16-Part Main Series
All Articles in This Series
The complete distributed systems and Kubernetes pipeline — from theoretical foundations through production-grade platform engineering.
Part 1
Distributed Systems Foundations
What distributed systems are, core challenges of network failures, partial failures, latency, and the fundamental principles of coordination.
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Part 2
Consensus Algorithms
How machines agree on shared state — Raft consensus, leader election, log replication, quorum, and split-brain problems.
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Part 3
CAP Theorem & Replication
The CAP theorem trade-offs, synchronous vs asynchronous replication, eventual consistency, and conflict resolution strategies.
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Part 4
Service Discovery & Communication
How ephemeral services find each other — DNS-based and registry-based discovery, RPC, gRPC, message queues, and resilience patterns.
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Part 5
Failure & Resilience
Node failures, network partitions, cascading failures — and the patterns for self-healing, redundancy, and graceful degradation.
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Part 6
Kubernetes Architecture
Kubernetes as a declarative reconciliation system — control plane components, worker nodes, and the desired-state mental model.
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Part 7
Kubernetes Object Model
Core objects — Pods, ReplicaSets, Deployments, Services, ConfigMaps, Secrets — and declarative YAML manifests.
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Part 8
Kubernetes Networking
The flat networking model, CNI plugins (Calico, Cilium, Flannel), pod-to-pod communication, and network fundamentals.
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Part 9
Services, Ingress & Service Mesh
ClusterIP, NodePort, LoadBalancer services, Ingress controllers, TLS termination, Istio, Linkerd, and traffic shaping.
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Part 10
Kubernetes Storage
Persistent state in distributed systems — PVs, PVCs, StorageClasses, StatefulSets, and the Container Storage Interface.
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Part 11
Kubernetes Internals
API machinery, reconciliation loops, scheduler internals (filtering, scoring, binding), and etcd deep dive.
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Part 12
CRDs & Operators
Kubernetes as a programmable platform — Custom Resource Definitions, application-specific controllers, and the Operator pattern.
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Part 13
Cluster Operations & Reliability
Cluster lifecycle, HPA/VPA, multi-master HA, multi-cluster management, backup and disaster recovery.
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Part 14
Kubernetes Security
Threat model, RBAC, pod security contexts, network policies, admission controllers (OPA, Kyverno), and secrets management.
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Part 15
Observability & Troubleshooting
Monitoring with Prometheus/Grafana, structured logging, distributed tracing, and diagnosing common Kubernetes failures.
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Part 16
Cloud Native Ecosystem
Helm charts, GitOps with ArgoCD/Flux, platform engineering, serverless on Kubernetes (Knative), and the CNCF landscape.
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