One Problem at a Time
One problem at a time.
Four short episodes about resource requests, evidence quality, workload coverage, and human control.
Episode 1 · 1:15
Are your Kubernetes workloads requesting more resources than they need?
Why requests and usage differ, and why a low average alone cannot justify a reduction.
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Episode 2 · 1:13
What happens when your monitoring data isn't good enough?
How gaps and short observation windows can prevent a supported recommendation.
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Episode 3 · 1:14
Do you know which AKS workloads are consuming your capacity?
Read workload inventory and organization-wide coverage without confusing selection with optimization.
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Episode 4 · 1:07
Why shouldn't optimization tools change production automatically?
Acceptance records intent; your team reviews, merges, and deploys through its own change process.
Watch episode & read transcriptExamples with their context.
These episodes combine labelled illustrations with recorded test-environment screens. They explain concepts and recorded behavior; they are not customer results, current plan offers, or a production setup tutorial. Each episode has captions, a transcript, and notes identifying its examples.
Full connection, trial, Git execution, and diagnostic walkthroughs remain separate work.