Lesson 01
Production Cloud-Native Backend Systems Explained
Trace source, image, runtime, workload, traffic, and business evidence without collapsing their boundaries.
Cloud-Native Backend topic cluster
A production learning path for OCI artifacts, Kubernetes application boundaries, capacity, safe rollout, observability, and verified backend recovery.
12 reading lessons ยท 1 capstone guide
Move through workload ownership, configuration, lifecycle, capacity, availability, rollout, observability, and incident evidence.
Lesson 01
Trace source, image, runtime, workload, traffic, and business evidence without collapsing their boundaries.
Lesson 02
Separate OCI image, distribution, runtime, CRI, registry, and Kubernetes responsibilities.
Lesson 03
Build minimal non-root artifacts and bind provenance, SBOM, scan, and signature evidence to a digest.
Lesson 04
Connect controller reconciliation, Pod lifecycle, Service selection, EndpointSlices, and request routing.
Lesson 05
Operate configuration, credential rotation, Spring precedence, and workload identity without disclosure.
Lesson 06
Assign startup, restart, traffic eligibility, termination, and durable outcome responsibilities correctly.
Lesson 07
Budget scheduling, throttling, process memory, pools, and downstream capacity together.
Lesson 08
Distribute failure domains and interpret disruption policy without treating replicas as availability proof.
Lesson 09
Scale from owned signals while protecting startup lag and finite dependency capacity.
Lesson 10
Coordinate immutable images, surge, readiness, termination, rollback, and compatible database change.
Lesson 11
Trace user impact through controllers, Pods, containers, telemetry, dependencies, and durable state.
Lesson 12
Narrow common workload symptoms from user impact to reversible mitigation and verified recovery.
Capstone lab
Run six deterministic rollout scenarios without contacting a cluster or claiming production capacity.