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EC2 Best Practices

Summary

  • EC2 best practices focus on security, performance, cost, availability, and operations, ensuring your environment is safe, efficient, and easy to run at scale.
  • Core patterns include: using IAM Roles instead of access keys, designing VPC and Security Groups correctly, right‑sizing instances, leveraging Auto Scaling + Multi‑AZ, and automating backups and patching.
  • Strong tagging, logging and monitoring, plus tested DR procedures, are key for long‑term operational excellence.

EC2 best practices mindmap

mermaid
mindmap
  root((EC2 Best Practices))
    Security
      IAM Roles
      Security Groups & NACLs
      Encryption
      Patch Management
    Performance
      Right-size instances
      Enhanced Networking
      Storage optimization
    Cost
      On-Demand / Reserved / Spot / Savings Plans
      Auto Scaling
      Lifecycle management
    High Availability
      Multi-AZ
      Health checks
      Backup & AMIs
    Operations
      Tagging
      Monitoring & Alerting
      Automation (IaC, SSM)

Best Practices

  • Security

    • Use IAM Roles (not embedded access keys) for EC2 applications that call AWS APIs.
    • Design Security Groups with least privilege, split by function (web/app/db), and review rules regularly; layer Network ACLs where needed.
    • Enable EBS encryption and encrypt sensitive data in transit with TLS; use KMS for key management.
    • Automate patching via Systems Manager Patch Manager with defined maintenance windows.
  • Performance

    • Right‑size instances and use current‑generation types; monitor CPU, memory, I/O, and network in CloudWatch.
    • Turn on enhanced networking for network‑intensive workloads; consider placement groups if you need very low latency between instances.
    • Match EBS volume type to workload (gp3, io1/io2, st1, sc1) and reserve instance store for fast, temporary data.
  • Cost Optimization

    • Combine On‑Demand, Reserved Instances/Savings Plans, and Spot based on workload predictability and fault‑tolerance.
    • Use Auto Scaling to adjust capacity with demand instead of running peak capacity 24/7.
    • Implement lifecycle management: stop or terminate unused instances, delete unattached volumes and stale snapshots, and tag everything for cost allocation.
  • High Availability & DR

    • Deploy across multiple AZs using Auto Scaling Groups and load balancers for the web/app tier; use Multi‑AZ options for critical data stores.
    • Define and monitor health checks (system, instance, application) and automate recovery actions.
    • Use EBS snapshots and golden AMIs, test restores regularly, and replicate to other Regions when required.
  • Operations & Monitoring

    • Configure CloudWatch metrics, dashboards, and alarms for infrastructure and application KPIs.
    • Centralize logs with CloudWatch Logs and apply retention policies; integrate with alerting channels (email, Slack, etc.).
    • Use Infrastructure as Code (CloudFormation/Terraform) and Systems Manager for automation, and maintain up‑to‑date runbooks and documentation.

Exam Notes

  • In exam scenarios, the “AWS‑recommended” answer usually combines: IAM Role + Security Group + Multi‑AZ + Auto Scaling + EBS encryption + monitoring/logging.
  • Understand how Security Groups and NACLs interact, and when AWS suggests one vs the other; SGs are the primary control in most designs.
  • For cost questions, prefer Reserved/Savings Plans for steady workloads, Spot for batch or fault‑tolerant jobs, and always mention right‑sizing and cleaning up unused resources.
  • High‑availability questions often expect Multi‑AZ design with load balancers and Auto Scaling, not single instances in a single AZ.

AWS documentation