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Course Outline
AWS Architecture Principles
- Overview of the AWS Well-Architected Framework.
- Designing for security, reliability, performance, cost efficiency, and operational excellence.
- Selecting appropriate AWS services for enterprise workloads.
- Architecture design patterns and best practices.
Designing Complex Cloud Solutions
- Multi-tier and distributed application architectures.
- Hybrid cloud and multi-account strategies.
- Designing for high availability and disaster recovery.
- Navigating architectural trade-offs and decision-making.
Advanced Networking
- Designing complex Amazon VPC environments.
- VPC peering, Transit Gateway, and PrivateLink.
- Hybrid networking using VPN and AWS Direct Connect.
- Route 53, DNS strategies, and traffic management.
- Load balancing and global application delivery.
Advanced Security and Identity Management
- IAM policies, roles, and permission boundaries.
- AWS Organizations and multi-account governance.
- Encryption using AWS KMS and Secrets Manager.
- Network security with Security Groups, NACLs, and AWS WAF.
- Monitoring and compliance via AWS CloudTrail, GuardDuty, and Security Hub.
Compute and Container Architecture
- Advanced Amazon EC2 deployment strategies.
- Auto Scaling and Elastic Load Balancing.
- Designing serverless applications with AWS Lambda.
- Container orchestration using Amazon ECS and Amazon EKS.
- Selecting the appropriate compute service for specific workloads.
Scalability, Resilience, and Performance
- Designing fault-tolerant architectures.
- Performance optimization techniques.
- Caching with Amazon ElastiCache.
- Content delivery using Amazon CloudFront.
- Resilience testing and recovery strategies.
Storage and Database Architecture
- Advanced Amazon S3 design and lifecycle management.
- Designing storage solutions with Amazon EFS and Amazon FSx.
- Selecting appropriate database services.
- Architecture for Amazon RDS, Aurora, DynamoDB, and Redshift.
- Backup, replication, and disaster recovery strategies.
Data Processing and Analytics
- Designing data lakes on AWS.
- Batch and real-time data processing.
- AWS services: Kinesis, Glue, and EMR.
- Data warehousing and analytics with Amazon Redshift.
- Visualizing business data with Amazon QuickSight.
Monitoring, Automation, and Operations
- Infrastructure as Code using AWS CloudFormation.
- Operational monitoring with Amazon CloudWatch.
- Centralized logging and observability.
- Automating deployments and operational tasks.
- Cost management and optimization techniques.
Migration and Modernization
- Assessing workloads for cloud migration.
- Migration planning and execution strategies.
- AWS Migration Hub and AWS Application Migration Service.
- Modernizing legacy applications.
- Validating migrated environments.
Troubleshooting and Architecture Review
- Diagnosing networking, security, and performance issues.
- Troubleshooting application deployments.
- Reviewing architecture against AWS best practices.
- Optimizing existing cloud environments.
Hands-on Architecture Workshop
- Designing and deploying an enterprise AWS solution.
- Implementing scalability, security, and resilience.
- Validating architecture decisions.
- Course review, best practices, and next steps.
Requirements
- Familiarity with AWS services is required.
Target Audience
- Cloud engineers aiming to transition into architecture engineering roles.
28 Hours
Testimonials (2)
I've find out new interesting things about Lambda and Serverless
Oleg Buldumac - PUBLIC COURSE
Course - AWS Lambda for Developers
Sounds knowledgeable, and interacts with his leaners
