World Congress 2025 • Aug 20, 2025 • Session details

Mastering AWS Cost Optimization: Real-world technical and operational cost-saving best practices

Joachim Aumann , Olga Calvo

What happens to your budget when autonomous AI agents start deploying AWS resources? Learn to treat cost as a strict non-functional requirement and automate guardrails to prevent runaway spending.

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#1 about 3 min

Applying the Frugal Architect mental model

Treating cost optimization as an integral part of system deployment prevents unpredictable cloud bills.

#2 about 2 min

Building automated mechanisms for cost control

Implementing system safeguards protects business environments from human error and autonomous AI overspending.

#3 about 2 min

Integrating continuous design and measurement cycles

Observing telemetry data and evaluating system performance enables ongoing cost optimization and architectural redesign.

#4 about 3 min

Making cost a strict non-functional requirement

Evaluating potential billing impacts during the initial whiteboarding phase aligns cloud architecture with business realities.

#5 about 3 min

Aligning application infrastructure with user traffic

Designing scalable environments ensures minimum viable costs during low traffic and predictable scaling during growth.

#6 about 3 min

Evaluating architectural trade-offs for analytics dashboards

Adjusting availability and latency requirements dramatically reduces the underlying infrastructure expenses for internal tools.

#7 about 2 min

Tracking cloud consumption against business revenue

Linking infrastructure spend to specific customer behaviors provides transparent insights into profitable application features.

#8 about 2 min

Implementing proactive cloud resource cost alerts

Configuring automated notifications based on spending anomalies prevents end-of-month cloud billing surprises.

#9 about 2 min

Defining a continuous cost optimization culture

Establishing a dedicated FinOps practice encourages teams to iteratively uncover cloud efficiency improvements.

#10 about 2 min

Challenging and redesigning existing production architectures

Regularly questioning functional systems allows engineering to adopt updated technologies and smaller compute footprints.

#11 about 3 min

Future-proofing generative AI agents with cost awareness

Programming autonomous AI systems with financial constraints ensures automated deployments remain within viable business budgets.

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