler.yaml` and replace kube-scheduler image with Crane-scheduler: + ```yaml + ... + image: docker.io/gocrane/crane-scheduler:0.0.23 + ... + ``` + 1) Install [crane-scheduler-controller](deploy/controller/deployment.yaml): + ```bash + kubectl apply ./deploy/controller/rbac.yaml && kubectl apply -f ./deploy/controller/deployment.yaml + ``` + +### 4. Schedule Pods With Crane-scheduler +Test Crane-scheduler with following example: +```yaml +apiVersion: apps/v1 +kind: Deployment +metadata: + name: cpu-stress +spec: + selector: + matchLabels: + app: cpu-stress + replicas: 1 + template: + metadata: + labels: + app: cpu-stress + spec: + schedulerName: crane-scheduler + hostNetwork: true + tolerations: + - key: node.kubernetes.io/network-unavailable + operator: Exists + effect: NoSchedule + containers: + - name: stress + image: docker.io/gocrane/stress:latest + command: ["stress", "-c", "1"] + resources: + requests: + memory: "1Gi" + cpu: "1" + limits: + memory: "1Gi" + cpu: "1" +``` +>**Note:** Change `crane-scheduler` to `default-scheduler` if `crane-scheduler` is used as default. + +There will be the following event if the test pod is successfully scheduled: +```bash +Type Reason Age From Message +---- ------ ---- ---- ------- +Normal Scheduled 28s crane-scheduler Successfully assigned default/cpu-stress-7669499b57-zmrgb to vm-162-247-ubuntu +``` diff --git a/mkdocs.yml b/mkdocs.yml index 98206640d..d704ea1ce 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -69,6 +69,7 @@ nav: - Analytics and Recommendation: tutorials/analytics-and-recommendation.md - Qos Ensurance: tutorials/using-qos-ensurance.md - Time Series Prediction: tutorials/using-time-series-prediction.md + - Load-aware Scheduling: tutorials/scheduling-pods-based-on-actual-node-load.md - Proposals: - Advanced CpuSet Manager: proposals/20220228-advanced-cpuset-manger.md - Contributing: CONTRIBUTING.md