65 min

Building a Centralized Monitoring System with AWS CloudWatch and Grafana using CDK

🎯 Introduction In distributed systems running on AWS, observability is critical for maintaining reliability, debugging issues, and ensuring optimal performance. A centralized monitoring system provides: Unified Visibility: Single pane of glass for all services, applications, and infrastructure Proactive Alerting: Detect and respond to issues before they impact users Performance Optimization: Identify bottlenecks and optimization opportunities Cost Management: Track resource utilization and spending patterns Compliance: Meet audit and regulatory requirements for logging Troubleshooting: Quickly diagnose and resolve production issues This comprehensive guide demonstrates how to build a production-ready centralized monitoring system using AWS CloudWatch and Grafana, deployed with CDK (TypeScript).

AWS CloudWatch Grafana CDK
60 min

Building a Centralized User Access Control System with AWS Cognito and CDK

🎯 Introduction Building a centralized user access control system is one of the most critical architectural decisions for modern applications. Whether you’re managing a single application or a microservices ecosystem, having a robust, scalable authentication and authorization system is essential for: Single Source of Truth: One system managing all user identities and permissions Consistency: Uniform authentication experience across all services Security: Centralized security policies and compliance controls Scalability: Support for millions of users across multiple applications Developer Experience: Simple integration for new services Cost Efficiency: Managed service without operational overhead This comprehensive guide demonstrates how to design and implement a production-ready centralized access control system using AWS Cognito and CDK (TypeScript), with strategies for multi-tenancy, role-based access control (RBAC), and integration patterns for various services.

AWS Cognito CDK TypeScript
55 min

Deploying Hugging Face Models to AWS: A Complete Guide with CDK, SageMaker, and Lambda

🎯 Introduction Deploying machine learning models to production is a complex challenge that goes far beyond training a model. When working with large models from Hugging Face—whether it’s image generation, text-to-image synthesis, or other AI tasks—you need robust infrastructure that handles: Scalability: Auto-scaling to handle variable loads from 0 to thousands of concurrent requests Cost Efficiency: Paying only for what you use while maintaining performance Reliability: 99.9%+ uptime with proper error handling and monitoring Security: Protecting models, data, and API endpoints Observability: Comprehensive logging, metrics, and tracing This comprehensive guide demonstrates how to deploy a Hugging Face model to AWS using infrastructure as code (CDK with TypeScript), combining SageMaker for model hosting and Lambda for API orchestration.

AWS CDK SageMaker Lambda

AWS DynamoDB Complete Guide: Architecture, Indexing & Performance Optimization

Introduction Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. This comprehensive guide explores DynamoDB’s architecture, data structures, indexing strategies, and advanced optimization techniques to achieve maximum performance for your applications. DynamoDB Architecture Overview Core Architecture Components graph TB subgraph "DynamoDB Service Architecture" APP[Application Layer] SDK[AWS SDK] API[DynamoDB API] subgraph "DynamoDB Core" AUTH[Authentication & Authorization] ROUTER[Request Router] METADATA[Metadata Service] subgraph "Storage Layer" PARTITION1[Partition 1] PARTITION2[Partition 2] PARTITION3[Partition 3] PARTITIONN[Partition N] end subgraph "Index Layer" GSI[Global Secondary Indexes] LSI[Local Secondary Indexes] end end subgraph "Infrastructure" SSD[SSD Storage] REPLICATION[Multi-AZ Replication] BACKUP[Automated Backups] end end APP --> SDK SDK --> API API --> AUTH AUTH --> ROUTER ROUTER --> METADATA ROUTER --> PARTITION1 ROUTER --> PARTITION2 ROUTER --> PARTITION3 ROUTER --> PARTITIONN PARTITION1 --> SSD PARTITION2 --> SSD PARTITION3 --> SSD PARTITIONN --> SSD SSD --> REPLICATION REPLICATION --> BACKUP DynamoDB vs Traditional Databases Feature DynamoDB Traditional RDBMS MongoDB Data Model Key-Value & Document Relational Tables Document Schema Schema-less Fixed Schema Flexible Schema Scaling Horizontal (Auto) Vertical (Manual) Horizontal (Manual) Consistency Eventually Consistent ACID Transactions Configurable Query Language PartiQL & APIs SQL MongoDB Query Language Performance Single-digit millisecond Variable Variable Management Fully Managed Self-Managed Self/Managed Options DynamoDB Data Structures Primary Key Structures DynamoDB supports two types of primary keys:

AWS DynamoDB NoSQL
65 min

AWS Load Balancers: Complete Guide - Application, Network, Gateway, and Classic Load Balancers Comparison with Implementation

🎯 Introduction AWS Load Balancers are critical components for building highly available, fault-tolerant, and scalable applications in the cloud. They distribute incoming traffic across multiple targets, ensuring optimal resource utilization and system reliability. This comprehensive guide explores all AWS Load Balancer types, their unique features, and when to use each one for maximum effectiveness. Understanding the nuances between Application Load Balancer (ALB), Network Load Balancer (NLB), Gateway Load Balancer (GWLB), and Classic Load Balancer (CLB) is essential for architecting robust cloud solutions that can handle varying traffic patterns and requirements.

AWS Load Balancer ALB NLB
60 min

AWS API Gateway: Complete Guide with Load Balancer Comparison, Microservices Architecture, and Java Implementation

🎯 Introduction In modern distributed systems with dozens or hundreds of microservices, managing API traffic becomes increasingly complex. AWS API Gateway emerges as a critical component that acts as a single entry point for all client requests, solving major challenges in microservices architecture. This comprehensive guide explores API Gateway fundamentals, compares it with load balancers, and provides production-ready Java implementations. API Gateway transforms chaotic microservices communication into organized, secure, and scalable architecture patterns that are essential for enterprise-grade applications.

AWS API Gateway Load Balancer Microservices