Guided Series
In-depth series on the engineering domains that matter most. Curated multi-part deep dives, each building from first principles to production-ready patterns. Use the legend to explore by domain, or browse everything below.
GitOps in Practice 6
Multi-cluster ArgoCD architecture, repo structure, ApplicationSets, and the operational patterns that make GitOps work at scale.
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RAG and AI Engineering 8
From retrieval fundamentals to agentic loops — building AI search systems that work in production.
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Distributed Systems 6
CAP trade-offs, partial failure, dual writes, and data reconciliation at scale.
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Cloud Architecture 5
Migration patterns, region-level resilience, modernisation, cost engineering, and security architecture for production cloud systems.
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Cloud Defaults Reconsidered 5
Examining widely-recommended cloud defaults that frequently get applied as blanket mandates without evaluating whether the cost is proportional to the actual benefit.
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DevOps & Platform Engineering 6
From custom images and CI runners to full dev environment assembly — the infrastructure that accelerates delivery.
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4
Fresh VM to Dev Infra: The Complete Setup GuideNew Mar 04, 2026
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AWS Network Architecture 6
VPC fundamentals, subnet design, routing, connectivity patterns, and the networking decisions that underpin production AWS architectures.
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AWS Migration Playbook 5
Real-world AWS migration mechanics — MGN replication internals, kernel driver failures, cutover sequencing, and the operational patterns that separate a clean migration from an incident.
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Agentic Infrastructure 4
The deployment, scaling, and operational patterns that MCP-based agents need on Kubernetes — liveness probes, autoscaling signals, session isolation, workload identity, and the infrastructure decisions that determine whether an agent has a fair chance to behave correctly in production.
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4
Multi-Tenant MCP: Isolation Patterns That Hold UpNew Oct 23, 2026
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Deploying MCP Servers on KubernetesNew Oct 09, 2026
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The MCP Stateless RevolutionNew Sep 24, 2026
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Why Agent Infrastructure Is Its Own DisciplineNew Sep 10, 2026
Event-Driven Systems 1
Choosing and operating message brokers on AWS and Azure: queues, topics and logs, ordering and partitioning, schema evolution, consumer lag and backpressure, and safe replay. The operational layer beneath patterns like sagas and idempotency.
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Queue vs Topic vs Log: Picking the BrokerNew Oct 27, 2026