Curriculum Overview: AWS Compute, Storage, and Database Performance Optimization

Prerequisites

Before diving into the performance optimization strategies for AWS compute, storage, and database resources, learners must have a solid foundational understanding of cloud operations. Ensure you meet the following prerequisites to maximize your success in this curriculum:

• AWS Cloud Practitioner Knowledge: Familiarity with the AWS Global Infrastructure, basic cloud concepts, and the AWS Shared Responsibility Model.
• Core Services Experience: Hands-on experience provisioning Amazon EC2 instances, creating S3 buckets, and deploying basic Amazon RDS databases.
• Networking Fundamentals: Understanding of VPCs, subnets, route tables, and security groups.
• CLI & Console Proficiency: Ability to navigate the AWS Management Console and execute basic commands using the AWS Command Line Interface (CLI).
• Basic Monitoring Concepts: Introductory knowledge of Amazon CloudWatch metrics, logs, and alarms.

[!IMPORTANT] If you are unfamiliar with reading performance metrics such as CPU Utilization, Disk Read/Write Operations, or Network In/Out, we highly recommend reviewing foundational AWS monitoring concepts before starting Module 1.

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Module Breakdown

This curriculum is designed to progressively build your expertise in identifying bottlenecks and implementing optimizations across the three pillars of AWS workloads: Compute, Storage, and Databases.

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Learning Objectives per Module

Module 1: Compute Optimization

• Analyze compute metrics: Identify rightsizing opportunities by interpreting CloudWatch metrics and using AWS Compute Optimizer.
• Remediate performance problems: Transition workloads to appropriate instance families (e.g., from General Purpose to Compute Optimized).
• Optimize networking & placement: Implement EC2 placement groups (Cluster, Partition, Spread) to reduce network latency and enable enhanced networking capabilities like the Elastic Network Adapter (ENA).

Module 2: Block & Shared File Storage (EBS, EFS, FSx)

• Troubleshoot EBS IOPS issues: Monitor Amazon EBS performance metrics and calculate IOPS limits.
  • Formula for gp2 baseline IOPS: $IOPS = \text{Volume Size in GB} \times 3$
• Optimize Volume Types: Transition between gp2, gp3, io1, and io2 based on workload requirements to improve performance and reduce cost.
• Evaluate Shared Storage: Select and optimize Amazon EFS and Amazon FSx based on specific throughput and access patterns, utilizing EFS lifecycle policies for cost efficiency.

Module 3: Object Storage & Data Transfer (S3)

• Accelerate Data Transfer: Implement S3 Transfer Acceleration, AWS DataSync, and multipart uploads to maximize throughput for large datasets.
• Enhance Storage Efficiency: Design S3 Lifecycle policies to automatically transition data to appropriate storage classes (e.g., Standard-IA, Glacier) without degrading access performance for hot data.

Module 4: Database Optimization (RDS)

• Monitor RDS Metrics: Utilize Amazon RDS Performance Insights and CloudWatch alarms to identify slow queries and database load bottlenecks.
• Increase Performance Efficiency: Apply proactive recommendations, configure Read Replicas to offload read traffic, and implement RDS Proxy to manage unpredictable spikes in database connections.

Module 5: Continuous Optimization & Cost

• Align Performance with Cost: Use AWS Cost Explorer and Cost Anomaly Detection to ensure that performance tuning does not lead to unchecked spending.
• Automate Remediation: Run custom and predefined Systems Manager Automation runbooks to automate tuning tasks.

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Success Metrics

How will you know you have mastered this curriculum? You should be able to consistently achieve the following benchmarks:

• Metric Analysis Proficiency: Successfully interpret a CloudWatch dashboard showing degraded application performance and accurately identify whether the bottleneck is CPU, Disk I/O, or Database Connections.
• Rightsizing Execution: Use AWS Compute Optimizer to recommend changes for at least 5 simulated over-provisioned or under-provisioned resources.
• Storage Optimization: Convert a standard S3 bucket into an optimized lifecycle-managed bucket and upgrade an EBS gp2 volume to gp3 while tuning IOPS and throughput independently.
• Database Tuning: Successfully configure an RDS Proxy and demonstrate a reduction in database connection overhead during a load-testing simulation.
• Exam Readiness: Score 85% or higher on the performance optimization domain questions for the AWS Certified SysOps Administrator/CloudOps Engineer (SOA-C03) practice exams.

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Real-World Application

In a professional CloudOps or SysOps engineering role, performance optimization is rarely a one-time task; it is a continuous cycle of monitoring, tuning, and cost-management.

Consider a scenario where an e-commerce platform experiences severe latency during a holiday flash sale. By applying the skills from this curriculum, you will be able to execute the following operational flow:

The Business Impact

1. Cost Reduction: Moving a 1,000 GB gp2 volume to gp3 can reduce storage costs by up to 20% while allowing you to provision IOPS and throughput independently of storage capacity.
2. Reliability & Customer Trust: Implementing RDS Proxy ensures that sudden bursts of traffic do not overwhelm your database connections, preventing downtime and lost revenue.
3. Operational Excellence: Leveraging Systems Manager Automation runbooks transforms manual, error-prone tuning steps into consistent, repeatable, and scalable operations.

[!TIP] Always remember the AWS Well-Architected Framework: Performance efficiency isn't just about making things faster; it's about using computing resources efficiently to meet system requirements, and maintaining that efficiency as demand changes and technologies evolve.