If everything is logged, nothing is useful. Carl and Brandon walk through what logging is really for in cloud architectures, how to use log levels and structured formats without drowning in noise or cost, and the correlation, retention, and platform habits that turn logs from a line item into a debugging superpower.
AI-assisted development can outpace your sprint cadence, so Carl and Brandon rethink which processes still earn their keep and which ones just get in the way.
Capacity and quota aren’t the same. We break down the difference, why it matters when you scale or fail over, and practical ways to plan and mitigate when capacity runs tight across Azure, AWS, and Google Cloud.
Cloud networking still breaks teams in familiar ways: parity assumptions, IP and DNS drift, SNAT exhaustion, and hidden egress paths that hurt both reliability and cost. Carl and Brandon map the practical pitfalls and the architecture habits that keep multi-cloud designs predictable.