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EPISODE · Jun 7, 2026 · 11 MIN

Why Cloud-Native Storage Is Your Biggest Latency Surprise

from Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations · host Fexingo

Episode 37 of Cloud Computing with Fexingo: Lucas and Luna dig into a problem that's catching engineering teams off guard in 2026 — cloud-native storage performance. They break down the difference between local SSD, network-attached block storage, and object storage in AWS, Azure, and GCP, using real numbers: the 1–5 millisecond baseline for EBS gp3 versus the 200–600 millisecond p99 of S3 GET requests. Lucas explains why Kubernetes stateful workloads often hit unexpected latency because CSI drivers add overhead, and Luna shares a case from a media processing startup that saw transcoding jobs double in duration after moving to cloud-native storage without re-architecting. They explore how NVMeoF, local SSDs, and new tiered cache layers are changing the game, and why your cloud bill might hide performance regressions. No generic advice — just specific trade-offs for containers, databases, and high-throughput pipelines. #CloudComputing #CloudNative #Storage #Latency #AWS #Azure #GCP #Kubernetes #NVMeoF #EBS #S3 #PerformanceEngineering #StatefulWorkloads #Technology #CloudArchitecture #FexingoBusiness #BusinessPodcast #DataStorage Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Jun 7, 2026

What this episode covers

Episode 37 of Cloud Computing with Fexingo: Lucas and Luna dig into a problem that's catching engineering teams off guard in 2026 — cloud-native storage performance. They break down the difference between local SSD, network-attached block storage, and object storage in AWS, Azure, and GCP, using real numbers: the 1–5 millisecond baseline for EBS gp3 versus the 200–600 millisecond p99 of S3 GET requests. Lucas explains why Kubernetes stateful workloads often hit unexpected latency because CSI drivers add overhead, and Luna shares a case from a media processing startup that saw transcoding jobs double in duration after moving to cloud-native storage without re-architecting. They explore how NVMeoF, local SSDs, and new tiered cache layers are changing the game, and why your cloud bill might hide performance regressions. No generic advice — just specific trade-offs for containers, databases, and high-throughput pipelines. #CloudComputing #CloudNative #Storage #Latency #AWS #Azure #GCP #Kubernetes #NVMeoF #EBS #S3 #PerformanceEngineering #StatefulWorkloads #Technology #CloudArchitecture #FexingoBusiness #BusinessPodcast #DataStorage Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations?

This episode is 11 minutes long.

When was this Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations episode published?

This episode was published on June 7, 2026.

What is this episode about?

Episode 37 of Cloud Computing with Fexingo: Lucas and Luna dig into a problem that's catching engineering teams off guard in 2026 — cloud-native storage performance. They break down the difference between local SSD, network-attached block storage,...

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