Scalable Software Architecture – Foundations for Building Big, Bold Systems
What if your system could scale effortlessly—without melting down under pressure? This bundle shows you how.
Created by James Dabalus
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Skill level
All levels
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Sections
14
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Lectures
74
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Instructor
James Dabalus
What's inside
This course includes.
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14
Sections
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74
Lectures
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17
Quizzes
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Welcome! 3 lectures
What You'll Learn
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What You'll Need
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Submit a Question / Feedback
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+ Test Your Prerequisite Knowledge 3 lectures
HTML Prerequisite Quiz
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Python Prerequisite Quiz
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JavaScript Prerequisite Quiz
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+ 01 Understanding Scalability Fundamentals 6 lectures
01 What Makes Systems Truly Scalable?
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02 The economics of scaling: Performance vs. Cost trade-offs
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03 System growth patterns and their implications
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04 Replication and optimization: Core strategies for scaling
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05 Measuring and benchmarking scale capabilities
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06 Real-world case studies: When systems failed to scale
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+ 02 Building Blocks of Modern Distributed Systems 6 lectures
01 Network foundations for distributed applications
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02 Addressing the challenges of distributed communications
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03 Dealing with partial failures and network uncertainty
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04 Time synchronization challenges across distributed components
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05 Achieving consensus in distributed environments
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06 Practical patterns for handling distributed system challenges
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+ 03 Multi-threaded Design for Performance 6 lectures
01 Fundamentals of parallel execution
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02 Thread coordination mechanisms and patterns
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03 Managing shared resources safely
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04 Identifying and preventing race conditions and deadlocks
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05 Building effective thread pools
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06 Performance tuning strategies for concurrent applications
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+ 04 Service Architecture and Scaling Patterns 5 lectures
01 Designing effective service boundaries and APIs
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02 The stateless vs. stateful service spectrum
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03 Load balancing and distribution techniques
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04 Health monitoring, auto-recovery, and resilience patterns
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05 Geographic distribution strategies for global applications
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+ 05 Data Management at Scale 6 lectures
01 Memory vs. Persistence: Choosing the right approach
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02 In-memory data structures for performance optimization
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03 Distributed caching fundamentals and implementation patterns
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04 Cache invalidation strategies and consistency challenges
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05 Multi-level caching architectures: Browser to backend
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06 Data compression and optimization techniques
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+ 06 Messaging and Communication Patterns 4 lectures
01 Synchronous vs. asynchronous models: When to use each
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02 Message broker architectures and patterns for reliability
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03 Delivery guarantees and handling message failures
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04 Building resilient communication systems at scale
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+ 07 Serverless Computing Models 5 lectures
01 The serverless paradigm: Benefits and constraints
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02 FaaS implementation strategies and best practices
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03 Cold starts and performance considerations
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04 Cost modeling and optimization
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05 Real-world serverless case studies and lessons learned
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+ 08 Building with Microservices 8 lectures
01 Decomposition strategies: From monolith to microservices
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02 Domain-driven design in microservice architecture
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03 Service communication: REST, gRPC, and messaging
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04 Service discovery and registry patterns
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05 Preventing cascading failures with circuit breakers
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06 Resource isolation with bulkheads
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07 API gateway design and implementation
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08 Deployment strategies and orchestration considerations
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+ 09 Data Storage Strategies for Massive Scale 4 lectures
01 NoSQL database architectures and selection criteria
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02 Sharding, partitioning, and data distribution approaches
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03 The CAP theorem: Practical implications for architecture
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04 Building systems for read-heavy vs. write-heavy workloads
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+ 10 Managing Consistency in Distributed Data 6 lectures
01 Understanding consistency models: From strong to eventual
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02 Conflict detection and resolution strategies
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03 Timestamp-based ordering vs. vector clocks
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04 ACID vs. BASE paradigms
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05 Tuning consistency levels for your application needs
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06 Database-specific consistency capabilities
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+ 11 Real-time Data Processing Architectures 7 lectures
01 Event-driven design foundations
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02 Stream processing fundamentals and implementations
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03 Window-based computations: Tumbling, sliding, and session
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04 Backpressure handling in high-volume streams
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05 Exactly-once processing guarantees
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06 Fault tolerance in streaming architectures
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07 Choosing between batch and stream processing paradigms
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+ 12 Operational Excellence for Scalable Systems 5 lectures
01 Building observable systems: Metrics, logs, and traces
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02 Infrastructure as code for scalability and reproducibility
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03 Container orchestration for dynamic scaling
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04 Managing data growth and retention strategies
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05 Capacity planning and proactive scaling
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Description
About this course.
Master the core principles, patterns, and technologies behind building systems that grow with your users—without breaking your app, budget, or team.
✅ Learn the foundations of scalable architecture—costs, tradeoffs, and design decisions that matter
✅ Design powerful, resilient services with microservices, caching, async messaging, and serverless workflows
✅ Build data systems that scale—understand NoSQL, consistency models, and modern data architecture
✅ Explore event-driven and streaming systems that thrive under real-time demands
Whether you're designing your first scalable service or overhauling a legacy stack, this bundle gives you the tools and insights to build systems that don’t flinch under load.
🎁 Comes with lifetime access. Build now. Scale forever.
If you're ready to stop patching performance issues and start building for growth—this is your path forward.
Instructors
Taught by people who ship.
James Dabalus
Instructor
James is a versatile IT Technician specializing in Prompt Engineering, Generative AI, Graphic Design, Web Development, Video Editing, and E-learning. With a passion for automation, he continually seeks innovative ways to streamline digital workflows.
Ready to start building?
What if your system could scale effortlessly—without melting down under pressure? This bundle shows you how.