The Cloud Business Podcast with Fexingo: AWS, Azure, GCP, and Enterprise Infrastructure

In this episode, Lucas and Luna explore the uncomfortable reality of cloud outages in a multi-cloud era. Using the February 2026 AWS Sydney region outage as a case study, they explain why enterprises that spread workloads across AWS, Azure, and GCP still suffered cascading failures. Lucas breaks down how dependencies on shared services like DNS and identity federation create hidden single points of failure. Luna shares data from a recent survey showing 78 percent of enterprises experienced a multi-cloud-related outage in the past 18 months. They discuss practical mitigations, including chaos engineering, blast radius limits, and the resurgence of active-active architectures. A must-listen for anyone running infrastructure across multiple clouds.

#CloudOutages #MultiCloud #AWS #Azure #GCP #ResilienceEngineering #Infrastructure #ChaosEngineering #DNSFailure #IdentityFederation #ActiveActive #EnterpriseIT #Technology #BusinessPodcast #FexingoBusiness #TheCloudBusinessPodcast #LucasAndLuna #May2026

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Episode 9 of The Cloud Business Podcast digs into cloud egress fees—the charges for moving data out of AWS, Azure, and Google Cloud. Lucas and Luna explore how a seemingly small cost line item can balloon into hundreds of thousands of dollars for enterprises running multi-cloud or hybrid architectures. They examine the specific case of a mid-size SaaS company that saw its monthly cloud bill spike by 40 percent after shifting to a multi-cloud strategy, largely due to egress. The hosts discuss the economics behind these fees, the regulatory scrutiny they've attracted in Europe, and practical workarounds like using Cloudflare's Bandwidth Alliance or AWS's Direct Connect. They also touch on Google Cloud's recent move to eliminate egress fees for customers leaving its platform, a shift that pressures competitors. By the end, listeners will understand why egress is the hidden tax on cloud portability—and how to negotiate or architect around it.

#CloudEgress #AWS #Azure #GoogleCloud #MultiCloud #HybridCloud #BandwidthCosts #CloudBills #CloudPortability #DataTransfer #Cloudflare #BandwidthAlliance #DirectConnect #Regulation #EnterpriseIT #Business #Technology #FexingoBusiness

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Episode 8 of The Cloud Business Podcast digs into one of the most misunderstood dynamics in enterprise cloud: the 34 percent premium that AWS, Azure, and Google Cloud charge for reserved instances versus on-demand compute in the current quarter. Lucas and Luna explain why the big three cloud providers introduced multi-year commitments with steep discounts starting in late 2025, how the pricing wars are actually costing enterprises more in lock-in, and why the hyperscalers are quietly moving to consumption-based models. They examine a specific case—a mid-size fintech that tried to arbitrage the reserved-instance pricing gap and ended up paying more in data egress fees than it saved. The episode also touches on the quiet renegotiation clauses that cloud sales teams hate to disclose. A focused, numbers-driven look at whether the cloud pricing revolution ever really happened.

#CloudPricing #AWS #Azure #GoogleCloud #ReservedInstances #EnterpriseCloud #CloudEconomics #VendorLockIn #FintechCaseStudy #DataEgress #Hyperscalers #CloudMigration #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #CloudStrategy #ITSpending #PriceOptimization

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In this episode of The Cloud Business Podcast, Lucas and Luna explore the emerging trend of 'data gravity' and how enterprises are moving massive datasets between cloud providers specifically to support AI training and inference. They examine a recent case study from a Fortune 500 retailer that moved 3 petabytes of structured data from on-premises to Google Cloud for a large language model project, and the unexpected costs: $1.2 million in egress fees and 14 weeks of engineering time. The hosts discuss the role of Google's Cross-Cloud Network, AWS Direct Connect, and Azure ExpressRoute in enabling these moves, and ask whether the next wave of AI adoption will force a rethinking of multi-cloud architecture. A donation segment ties the value of the podcast to the real-world decisions operators face every day.

#DataGravity #AIWorkloads #GoogleCloud #CloudMigration #MultiCloud #EgressFees #Fortune500 #CrossCloudNetwork #AWS #Azure #EnterpriseInfrastructure #LargeLanguageModel #DataTransfer #Business #Technology #FexingoBusiness #BusinessPodcast #CloudComputing

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Episode 6 of The Cloud Business Podcast looks at the accelerating shift from general-purpose CPUs to custom-designed chips in the cloud. Lucas explains why AWS's Graviton and Trainium processors, alongside Microsoft's Cobalt and Maia chips, are more than just a hardware tweak — they are rewriting the unit economics of enterprise cloud compute. He walks through the 40% price-performance advantage Graviton instances deliver over Intel-based instances and why that margin is forcing a strategic pivot for hyperscalers. Luna questions whether this is a genuine boon for enterprises or a lock-in risk in disguise. The conversation drills into the numbers: how AWS now runs more than half its top 1000 customer workloads on Graviton, and why Microsoft's investment in Cobalt 100 is already showing a 30% efficiency gain on Azure. They also grapple with the implications for Intel and AMD, and what the chip race means for customers who just want predictable pricing. This is a grounded, builder-level look at a structural change in cloud infrastructure that many finance teams are only beginning to notice on their monthly bills.

#CloudComputing #AWS #Azure #CustomSilicon #Graviton #Trainium #Cobalt #Maia #Intel #AMD #EnterpriseInfrastructure #CloudEconomics #ChipDesign #DataCenter #Hyperscaler #Technology #FexingoBusiness #BusinessPodcast

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Lucas and Luna dive into a specific cost trap that enterprises hit when moving to Kubernetes: the managed Kubernetes premium. Using a midsize retail-tech company as a concrete case, they break down how a $12,000 monthly compute bill on EC2 became a $45,000 control-plane-heavy Kubernetes cost on EKS. They explain the two biggest hidden line items — control plane nodes and storage orchestration overhead — and why the industry is only now starting to build cost-aware scheduling tools. Luna brings data on how Google's GKE Autopilot changes the pricing model, and Lucas makes the case that the real cost of Kubernetes isn't the container orchestration itself but the operational complexity it offloads. No hot takes, just a sharp look at a topic every cloud team is wrestling with in mid-2026.

#Kubernetes #ManagedKubernetes #EKS #GKE #AKS #CloudCosts #FinOps #KubernetesCost #ControlPlane #CloudInfrastructure #EnterpriseCloud #ContainerOrchestration #GKEAutopilot #CloudBill #TechStrategy #BusinessAndTechnology #FexingoBusiness #BusinessPodcast

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In this episode of The Cloud Business Podcast, Lucas and Luna dive into a specific environmental challenge facing the three major cloud providers: water consumption for data center cooling. Lucas opens with a concrete number from Microsoft's 2025 sustainability report — 2.4 billion liters of water consumed in fiscal 2025, up 34% year-over-year. The conversation explores where that water goes, how Google offsets its consumption in water-stressed regions, and why AWS is quieter on the metric. Luna asks whether water is the new carbon for cloud vendors, and Lucas explains the engineering trade-offs between water-based and air-based cooling systems. They also discuss the regulatory pressure building in places like Northern Virginia and Singapore, where local utilities are capping new data center builds based on water availability. The episode ends with a forward-looking question about whether liquid immersion cooling could eliminate the water problem entirely. Listeners will come away with one clear takeaway: cloud sustainability isn't just about renewable energy anymore.

#CloudBusiness #Microsoft #Google #AWS #DataCenter #WaterConsumption #Cooling #Sustainability #CarbonFootprint #RenewableEnergy #ImmersionCooling #NorthernVirginia #Singapore #Hyperscalers #Business #Technology #FexingoBusiness #BusinessPodcast

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In this episode, Lucas and Luna dive into the messy reality of edge computing adoption for large enterprises. While cloud providers like AWS, Microsoft, and Google have been marketing edge solutions for years, actual business adoption remains patchy. The conversation centres on a real-world case: a global logistics firm that tried to use AWS Outposts for real-time warehouse inventory tracking—and hit unexpected latency, cost, and management issues. Lucas walks through the key trade-offs between true edge (on-premise processing) versus 'near-edge' (regional data centres), and why most enterprises are still better off with the latter. They discuss the specific economics: how a single Outposts rack can cost over $100,000 a year, and why most workloads don't justify that premium. Luna brings in data from a recent Gartner survey showing that only 15% of enterprises have production edge deployments, despite 80% saying it's a priority. The episode gives listeners a concrete framework for deciding when edge actually makes sense—and when it's just expensive complexity.

#EdgeComputing #AWSOutposts #AzureStack #GoogleDistributedCloud #EnterpriseInfrastructure #CloudStrategy #Latency #Gartner #DataProcessing #IoT #RealTimeAnalytics #BusinessTechnology #TechPodcast #FexingoBusiness #BusinessPodcast #CloudComputing #Infrastructure #DigitalTransformation

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Episode 2 of The Cloud Business Podcast with Fexingo tackles the real cost of multi-cloud strategy. Lucas and Luna drill into a 2025 survey from HashiCorp showing that 87% of enterprises now run workloads on at least two public clouds — but only 13% have a unified governance plan. The hosts unpack the 'multi-cloud tax': the hidden overhead from duplicated tooling, cross-cloud data egress fees, and fractured identity management. They reference specific numbers — like how AWS charges 9 cents per gigabyte to move data out, while Azure and GCP hover around 8 to 12 cents. They also discuss how companies like DoorDash and Intuit have built internal abstraction layers to reduce lock-in. Luna pushes back on the 'best-of-breed' hype, citing a 2024 Gartner finding that 70% of multi-cloud adoption fails to deliver on cost savings. The episode closes with a practical framework: choose a primary cloud for your core compute, use a secondary for specialized AI or edge workloads, and never split identical workloads across clouds just for leverage. No fluff, just the numbers and the decisions that matter.

#MultiCloud #CloudTax #HashiCorp #AWS #Azure #GCP #EgressFees #DoorDash #Intuit #CloudGovernance #Gartner #CloudStrategy #VendorLockIn #EnterpriseTech #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #CloudInfrastructure

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In the premiere episode of The Cloud Business Podcast, Lucas and Luna unpack a single number that captures the last decade of enterprise infrastructure: AWS's 2025 revenue run rate of $116 billion. They trace the early bet on elasticity that made Amazon the default compute layer—not just a cost center but a platform that rewired how startups and Fortune 500s think about capital, speed, and risk. Using the 2006 launch of S3 as their starting point, they walk through the moment that switched enterprise mindset from 'how do we build it ourselves' to 'how do we buy it better.' Luna pushes back on the idea that cloud is inevitable for every workload, and Lucas gets specific on the math that made AWS's margins so durable—and what that means for Azure and GCP's pursuit. No marketing fluff, no vendor cheerleading. Just the infrastructure story that reshaped an industry.

#AWS #AmazonWebServices #CloudComputing #EnterpriseInfrastructure #Azure #GoogleCloud #S3 #Elasticity #CapexVsOpex #CloudEconomics #AndyJassy #InfrastructureAsCode #BusinessPodcast #FexingoBusiness #TheCloudBusinessPodcast #BusinessAndTechnology #CloudWars #DigitalTransformation

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