How SRE Teams Use Cost Optimization to Balance Performance and Budget episode artwork

EPISODE · Jun 5, 2026 · 6 MIN

How SRE Teams Use Cost Optimization to Balance Performance and Budget

from The Site Reliability Podcast with Fexingo: SRE, Uptime, and Production Engineering · host Fexingo

In this episode of The Site Reliability Podcast with Fexingo, Lucas and Luna dive into the often-overlooked intersection of site reliability engineering and cloud cost optimization. They explore how SRE teams at companies like Uber and Airbnb use techniques such as right-sizing instances, leveraging spot instances, and implementing autoscaling policies to reduce infrastructure spend without sacrificing reliability. Specific metrics like cost per transaction and cost per request are discussed as key indicators. The hosts also examine the trade-offs between reserved and on-demand instances, the role of FinOps in SRE, and how to set cost-aware SLOs. A concrete example from a mid-sized SaaS company shows how they saved 35% on AWS costs by shifting to a well-architected framework. This episode offers practical strategies for SREs and platform engineers looking to optimize both uptime and cloud bills. #SiteReliabilityEngineering #CloudCostOptimization #FinOps #SRE #CostOptimization #Uber #Airbnb #AWS #Autoscaling #SpotInstances #ReservedInstances #SLOs #Technology #Podcast #FexingoBusiness #BusinessPodcast #CloudComputing #Infrastructure Keep every episode free: buymeacoffee.com/fexingo

In this episode of The Site Reliability Podcast with Fexingo, Lucas and Luna dive into the often-overlooked intersection of site reliability engineering and cloud cost optimization. They explore how SRE teams at companies like Uber and Airbnb use techniques such as right-sizing instances, leveraging spot instances, and implementing autoscaling policies to reduce infrastructure spend without sacrificing reliability. Specific metrics like cost per transaction and cost per request are discussed as key indicators. The hosts also examine the trade-offs between reserved and on-demand instances, the role of FinOps in SRE, and how to set cost-aware SLOs. A concrete example from a mid-sized SaaS company shows how they saved 35% on AWS costs by shifting to a well-architected framework. This episode offers practical strategies for SREs and platform engineers looking to optimize both uptime and cloud bills. #SiteReliabilityEngineering #CloudCostOptimization #FinOps #SRE #CostOptimization #Uber #Airbnb #AWS #Autoscaling #SpotInstances #ReservedInstances #SLOs #Technology #Podcast #FexingoBusiness #BusinessPodcast #CloudComputing #Infrastructure Keep every episode free: buymeacoffee.com/fexingo

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How SRE Teams Use Cost Optimization to Balance Performance and Budget

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How long is this episode of The Site Reliability Podcast with Fexingo: SRE, Uptime, and Production Engineering?

This episode is 6 minutes long.

When was this The Site Reliability Podcast with Fexingo: SRE, Uptime, and Production Engineering episode published?

This episode was published on June 5, 2026.

What is this episode about?

In this episode of The Site Reliability Podcast with Fexingo, Lucas and Luna dive into the often-overlooked intersection of site reliability engineering and cloud cost optimization. They explore how SRE teams at companies like Uber and Airbnb use...

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