Cloud & Infrastructure Topics
Cloud platform services, infrastructure architecture, Infrastructure as Code, environment provisioning, and infrastructure operations. Covers cloud service selection, infrastructure provisioning patterns, container orchestration (Kubernetes), multi-cloud and hybrid architectures, infrastructure cost optimization, and cloud platform operations. For CI/CD pipeline and deployment automation, see DevOps & Release Engineering. For cloud security implementation, see Security Engineering & Operations. For data infrastructure design, see Data Engineering & Analytics Infrastructure.
Google Cloud Platform Services and Architecture
Google Cloud Platform's core services and architecture: Compute Engine, Cloud Run, GKE, Cloud Storage, VPC, and BigQuery-adjacent managed services. Covers GCP service selection, networking and IAM specifics, and reference patterns for building on the platform. For provider-agnostic compute, storage, or networking concepts, see the cross-cloud entries.
Infrastructure Scaling, Capacity Planning, and High Availability
Making infrastructure grow and stay up: horizontal and vertical scaling, autoscaling, load balancing, capacity planning and forecasting, and high-availability and redundancy design. Covers sizing systems for demand, distributing load, and eliminating single points of failure so services remain available as they scale. The reliability-and-growth discipline.
Cloud Service and Deployment Models
The foundational service models (IaaS, PaaS, SaaS, FaaS) and deployment models (public, private, hybrid, community cloud) and when each is appropriate. Covers the shared-responsibility boundary, on-demand elasticity, the core value proposition of cloud versus on-premises, and how service-model choice shifts operational ownership. The conceptual entry point before any provider-specific or architectural depth.
AWS Core Services and Architecture
Amazon Web Services' core service catalog and how the pieces compose into a working system: EC2, Lambda, S3, VPC, IAM, RDS, and the managed-service ecosystem. Covers service selection within AWS, common reference architectures, the AWS Well-Architected Framework pillars, and operational patterns specific to the platform. For provider-agnostic compute or storage trade-offs, see the cross-cloud entries.
Cloud Compute Options and Trade-offs
Choosing among compute abstractions independent of provider: virtual machines, containers, managed container services, serverless functions, and bare metal. Covers the cost, control, cold-start, scaling, and operational trade-offs of each model, and how workload characteristics (latency, statefulness, burstiness) drive the decision. Managed-versus-self-managed reasoning lives here.
Infrastructure Strategy and Technology Selection
Setting technical direction for infrastructure and deciding what to build on. Covers infrastructure vision and long-term roadmap, modernization and technical-debt strategy, platform decisions, and organizational and governance considerations, alongside the decision framework for adopting or retiring technology: build-versus-buy-versus-cloud-versus-on-premises trade-offs, vendor and platform evaluation, technology-portfolio rationalization, requirements-driven service selection, and weighing total cost of ownership and risk. The leadership-altitude discipline of directing an infrastructure estate over time and justifying its major technology choices to stakeholders.
Cloud Architecture Design Principles and Trade-offs
The reasoning patterns for architecting cloud systems: reliability, scalability, security, performance, and cost as competing pillars, plus resilience patterns, well-architected design reviews, and scenario-based decision making. Covers how to justify architectural choices, evaluate trade-offs under real constraints, and design for failure. Provider-agnostic design thinking rather than a specific service catalog.
Cloud Cost Optimization and FinOps
Controlling and optimizing cloud spend: cost modeling and forecasting, rightsizing, reserved capacity and savings plans, autoscaling for cost, tagging and chargeback, and the FinOps operating model. Covers building the business justification for infrastructure spend and continuously driving efficiency at scale without sacrificing reliability. Cost as a first-class architectural concern.
Multi-Cloud and Hybrid Cloud Architecture
Designing systems that span multiple cloud providers or bridge cloud and on-premises. Covers cloud-agnostic abstraction, workload placement, cross-cloud networking and identity, data gravity, resilience across regions and providers, and the operational cost of avoiding lock-in versus the risk of accepting it. Includes multi-region resilience patterns.