# 安装Prometheus
$ dnf install -y prometheus
$ systemctl start prometheus
$ systemctl enable prometheus

# 安装Grafana
$ dnf install -y grafana
$ systemctl start grafana-server
$ systemctl enable grafana-server

# 安装Tuned
$ dnf install -y tuned
$ systemctl start tuned
$ systemctl enable tuned

# 配置Prometheus
$ vi /etc/prometheus/prometheus.yml
—
global:
scrape_interval: 15s

scrape_configs:
– job_name: ‘node’
static_configs:
– targets: [‘localhost:9100’]

– job_name: ‘prometheus’
static_configs:
– targets: [‘localhost:9090’]
—

# 配置Tuned
$ vi /etc/tuned/custom-profile/tuned.conf
—
[main]
summary=Custom profile for performance tuning

[cpu]
governor=performance
energy_perf_bias=performance

[disk]
readahead=4096

[network]
tcp_fastopen=1
—

$ tuned-adm profile custom-profile

# 验证部署
$ systemctl status prometheus
$ systemctl status grafana-server
$ systemctl status tuned
$ tuned-adm active

# 安装性能分析工具
$ dnf install -y perf sysstat iotop htop

# 配置sysstat
$ vi /etc/sysconfig/sysstat
—
ENABLED=”true”
—

$ systemctl start sysstat
$ systemctl enable sysstat

# 配置系统参数
$ vi /etc/sysctl.conf
—
# CPU调优
kernel.sched_autogroup_enabled=0
kernel.sched_migration_cost_ns=5000000

# 内存调优
vm.swappiness=10
vm.vfs_cache_pressure=50

# 磁盘调优
vm.dirty_background_ratio=5
vm.dirty_ratio=10

# 网络调优
net.core.somaxconn=65535
net.ipv4.tcp_max_syn_backlog=65535
net.ipv4.tcp_fin_timeout=30
net.ipv4.tcp_keepalive_time=300
net.ipv4.tcp_keepalive_probes=5
net.ipv4.tcp_keepalive_intvl=15
—

$ sysctl -p

# 验证部署
$ perf –version
$ sysstat –version
$ htop –version

## 1. 配置CPU调优
$ vi /etc/tuned/cpu-performance/tuned.conf
—
[main]
summary=Optimize for CPU performance

[cpu]
governor=performance
energy_perf_bias=performance
min_perf_pct=100
—

$ tuned-adm profile cpu-performance

## 2. 配置内存调优
$ vi /etc/tuned/memory-performance/tuned.conf
—
[main]
summary=Optimize for memory performance

[vm]
transparent_hugepages=always
—

$ tuned-adm profile memory-performance

## 3. 配置磁盘调优
$ vi /etc/tuned/disk-performance/tuned.conf
—
[main]
summary=Optimize for disk performance

[disk]
readahead=4096
scheduler=deadline
—

$ tuned-adm profile disk-performance

## 4. 配置网络调优
$ vi /etc/tuned/network-performance/tuned.conf
—
[main]
summary=Optimize for network performance

[network]
tcp_fastopen=1
txqueuelen=1000
—

$ t更多学习教程公众号风哥教程itpux_comuned-adm profile network-performance

## 5. 配置应用调优
$ vi /etc/systemd/system/myapp.service
—
[Unit]
Description=My Application
After=network.target

[Service]
Type=simple
ExecStart=/usr/bin/myapp
Restart=always
CPUQuota=50%
MemoryLimit=1G
LimitNOFILE=65536

[Install]
WantedBy=multi-user.target
—

$ systemctl daemon-reload
$ systemctl restart myapp

# 验证系统性能调优平台进阶策略
# 检查CPU调优
$ cat /sys/devices/system/cpu/cpu*/cpufreq/scaling_governor

# 检查内存调优
$ cat /sys/kernel/mm/transparent_hugepage/enabled

# 检查磁盘调优
$ cat /sys/block/sda/queue/scheduler
$ blockdev –getra /dev/sda

# 检查网络调优
$ sysctl net.core.somaxconn

# 检查应用调优
$ systemctl status myapp

## 1. 创建Jenkinsfile
$ vi Jenkinsfile
—
pipeline {
agent any

stages {
stage(‘Checkout’) {
steps {
git branch: ‘main’, url: ‘https://github.com/example/performance-tuning.git’
}
}

stage(‘Benchmark Test’) {
steps {
sh ‘sysbench cpu –cpu-max-prime=20000 run’
sh ‘sysbench memory –memory-total-size=1G run’
sh ‘sysbench fileio –file-total-size=1G –file-test-mode=rndrw run’
}
}

stage(‘Apply Tuning’) {
steps {
sh ‘ansible-playbook playbooks/apply-tuning.yml’
}
}

stage(‘Verify Performance’) {
steps {
sh ‘sysbench cpu –cpu-max-prime=20000 run’
sh ‘sysbench memory –memory-total-size=1G run’
sh ‘sysbench fileio –file-total-size=1G –file-test-mode=rndrw run’
}
}
}

post {
always {
archiveArtifacts artifacts: ‘**/sysbench-*.log’, fingerprint: true
}
success {
echo ‘Performance tuning pipeline completed successfully!’
}
failure {
echo ‘Performance tuning pipeline failed!’
mail to: ‘admin@fgedu.net.cn’, subject: ‘Performance tuning pipeline failure’, body: ‘Performance tuning pipeline failed in Jenkins’
}
}
}
—

# 集成系统性能调优平台进阶与监控系统
# 配置Prometheus + Grafana

## 1. 配置Prometheus监控
$ vi /etc/prometheus/prometheus.yml
—
global:
scrape_interval: 15s

scrape_configs:
– job_name: ‘node’
static_configs:
– targets: [‘localhost:9100’]

– job_name: ‘prometheus’
static_configs:
– targets: [‘localhost:9090’]

– job_name: ‘kubernetes’
kubernetes_sd_configs:
– role: endpoints
scheme: https
tls_config:
ca_file: /var/run/secrets/kubernetes.io/serviceaccount/ca.crt
bearer_token_file: /var/run/secrets/ku学习交流加群风哥QQ113257174bernetes.io/serviceaccount/token
—

## 2. 配置Grafana仪表盘
# 导入性能监控仪表盘

# 集成系统性能调优平台进阶与容器编排系统
# 配置Kubernetes

## 1. 配置容器资源限制
$ vi deployment.yml
—
apiVersion: apps/v1
kind: Deployment
metadata:
name: myapp
namespace: default
spec:
replicas: 3
selector:
matchLabels:
app: myapp
template:
metadata:
labels:
app: myapp
spec:
containers:
– name: myapp
image: myapp:latest
resources:
requests:
memory: “512Mi”
cpu: “500m”
limits:
memory: “1Gi”
cpu: “1”
ports:
– containerPort: 80
—

$ kubectl apply -f deployment.yml

# 验证系统性能调优平台进阶集成
# 检查CI/CD集成
# 运行Jenkins Pipeline

# 检查监控集成
$ curl http://prometheus-server:9090/targets

# 检查容器编排集成
$ kubectl get pods
$ kubectl describe pod 风哥提示：