Dev Team Leadership
Practical, step-by-step guide for new dev team leads: what to do from day zero through delivery cycles, handling crises, and building momentum without the fluff.
Read study guide →Study Guides
Technical study guides on software development, architecture, and more
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Leadership & Team Management
Practical leadership for dev team leads and managers
Leadership skills specific to software architects
1
Architecture Leadership
Master the architect's leadership responsibilities: building effective teams, providing guidance, elastic leadership, negotiating with stakeholders, and integrating with development teams.
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2
Architecture Decision-Making
Master the architect's role in making decisions: frameworks for when to decide, antipatterns to avoid, what makes decisions architecturally significant, and how to capture them with ADRs.
Read study guide →Software Development Lifecycle
Core SDLC concepts, phases, and methodology comparison
1
Software Development Lifecycle (SDLC)
Core SDLC phases from planning through maintenance, CI/CD best practices, and modern development principles for delivering quality software.
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2
SDLC Methodologies Comparison
Comprehensive comparison of software development methodologies including Waterfall, Agile (Scrum, Kanban, XP, Shape Up), Lean, DevOps, and specialized approaches with guidance on selection.
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3
Team Architecture & Organization
Modern team structures and collaboration patterns for software development, including domain-driven design, feature teams, and architectural governance.
Read study guide →Guiding discipline for architects: Align-Agree-Apply
1
AAA Cycle: Align-Agree-Apply
A guiding discipline for architects that emphasizes human connection, shared agreement, and value delivery - transcending any specific SDLC methodology.
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2
AAA Cycle: Phase 1 - Align with the Need
Understand the problem before committing to a solution.
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3
AAA Cycle: Phase 2 - Agree to the Plan
Design the solution and secure commitment to the approach.
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4
AAA Cycle: Phase 3 - Apply the Plan and Deliver
Execute with discipline while maintaining alignment.
Read study guide →Comprehensive guides to major software development methodologies
1
Waterfall Methodology
Comprehensive guide to Waterfall - sequential software development methodology for predictable, documentation-heavy, and highly regulated environments.
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2
Scrum Methodology
Comprehensive guide to Scrum - roles, ceremonies, artifacts, and practices for iterative software development with structure and empirical process control.
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3
Kanban Methodology
Comprehensive guide to Kanban - visualizing workflow, limiting WIP, optimizing flow, and continuous delivery through pull-based systems.
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4
Lean Software Methodology
Comprehensive guide to Lean Software Development - principles, practices, and philosophy for eliminating waste, amplifying learning, and delivering value continuously.
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5
Extreme Programming (XP) Methodology
Comprehensive guide to Extreme Programming (XP) - engineering practices, values, and disciplines for building high-quality software through technical excellence and continuous feedback.
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6
ShapeUp Methodology
Comprehensive guide to Shape Up methodology - Basecamp's approach to product development featuring six-week cycles, shaping, betting, and building phases.
Read study guide →CI/CD, deployment automation, and security integration
1
DevOps Methodology
Comprehensive guide to DevOps - culture, practices, automation, and continuous delivery for breaking down silos and delivering value rapidly.
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2
CI/CD: Continuous Integration and Continuous Delivery
CI/CD fundamentals, pipeline design, automation strategies, security gates, testing approaches, and deployment workflows for modern software delivery.
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3
DevSecOps: Integrating Security into Development
DevSecOps philosophy and practices for making security everyone's responsibility throughout the SDLC, including shift-left security, security culture, and collaborative security practices.
Read study guide →Architecture
Core concepts and principles of software architecture
1
Architecture Foundations
Essential principles of software architecture including trade-off analysis, architectural thinking, the difference between architecture and design, and team organization patterns.
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2
Modularity & Coupling
Understanding cohesion, coupling metrics, connascence, and strategies for managing component dependencies to build maintainable systems.
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3
Architecture Characteristics
How to identify, select, measure, and govern the quality attributes that drive architectural decisions and determine system success.
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4
Distributed Computing Fundamentals
Understanding the fallacies of distributed computing, architecture quantum concept, and how to decide between monolithic and distributed architectures.
Read study guide →Architectural styles from monolithic to distributed
1
Architecture Styles Overview
Comprehensive overview comparing architectural styles from monolithic to distributed and guidance for selecting the right style for your system.
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2
Layered Architecture
Technical layer-based monolithic architecture organizing systems by capability: presentation, business logic, persistence, and database layers.
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3
Pipeline Architecture
Sequential data processing architecture using pipes and filters for ETL, data transformation, and stream processing workflows.
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4
Microkernel Architecture
Plug-in based architecture separating core functionality from customizable extensions for product platforms and adaptable systems.
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5
Modular Monolith Architecture
Domain-driven monolithic architecture partitioning by business capabilities while deploying as a single unit for operational simplicity.
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6
Service-Based Architecture
Pragmatic distributed architecture with coarse-grained domain services balancing scalability and complexity.
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7
Event-Driven Architecture
Asynchronous event-based architecture enabling responsiveness, decoupling, and scalability through event brokers and reactive processors.
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8
Microservices Architecture
Fine-grained distributed architecture maximizing evolvability and independence through bounded contexts and service isolation.
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9
Service-Oriented Architecture (SOA)
Enterprise service architecture with ESB-based integration, service taxonomy, and orchestration for legacy system integration.
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10
Space-Based Architecture
In-memory data grid architecture eliminating database bottlenecks for extreme elasticity and variable unpredictable load.
Read study guide →Architecture governance frameworks, processes, and tools
1
Architecture Governance
Principles, processes, and practices for governing software architecture decisions and ensuring alignment with business objectives
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2
Architecture Governance Frameworks
Enterprise architecture frameworks and governance approaches - when to use them and why
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3
Architecture Governance Tools & Automation
Practical tools and automation for implementing architecture governance - AWS, .NET, IaC, and security
Read study guide →Component design and risk analysis
1
Design & Implementation
Learn component design principles, bounded contexts, coupling types, logical vs physical architecture, and practical implementation strategies for distributed systems.
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2
Domain-Driven Design (DDD)
Comprehensive guide to Domain-Driven Design covering strategic design (bounded contexts, context mapping, ubiquitous language) and tactical design (entities, value objects, aggregates, repositories) for modeling complex business domains
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3
API Design & Architecture
Comprehensive guide to designing, architecting, and evolving APIs for distributed systems including REST, GraphQL, versioning strategies, and API governance
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4
Testing Strategy & Architecture
Comprehensive guide to testing distributed systems including test strategy patterns, contract testing, property-based testing, testing architectural characteristics, and testing in production
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5
Performance Engineering
Comprehensive guide to performance engineering including requirements definition, profiling and analysis, optimization strategies, capacity planning, performance testing methodology, and architectural patterns for scalable systems
Read study guide →Visual modeling and diagramming techniques
Architectural and design patterns for distributed systems
1
Communication Patterns
Essential patterns for distributed service communication including load balancing, pub/sub, request-reply, circuit breaker, and retry strategies.
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2
Messaging Patterns
Reliable messaging patterns including transactional outbox/inbox, saga pattern, event sourcing, and message versioning for distributed systems.
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3
Coordination Patterns
Distributed coordination patterns including leader election, distributed locks, consensus algorithms, and managing shared resources across multiple nodes.
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4
Orchestration and Choreography Patterns
Compare centralized orchestration vs distributed choreography for coordinating complex business processes across multiple services with trade-offs and implementation patterns.
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5
Integration Patterns
Essential integration patterns for connecting systems including pipes and filters, API gateway, service mesh, and data transformation strategies.
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6
Data Management Patterns
Database patterns for distributed systems including database-per-service, CQRS, event sourcing, saga pattern, and handling data consistency challenges.
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7
Performance and Scalability Patterns
Optimize system performance and scale with patterns for caching, throttling, load shedding, horizontal/vertical scaling, and partitioning strategies.
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8
Reliability Patterns
Build resilient systems with circuit breakers, retries, bulkheads, health checks, and graceful degradation patterns for handling failures.
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9
Deployment and Infrastructure Patterns
Infrastructure patterns including sidecar, ambassador, anti-corruption layer, blue-green deployment, and canary releases for robust deployment strategies.
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10
Legacy Modernization Strategies
Comprehensive guide to modernizing legacy systems including strangler fig pattern, anti-corruption layers, incremental migration techniques, risk mitigation, and decision frameworks for brownfield vs greenfield approaches
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11
Service Mesh Architecture
Comprehensive guide to service mesh architecture covering core concepts, patterns, when to adopt, service mesh vs API gateway, and implementation considerations for AWS ECS (App Mesh) and EKS (Istio, Linkerd)
Read study guide →Database fundamentals, data processing, and modern data architectures
Cost analysis, ROI, and financial aspects of architecture
1
Total Cost of Ownership (TCO)
Understanding and calculating the complete cost of technology solutions over their entire lifecycle, including hidden costs and optimization strategies.
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2
Return on Investment (ROI)
Measuring financial returns from technology investments, including ROI calculation methods, benefit quantification, and decision frameworks for architecture decisions.
Read study guide →Security
Core security concepts and principles
1
Security Foundations
Master fundamental security concepts including the CIA triad, defense-in-depth principles, trust models, and security-by-design practices for building secure systems.
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2
Frameworks and Standards
Comprehensive overview of security frameworks including NIST CSF 2.0, OWASP standards, ISO 27000 series, CIS Controls, and MITRE ATT&CK.
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3
Best Practices and Quick Reference
Practical security best practices covering network segmentation, endpoint protection, IAM, data encryption, application security, and 2025 security trends.
Read study guide →Understanding and defending against security threats
1
Threats and Vulnerabilities
Explore threat actor classifications from script kiddies to nation-states, vulnerability management with CVE and CVSS, and risk assessment methodologies.
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2
Modern Attack Vectors
Understand contemporary cyber threats including social engineering, phishing variants, injection attacks, advanced persistent threats, and ransomware with prevention strategies.
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3
Security Controls and Defense
Implement defense-in-depth strategies, zero trust architecture principles, access control models, and network security fundamentals for comprehensive protection.
Read study guide →Securing applications and data
1
Application Security
Comprehensive guide to secure development lifecycle, threat modeling methodologies including STRIDE and PASTA, and essential secure coding practices for robust applications.
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2
Data Protection
Comprehensive coverage of data classification, encryption for data at rest/in transit/in use, privacy regulations like GDPR and HIPAA, and data loss prevention strategies.
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3
Security Testing
Master security testing methodologies including SAST, DAST, IAST, penetration testing phases, and vulnerability assessment techniques for comprehensive application security.
Read study guide →Compliance, incident response, and governance
1
Compliance and Governance
Essential framework for risk management, compliance standards like SOX and PCI DSS, security auditing processes, and continuous monitoring strategies.
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2
Incident Response and Recovery
Learn the NIST incident response lifecycle including preparation, detection, containment, eradication, recovery, and post-incident analysis with team structure and communication strategies.
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3
Emerging Technologies
Explore security challenges in AI/ML, cloud computing, IoT devices, blockchain smart contracts, and quantum computing's impact on cryptography.
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4
Tools and Resources
Comprehensive catalog of security assessment tools, vulnerability scanners, SIEM platforms, threat intelligence resources, and compliance automation tools.
Read study guide →Data Structures & Algorithms
Core data structures and complexity analysis
1
Big O Notation - The Basics
Build practical intuition for algorithm complexity from O(1) to O(2ⁿ), with rules for analysis, space complexity fundamentals, and common misconceptions debunked.
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2
Asymptotic Notation
Deep dive into mathematical foundations of algorithm analysis covering Big O, Omega, and Theta notations with detailed examples and practical analysis techniques.
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3
Complexity Cheat Sheet
Quick reference for time and space complexity of common data structures, algorithms, and operations with practical guidelines for algorithm selection and performance optimization.
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4
Practical Decision Guide
Practical guide for choosing the right data structure and algorithm for your problem, comparing interview practices with production best practices.
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5
Algorithm Design Paradigms
Master four fundamental algorithm design approaches: dynamic programming, greedy algorithms, divide-and-conquer, and backtracking with practical examples and complexity analysis.
Read study guide →Arrays, lists, stacks, and queues
1
Arrays & Dynamic Arrays
Master static and dynamic arrays with O(1) access, amortized analysis, common techniques like two pointers and sliding window, and essential interview problems.
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2
Linked Lists
Learn singly and doubly linked lists with implementations, time complexity analysis, and common interview problems including cycle detection and reversal.
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3
Stacks & Queues
Master stack (LIFO) and queue (FIFO) data structures with implementations, common applications like BFS, and variations including priority queues and circular queues.
Read study guide →Tree structures and heap-based data structures
1
Tree Fundamentals
Learn tree fundamentals including terminology, types, traversal methods, and why trees enable logarithmic time operations for hierarchical data structures.
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2
Trees & Binary Search Trees
Comprehensive guide to binary search trees covering implementation, traversal algorithms, search operations, and understanding when to use tree structures.
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3
Advanced Tree Structures
Master advanced tree structures including tries for prefix matching, segment trees, balanced trees like AVL and Red-Black, and specialized applications.
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4
Heaps & Priority Queues
Learn heap data structure properties, heapify operations, priority queue implementations, and applications from task scheduling to finding top-K elements.
Read study guide →Graph structures and algorithms
1
Graph Fundamentals
Foundation of graph theory covering terminology, representations, graph types, and basic traversal concepts for modeling complex relationships and networks.
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2
Graphs & Graph Algorithms
Complete guide to graphs covering representations, traversal algorithms (BFS/DFS), and applications from social networks to pathfinding problems.
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3
Advanced Graph Algorithms
Advanced graph algorithms including Dijkstra's shortest path, topological sorting, minimum spanning trees, and network flow problems with practical implementations.
Read study guide →Hashing, searching, sorting, and recursion
1
Hash Tables
Master hash tables with O(1) average lookups, collision resolution strategies, hash function design, and practical applications from caching to frequency counting.
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2
Search Algorithms
Compare linear and binary search algorithms with complexity analysis, when to use each approach, and implementing efficient search strategies.
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3
Sorting Algorithms
Comprehensive guide to sorting algorithms from bubble sort to quick sort, with complexity comparisons, stability analysis, and practical selection criteria.
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4
Recursion
Master recursive thinking with base cases, recursive cases, common patterns, memoization techniques, and converting between recursive and iterative solutions.
Read study guide →Programming Patterns
Core object-oriented concepts and principles
1
OOP Fundamentals
Master the four pillars of object-oriented programming: abstraction, encapsulation, inheritance, and polymorphism with practical C# examples and modern best practices.
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2
SOLID Principles
Deep dive into SOLID principles: Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion with practical examples.
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3
Modern Best Practices
Modern OOP practices including composition over inheritance, dependency injection, immutability, functional programming concepts, and avoiding common antipatterns.
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4
OOP Quick Reference
Quick reference guide to all design patterns organized by category with purpose, use cases, and practical guidance for pattern selection.
Read study guide →Gang of Four design patterns and their applications
1
Creational Patterns
Creational design patterns including Builder, Factory Method, Abstract Factory, Singleton, and Prototype with modern C# implementations and best practices.
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2
Structural Patterns
Structural design patterns including Adapter, Bridge, Composite, Decorator, Facade, Flyweight, and Proxy for flexible object composition.
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3
Behavioral Patterns
Behavioral design patterns for object communication including Observer, Strategy, Command, Template Method, Chain of Responsibility, and State patterns.
Read study guide →Observability
System monitoring and observability fundamentals
1
Observability Fundamentals
Build observable systems with the three pillars: distributed logging, metrics monitoring, and distributed tracing, plus profiling and best practices.
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2
Observability Architecture & Strategy
Advanced observability patterns including distributed tracing strategies, SLO/SLI frameworks, sampling techniques, cardinality management, OpenTelemetry adoption, and observability-driven development for production systems
Read study guide →Networking
AWS
Well-Architected Framework and architectural decision-making
IAM, Identity Center, Organizations, and security controls
VPC, subnets, routing, PrivateLink, and network connectivity
1
AWS VPC: Network Architecture
VPC fundamentals for architects including subnets, routing, security groups, NACLs, and multi-AZ and multi-VPC patterns for building secure and scalable network architectures.
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2
AWS Route 53 for System Architects
Comprehensive guide to AWS Route 53 covering DNS routing policies, health checks, traffic management, failover strategies, cost optimization, and global traffic distribution
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3
AWS CloudFront for System Architects
Comprehensive guide to AWS CloudFront covering CDN architecture, edge locations, caching strategies, Lambda@Edge vs CloudFront Functions, Origin Shield, security, cost optimization, and global content delivery
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4
AWS Elastic Load Balancing for System Architects
Comprehensive guide to AWS Elastic Load Balancing covering ALB, NLB, and GWLB comparison, target groups, health checks, TLS termination, cross-zone load balancing, cost optimization, and deployment patterns
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5
AWS API Gateway for System Architects
Comprehensive guide to AWS API Gateway covering REST vs HTTP APIs, authorization mechanisms, throttling and rate limiting, caching strategies, cost optimization, and integration patterns
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6
AWS Direct Connect & VPN for System Architects
Comprehensive guide to AWS Direct Connect and Site-to-Site VPN covering hybrid connectivity options, resiliency patterns, high availability architectures, cost analysis, and when to use each solution
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7
AWS PrivateLink & Transit Gateway for System Architects
Comprehensive guide to AWS PrivateLink and Transit Gateway covering private service connectivity, multi-VPC architectures, hub-and-spoke patterns, cost comparison with VPC peering, and scaling strategies
Read study guide →EC2, Lambda, ECS, EKS, and compute service selection
1
EC2 for System Architects
Comprehensive guide to AWS EC2 instance selection, cost optimization, security, high availability, and architectural patterns for system architects
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2
AWS Lambda for System Architects
Comprehensive guide to AWS Lambda covering event-driven patterns, performance optimization, cost strategies, security, and when to use serverless vs alternatives
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3
AWS Container Services: ECS, EKS, and Fargate
Comprehensive guide to AWS container orchestration covering ECS, EKS, Fargate, cost optimization, deployment patterns, and service selection frameworks
Read study guide →S3, EBS, EFS, and storage architecture patterns
1
AWS S3 for System Architects
Comprehensive guide to AWS S3 covering storage classes, cost optimization, security, performance, and architectural patterns for system architects
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2
AWS EBS & EFS for System Architects
Comprehensive guide to AWS EBS and EFS covering volume types, file systems, performance optimization, cost management, and when to use block vs file storage
Read study guide →RDS, DynamoDB, Aurora, and database selection
1
AWS RDS & Aurora for System Architects
Comprehensive guide to AWS RDS and Aurora covering database engines, high availability, performance optimization, Aurora Serverless, cost management, and when to use RDS vs Aurora
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2
AWS DynamoDB for System Architects
Comprehensive guide to AWS DynamoDB covering partition key design, capacity modes, indexes, single-table design, DynamoDB Streams, cost optimization, and when to use NoSQL vs relational databases
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3
AWS ElastiCache for System Architects
Comprehensive guide to AWS ElastiCache covering Redis vs Memcached, cluster modes, caching strategies, ElastiCache Serverless, cost optimization, and high availability patterns
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4
AWS Redshift for System Architects
Comprehensive guide to AWS Redshift covering Serverless vs provisioned clusters, RA3 node types, distribution and sort keys, Redshift Spectrum, cost optimization, and data warehousing best practices
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5
AWS Database Service Selection for System Architects
Comprehensive decision framework for selecting the right AWS database service (RDS/Aurora, DynamoDB, ElastiCache, Redshift) based on workload characteristics, performance requirements, and cost constraints
Read study guide →CloudFormation for infrastructure automation and management
1
AWS CloudFormation: Fundamentals
Core CloudFormation concepts including stacks, templates, resources, and basic workflow for managing AWS infrastructure as code.
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2
CloudFormation Template Reference
Complete reference for CloudFormation intrinsic functions, parameters, outputs, mappings, and conditions with practical examples.
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3
CloudFormation Advanced Features
Change sets, nested stacks, StackSets, custom resources, drift detection, and best practices for production CloudFormation deployments.
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4
AWS CloudFormation: Migrating Existing Resources
Complete guide for migrating resources to CloudFormation: importing unmanaged resources, moving resources between stacks, and stack refactoring with the latest AWS solutions.
Read study guide →SQS, SNS, EventBridge, Step Functions, Kinesis, and messaging patterns
1
AWS SQS & SNS for System Architects
Comprehensive guide to AWS SQS and SNS covering queue types, pub/sub patterns, fanout architecture, dead letter queues, cost optimization, and messaging best practices for decoupled systems
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2
AWS EventBridge for System Architects
Comprehensive guide to AWS EventBridge covering event buses, rules, targets, EventBridge Pipes and Scheduler, event-driven architecture patterns, SNS comparison, and cost optimization for building scalable serverless applications
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3
AWS Step Functions for System Architects
Comprehensive guide to AWS Step Functions covering Standard and Express workflows, state types, error handling, orchestration vs choreography patterns, service integrations, and cost optimization for building resilient distributed applications
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4
AWS Kinesis for System Architects
Comprehensive guide to AWS Kinesis covering Data Streams and Firehose for real-time streaming, sharding strategies, scaling patterns, cost optimization, and comparison with SQS for event processing
Read study guide →Threat detection, security posture, compliance monitoring, and encryption
1
AWS Security Hub & GuardDuty for System Architects
Comprehensive guide to AWS Security Hub and GuardDuty covering threat detection, security posture management, findings aggregation, integration patterns, automated remediation, and cost optimization for defense-in-depth security
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2
AWS CloudTrail & Config for System Architects
Comprehensive guide to AWS CloudTrail and Config covering audit logging, compliance monitoring, organizational trails, configuration change tracking, and cost optimization for governance and security
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3
AWS WAF & Shield for System Architects
Comprehensive guide to AWS WAF and Shield covering web application firewall, DDoS protection, managed rules, rate limiting, bot control, and cost optimization for application and network layer defense
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4
AWS KMS & Secrets Manager for System Architects
Comprehensive guide to AWS KMS and Secrets Manager covering encryption key management, automatic secret rotation, envelope encryption, Parameter Store comparison, and cost optimization for data protection
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5
AWS Organizations & Control Tower for System Architects
Comprehensive guide to AWS Organizations and Control Tower covering multi-account strategy, organizational units, service control policies, guardrails, landing zones, and governance best practices for enterprise AWS deployments
Read study guide →Monitoring, observability, systems management, and cost optimization
1
AWS CloudWatch for System Architects
Comprehensive guide to AWS CloudWatch covering metrics, alarms, dashboards, Logs Insights, cross-account observability, and cost optimization strategies for monitoring and operational excellence
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2
AWS X-Ray for System Architects
Comprehensive guide to AWS X-Ray covering distributed tracing, service maps, trace analysis, integration patterns, performance optimization, and troubleshooting strategies for microservices architectures
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3
AWS Systems Manager for System Architects
Comprehensive guide to AWS Systems Manager covering Session Manager, Patch Manager, Parameter Store, Run Command, State Manager, automation, fleet management, and operational best practices
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4
AWS Cost Management & Optimization for System Architects
Comprehensive guide to AWS cost management covering Cost Explorer, Budgets, Compute Optimizer, Trusted Advisor, Savings Plans, Reserved Instances, and cost optimization strategies for achieving financial efficiency at scale
Read study guide →CI/CD pipelines, build automation, and deployment orchestration
1
AWS CodePipeline & CodeBuild for System Architects
Comprehensive guide to AWS CodePipeline and CodeBuild covering pipeline orchestration, build automation, cross-account deployments, integration patterns, cost optimization, and CI/CD best practices
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2
AWS CodeDeploy for System Architects
Comprehensive guide to AWS CodeDeploy covering deployment strategies, blue/green deployments, canary releases, rollback mechanisms, integration with EC2/Lambda/ECS, and deployment automation best practices
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3
AWS CDK for System Architects
Comprehensive guide to AWS Cloud Development Kit (CDK) covering infrastructure as code with programming languages, constructs, stacks, comparison with CloudFormation, integration patterns, and best practices for TypeScript, Python, and other supported languages
Read study guide →ETL, data lakes, serverless analytics, and BI tools
1
AWS Glue: Serverless ETL & Data Catalog
ETL job orchestration, data crawlers, schema discovery, and serverless data transformation at scale
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2
AWS Athena: Serverless SQL Analytics
Serverless SQL queries on S3 data lakes with partition optimization, cost control, and performance tuning strategies
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3
AWS QuickSight: Serverless Business Intelligence
BI dashboards, SPICE in-memory engine, embedded analytics, ML-powered insights, and cost-effective visualization at scale
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4
Modern Data Architecture on AWS
Data lake patterns, service selection frameworks, data warehouse vs lake house architectures, and integration strategies
Read study guide →SageMaker ML platform and AWS AI services for production workloads
1
AWS SageMaker: ML Platform Essentials
ML model training, deployment, endpoints, SageMaker Studio, cost optimization, and service selection for production ML workloads
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2
AWS Rekognition & Textract: Vision AI Services
Image and video analysis with Rekognition, document intelligence with Textract, use cases, and cost optimization
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3
AWS Comprehend & Translate: Language AI Services
Natural language processing with Comprehend, real-time translation with Translate, sentiment analysis, entity extraction, and multilingual applications
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4
AWS Transcribe & Polly
Speech-to-text, text-to-speech, voice synthesis, real-time transcription, and audio processing use cases
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5
ML on AWS - Service Selection
Decision framework for choosing between SageMaker, AI services, and custom ML solutions based on use case, expertise, and cost
Read study guide →Cloud migration strategies, planning, and execution best practices
1
AWS Migration Strategy
The 6 Rs migration framework, AWS Cloud Adoption Framework, migration planning, and best practices for successful cloud migrations
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2
AWS Application Migration Service & Database Migration Service
AWS MGN for application rehosting, AWS DMS for database migrations, homogeneous and heterogeneous migrations, and migration best practices
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3
AWS Hybrid Cloud Architecture
Hybrid cloud connectivity options including Direct Connect, VPN, Storage Gateway, and Outposts with decision frameworks and cost analysis
Read study guide →Serverless patterns, event-driven design, and production best practices
1
Serverless Architecture Patterns on AWS
Event-driven patterns, CQRS, saga orchestration, observability, cost optimization, and anti-patterns for serverless applications on AWS
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2
AWS SAM - Serverless Application Model
AWS SAM templates, local testing, deployment pipelines, and comparison with AWS CDK for serverless infrastructure as code
Read study guide →Advanced container patterns, security, and service mesh architectures
1
AWS ECR & Container Security for System Architects
Comprehensive guide to AWS Elastic Container Registry and container security covering image scanning, lifecycle policies, replication, runtime security, and secrets management
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2
Advanced Container Patterns on AWS for System Architects
Comprehensive guide to advanced ECS and EKS patterns covering service discovery, capacity providers, service mesh, autoscaling, and multi-cluster architectures
Read study guide →Multi-region architectures and disaster recovery strategies
1
Multi-Region Architecture on AWS for System Architects
Comprehensive guide to multi-region AWS architectures covering active-active, active-passive, data replication, Route 53 routing, and cost optimization
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2
Disaster Recovery on AWS for System Architects
Comprehensive guide to disaster recovery on AWS covering RTO/RPO targets, backup strategies, pilot light, warm standby, multi-site, and cost optimization
Read study guide →Infrastructure & Cloud
Multi-cloud IaC fundamentals, tools, patterns, and best practices
1
Infrastructure as Code: Fundamentals
Core IaC concepts including declarative vs. imperative approaches, idempotency, immutability, and why IaC matters for modern infrastructure.
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2
IaC Tools Comparison and Selection Guide
Comprehensive comparison of IaC tools including CloudFormation, Terraform, Pulumi, Ansible, and others to help choose the right tool for your needs.
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3
IaC Implementation Patterns
Modular design, environment separation, layered architecture, and GitOps workflow patterns for organizing IaC code effectively.
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4
IaC State Management
Understanding infrastructure state, remote backends, state locking, and best practices for managing IaC state across teams.
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5
IaC Environment Lifecycle Patterns
Managing environment recreation, resource discovery, and handling mutable vs. immutable identifiers when recreating infrastructure.
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6
IaC Testing Strategies
Static analysis, unit testing, integration testing, and compliance testing strategies for infrastructure code.
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7
IaC Governance and Compliance
Enforcing tagging standards, automated drift detection, compliance monitoring, and governance at scale using AWS Config, Organizations, and automation.
Read study guide →Deployment strategies, disaster recovery, and operational resilience
1
Deployment Strategies
Deployment strategies define how new versions of applications are released to production environments. Learn about Rolling, Blue-Green, Canary, A/B Testing deployments, and Chaos Engineering.
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2
Disaster Recovery Patterns
Business continuity strategies from backup-and-restore to multi-site hot-standby, comparing RTO/RPO requirements, costs, and implementation approaches for disaster recovery.
Read study guide →Web Development
Data & Analytics
AI & Machine Learning
Core ML concepts and techniques
1
Machine Learning
Comprehensive ML fundamentals covering supervised/unsupervised learning, model training, neural networks, MLOps practices, and 2025 industry trends.
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2
Generative AI
Generative AI including popular tools, prompt engineering techniques, transformer architectures, RAG systems, and practical integration strategies for 2025.
Read study guide →.NET & C#
Essential programming concepts and terminology that underpin C# and modern software development
1
Programming Terminology
Essential programming concepts and terminology that form the foundation for understanding C# and modern software development
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2
Compilation and Runtime
How .NET compiles and executes code: IL, JIT, AOT, tiered compilation, trimming, and deployment models
Read study guide →Core C# language features: types, operators, control flow, methods, and more
1
C# Types and Variables
Understanding C#'s type system including value types, reference types, type inference, and memory behavior.
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2
C# Operators and Expressions
Complete guide to C# operators from arithmetic basics to modern pattern matching, null handling, and expression-bodied members.
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3
C# Control Flow
Conditionals, loops, and branching in C# including modern switch expressions and pattern-based control flow.
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4
C# Methods and Parameters
Method declarations, parameter passing mechanisms, expression-bodied members, local functions, and modern method features.
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5
C# Delegates and Events
Delegates, events, multicast delegates, built-in delegate types, and the event pattern in C#.
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6
C# Strings and Text Processing
String manipulation, StringBuilder, string interpolation, formatting, parsing, and high-performance text processing.
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7
C# Exceptions and Error Handling
Exception handling, custom exceptions, error patterns, and best practices for robust error management.
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8
C# Attributes and Reflection
Attributes for metadata, reflection for runtime type inspection, and practical patterns for metaprogramming.
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9
C# Memory Management and Garbage Collection
Understanding the .NET garbage collector, memory allocation, generations, finalization, and best practices for efficient memory usage.
Read study guide →Classes, structs, records, interfaces, inheritance, and properties
1
C# Classes and Structs
Understanding classes, structs, and records in C# including when to use each, initialization patterns, and best practices.
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2
C# Interfaces and Inheritance
Interfaces, inheritance hierarchies, polymorphism, and default interface implementations in modern C#.
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3
C# Properties and Indexers
Properties, auto-properties, computed properties, indexers, and modern initialization patterns in C#.
Read study guide →Modern C# features: nullable types, pattern matching, and records
1
C# Nullable Reference Types
Nullable reference types, null safety annotations, and patterns for eliminating null reference exceptions in C#.
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2
C# Pattern Matching
Comprehensive guide to pattern matching in C# from type patterns to list patterns, with practical examples and best practices.
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3
C# Records and Immutability
Records, immutable patterns, with expressions, and designing for immutability in modern C#.
Read study guide →Asynchronous programming, parallel processing, streaming, and synchronization
1
C# Async/Await Fundamentals
Asynchronous programming with async/await, Task-based patterns, cancellation, and best practices for I/O-bound operations.
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2
C# Parallel and Concurrent Programming
Parallel processing, concurrent collections, thread synchronization, and CPU-bound work in C#.
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3
C# Streaming and Pipelines
IAsyncEnumerable, System.IO.Pipelines, channels, and high-performance streaming patterns.
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4
C# Synchronization Primitives
Thread synchronization with locks, semaphores, mutexes, and signaling mechanisms for safe concurrent programming.
Read study guide →Collections, generics, Span, Memory, and high-performance data handling
1
C# Collections Overview
Arrays, lists, dictionaries, sets, spans, and choosing the right collection for your use case.
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2
C# Generics
Generic types, methods, constraints, variance, and building reusable type-safe components.
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3
C# Span, Memory, and High-Performance Patterns
Zero-allocation programming with Span
Essential .NET libraries: LINQ, Entity Framework, DI, networking, configuration, logging, and common utilities
1
C# LINQ
Language Integrated Query (LINQ) fundamentals, query operations, deferred execution, and practical patterns.
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2
Entity Framework Core
Entity Framework Core fundamentals including DbContext, queries, relationships, migrations, and performance best practices.
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3
C# Console and Environment
Console input/output, formatting, colors, environment variables, and binary serialization.
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4
C# Dependency Injection
Microsoft.Extensions.DependencyInjection, service lifetimes, registration patterns, and DI best practices.
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5
C# HttpClient and Networking
HttpClient patterns, IHttpClientFactory, resilience, REST APIs, and modern networking best practices.
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6
C# Caching Patterns
In-memory caching, distributed caching, cache strategies, and best practices for performance optimization.
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7
C# Configuration and Options Pattern
Application configuration with IConfiguration, strongly-typed options, secrets management, and configuration providers.
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8
C# Logging with Microsoft.Extensions.Logging
Structured logging with ILogger, log levels, scopes, providers, and high-performance logging patterns.
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9
C# JSON Serialization
JSON serialization with System.Text.Json including configuration, custom converters, and source generation.
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10
C# Regular Expressions
Pattern matching with System.Text.RegularExpressions including common patterns, groups, replacements, and source generation.
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11
C# Timers and Scheduling
Timer types in .NET, periodic execution, and scheduling patterns for background work.
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12
C# File System Operations
File and directory operations with System.IO including reading, writing, paths, and async file handling.
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13
C# Cryptography Basics
Hashing, encryption, and secure random generation with System.Security.Cryptography.
Read study guide →Source generators, unsafe code, expression trees, and native interop
1
C# Source Generators
Compile-time code generation for boilerplate reduction, performance optimization, and metaprogramming without runtime reflection.
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2
C# Unsafe Code and Pointers
Direct memory manipulation with pointers, fixed buffers, and interop scenarios requiring unsafe code in C#.
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3
C# Expression Trees
Building and manipulating code as data structures with expression trees for dynamic queries, metaprogramming, and runtime code generation.
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4
C# Native Interop (P/Invoke and COM)
Calling native code from C# with P/Invoke, LibraryImport, COM interop, and marshaling techniques.
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