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AWS CLI Services - Quick Reference Card

At a Glance

Total Services: 50+ Total Commands: 300+ Current Implementation: 5 services, ~40 commands (15%) MVP Target: 5 services, ~100 commands (25%) Effort to MVP: 100-150 hours (4-5 weeks)

Tier 1: Critical Services (Must Implement Now)

Service Status Core Commands Priority Effort
S3 40% ls, cp, rm, mb, rb, sync, mv, presign CRITICAL 20-30h
EC2 30% describe-*, start, stop, reboot, run, terminate, security groups CRITICAL 30-40h
IAM 25% list-*, create/delete user/role, attach/detach policy, create/delete access key CRITICAL 25-35h
RDS 0% describe-*, create/delete, start/stop, modify, snapshots CRITICAL 20-30h
STS 20% get-caller-identity, assume-role, get-session-token CRITICAL 5-10h

Phase 1 Total Effort: 100-145 hours (4-5 weeks)

Most Frequently Used Commands (Top 20)

1.  aws sts get-caller-identity           (Verify credentials)
2.  aws s3 ls                             (List buckets/objects)
3.  aws s3 cp                             (Copy files)
4.  aws s3 sync                           (Sync directories)
5.  aws ec2 describe-instances            (List instances)
6.  aws ec2 start-instances               (Start instance)
7.  aws ec2 stop-instances                (Stop instance)
8.  aws iam list-users                    (List users)
9.  aws iam list-roles                    (List roles)
10. aws iam attach-user-policy            (Add user permissions)
11. aws rds describe-db-instances         (List databases)
12. aws lambda list-functions             (List functions)
13. aws lambda invoke                     (Run function)
14. aws cloudformation describe-stacks    (List stacks)
15. aws dynamodb list-tables              (List tables)
16. aws cloudwatch describe-alarms        (List alarms)
17. aws sns publish                       (Send notification)
18. aws sqs send-message                  (Send message)
19. aws secretsmanager get-secret-value   (Get secret)
20. aws ssm get-parameter                 (Get parameter)

Service Categories & Adoption

Highest Adoption (80%+)

  • S3 (80%)
  • IAM (90%)

Very High Adoption (70-79%)

  • EC2 (75%)
  • Lambda (70%)
  • VPC (70%)

High Adoption (60-69%)

  • RDS (60%)
  • CloudWatch (65%)

Moderate Adoption (50-59%)

  • DynamoDB (50%)
  • CloudFormation (55%)

Lower Adoption (<50%)

  • ECS, ElastiCache, Route53, ELB, and others

Implementation Roadmap

Phase 1: MVP (Weeks 1-4) - START NOW

  • S3: Complete (add sync, mv, presign)
  • EC2: Expand (add run-instances, terminate, security groups)
  • IAM: Expand (add user/role/policy CRUD)
  • RDS: Full basic support
  • STS: Complete (add assume-role, get-session-token)
  • Covers: 50% of use cases
  • Effort: 100-150 hours

Phase 2: Serverless (Weeks 5-8)

  • Lambda: Full basic support
  • DynamoDB: Full basic support
  • CloudFormation: Stack management
  • Covers: 70% of use cases
  • Effort: 80-100 hours

Phase 3: Monitoring (Weeks 9-12)

  • CloudWatch: Metrics and alarms
  • SNS: Topics and publishing
  • SQS: Queues and messages
  • Covers: 80% of use cases
  • Effort: 60-80 hours

Phase 4: Networking (Weeks 13-16)

  • VPC: Network management
  • ELB: Load balancing
  • Route53: DNS
  • ElastiCache: Caching
  • Covers: 85% of use cases
  • Effort: 60-80 hours

Phase 5: Complete (Weeks 17+)

  • All remaining services
  • Covers: 100% of use cases
  • Effort: 100+ hours

Command Pattern Summary

Pattern Example Complexity
List aws s3 ls Low
Describe aws ec2 describe-instances Low-Medium
Create aws iam create-user --user-name john Medium
Delete aws s3 rb s3://bucket Low
Update aws rds modify-db-instance Medium
Start/Stop aws ec2 start-instances Low
Attach/Detach aws iam attach-user-policy Medium
Batch aws sqs send-message-batch Medium-High
Query aws dynamodb query --table-name X Medium-High
Invoke aws lambda invoke function Low-Medium

Current Implementation Status

DONE (5 services)

✓ S3:         ls, cp, rm, mb, rb
✓ EC2:        describe-instances, describe-regions, start, stop, reboot, describe-instance-types
✓ IAM:        list-users, list-roles, list-policies, list-groups, list-account-aliases
✓ STS:        get-caller-identity
✓ Configure:  get, list, interactive configure

PHASE 1 - IN PROGRESS (Add to Tier 1)

☐ S3:         sync, mv, presign
☐ EC2:        run-instances, terminate-instances, security groups (6 commands)
☐ IAM:        Create/delete users/roles/policies, attach/detach (15+ commands)
☐ RDS:        All basic operations (10+ commands)
☐ STS:        assume-role, get-session-token (2 commands)

PHASE 2 - HIGH PRIORITY

☐ Lambda:     list-functions, get-function, create-function, invoke, etc.
☐ DynamoDB:   list-tables, describe-table, create-table, query, scan, etc.
☐ CloudFormation: list-stacks, describe-stacks, create-stack, etc.

PHASE 3 - MEDIUM PRIORITY

☐ CloudWatch: describe-alarms, get-metric-statistics, etc.
☐ SNS:        list-topics, publish, subscribe, etc.
☐ SQS:        list-queues, send-message, receive-message, etc.

PHASE 4 & 5 - LOWER PRIORITY

☐ VPC, ELB, Route53, ElastiCache, etc.
☐ CloudFront, Auto Scaling, ECS, etc.
☐ Secrets Manager, Systems Manager, etc.

Effort Estimates by Complexity

Complexity Time Example Commands
Simple 30min-1h ls, describe-, delete, get-
Moderate 1-2h create-, attach-, list with filters
Complex 4-8h run-instances, s3 sync, cloudformation
Very Complex 8+h DynamoDB query, complex state management

Success Criteria

Phase 1 Success (Go/No-Go)

  • All 5 Tier 1 services at 80%+ coverage
  • Top 20 commands working
  • 50% of typical use cases covered
  • Performance parity with Python CLI
  • 90%+ test coverage for Phase 1

MVP Success

  • Replacement for 50%+ of AWS CLI workflows
  • Fast startup time (< 1 second)
  • Consistent with Python CLI
  • Good error messages
  • Ready for production use

Performance Targets

Operation Target Notes
CLI startup < 1 second Rust advantage over Python
S3 list (1000 objects) < 5 seconds Network limited
S3 copy (100MB file) 80%+ network efficiency Limited by network
EC2 describe < 5 seconds For <10k instances
IAM list < 2 seconds For <1k users/roles
Lambda invoke < 2 seconds Cold starts excluded

Key Risks & Mitigations

High Risk

  • S3 Sync Algorithm → Use tested approach from Python CLI
  • Parameter Complexity → Use Clap for validation
  • Output Format Match → Thorough testing against Python CLI
  • Performance → Async operations, connection pooling

Medium Risk

  • Credential Chain → Leverage AWS SDK
  • Service Coverage → Phase-based approach
  • API Changes → Regular SDK updates

Low Risk

  • Basic Operations → Well-defined
  • Error Handling → AWS SDK provides good types
  • Documentation → Extensive examples exist

Weekly Progress Targets (Phase 1)

Week 1 (Kickoff)

  • Research complete (THIS DOCUMENT)
  • Team onboarding
  • Setup development environment
  • Begin S3 sync implementation
  • Target: S3 sync 50% complete

Week 2

  • Complete S3 sync and presign
  • Start EC2 run-instances
  • Begin IAM user/role CRUD
  • Target: S3 & STS at 100%, EC2 at 60%, IAM at 40%

Week 3

  • Complete EC2 security groups
  • Complete IAM user/role/policy operations
  • Start RDS basic support
  • Target: All at 70%+ coverage

Week 4

  • Complete RDS basic support
  • Polish all Phase 1 services
  • Comprehensive testing
  • MVP Release
  • Target: All Phase 1 at 80%+ coverage

Quick Start Checklist

  • Read RESEARCH_EXECUTIVE_SUMMARY.md (30 min)
  • Review AWS_CLI_SERVICES_RESEARCH.md Phase 1 (1 hour)
  • Study IMPLEMENTATION_CHECKLIST.md (45 min)
  • Setup development environment
  • Create GitHub issues for Phase 1 items
  • Schedule team kickoff meeting
  • Begin implementation

Reference Materials

Document Purpose Read Time
RESEARCH_EXECUTIVE_SUMMARY.md Strategic overview 30 min
AWS_CLI_SERVICES_RESEARCH.md Detailed service reference 1-2 hours
IMPLEMENTATION_CHECKLIST.md Execution checklist 45 min
COMMAND_PATTERNS_GUIDE.md Usage examples Reference
RESEARCH_DOCUMENTATION_INDEX.md Navigation guide 15 min

Key Metrics

Scope

  • Services analyzed: 50+
  • Commands analyzed: 300+
  • MVP commands: ~100

Timeline

  • Phase 1 (MVP): 4-5 weeks
  • Phase 1-2 (Beta): 8-10 weeks
  • Phase 1-3 (Stable): 16-20 weeks
  • All phases (Complete): 20+ weeks

Effort

  • MVP: 100-150 hours
  • Phase 1-2: 200-250 hours
  • Phase 1-3: 350-400 hours
  • All: 500+ hours

Team

  • MVP: 2-3 developers
  • Full: 3-5 developers long-term

Start With Phase 1 Services

  1. S3 - Add 3 commands (sync, mv, presign)
  2. EC2 - Add 10 commands (run-instances, terminate, security groups, key pairs)
  3. IAM - Add 15+ commands (user/role/policy CRUD, attach/detach)
  4. RDS - Add 10+ commands (full basic support)
  5. STS - Add 2 commands (assume-role, get-session-token)

Total: ~40 new commands, 100-150 hours

Success Looks Like

✓ Users can deploy Lambda functions ✓ Users can manage EC2 instances ✓ Users can transfer files with S3 ✓ Users can manage IAM permissions ✓ Users can backup RDS databases ✓ Startup time < 1 second ✓ Performance matches Python CLI ✓ Help text is complete ✓ Errors are helpful ✓ All features work correctly

Questions? Consult:

"What commands do I need to implement?" → AWS_CLI_SERVICES_RESEARCH.md

"How long will it take?" → IMPLEMENTATION_CHECKLIST.md (Effort column)

"What are common patterns?" → COMMAND_PATTERNS_GUIDE.md

"What's the overall strategy?" → RESEARCH_EXECUTIVE_SUMMARY.md

"Where do I find examples?" → COMMAND_PATTERNS_GUIDE.md

"What's our progress?" → IMPLEMENTATION_CHECKLIST.md (Checkboxes)

Research Completed: March 30, 2024 Status: Ready for Implementation Next Step: Begin Phase 1 Development