Technical study guides on software development, architecture, and more
Core SDLC concepts and methodologies
Core SDLC phases from planning through maintenance, CI/CD best practices, and modern development principles for delivering quality software.
Read study guide →Comprehensive comparison of software development methodologies including Waterfall, Agile (Scrum, Kanban, XP), Lean, DevOps, and specialized approaches with guidance on selection.
Read study guide →Comprehensive guide to Shape Up methodology - Basecamp's approach to product development featuring six-week cycles, shaping, betting, and building phases.
Read study guide →Modern team structures and collaboration patterns for software development, including domain-driven design, feature teams, and architectural governance.
Read study guide →CI/CD, deployment automation, and security integration
CI/CD fundamentals, pipeline design, automation strategies, security gates, testing approaches, and deployment workflows for modern software delivery.
Read study guide →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 →Comprehensive framework for architects: Align-Agree-Apply
A guiding discipline for architects that emphasizes human connection, shared agreement, and value delivery - transcending any specific SDLC methodology.
Read study guide →Understand the problem before committing to a solution.
Read study guide →Design the solution and secure commitment to the approach.
Read study guide →Execute with discipline while maintaining alignment.
Read study guide →Core concepts and principles of software architecture
Architectural styles from monolithic to distributed
Decision-making, leadership, and architecture governance
Master architect responsibilities, decision-making frameworks, ADRs, risk management, team leadership, and navigating organizational politics for effective technical leadership.
Read study guide →Principles, processes, and practices for governing software architecture decisions and ensuring alignment with business objectives
Read study guide →Enterprise architecture frameworks and governance approaches - when to use them and why
Read study guide →Practical tools and automation for implementing architecture governance - AWS, .NET, IaC, and security
Read study guide →Component design and risk analysis
Visual modeling and diagramming techniques
Architectural and design patterns for distributed systems
Essential patterns for distributed service communication including load balancing, pub/sub, request-reply, circuit breaker, and retry strategies.
Read study guide →Reliable messaging patterns including transactional outbox/inbox, saga pattern, event sourcing, and message versioning for distributed systems.
Read study guide →Distributed coordination patterns including leader election, distributed locks, consensus algorithms, and managing shared resources across multiple nodes.
Read study guide →Compare centralized orchestration vs distributed choreography for coordinating complex business processes across multiple services with trade-offs and implementation patterns.
Read study guide →Essential integration patterns for connecting systems including pipes and filters, API gateway, service mesh, and data transformation strategies.
Read study guide →Database patterns for distributed systems including database-per-service, CQRS, event sourcing, saga pattern, and handling data consistency challenges.
Read study guide →Optimize system performance and scale with patterns for caching, throttling, load shedding, horizontal/vertical scaling, and partitioning strategies.
Read study guide →Build resilient systems with circuit breakers, retries, bulkheads, health checks, and graceful degradation patterns for handling failures.
Read study guide →Infrastructure patterns including sidecar, ambassador, anti-corruption layer, blue-green deployment, and canary releases for robust deployment strategies.
Read study guide →Safely modernize legacy systems with strangler fig pattern, anti-corruption layer, branch by abstraction, and gradual migration strategies.
Read study guide →Data architecture and disaster recovery
Comprehensive data architecture covering database fundamentals, ACID properties, ETL pipelines, big data processing, and modern data lakehouse architectures.
Read study guide →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 →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.
Read study guide →Cost analysis, ROI, and financial aspects of architecture
Understanding and calculating the complete cost of technology solutions over their entire lifecycle, including hidden costs and optimization strategies.
Read study guide →Measuring financial returns from technology investments, including ROI calculation methods, benefit quantification, and decision frameworks for architecture decisions.
Read study guide →Core security concepts and principles
Master fundamental security concepts including the CIA triad, defense-in-depth principles, trust models, and security-by-design practices for building secure systems.
Read study guide →Comprehensive overview of security frameworks including NIST CSF 2.0, OWASP standards, ISO 27000 series, CIS Controls, and MITRE ATT&CK.
Read study guide →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
Explore threat actor classifications from script kiddies to nation-states, vulnerability management with CVE and CVSS, and risk assessment methodologies.
Read study guide →Understand contemporary cyber threats including social engineering, phishing variants, injection attacks, advanced persistent threats, and ransomware with prevention strategies.
Read study guide →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
Comprehensive guide to secure development lifecycle, threat modeling methodologies including STRIDE and PASTA, and essential secure coding practices for robust applications.
Read study guide →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.
Read study guide →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
Essential framework for risk management, compliance standards like SOX and PCI DSS, security auditing processes, and continuous monitoring strategies.
Read study guide →Learn the NIST incident response lifecycle including preparation, detection, containment, eradication, recovery, and post-incident analysis with team structure and communication strategies.
Read study guide →Explore security challenges in AI/ML, cloud computing, IoT devices, blockchain smart contracts, and quantum computing's impact on cryptography.
Read study guide →Comprehensive catalog of security assessment tools, vulnerability scanners, SIEM platforms, threat intelligence resources, and compliance automation tools.
Read study guide →Core data structures and complexity analysis
Build practical intuition for algorithm complexity from O(1) to O(2ⁿ), with rules for analysis, space complexity fundamentals, and common misconceptions debunked.
Read study guide →Deep dive into mathematical foundations of algorithm analysis covering Big O, Omega, and Theta notations with detailed examples and practical analysis techniques.
Read study guide →Quick reference for time and space complexity of common data structures, algorithms, and operations with practical guidelines for algorithm selection and performance optimization.
Read study guide →Practical guide for choosing the right data structure and algorithm for your problem, comparing interview practices with production best practices.
Read study guide →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
Master static and dynamic arrays with O(1) access, amortized analysis, common techniques like two pointers and sliding window, and essential interview problems.
Read study guide →Learn singly and doubly linked lists with implementations, time complexity analysis, and common interview problems including cycle detection and reversal.
Read study guide →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
Learn tree fundamentals including terminology, types, traversal methods, and why trees enable logarithmic time operations for hierarchical data structures.
Read study guide →Comprehensive guide to binary search trees covering implementation, traversal algorithms, search operations, and understanding when to use tree structures.
Read study guide →Master advanced tree structures including tries for prefix matching, segment trees, balanced trees like AVL and Red-Black, and specialized applications.
Read study guide →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
Foundation of graph theory covering terminology, representations, graph types, and basic traversal concepts for modeling complex relationships and networks.
Read study guide →Complete guide to graphs covering representations, traversal algorithms (BFS/DFS), and applications from social networks to pathfinding problems.
Read study guide →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
Master hash tables with O(1) average lookups, collision resolution strategies, hash function design, and practical applications from caching to frequency counting.
Read study guide →Compare linear and binary search algorithms with complexity analysis, when to use each approach, and implementing efficient search strategies.
Read study guide →Comprehensive guide to sorting algorithms from bubble sort to quick sort, with complexity comparisons, stability analysis, and practical selection criteria.
Read study guide →Master recursive thinking with base cases, recursive cases, common patterns, memoization techniques, and converting between recursive and iterative solutions.
Read study guide →Core OOP concepts and principles
Master the four pillars of object-oriented programming: abstraction, encapsulation, inheritance, and polymorphism with practical C# examples and modern best practices.
Read study guide →Deep dive into SOLID principles: Single Responsibility, Open/Closed, Liskov Substitution, Interface Segregation, and Dependency Inversion with practical examples.
Read study guide →Modern OOP practices including composition over inheritance, dependency injection, immutability, functional programming concepts, and avoiding common antipatterns.
Read study guide →Quick reference guide to all design patterns organized by category with purpose, use cases, and practical guidance for pattern selection.
Read study guide →Common design patterns and their applications
Creational design patterns including Builder, Factory Method, Abstract Factory, Singleton, and Prototype with modern C# implementations and best practices.
Read study guide →Structural design patterns including Adapter, Bridge, Composite, Decorator, Facade, Flyweight, and Proxy for flexible object composition.
Read study guide →Behavioral design patterns for object communication including Observer, Strategy, Command, Template Method, Chain of Responsibility, and State patterns.
Read study guide →Functional error handling pattern replacing exceptions with explicit Result types, making failure cases clear and composable for robust C# applications.
Read study guide →System monitoring and observability fundamentals
Core networking concepts for developers
Search engine optimization and web best practices
Core ML concepts and techniques
Comprehensive ML fundamentals covering supervised/unsupervised learning, model training, neural networks, MLOps practices, and 2025 industry trends.
Read study guide →Generative AI including popular tools, prompt engineering techniques, transformer architectures, RAG systems, and practical integration strategies for 2025.
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Steven Stuart