From Beginner to Expert
Table of Contents
- Introduction to Cloud Computing and AWS
- AWS Core Services
- Compute Services
- Storage Services
- Database Services
- Networking and Content Delivery
- Security and Identity
- Monitoring and Management
- DevOps and Deployment
- Serverless Architecture
- Big Data and Analytics
- Machine Learning Services
- Cost Optimization
- AWS Well-Architected Framework
- Advanced Architectures
1. Introduction to Cloud Computing and AWS
What is Cloud Computing?
Cloud computing is the delivery of computing services over the internet, including storage, databases, networking, software, analytics, and intelligence.
graph TB
A[Traditional IT] --> B[Physical Servers]
A --> C[On-Premises Data Centers]
A --> D[High Capital Costs]
E[Cloud Computing] --> F[Virtual Servers]
E --> G[Global Data Centers]
E --> H[Pay-as-you-go]
I[Benefits] --> J[Scalability]
I --> K[Flexibility]
I --> L[Cost Efficiency]
I --> M[Global Reach]Cloud Service Models
graph LR
A[Cloud Service Models] --> B[IaaS]
A --> C[PaaS]
A --> D[SaaS]
B --> E[Infrastructure as a Service]
B --> F[Virtual Machines, Storage, Networks]
C --> G[Platform as a Service]
C --> H[Development Platforms, Databases]
D --> I[Software as a Service]
D --> J[Complete Applications]AWS Global Infrastructure
graph TB
A[AWS Global Infrastructure] --> B[Regions]
A --> C[Availability Zones]
A --> D[Edge Locations]
A --> E[Local Zones]
B --> F[Geographic Areas]
B --> G[Multiple AZs]
C --> H[Data Centers]
C --> I[Low Latency]
D --> J[CloudFront CDN]
D --> K[Global Content Delivery]2. AWS Core Services
AWS Service Categories
mindmap
root((AWS Services))
Compute
EC2
Lambda
ECS
EKS
Storage
S3
EBS
EFS
Database
RDS
DynamoDB
DocumentDB
Networking
VPC
CloudFront
Route 53
Security
IAM
KMS
WAF
Analytics
Redshift
EMR
KinesisAWS Management Console Navigation
graph TD
A[AWS Management Console] --> B[Services Menu]
A --> C[Search Bar]
A --> D[Account Menu]
A --> E[Region Selector]
B --> F[Service Categories]
F --> G[Recently Visited]
F --> H[All Services]
C --> I[Quick Service Access]
D --> J[Billing Dashboard]
D --> K[Account Settings]
E --> L[Select AWS Region]3. Compute Services
Amazon EC2 (Elastic Compute Cloud)
EC2 provides scalable virtual servers in the cloud.
graph TB
A[EC2 Instance] --> B[Instance Types]
A --> C[AMI - Amazon Machine Image]
A --> D[Security Groups]
A --> E[Key Pairs]
A --> F[Storage - EBS]
B --> G[General Purpose - t3, m5]
B --> H[Compute Optimized - c5]
B --> I[Memory Optimized - r5]
B --> J[Storage Optimized - i3]
B --> K[Accelerated Computing - p3]EC2 Instance Lifecycle
stateDiagram-v2
[*] --> Pending
Pending --> Running
Running --> Stopping
Stopping --> Stopped
Stopped --> Pending
Running --> Shutting_down
Shutting_down --> Terminated
Terminated --> [*]
Stopped --> Shutting_downAWS Lambda (Serverless Computing)
graph LR
A[Event Source] --> B[Lambda Function]
B --> C[Execution Environment]
C --> D[Response/Output]
E[Supported Runtimes] --> F[Python]
E --> G[Node.js]
E --> H[Java]
E --> I[Go]
E --> J[.NET]
E --> K[Custom Runtime]Container Services Architecture
graph TB
A[Container Services] --> B[Amazon ECS]
A --> C[Amazon EKS]
A --> D[AWS Fargate]
B --> E[EC2 Launch Type]
B --> F[Fargate Launch Type]
C --> G[Managed Kubernetes]
C --> H[Worker Nodes]
D --> I[Serverless Containers]
D --> J[No Server Management]4. Storage Services
Amazon S3 (Simple Storage Service)
graph TB
A[Amazon S3] --> B[Buckets]
A --> C[Objects]
A --> D[Storage Classes]
A --> E[Access Control]
B --> F[Globally Unique Names]
B --> G[Regional Resources]
D --> H[Standard]
D --> I[Standard-IA]
D --> J[One Zone-IA]
D --> K[Glacier]
D --> L[Glacier Deep Archive]
E --> M[Bucket Policies]
E --> N[ACLs]
E --> O[IAM Policies]S3 Storage Classes Comparison
graph LR
A[S3 Storage Classes] --> B[Standard]
A --> C[Standard-IA]
A --> D[One Zone-IA]
A --> E[Intelligent Tiering]
A --> F[Glacier Instant]
A --> G[Glacier Flexible]
A --> H[Glacier Deep Archive]
B --> B1[Frequent AccessHigh Availability]
C --> C1[Infrequent AccessLower Cost]
D --> D1[Single AZLower Cost]
E --> E1[Automatic TieringML-Based]
F --> F1[ArchiveInstant Retrieval]
G --> G1[Archive1-5 min Retrieval]
H --> H1[Long-term Archive12+ hours]EBS (Elastic Block Store) Volume Types
graph TB
A[EBS Volume Types] --> B[gp3 - General Purpose SSD]
A --> C[gp2 - General Purpose SSD]
A --> D[io2 - Provisioned IOPS SSD]
A --> E[io1 - Provisioned IOPS SSD]
A --> F[st1 - Throughput Optimized HDD]
A --> G[sc1 - Cold HDD]
B --> B1[3,000-16,000 IOPS125-1,000 MB/s]
C --> C1[3-10,000 IOPSBaseline Performance]
D --> D1[Up to 64,000 IOPSHigh Performance]EFS (Elastic File System) Architecture
graph TB
A[Amazon EFS] --> B[Multiple AZ Access]
A --> C[POSIX Compliant]
A --> D[Performance Modes]
A --> E[Throughput Modes]
B --> F[Mount Targets]
F --> G[AZ-1 Mount Target]
F --> H[AZ-2 Mount Target]
F --> I[AZ-3 Mount Target]
D --> J[General Purpose]
D --> K[Max I/O]
E --> L[Provisioned]
E --> M[Bursting]5. Database Services
AWS Database Options
graph TB
A[AWS Database Services] --> B[Relational Databases]
A --> C[NoSQL Databases]
A --> D[Data Warehousing]
A --> E[Graph Databases]
A --> F[Time Series]
B --> G[Amazon RDS]
B --> H[Amazon Aurora]
C --> I[DynamoDB]
C --> J[DocumentDB]
C --> K[Keyspaces]
D --> L[Redshift]
E --> M[Neptune]
F --> N[Timestream]Amazon RDS (Relational Database Service)
graph TB
A[Amazon RDS] --> B[Supported Engines]
A --> C[Deployment Options]
A --> D[Features]
B --> E[MySQL]
B --> F[PostgreSQL]
B --> G[MariaDB]
B --> H[Oracle]
B --> I[SQL Server]
B --> J[Aurora]
C --> K[Single-AZ]
C --> L[Multi-AZ]
C --> M[Read Replicas]
D --> N[Automated Backups]
D --> O[Point-in-time Recovery]
D --> P[Monitoring]
D --> Q[Security]DynamoDB Architecture
graph LR
A[Application] --> B[DynamoDB Table]
B --> C[Primary Key]
B --> D[Attributes]
C --> E[Partition Key]
C --> F[Sort Key - Optional]
G[DynamoDB Features] --> H[Auto Scaling]
G --> I[Global Tables]
G --> J[DynamoDB Streams]
G --> K[Point-in-time Recovery]
G --> L[Encryption at Rest]Database Migration Strategies
graph TB
A[Database Migration] --> B[AWS DMS]
A --> C[Migration Types]
A --> D[Source Databases]
B --> E[Database Migration Service]
B --> F[Schema Conversion Tool]
C --> G[Homogeneous]
C --> H[Heterogeneous]
G --> I[Oracle to Aurora]
H --> J[Oracle to PostgreSQL]
D --> K[On-Premises]
D --> L[Cloud]
D --> M[Other AWS Services]6. Networking and Content Delivery
Amazon VPC (Virtual Private Cloud)
graph TB
A[Amazon VPC] --> B[Subnets]
A --> C[Route Tables]
A --> D[Internet Gateway]
A --> E[NAT Gateway]
A --> F[Security Groups]
A --> G[NACLs]
B --> H[Public Subnet]
B --> I[Private Subnet]
H --> J[Internet Access]
I --> K[No Direct Internet]
F --> L[Instance Level]
F --> M[Stateful]
G --> N[Subnet Level]
G --> O[Stateless]VPC Networking Components
graph LR
A[VPC - 10.0.0.0/16] --> B[Public Subnet10.0.1.0/24]
A --> C[Private Subnet10.0.2.0/24]
B --> D[Internet Gateway]
C --> E[NAT Gateway]
D --> F[Internet]
E --> F
B --> G[Web Servers]
C --> H[Database Servers]
I[Route Table] --> J[0.0.0.0/0 → IGW]
K[Route Table] --> L[0.0.0.0/0 → NAT]CloudFront CDN Architecture
graph TB
A[User Request] --> B[CloudFront Edge Location]
B --> C[Regional Edge Cache]
C --> D[Origin Server]
D --> E[S3 Bucket]
D --> F[EC2 Instance]
D --> G[Load Balancer]
D --> H[Custom Origin]
I[CloudFront Features] --> J[Global Distribution]
I --> K[Caching]
I --> L[SSL/TLS Termination]
I --> M[Geographic Restrictions]
I --> N[Real-time Logs]Route 53 DNS Service
graph TB
A[Route 53] --> B[Hosted Zones]
A --> C[Routing Policies]
A --> D[Health Checks]
A --> E[Domain Registration]
C --> F[Simple]
C --> G[Weighted]
C --> H[Latency-based]
C --> I[Failover]
C --> J[Geolocation]
C --> K[Geoproximity]
C --> L[Multivalue Answer]7. Security and Identity
AWS IAM (Identity and Access Management)
graph TB
A[AWS IAM] --> B[Users]
A --> C[Groups]
A --> D[Roles]
A --> E[Policies]
B --> F[Individual Identities]
C --> G[Collection of Users]
D --> H[Assumable Identities]
E --> I[Permissions Documents]
I --> J[AWS Managed]
I --> K[Customer Managed]
I --> L[Inline Policies]IAM Policy Structure
graph LR
A[IAM Policy] --> B[Version]
A --> C[Statement]
C --> D[Effect - Allow/Deny]
C --> E[Action - API Calls]
C --> F[Resource - ARN]
C --> G[Principal - Who]
C --> H[Condition - When]
I[Policy Example] --> J[S3 Read Access]
J --> K[Effect: Allow]
J --> L[Action: s3:GetObject]
J --> M[Resource: arn:aws:s3:::bucket/*]AWS Security Services
mindmap
root((Security Services))
Identity & Access
IAM
Cognito
Directory Service
SSO
Detection
GuardDuty
Inspector
Macie
Security Hub
Protection
WAF
Shield
KMS
CloudHSM
Compliance
Config
CloudTrail
ArtifactSecurity Best Practices
graph TB
A[Security Best Practices] --> B[Principle of Least Privilege]
A --> C[Multi-Factor Authentication]
A --> D[Encryption at Rest]
A --> E[Encryption in Transit]
A --> F[Network Segmentation]
A --> G[Logging and Monitoring]
A --> H[Regular Security Audits]
B --> I[Minimal Required Permissions]
C --> J[Additional Security Layer]
D --> K[Data Protection]
E --> L[Secure Communication]
F --> M[VPC, Subnets, Security Groups]
G --> N[CloudTrail, CloudWatch]8. Monitoring and Management
Amazon CloudWatch
graph TB
A[Amazon CloudWatch] --> B[Metrics]
A --> C[Logs]
A --> D[Alarms]
A --> E[Events]
A --> F[Dashboards]
B --> G[Standard Metrics]
B --> H[Custom Metrics]
C --> I[CloudWatch Logs]
C --> J[Log Groups]
C --> K[Log Streams]
D --> L[Metric Alarms]
D --> M[Composite Alarms]
E --> N[EventBridge]
E --> O[Scheduled Events]AWS CloudTrail
graph LR
A[AWS CloudTrail] --> B[API Logging]
A --> C[Event History]
A --> D[Insights]
B --> E[Management Events]
B --> F[Data Events]
C --> G[90-day History]
C --> H[Search and Filter]
D --> I[Unusual Activity]
D --> J[ML-powered Analysis]
K[CloudTrail Logs] --> L[S3 Bucket]
L --> M[CloudWatch Logs]
M --> N[Analysis Tools]AWS Config
graph TB
A[AWS Config] --> B[Configuration Items]
A --> C[Configuration History]
A --> D[Config Rules]
A --> E[Remediation]
B --> F[Resource Configurations]
B --> G[Relationships]
B --> H[Metadata]
C --> I[Point-in-time Snapshots]
C --> J[Change Tracking]
D --> K[Compliance Monitoring]
D --> L[AWS Managed Rules]
D --> M[Custom Rules]
E --> N[Automatic Remediation]
E --> O[Manual Remediation]9. DevOps and Deployment
AWS DevOps Services
graph TB
A[AWS DevOps Pipeline] --> B[CodeCommit]
A --> C[CodeBuild]
A --> D[CodeDeploy]
A --> E[CodePipeline]
A --> F[CodeStar]
B --> G[Git Repository]
C --> H[Build Service]
D --> I[Deployment Service]
E --> J[CI/CD Pipeline]
F --> K[Project Management]
L[Infrastructure as Code] --> M[CloudFormation]
L --> N[CDK]
L --> O[Terraform]CI/CD Pipeline Architecture
graph LR
A[Developer] --> B[Git Push]
B --> C[CodeCommit]
C --> D[CodePipeline Trigger]
D --> E[CodeBuild]
E --> F[Build Artifacts]
F --> G[CodeDeploy]
G --> H[Production Environment]
I[Pipeline Stages] --> J[Source]
I --> K[Build]
I --> L[Test]
I --> M[Deploy]
I --> N[Production]AWS CloudFormation
graph TB
A[CloudFormation Template] --> B[JSON/YAML]
B --> C[Resources]
B --> D[Parameters]
B --> E[Outputs]
B --> F[Mappings]
C --> G[AWS Resources]
G --> H[EC2 Instances]
G --> I[VPC Components]
G --> J[IAM Roles]
K[CloudFormation Stack] --> L[Create]
K --> M[Update]
K --> N[Delete]
K --> O[Rollback]Container Orchestration
graph TB
A[Container Deployment] --> B[Amazon ECS]
A --> C[Amazon EKS]
A --> D[AWS Fargate]
B --> E[Task Definitions]
B --> F[Services]
B --> G[Clusters]
C --> H[Kubernetes Pods]
C --> I[Deployments]
C --> J[Services]
D --> K[Serverless Containers]
D --> L[No EC2 Management]10. Serverless Architecture
Serverless Computing Model
graph TB
A[Serverless Architecture] --> B[AWS Lambda]
A --> C[API Gateway]
A --> D[DynamoDB]
A --> E[S3]
A --> F[EventBridge]
A --> G[Step Functions]
B --> H[Function as a Service]
B --> I[Event-driven]
B --> J[Auto-scaling]
C --> K[HTTP API]
C --> L[REST API]
C --> M[WebSocket API]Serverless Application Architecture
sequenceDiagram
participant User
participant API Gateway
participant Lambda
participant DynamoDB
participant S3
User->>API Gateway: HTTP Request
API Gateway->>Lambda: Invoke Function
Lambda->>DynamoDB: Query Data
DynamoDB-->>Lambda: Return Data
Lambda->>S3: Store/Retrieve Files
S3-->>Lambda: File Data
Lambda-->>API Gateway: Response
API Gateway-->>User: HTTP ResponseAWS Step Functions
stateDiagram-v2
[*] --> StartProcessing
StartProcessing --> ValidateInput
ValidateInput --> ProcessData : Valid
ValidateInput --> HandleError : Invalid
ProcessData --> SaveResults
SaveResults --> SendNotification
SendNotification --> [*]
HandleError --> LogError
LogError --> [*]Lambda Event Sources
graph TB
A[Lambda Event Sources] --> B[Synchronous]
A --> C[Asynchronous]
A --> D[Poll-based]
B --> E[API Gateway]
B --> F[Application Load Balancer]
B --> G[Lambda Function URLs]
C --> H[S3]
C --> I[SNS]
C --> J[EventBridge]
D --> K[DynamoDB Streams]
D --> L[Kinesis]
D --> M[SQS]11. Big Data and Analytics
AWS Analytics Services
mindmap
root((Analytics Services))
Data Collection
Kinesis Data Streams
Kinesis Data Firehose
AWS IoT Core
Data Storage
S3 Data Lake
Redshift
EMR
Data Processing
EMR
Glue
Lambda
Batch
Data Analysis
Athena
QuickSight
Redshift
Machine Learning
SageMaker
Comprehend
RekognitionData Lake Architecture
graph TB
A[Data Sources] --> B[Ingestion Layer]
B --> C[Storage Layer]
C --> D[Processing Layer]
D --> E[Analytics Layer]
A --> F[Databases]
A --> G[Applications]
A --> H[IoT Devices]
A --> I[Social Media]
B --> J[Kinesis Data Streams]
B --> K[Kinesis Data Firehose]
B --> L[AWS DMS]
C --> M[Amazon S3]
C --> N[Raw Data]
C --> O[Processed Data]
C --> P[Curated Data]
D --> Q[AWS Glue]
D --> R[EMR]
D --> S[Lambda]
E --> T[Athena]
E --> U[QuickSight]
E --> V[Redshift]Amazon Kinesis
graph LR
A[Kinesis Data Streams] --> B[Real-time Streaming]
A --> C[Producers]
A --> D[Consumers]
C --> E[Web Applications]
C --> F[Mobile Apps]
C --> G[IoT Devices]
D --> H[Lambda Functions]
D --> I[Kinesis Analytics]
D --> J[EC2 Applications]
K[Kinesis Data Firehose] --> L[S3]
K --> M[Redshift]
K --> N[Elasticsearch]
K --> O[Splunk]AWS Glue ETL
graph TB
A[AWS Glue] --> B[Data Catalog]
A --> C[ETL Jobs]
A --> D[Crawlers]
A --> E[Development Endpoints]
B --> F[Metadata Repository]
B --> G[Schema Discovery]
C --> H[Python/Scala Scripts]
C --> I[Visual ETL]
D --> J[Schema Inference]
D --> K[Partition Discovery]
L[Glue Workflow] --> M[Extract]
L --> N[Transform]
L --> O[Load]12. Machine Learning Services
AWS AI/ML Services Stack
graph TB
A[AI/ML Services] --> B[AI Services]
A --> C[ML Services]
A --> D[ML Frameworks & Infrastructure]
B --> E[Rekognition - Vision]
B --> F[Comprehend - NLP]
B --> G[Polly - Text-to-Speech]
B --> H[Transcribe - Speech-to-Text]
B --> I[Translate - Language]
B --> J[Lex - Chatbots]
C --> K[SageMaker]
C --> L[Personalize]
C --> M[Forecast]
C --> N[Fraud Detector]
D --> O[EC2 with ML AMIs]
D --> P[Deep Learning Containers]
D --> Q[Inferentia Chips]Amazon SageMaker Workflow
graph LR
A[Data Preparation] --> B[Model Training]
B --> C[Model Tuning]
C --> D[Model Deployment]
D --> E[Model Monitoring]
A --> F[SageMaker Data Wrangler]
A --> G[SageMaker Processing]
B --> H[SageMaker Training]
B --> I[Built-in Algorithms]
B --> J[Custom Algorithms]
C --> K[Hyperparameter Tuning]
D --> L[Real-time Endpoints]
D --> M[Batch Transform]
D --> N[Multi-Model Endpoints]
E --> O[Model Monitor]
E --> P[Data Drift Detection]ML Model Development Lifecycle
sequenceDiagram
participant DS as Data Scientist
participant SM as SageMaker
participant S3 as S3 Storage
participant ECR as Container Registry
DS->>S3: Upload Training Data
DS->>SM: Create Training Job
SM->>S3: Access Training Data
SM->>ECR: Pull Algorithm Container
SM->>SM: Train Model
SM->>S3: Save Model Artifacts
DS->>SM: Create Model Endpoint
SM->>S3: Load Model Artifacts
SM->>SM: Deploy Model
DS->>SM: Make Predictions13. Cost Optimization
AWS Cost Management Tools
graph TB
A[Cost Management] --> B[Cost Explorer]
A --> C[Budgets]
A --> D[Cost and Usage Reports]
A --> E[Trusted Advisor]
A --> F[Compute Optimizer]
B --> G[Cost Analysis]
B --> H[Usage Analysis]
B --> I[Forecasting]
C --> J[Cost Budgets]
C --> K[Usage Budgets]
C --> L[Alerts]
D --> M[Detailed Billing Data]
D --> N[S3 Integration]
E --> O[Cost Optimization]
E --> P[Performance]
E --> Q[Security]
E --> R[Fault Tolerance]Cost Optimization Strategies
mindmap
root((Cost Optimization))
Right Sizing
Monitor Usage
Adjust Instance Types
Use Metrics
Reserved Instances
1-3 Year Terms
Significant Savings
Planning Required
Spot Instances
Up to 90% Savings
Fault Tolerant Workloads
Interruption Handling
Storage Optimization
S3 Intelligent Tiering
Lifecycle Policies
Delete Unused Data
Auto Scaling
Scale with Demand
Reduce Idle Resources
Predictive ScalingAWS Pricing Models
graph TB
A[AWS Pricing Models] --> B[On-Demand]
A --> C[Reserved Instances]
A --> D[Spot Instances]
A --> E[Dedicated Hosts]
A --> F[Savings Plans]
B --> G[Pay as you go]
B --> H[No upfront costs]
B --> I[Highest per-hour cost]
C --> J[1 or 3 year terms]
C --> K[Up to 75% savings]
C --> L[Standard/Convertible]
D --> M[Unused EC2 capacity]
D --> N[Up to 90% savings]
D --> O[Can be interrupted]
F --> P[Compute Savings Plans]
F --> Q[EC2 Instance Savings Plans]14. AWS Well-Architected Framework
Five Pillars of Well-Architected Framework
graph TB
A[Well-Architected Framework] --> B[Operational Excellence]
A --> C[Security]
A --> D[Reliability]
A --> E[Performance Efficiency]
A --> F[Cost Optimization]
B --> G[Automate Operations]
B --> H[Monitor Systems]
B --> I[Continuous Improvement]
C --> J[Identity & Access Management]
C --> K[Data Protection]
C --> L[Infrastructure Protection]
D --> M[Fault Tolerance]
D --> N[Recovery Planning]
D --> O[Change Management]
E --> P[Resource Selection]
E --> Q[Monitoring]
E --> R[Trade-offs]
F --> S[Cost-Effective Resources]
F --> T[Usage Optimization]
F --> U[Expenditure Awareness]Well-Architected Review Process
sequenceDiagram
participant Architect
participant Review Tool
participant Questions
participant Report
Architect->>Review Tool: Start Review
Review Tool->>Questions: Present Pillar Questions
Questions->>Architect: Answer Questions
Architect->>Questions: Provide Responses
Questions->>Review Tool: Submit Answers
Review Tool->>Report: Generate Report
Report->>Architect: Recommendations & Action Items
Architect->>Review Tool: Track ImprovementsDesign Principles
mindmap
root((Design Principles))
Operational Excellence
Perform operations as code
Make frequent small reversible changes
Refine operations procedures frequently
Anticipate failure
Learn from operational failures
Security
Implement strong identity foundation
Apply security at all layers
Enable traceability
Automate security best practices
Protect data in transit and at rest
Reliability
Automatically recover from failure
Test recovery procedures
Scale horizontally
Stop guessing capacity
Manage change through automation
Performance
Democratize advanced technologies
Go global in minutes
Use serverless architectures
Experiment more often
Consider mechanical sympathy
Cost Optimization
Implement cloud financial management
Adopt consumption model
Measure overall efficiency
Stop spending on data centers
Analyze and attribute expenditure15. Advanced Architectures
Microservices Architecture on AWS
graph TB
A[Client Applications] --> B[API Gateway]
B --> C[Application Load Balancer]
C --> D[User Service]
C --> E[Product Service]
C --> F[Order Service]
C --> G[Payment Service]
D --> H[RDS - User DB]
E --> I[DynamoDB - Product DB]
F --> J[RDS - Order DB]
G --> K[RDS - Payment DB]
L[Message Queue] --> M[SQS]
L --> N[SNS]
L --> O[EventBridge]
P[Monitoring] --> Q[CloudWatch]
P --> R[X-Ray]
P --> S[CloudTrail]Event-Driven Architecture
graph LR
A[Event Producers] --> B[Event Router]
B --> C[Event Consumers]
A --> D[API Gateway]
A --> E[S3]
A --> F[DynamoDB Streams]
A --> G[Kinesis]
B --> H[EventBridge]
B --> I[SNS]
B --> J[SQS]
C --> K[Lambda Functions]
C --> L[ECS/EKS Services]
C --> M[Step Functions]
C --> N[External Systems]Multi-Tier Web Application
graph TB
subgraph "Public Subnet"
A[Internet Gateway]
B[Application Load Balancer]
C[NAT Gateway]
end
subgraph "Private Subnet - Web Tier"
D[Auto Scaling Group]
E[EC2 Web Servers]
end
subgraph "Private Subnet - App Tier"
F[Auto Scaling Group]
G[EC2 App Servers]
end
subgraph "Private Subnet - DB Tier"
H[RDS Multi-AZ]
I[ElastiCache]
end
A --> B
B --> E
E --> G
G --> H
G --> I
J[Users] --> A
E --> C
G --> CDisaster Recovery Architecture
graph TB
subgraph "Primary Region - us-east-1"
A[Production Environment]
B[RDS Primary]
C[S3 Primary]
end
subgraph "DR Region - us-west-2"
D[Standby Environment]
E[RDS Read Replica]
F[S3 Cross-Region Replication]
end
A --> D
B --> E
C --> F
G[Route 53] --> A
G -.-> D
H[CloudFormation] --> I[Infrastructure as Code]
I --> A
I --> DHybrid Cloud Architecture
graph TB
subgraph "On-Premises"
A[Corporate Data Center]
B[Existing Applications]
C[Local Databases]
end
subgraph "AWS Cloud"
D[VPC]
E[EC2 Instances]
F[RDS]
G[S3]
end
A --> H[AWS Direct Connect]
H --> D
A --> I[VPN Connection]
I --> D
J[AWS Storage Gateway] --> A
J --> G
K[AWS Database Migration Service] --> C
K --> FConclusion
This comprehensive guide covers AWS services from beginner to expert level. The journey includes:
- Foundation: Understanding cloud computing and AWS basics
- Core Services: Mastering compute, storage, database, and networking
- Security: Implementing robust security practices
- Operations: Monitoring, management, and DevOps practices
- Advanced Topics: Serverless, ML, analytics, and enterprise architectures
- Best Practices: Cost optimization and well-architected principles
Next Steps for Continued Learning
graph LR
A[Current Knowledge] --> B[Hands-on Practice]
B --> C[AWS Certifications]
C --> D[Real-world Projects]
D --> E[Community Involvement]
C --> F[Cloud Practitioner]
C --> G[Solutions Architect]
C --> H[Developer]
C --> I[SysOps Administrator]
C --> J[DevOps Engineer]
C --> K[Security Specialty]
C --> L[Machine Learning Specialty]Key Takeaways
- Start with core services and gradually expand knowledge
- Practice with hands-on labs and real projects
- Focus on architectural patterns and best practices
- Stay updated with new AWS services and features
- Consider AWS certifications to validate your skills
- Join AWS communities and attend events for networking
Remember: Cloud mastery comes through continuous learning and practical application. Start building, experimenting, and solving real-world problems with AWS services.
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