Security, Cost & Well-Architected Frameworks

AWS Well-Architected Framework

4 min read

The Well-Architected Framework is AWS's methodology for building secure, high-performing, resilient, and efficient infrastructure. Understanding it deeply is essential for architect interviews.

The Six Pillars

Overview

Pillar Focus Key Question
Operational Excellence Run and monitor systems How do you evolve operations?
Security Protect information and systems How do you protect data?
Reliability Recover from failures How do you prevent failures?
Performance Efficiency Use resources efficiently How do you select resources?
Cost Optimization Avoid unnecessary costs How do you manage costs?
Sustainability Minimize environmental impact How do you reduce footprint?

Pillar 1: Operational Excellence

Design Principles

  • Perform operations as code
  • Make frequent, small, reversible changes
  • Refine operations procedures frequently
  • Anticipate failure
  • Learn from all operational failures

Key Practices

Practice Implementation
Infrastructure as Code CloudFormation, Terraform, CDK
Observability CloudWatch, X-Ray, OpenTelemetry
Runbooks SSM Automation documents
Change Management CI/CD pipelines, blue-green
Incident Response On-call rotation, blameless postmortems

Interview Question: Operational Excellence

Q: "How would you implement operational excellence for a microservices architecture?"

A: Layered approach:

  1. Automation Layer

    • Infrastructure: CDK/Terraform
    • Deployment: CodePipeline, GitOps
    • Scaling: Application Auto Scaling
  2. Observability Layer

    • Metrics: CloudWatch with custom dashboards
    • Traces: X-Ray for distributed tracing
    • Logs: Centralized logging with insights
  3. Response Layer

    • Alerts: CloudWatch Alarms → SNS → PagerDuty
    • Runbooks: SSM automation for common issues
    • Postmortems: Template-driven, action items tracked

Pillar 2: Security

Design Principles

  • Implement a strong identity foundation
  • Enable traceability
  • Apply security at all layers
  • Automate security best practices
  • Protect data in transit and at rest
  • Keep people away from data
  • Prepare for security events

Security Focus Areas

Area AWS Services Best Practice
Identity IAM, Identity Center Least privilege, MFA
Detection GuardDuty, Security Hub Continuous monitoring
Infrastructure VPC, WAF, Shield Defense in depth
Data Protection KMS, Secrets Manager Encryption everywhere
Incident Response CloudTrail, Config Automated response

Pillar 3: Reliability

Design Principles

  • Automatically recover from failure
  • Test recovery procedures
  • Scale horizontally
  • Stop guessing capacity
  • Manage change through automation

Reliability Patterns

Pattern Purpose AWS Implementation
Multi-AZ Survive AZ failure RDS Multi-AZ, ALB
Multi-Region Survive region failure Route 53 failover
Bulkhead Isolate failures Separate services
Circuit Breaker Prevent cascading Application-level
Retry with Backoff Handle transient errors SDK configuration

Interview Question: Reliability Design

Q: "Design a system with 99.99% availability SLA."

A: Multi-region active-active:

Region A                    Region B
┌─────────────────┐        ┌─────────────────┐
│  ALB (Multi-AZ) │        │  ALB (Multi-AZ) │
│       ↓         │        │       ↓         │
│  ECS (Multi-AZ) │        │  ECS (Multi-AZ) │
│       ↓         │        │       ↓         │
│ Aurora Global   │◄──────►│ Aurora Global   │
│   (Primary)     │        │   (Secondary)   │
└─────────────────┘        └─────────────────┘
         ↑                          ↑
         └──────── Route 53 ────────┘
              (Health-based routing)

Availability Math:

  • Single region (3 AZ): ~99.95%
  • Multi-region active-active: ~99.99%
  • Requires: Global database, stateless compute, health checks

Pillar 4: Performance Efficiency

Design Principles

  • Democratize advanced technologies
  • Go global in minutes
  • Use serverless architectures
  • Experiment more often
  • Consider mechanical sympathy

Performance Optimization

Layer Optimization AWS Service
Compute Right-size, serverless Lambda, Fargate
Storage Tiering, caching S3, ElastiCache
Database Read replicas, caching Aurora, DAX
Network CDN, edge computing CloudFront, Lambda@Edge

Interview Question: Performance

Q: "Your API has P99 latency of 2 seconds. Target is 200ms. How do you approach this?"

A: Systematic analysis:

  1. Measure (X-Ray tracing)

    • Identify slowest segments
    • Find P99 vs P50 difference
  2. Common Culprits

    • Database queries (add caching, indexes)
    • External API calls (async, caching)
    • Cold starts (provisioned concurrency)
    • Network hops (reduce, use PrivateLink)
  3. Quick Wins

    • ElastiCache for repeated queries
    • Connection pooling
    • Response compression
  4. Architecture Changes

    • CQRS for read optimization
    • Async processing for non-critical paths

Pillar 5: Cost Optimization

Design Principles

  • Implement cloud financial management
  • Adopt a consumption model
  • Measure overall efficiency
  • Stop spending on undifferentiated heavy lifting
  • Analyze and attribute expenditure

Cost Optimization Cycle

Measure → Analyze → Optimize → Govern → Repeat
   ↓         ↓          ↓          ↓
Cost      Right-    Savings    Budgets
Explorer   sizing    Plans     Policies

Pillar 6: Sustainability

Design Principles

  • Understand your impact
  • Establish sustainability goals
  • Maximize utilization
  • Anticipate and adopt new, more efficient hardware and software
  • Use managed services
  • Reduce downstream impact

Sustainability Practices

Practice Implementation
Efficient Code Optimize algorithms, reduce compute
Right-sizing Match resources to load
Managed Services Leverage AWS's efficiency
Data Lifecycle Delete unnecessary data
Region Selection Choose regions with renewable energy

Well-Architected Reviews

When to Conduct

  • Before major launches
  • After significant changes
  • Quarterly for production workloads
  • During architecture evolution

Review Process

  1. Prepare: Gather documentation, stakeholders
  2. Assess: Answer pillar questions honestly
  3. Identify: High and medium risk items
  4. Prioritize: Based on business impact
  5. Remediate: Create action plans
  6. Track: Monitor improvement

AWS Well-Architected Tool

Free service that:

  • Guides through review questions
  • Generates reports
  • Tracks improvements
  • Provides AWS best practices

Key Insight: The Well-Architected Framework isn't a checklist—it's a methodology for continuous improvement. In interviews, demonstrate understanding of trade-offs between pillars.

Next, we'll explore compliance and governance considerations. :::

Quiz

Module 5: Security, Cost & Well-Architected Frameworks

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