Course
Overview
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Course Setup and the Incremental Ladder
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Course Setup and the Incremental Ladder
Why "Threads to Clusters"
How to Use This Course
The Incremental Ladder (Step 0 to Step 7)
The Course Lenses
Mental Models: Threads, Processes, Nodes, Clusters
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Mental Models: Threads, Processes, Nodes, Clusters
Core Definitions
Scaling Models
Failure Domains
Architectures as Layers
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Architectures as Layers
The Layered View
Concern Placement
Why You Don't Skip Rungs
Diagramming and Notation
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Diagramming and Notation
Canonical Symbols and Legends
Notation Styles
Reading and Writing Architecture Diagrams
Step 0 Architecture: Single-Threaded Systems
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Step 0 Architecture: Single-Threaded Systems
Classical Monolith Shape
Event Flow and Blocking I/O
Packaging and Manual Deployment
Step 0 Operations: Local Data, Logging, Configuration
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Step 0 Operations: Local Data, Logging, Configuration
Local Persistence Models
Configuration and Secrets on One Host
Debugging and Local Observability
Step 1 Compute: Threads and Async
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Step 1 Compute: Threads and Async
Concurrency Primitives: Work Queues, Thread Pools, Async Runtimes
Shared Memory Hazards: Locks, Deadlocks, Contention, False Sharing
Canonical Patterns: Producer/Consumer, Reactor/Event Loop, Futures/Promises
Step 1 Operations: Packaging and Running Concurrent Apps
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Step 1 Operations: Packaging and Running Concurrent Apps
CPU-bound vs I/O-bound: Choosing Concurrency Strategies
Runtime Tuning: Thread Counts, Pools, and Saturation Behavior
Profiling and Debugging Concurrency: Practical Diagnosis and Anti-Pattern Recognition
Step 2 Architecture: Multi-Process Systems
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Step 2 Architecture: Multi-Process Systems
Process Decomposition: Web Server, Worker, Scheduler as Separate Processes
IPC Patterns: Pipes, Unix Sockets, Shared Memory, Localhost TCP
Supervision and Lifecycle: Init Systems and Supervisors (Systemd-like Patterns)
Step 2 Operations: Distribution, Security, Observability on One Host
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Step 2 Operations: Distribution, Security, Observability on One Host
Packaging Process Topologies: Bundles, Installers, and Dependency Alignment
Local Perimeter Thinking: Loopback Security and Host Firewall Basics
Structured Logs and Host Metrics: Preparing for the Container Leap
Containers as the New Process
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Containers as the New Process
Isolation Mechanics: Namespaces, cgroups, Container Boundaries
Designing Container Cuts: Mapping Multi-Process Apps to Containers
Sidecar vs Single-Container: Trade-offs and Operational Consequences
Image Build, Packaging, Distribution
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Image Build, Packaging, Distribution
Dockerfile/OCI Design: Layers, Base Images, Multi-Stage Builds
Registries and Tagging: Immutability, Promotion, Provenance (SBOM as Baseline)
Reproducibility: Dev-to-Prod Workflows and Artifact Discipline
Single-Host Container Networking and Security
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Single-Host Container Networking and Security
Bridge vs Host Networking: Port Mapping and Local Routing
Local Naming/DNS: Service Naming on One Host
Least Privilege Containers: Users, Filesystem Permissions, Minimal Images
Operating Containerized Single-Host Systems
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Operating Containerized Single-Host Systems
Multi-Container Topologies: Compose-like Orchestration Patterns
Health, Restarts, Failover: Liveness, Readiness, Restart Policies
Container Observability: Logs, Metrics, Tracing Basics Inside Containers
Cluster Primitives
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Cluster Primitives
Workload Building Blocks: Pods/Tasks, Deployments, Jobs, DaemonSets
Control Plane and Scheduling: Placement, Resourcing, Node Pools
Requests/Limits and Bin Packing: Performance, Stability, Noisy Neighbors
Cluster Networking and Service Discovery
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Cluster Networking and Service Discovery
East-West Traffic: Pod Networks and Service Abstractions
Cluster DNS and Naming: Conventions and Failure Behavior
L4 vs L7 Inside the Cluster: Load Balancing and Routing Decisions
Ingress, Edge, External Access
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Ingress, Edge, External Access
Ingress Controllers and Gateways: Edge Patterns and Responsibilities
TLS Termination and mTLS: Secure Traffic Inside and Outside the Cluster
Public vs Private Ingress: Allowlists, WAF Integration, Exposure Control
Packaging for Clusters
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Packaging for Clusters
Manifests and Charts: Helm/Kustomize Mental Models
Versioning and Release Mechanics: Promotion and Rollback Strategy
Config and Secrets at Scale: Operational Models and Drift Control
Data, State, Storage in a Single Cluster
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Data, State, Storage in a Single Cluster
Stateful Workloads: PVCs, Storage Classes, Stateful Sets
DB Inside vs Outside: Trade-offs and Operational Posture
Cache Placement: Cluster-Local vs External Tiers
Observability and Reliability in a Single Cluster
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Observability and Reliability in a Single Cluster
Central Telemetry: Logging, Metrics, Tracing Stacks and Patterns
Probes and Autoscaling: Readiness/Liveness, HPA Patterns, Disruption Budgets
Incident Operations: Canary, Blue/Green, and Recovery Workflows
Why Multi-Cluster
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Why Multi-Cluster
Isolation Models: Per-Tenant, Per-Team, Per-Env Motivations
Trade-offs vs One Mega-Cluster: Complexity, Cost, Failure Isolation
When Multi-Cluster Is Justified: Thresholds and Triggers
Topologies: Cell-Based and Hub-and-Spoke
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Topologies: Cell-Based and Hub-and-Spoke
Cells/Shards vs Shared Control: Design Choices and Consequences
Ingress Models: Per-Cluster Ingress vs Shared Ingress Layers
Regional Segmentation: Network Segmentation Patterns in One Region
Cross-Cluster Networking and Discovery
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Cross-Cluster Networking and Discovery
Private Networking: VPC/VNet Peering and Private Links
Federation and Mesh: DNS, Mesh Federation, and Discovery Patterns
Routing Strategies: Failover, Shadowing, Regional Load Balancing
Data and Caching Across Clusters
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Data and Caching Across Clusters
Shared vs Per-Cluster Datastores: Governance and Blast Radius
Cache Tiers: Cluster-Local vs Shared Cache Backbones
Event Buses: Messaging as the Cross-Cluster Integration Plane
CI/CD, Packaging, Governance
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CI/CD, Packaging, Governance
Artifact Promotion: Images and Configuration Across Clusters
GitOps and Pipelines: Multi-Cluster Deployment Mechanics
Policy as Code: Admission Control, Scanning, and Compliance
Regions and Failure Domains
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Regions and Failure Domains
Regions/AZs as Boundaries: What Can Fail Together
Active-Active vs Active-Passive: Availability Models
RTO/RPO: Defining Recovery Objectives and Constraints
Global Traffic Management and DNS
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Global Traffic Management and DNS
Global DNS Policies: Latency, Geo, and Failover Strategies
Anycast and CDN Edges: Routing Implications and Trade-offs
Health-Based Failover: Combining DNS and L7 Routing
Data Replication and Consistency
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Data Replication and Consistency
Strong vs Eventual: What You Can Promise Globally
Topologies: Leader-Follower, Multi-Leader, Conflict Resolution
Replication Failure Modes: Lag, Split-Brain, Reconciliation
Caching and Performance at Global Scale
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Caching and Performance at Global Scale
Edge vs Regional Caches: Placement and Coherence
Invalidation Strategies: TTLs, Hints, Stampede Mitigation
Read-Mostly vs Write-Heavy: Performance Posture and Constraints
Security, Identity, Compliance Across Regions
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Security, Identity, Compliance Across Regions
Data Residency: Region-Specific Compliance Impacts
Federated Identity: Region-Aware AuthZ and Policy
Key Management: KMS/HSM Patterns and Secure Distribution
Operating Multi-Region Systems
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Operating Multi-Region Systems
Failover Playbooks: Drains, Failback, Cutovers
Game Days and DR Rehearsals: Operational Validation
Global Observability: SLOs per Region, Aggregation, Incident Coordination
Why Multi-Cloud
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Why Multi-Cloud
Real Motivations vs Myths: Risk, Locality, Negotiation, Capability Gaps
When Multi-Region Is Enough: Avoiding Unnecessary Complexity
Anti-Goals: What Multi-Cloud Should Not Be Used to Solve
Abstraction Layers and Control Planes
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Abstraction Layers and Control Planes
Cloud-Agnostic vs Cloud-Native: The Portability Trade Space
Common Control Planes: Orchestration and Policy Patterns
Contracts and APIs: Minimizing Lock-In Through Explicit Interfaces
Networking Across Clouds
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Networking Across Clouds
Connectivity Options: VPN, Direct Connect, Overlays
Routing and DNS: Naming and Traffic Management Across Providers
Cost and Latency: Egress, Bottlenecks, and Optimization Posture
Identity, Access, Policy Federation
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Identity, Access, Policy Federation
Cross-Cloud SSO: Federated Identity Fundamentals
Consistent Authorization: RBAC/ABAC Across Providers
Policy as Code at Multi-Cloud Scope: Enforcement and Auditing
Data Portability and Gravity
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Data Portability and Gravity
Data Gravity: why data dominates architecture decisions
Replication and DR: cross-cloud backup and recovery models
Portability Boundaries: what must be portable vs what can be per-cloud
Packaging and Distribution for Multi-Cloud
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Packaging and Distribution for Multi-Cloud
Portable Artifacts: images, manifests, infra-as-code discipline
Multi-Cloud Pipelines: promotion and verification
Extensions: provider-specific vs provider-neutral patterns
Compute and Concurrency Patterns
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Compute and Concurrency Patterns
Thread Pools, Work Queues, and Saturation Boundaries
Async I/O, Event Loops, and Backpressure
Actors, Green Threads, and Isolation-by-Mailbox
Request/Response vs Event-Driven vs Batch: Choosing the Work Model
Scaling Patterns Across the Ladder: When "More Instances" Fails
Integration, Messaging, Event-Driven Architectures
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Integration, Messaging, Event-Driven Architectures
Integration Boundaries: App Layer vs Data Layer vs Infra Layer
Queues, Topics, Streams: Semantics and Operational Trade-offs
Change Data Capture and the Event Backbone
The Outbox Pattern: Making Side Effects Durable
Sagas and Distributed Workflows: Coordinating Without a Global Transaction
Caching and Performance Patterns
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Caching and Performance Patterns
Cache-Aside, Read-Through, Write-Through, Write-Behind: What You Promise
Hot Keys, Hot Partitions, and Load Skew
Cache Stampede and Thundering Herd: Prevention and Mitigation
Local -> Cluster -> Global: How Cache Boundaries Evolve Up the Ladder
Consistency Hints: TTLs, Invalidation, and "Good Enough" Correctness
Load Balancing and Traffic Shaping Patterns
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Load Balancing and Traffic Shaping Patterns
L4 vs L7 Load Balancing: Connection vs Request Semantics
Blue/Green and Canary: Release Safety as a Boundary Design
Shadow Traffic and A/B Testing: Measurement Without Breaking Users
Rate Limiting and Quotas: Protecting Shared Systems
Backpressure, Circuit Breakers, and Overload Control
Security Architecture and Zero Trust
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Security Architecture and Zero Trust
Authentication vs Authorization: What Each Boundary Enforces
RBAC, ABAC, and Policy Evaluation: Consistency Across Steps
Perimeter to Microsegmentation: Network Segmentation Patterns
Secrets Distribution and Rotation: Secure Bootstrapping Over Time
Service Mesh and Zero Trust: When It Helps, When It Hurts
Observability, SLOs, Operational Maturity
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Observability, SLOs, Operational Maturity
Metrics, Logs, Traces: Signals and Failure Boundaries
SLIs and SLOs: Turning "Reliability" Into a Contract
Error Budgets and Release Policy: Governing Change with Data
Alerting and On-Call Design: Avoiding Paging as a Monitoring Strategy
Operational Maturity by Step: Readiness Criteria Across the Ladder
Diagram Templates by Step
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Diagram Templates by Step
Diagram Templates by Step
Technology Mapping Guide
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Technology Mapping Guide
Technology Mapping Guide
Readiness Assessments: Moving from Step N to Step N+1
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Readiness Assessments: Moving from Step N to Step N+1
Readiness Assessments: Moving from Step N to Step N+1
Glossary: Canonical Definitions (and the Boundaries They Imply)
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Glossary: Canonical Definitions (and the Boundaries They Imply)
Glossary: Canonical Definitions (and the Boundaries They Imply)
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CPU-bound vs I/O-bound: Choosing Concurrency Strategies
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