Visão Geral

O curso Rocky Linux Performance and Tuning, foi projetado para administradores de sistemas e profissionais de TI que desejam otimizar o desempenho de servidores Rocky Linux em ambientes de produção. O curso aborda técnicas avançadas de ajuste de desempenho, monitoramento de sistema, diagnóstico de problemas e implementação de soluções para garantir que os servidores operem com o máximo de eficiência e confiabilidade. Com foco prático, os participantes aprenderão a identificar gargalos de desempenho e aplicar estratégias de otimização em redes, armazenamento, CPU e memória.

Objetivo

Após realizar este Curso Rocky Linux Performance and Tuning, você será capaz de:

• Monitorar e analisar o desempenho de servidores Rocky Linux.
• Identificar gargalos de desempenho em CPU, memória, rede e I/O de disco.
• Aplicar técnicas de ajuste para otimizar a performance do sistema.
• Implementar práticas recomendadas de tuning para ambientes de produção.
• Utilizar ferramentas avançadas de monitoramento e análise de desempenho.

Publico Alvo

• Administradores de sistemas que desejam aprimorar o desempenho de servidores Rocky Linux.
• Profissionais de TI responsáveis pela manutenção e otimização de ambientes Linux.
• Engenheiros de desempenho e entusiastas de tuning de sistemas operacionais.

Pre-Requisitos

• Conhecimento prévio em administração de sistemas Linux.
• Experiência com Rocky Linux ou outros sistemas baseados em Linux.

Informações Gerais

• Curso ao vivo via Microsoft Teams, na presença de um instrutor/consultor ativo no mercado e docente em sala de aula.
• Curso prático, com um aluno por micro.
• Laboratório individual disponibilizado no dia do curso.
• Apostilas e material de suporte.
• Método de aprendizado que combina teoria e prática durante todo o curso.

Materiais

Conteúdo Programatico

Introduction to Performance Tuning

1. Importance of Performance Tuning in Production Environments
2. Overview of Rocky Linux Performance Features
3. Identifying Key Performance Metrics

System Monitoring and Performance Analysis Tools

1. Introduction to Monitoring Tools (top, htop, iostat, vmstat, sar)
2. Using systemctl and journalctl for Monitoring Services
3. Real-Time Monitoring with Nagios, Prometheus, and Grafana
4. Analyzing System Logs and Performance Data

CPU Performance Tuning

1. Identifying CPU Bottlenecks and Load Balancing
2. Managing CPU Scheduling and Prioritization
3. Optimizing Multi-Core Processing
4. CPU Frequency Scaling and Turbo Boost

Memory Optimization

1. Monitoring and Managing Memory Usage
2. Tuning Swap Space and Virtual Memory
3. Analyzing Memory Allocation with free, vmstat, and slabtop
4. Avoiding Memory Leaks and Reducing Paging Activity

Disk I/O and File System Optimization

1. Monitoring Disk I/O Performance with iostat, blktrace, and fio
2. Choosing the Right File System for Optimal Performance (ext4, XFS, etc.)
3. Tuning Disk Scheduling Algorithms (CFQ, deadline, noop)
4. Managing Disk Caching and Write-Back Strategies

Network Performance Tuning

1. Diagnosing Network Bottlenecks
2. Optimizing TCP/IP Stack and Kernel Parameters
3. Network Interface Card (NIC) Tuning for High Performance
4. Managing Network Buffers and Reducing Latency

Kernel and System Tuning

1. Modifying Kernel Parameters with sysctl
2. Optimizing the Linux Scheduler for Performance
3. Tuning Cgroups for Resource Allocation and Isolation
4. Handling Interrupts and Reducing Context Switching

Tuning for Virtualization

1. Optimizing Rocky Linux in Virtualized Environments (KVM, VMware)
2. Resource Allocation and CPU Pinning for Virtual Machines
3. Tuning for Hypervisors and Containers (Docker, Podman)
4. Performance Best Practices for Virtualized Servers

Application and Database Tuning

1. Tuning Apache/Nginx for High Traffic Scenarios
2. Optimizing MySQL/MariaDB Performance
3. Managing Application Caching with Redis and Memcached
4. Performance Testing and Load Balancing for Applications

System Resource Management

1. Advanced Usage of cgroups and systemd for Resource Limiting
2. Resource Contention Management with Nice and Ionice
3. Using ulimit to Control Resource Consumption
4. Monitoring Resource Usage and Limiting Overhead

High Availability and Load Balancing

1. Setting Up High Availability Clusters with Pacemaker and Corosync
2. Implementing Load Balancing with HAProxy
3. Performance Considerations for High Availability Environments

Backup and Recovery Performance

1. Tuning Backup Strategies for Minimal Performance Impact
2. Scheduling Backups to Reduce System Load
3. Optimizing Data Transfer Rates for Backup and Recovery

Security and Performance Trade-offs

1. Understanding the Impact of Security Configurations on Performance
2. Balancing SELinux and Firewall Rules with System Performance
3. Optimizing Security Audits and Logging

Final Lab: Comprehensive System Tuning

1. Hands-on lab focusing on full-system optimization for a Rocky Linux server in a real-world scenario.
2. Performance benchmarking and reporting.