『Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations』のカバーアート

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

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

著者： Fexingo
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Cloud computing is the backbone of modern business, but the landscape is shifting fast. Lucas and Luna cut through the vendor noise to examine the real-world strategies behind AWS, Azure, and GCP — from multi-cloud architectures to edge computing and container orchestration. Each episode takes a single infrastructure decision, like choosing a database service or designing for disaster recovery, and traces its implications for cost, latency, and developer productivity. Lucas brings deep technical fluency and a journalist's skepticism toward marketing claims; Luna tests each argument against case studies from companies like Netflix, Capital One, and Adobe. They don't just compare prices — they explore trade-offs in lock-in, compliance, and operational complexity. Whether dissecting a Kubernetes outage or the economics of serverless, the conversation is always grounded in concrete specs and real bills. This is the podcast for engineering leaders and cloud architects who want to make informed bets, not follow trends. But what happens when the cloud giants change their pricing mid-contract? That's exactly the kind of tension Lucas and Luna live inside — and the conversation that will reshape how you think about infrastructure. #CloudComputing #AWS #Azure #GCP #MultiCloud #Kubernetes #Serverless #EdgeComputing #DevOps #Infrastructure #CloudArchitecture #DigitalTransformation #Technology #CloudStrategy #FexingoBusiness #BusinessPodcast #TechPodcast #CloudInfrastructure Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • Why Cloud Bursting Is Making a Comeback in 2026

    Why Cloud Bursting Is Making a Comeback in 2026
    2026/06/08
    In this episode, Lucas and Luna explore why cloud bursting—moving workload spikes from on-premises to public cloud—is resurging in 2026. They focus on a specific mid-sized fintech, SwiftPay, which saved $2.3 million annually by bursting only data-intensive reconciliation jobs to Google Cloud during monthly peaks. Lucas explains how cloud providers have quietly lowered egress fees and improved interconnect latency, making bursting viable again after years of disillusionment. Luna challenges whether the latency floor for bursted workloads is still too high for real-time apps, and they discuss the trade-offs between reserved capacity and on-demand scaling. The episode ends with a look ahead: as providers roll out spot-instance guarantees for burst jobs, the economics may tip further. Listeners walk away with one concrete framework: the 'burst trigger threshold'—the point where on-premises utilization hits 70% and cloud cost per unit drops below internal marginal cost. #CloudBursting #HybridCloud #SwiftPay #GoogleCloud #Fintech #DataEgress #SpotInstances #WorkloadMigration #CloudEconomics #Latency #ReservedInstances #OnDemand #CostOptimization #Technology #FexingoBusiness #BusinessPodcast #CloudComputing #Infrastructure Keep every episode free: buymeacoffee.com/fexingo
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    8 分
  • Why Cloud Providers Are Making Multicloud Networking Work in 2026

    Why Cloud Providers Are Making Multicloud Networking Work in 2026
    2026/06/08
    Episode 38 of Cloud Computing with Fexingo explores the surprising shift happening inside AWS, Azure, and Google Cloud: they are finally making it easier to connect workloads across clouds. Lucas and Luna unpack the new cross-cloud networking services rolling out in 2026, including AWS's Direct Connect Inter-Cloud, Azure's Cross-Cloud Connect, and Google's Cross-Cloud Network. They discuss why providers are cooperating after years of locking customers in, how egress fees are being restructured for multi-cloud traffic, and what this means for your architecture choices. Specific numbers include 40 percent lower latency and 30 percent cost reduction on cross-cloud data transfer. The hosts also examine the strategic driver: the rise of AI training pipelines that span multiple clouds. A must-listen for anyone building hybrid or multi-cloud infrastructure. #Multicloud #CloudNetworking #AWS #Azure #GoogleCloud #DirectConnect #CrossCloudConnect #EgressFees #AIInfrastructure #HybridCloud #CloudArchitecture #Latency #DataTransfer #CloudCostOptimization #FexingoBusiness #BusinessPodcast #Technology #CloudComputing Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • Why Cloud-Native Storage Is Your Biggest Latency Surprise

    Why Cloud-Native Storage Is Your Biggest Latency Surprise
    2026/06/07
    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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    11 分
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