1. Server Performance Tuning
Kernel-Level Optimization
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Custom-Tuned Kernels: Linux 6.x with BBR2 congestion control
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TCP Stack Tweaks:
# Increase TCP max buffer sizes echo 'net.core.rmem_max=4194304' >> /etc/sysctl.conf echo 'net.core.wmem_max=4194304' >> /etc/sysctl.conf
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Swappiness Adjustment: Set to 10 for database servers
Database Optimization
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MySQL 8.0+ Specific:
SET GLOBAL innodb_buffer_pool_size=12G; -- For 16GB RAM servers SET GLOBAL innodb_io_capacity=2000; -- For SSD/NVMe storage
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PostgreSQL 14+ Tuning:
ALTER SYSTEM SET shared_buffers = '4GB'; ALTER SYSTEM SET effective_cache_size = '12GB';
2. Advanced Security Configurations
Zero-Trust Implementation
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Network Segmentation:
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Frontend servers in DMZ with strict ingress rules
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Database servers in private VLAN with whitelisted IPs only
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Service-to-Service Auth:
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Mutual TLS (mTLS) for internal communications
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SPIFFE/SPIRE for identity management
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Runtime Protection:
# Install and configure Falco for runtime security curl -s https://falco.org/repo/falcosecurity-3672BA8F.asc | apt-key add - echo "deb https://download.falco.org/packages/deb stable main" | tee -a /etc/apt/sources.list.d/falcosecurity.list apt-get update && apt-get install -y falco
3. Container & Orchestration Setup
Kubernetes Optimization
# Production-grade K8s manifest snippet apiVersion: apps/v1 kind: Deployment spec: template: spec: containers: - name: app resources: limits: cpu: "2" memory: "4Gi" requests: cpu: "1" memory: "2Gi" topologySpreadConstraints: - maxSkew: 1 topologyKey: kubernetes.io/hostname whenUnsatisfiable: ScheduleAnyway
Service Mesh Configuration
# Istio optimized settings istioctl install --set profile=default \ --set values.global.proxy.resources.limits.cpu=2000m \ --set values.global.proxy.resources.limits.memory=1024Mi
4. CI/CD Pipeline Integration
GitOps Workflow
// Jenkinsfile example for zero-downtime deployments pipeline { stages { stage('Deploy') { steps { sh 'kubectl apply -f k8s/ --prune -l app=myapp' timeout(time: 15, unit: 'MINUTES') { input message: 'Approve Production?' } } } } post { failure { slackSend channel: '#alerts', message: "Build ${currentBuild.number} failed!" } } }
5. Monitoring Stack Deployment
Observability Suite
# Prometheus + Grafana + Loki stack
version: '3'
services:
prometheus:
image: prom/prometheus:v2.40.0
command:
- '--config.file=/etc/prometheus/prometheus.yml'
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml
grafana:
image: grafana/grafana:9.3.2
ports:
- "3000:3000"
Custom Metrics Collection
# Sample Python exporter for custom business metrics from prometheus_client import start_http_server, Gauge import random REQUEST_LATENCY = Gauge('app_request_latency', 'Application latency in ms') if __name__ == '__main__': start_http_server(8000) while True: REQUEST_LATENCY.set(random.randint(1, 100))
6. Disaster Recovery Protocols
Automated Failover Testing
# Chaos engineering script #!/bin/bash # Randomly terminate nodes to test resilience NODES=$(kubectl get nodes -o jsonpath='{.items[*].metadata.name}') TARGET=$(shuf -e -n1 $NODES) echo "Terminating node $TARGET" gcloud compute instances delete $TARGET --zone=us-central1-a
7. Edge Computing Extensions
CDN Advanced Rules
// Cloudflare Workers script for edge logic addEventListener('fetch', event => { event.respondWith(handleRequest(event.request)) }) async function handleRequest(request) { const url = new URL(request.url) if (url.pathname.startsWith('/api/')) { return new Response('Blocked at edge', { status: 403 }) } return fetch(request) }
8. Cost Optimization Strategies
Spot Instance Automation
# AWS Spot Fleet configuration
resource "aws_spot_fleet_request" "workers" {
iam_fleet_role = "arn:aws:iam::123456789012:role/spot-fleet"
target_capacity = 10
allocation_strategy = "diversified"
launch_specification {
instance_type = "m5.large"
ami = "ami-123456"
spot_price = "0.05"
}
}
