
The release architecture guide
Production Delivery Design
Design the release, including the way back.
36 pages · 8 cases · 8 diagrams
Volume 01 / The diagnosis workbook
Find the fault. Explain the recovery.
A rollout is healthy, but the service is down. Start with the evidence available to the on-call engineer, choose your next check and defend the recovery. Eight cases take you through Kubernetes, DNS, resource limits and failures that cross service boundaries.
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September 2026 · Personal study editionA complete case / Free to read
Read the opening incident from its first signals through the investigation and follow-up exercise. These are three consecutive pages from the workbook.
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Who should pick up this volume
Engineers who already operate Linux or cloud services and want to improve incident diagnosis and technical communication.
What you will work through
The full reading route
Brief → worked reasoning → changed conditions.
Follow the cases in order or revisit a weak topic.
Trace traffic from the Service to the selected Pods.
Separate a lookup failure from a connectivity failure.
Investigate CPU limits without trusting host averages.
Follow blocked work beyond the application pool.
Choose a recovery that reduces retry pressure.
Find the storage still held by an open file.
Recalculate impact for the population that matters.
Establish write authority before moving traffic.
From the page to your next attempt
Use local request fixtures and Python calculations to check weighted error rates, retry amplification and recovery time. Decision worksheets give you a place to record the evidence behind your answer.
Python 3.10+ · Synthetic local fixtures · No cloud provisioning
Write your decision and the observation that would change it.
Use the worked case and local fixtures to find gaps in your explanation.
Change the assumption, revise the answer and record what still needs practice.
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Reviewed 2026-09-24. These are fictional teaching cases with primary technical references, not reproduced employer assignments or an employer scoring rubric. AI tools assisted preparation and cover illustration. Local exercises test the stated models and calculations; they do not validate a production deployment.
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