🚀DevOps & Cloud Infrastructure
Reliability is the non-negotiable feature of software systems. This volume examines layer 4/7 traffic routing, backpressure cascades, and zero-downtime rolling deploys.
Foundational Invariants & Core Principles:
Stage 1: Load Balancing
Sequential learning progression covering core mechanics of load balancing.
Load Balancing & Consistent Hashing
Load balancers distribute traffic across multiple backend nodes to ensure high availability and fault tolerance.
API Gateway & Layer 7 Protocols: REST, RPC, WebSockets
API Gateway & Layer 7 Protocols: REST, RPC, WebSockets provides core foundational patterns in DevOps & Platform Engineering. Centralize entry routing, protocol translation (gRPC to REST), authentication, and client aggregation at the edge.
DNS & Traffic Routing
DNS & Traffic Routing is a foundational topic in Networking & Protocols. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
HTTP Semantics & Caching
HTTP Semantics & Caching is a foundational topic in Networking & Protocols. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
HTTP/2 Connection Multiplexing
HTTP/2 Connection Multiplexing is a foundational topic in Networking & Protocols. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Stage 2: Container Orchestration
Sequential learning progression covering core mechanics of container orchestration.
Docker Images & Layers
Docker Images & Layers is a foundational topic in DevOps & Infrastructure. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Kubernetes Workloads & Services
Kubernetes Workloads & Services is a foundational topic in DevOps & Infrastructure. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Helm Chart Releases
Helm Chart Releases is a foundational topic in DevOps & Infrastructure. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Terraform Modules & State
Terraform Modules & State is a foundational topic in DevOps & Infrastructure. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Argo CD GitOps
Argo CD GitOps is a foundational topic in DevOps & Infrastructure. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Stage 3: Distributed Tracing
Sequential learning progression covering core mechanics of distributed tracing.
Immutable Infrastructure
Immutable Infrastructure is a foundational topic in DevOps & Infrastructure. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Blue-Green & Canary Deployment Automation Pipelines
Canary deployment incrementally shifts live user traffic (e.g. 1% -> 10% -> 100%) to a new application release version while automated metrics monitor HTTP error rates and latency for automatic rollback.
Blue-Green Deployment
Blue-Green Deployment is a foundational topic in System Architecture & Design. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Rolling Deployment Strategy
Rolling Deployment Strategy is a foundational topic in System Architecture & Design. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
CI/CD Quality Gates
CI/CD Quality Gates is a foundational topic in DevOps & Infrastructure. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Stage 4: Zero-Downtime Releases
Sequential learning progression covering core mechanics of zero-downtime releases.
Observability Golden Signals
Observability Golden Signals is a foundational topic in System Architecture & Design. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Structured Logging & Correlation IDs
Structured Logging & Correlation IDs is a foundational topic in System Architecture & Design. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Metrics Cardinality Control
Metrics Cardinality Control is a foundational topic in System Architecture & Design. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
SLOs, SLAs & Error Budgets
SLOs, SLAs & Error Budgets is a foundational topic in System Architecture & Design. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Service Mesh Fundamentals
Service Mesh Fundamentals is a foundational topic in Distributed Systems & Storage. Engineers use it to make predictable trade-offs under load, failure, and evolving requirements.
Stage 5: Chaos Engineering
Sequential learning progression covering core mechanics of chaos engineering.
Explore Other Domain Curriculums
Distributed Systems
High-availability replication, event loops, quorum consensus, and horizontal database sharding.
Software Architecture
Decoupled event streaming, microservice resilience, CQRS, and domain-driven design.
Design Patterns
GoF structural/behavioral patterns, circuit breakers, sagas, and transactional outbox patterns.
Software Engineering
Clean code craft, automated testing pyramids, CI/CD pipelines, refactoring, and technical debt.