Episode 36 of Cloud Computing with Fexingo dives into the hidden economics of cloud data egress fees. Lucas and Luna break down why AWS, Azure, and GCP are locking in customers with data transfer costs, using a real example of a mid-size SaaS company that saw its monthly bill double after moving 50 terabytes out of S3 to a rival cloud. They explain how these fees are structured, why they're rarely negotiated, and what the Federal Trade Commission's 2026 report means for enterprises. The hosts also touch on the rise of egress-free alternatives like Cloudflare R2 and Google's 'no egress' offer on Anthos. No hot takes—just a clear-eyed look at a $5 billion annual cost that most cloud architects ignore. Plus, a sincere moment about listener support keeping the show ad-free.

#CloudComputing #DataEgress #AWS #Azure #GCP #CloudCosts #FTC #VendorLockIn #CloudflareR2 #GoogleCloud #CloudInfrastructure #Technology #FexingoBusiness #BusinessPodcast #CloudEconomics #DataTransfer #SaaS #CloudMigration

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In 2026, running Kubernetes on the three major clouds is getting noticeably cheaper, but the savings come with strings attached. Lucas and Luna break down the specific pricing changes AWS, Azure, and Google Cloud have rolled out this year — like AWS's new Karpenter auto-scaler reducing compute overprovisioning by roughly 25 percent, Azure's reservation discounts on AKS clusters, and Google's sustained-use credits for GKE. They also dig into the catch: compute costs may drop, but networking and storage costs are rising, especially for multi-region deployments. Plus, a real example of an e-commerce company that cut its Kubernetes bill by over 30 percent by switching to spot instances and using Karpenter — and what it cost them in engineering time. This episode helps you decide whether the cloud providers' Kubernetes price cuts are a genuine win or a strategic move to lock you deeper into their ecosystems.

#Kubernetes #AWS #Azure #GoogleCloud #GKE #AKS #Karpenter #CloudPricing #2026 #CloudComputing #Technology #FexingoBusiness #BusinessPodcast #CloudInfrastructure #SpotInstances #ComputeCosts #MultiCloud #DevOps

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Episode 34 of Cloud Computing with Fexingo drills into the growing strategic importance of cloud data egress fees. Lucas and Luna examine why major providers like AWS, Azure, and Google Cloud charge to move data out, how these fees have become a competitive battleground, and what enterprises can do to manage costs. They cite real examples: a fintech startup paying $80,000 per month in egress, and the recent EU regulatory scrutiny. The hosts also discuss multi-cloud architectures, data transfer patterns, and whether egress-free zones are the future. A must-listen for anyone managing cloud costs or evaluating provider lock-in.

#CloudComputing #DataEgress #AWS #Azure #GoogleCloud #CloudCosts #MultiCloud #CloudStrategy #Fintech #EU #Regulation #LockIn #DataTransfer #CloudInfrastructure #Technology #TechPodcast #FexingoBusiness #BusinessPodcast

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Episode 33 of Cloud Computing with Fexingo dives into one of the most frustrating charges on your cloud bill: data egress fees. Lucas and Luna break down why AWS, Azure, and Google Cloud have been increasing egress fees in 2026, using real-world examples like a startup that saw a 40% egress cost jump after moving to a multi-cloud setup. They explore the economics behind these fees—network infrastructure costs, competitive moats, and the shift to data-heavy AI workloads—and offer tactical advice on how to mitigate them, from using content delivery networks to negotiating committed-use discounts. Listeners will learn why egress is becoming a bigger line item and what to do about it.

#CloudComputing #DataEgress #AWS #Azure #GoogleCloud #CloudCosts #CloudBilling #MultiCloud #CDN #AIWorkloads #NetworkFees #Technology #CloudStrategy #FinOps #EgressFees #CloudInfrastructure #FexingoBusiness #BusinessPodcast

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In this episode of Cloud Computing with Fexingo, Lucas and Luna dive into the growing role of cloud usage analytics in cutting infrastructure waste. With cloud spending now a top-three expense for many companies, a new wave of tools—like Vantage, CloudHealth, and native AWS Cost Explorer—is helping teams identify idle resources, right-size instances, and forecast costs with surprising accuracy. Lucas shares how one mid-size SaaS company used granular analytics to cut its monthly bill by 34 percent in just three months, and why the real savings came from shifting to a culture of continuous optimization rather than one-off cleanups. Luna pushes back on whether these tools are just a band-aid for poor architecture, and the conversation explores where the industry is heading—including AI-driven anomaly detection and real-time cost governance. If you're managing a cloud bill, this episode offers practical takeaways on how to turn data into savings.

#CloudCostOptimization #CloudUsageAnalytics #AWS #Azure #GCP #FinOps #Vantage #CloudHealth #RightSizing #IdleResources #CostForecasting #CloudWaste #Technology #BusinessPodcast #FexingoBusiness #CloudComputing #Infrastructure #DevOps

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Episode 31 of Cloud Computing with Fexingo examines why AWS, Azure, and GCP are fundamentally redesigning their networking architectures in 2026. Lucas and Luna unpack the shift from traditional TCP/IP to custom protocols like SRv6 and AWS's 'Silk' initiative, exploring how this impacts latency, cost, and multi-cloud strategies. They use a specific case: how a fintech firm slashed data-transfer fees by 40% after adopting provider-native networking. The conversation also touches on the controversy over vendor lock-in versus performance gains, and why enterprises should care about network-level changes. Perfect for cloud architects, DevOps leads, and anyone managing cloud costs.

#CloudComputing #Networking #AWS #Azure #GCP #SRv6 #CloudArchitecture #MultiCloud #CloudCost #Latency #TechPodcast #FexingoBusiness #BusinessPodcast #Infrastructure #DevOps #FinTech #DataTransfer #VendorLockIn

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Episode 30 of Cloud Computing with Fexingo dives into resiliency engineering—the practice of deliberately breaking systems in production to build stronger infrastructure. Lucas and Luna explore how Netflix's Chaos Monkey evolved into a full-blown discipline adopted by AWS, Azure, and Google Cloud. They dissect the real story behind a 2023 incident at a major European bank that lost $150 million in three hours due to a cascading DNS failure, and explain why 'chaos engineering' is no longer optional for enterprises running mission-critical workloads. The hosts also discuss how cloud providers now embed fault injection tools directly into their platforms, and why the financial services sector is leading adoption. This episode offers concrete takeaways for architects and engineering leaders looking to reduce mean time to recovery without exploding their cloud bill.

#CloudComputing #ResiliencyEngineering #ChaosEngineering #NetflixChaosMonkey #AWS #Azure #GoogleCloud #SiteReliabilityEngineering #FaultInjection #DNSFailure #FinancialServices #MeanTimeToRecovery #Architecture #Technology #FexingoBusiness #BusinessPodcast #CloudInfrastructure #Podcast

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Lucas and Luna dig into the numbers behind cloud reserved instances—the discounts, the lock-in, and the hidden risks. Using a real-world example of a mid-size SaaS company that committed to three-year Azure reservations, they explain how upfront payments can save 40% or waste 60% if usage patterns shift. They also weigh the trade-offs against spot instances and on-demand pricing, and discuss how AWS, Azure, and GCP are quietly adjusting their reservation terms in 2026. By the end, you'll know exactly what questions to ask before signing any commitment.

#CloudComputing #ReservedInstances #Aws #Azure #Gcp #CloudCost #FinOps #Technology #Business #Podcast #FexingoBusiness #CloudPricing #CostOptimization #CloudMigration #SaaS #Infrastructure #CloudStrategy #Episode29

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Most engineering teams treat the annual cloud architecture review as a formality: an afternoon with a spreadsheet, a few tag cleanups, and a pat on the back. Lucas and Luna argue that this checklist mindset is now the single biggest source of hidden cloud waste in 2026. They walk through a specific case: a mid-market SaaS company that ran a genuine zero-based architecture review, cut its monthly AWS bill by 38%, and eliminated two entire microservice categories that were generating more data-transfer fees than user value. They explain the three specific questions most teams skip, why the 'lift and shift' mindset persists four years after migration, and how one simple change — a weekly cost-per-request review by service — can prevent bill creep. The conversation stays tactical: no theory, just the audit your cloud team probably isn't doing.

#CloudArchitecture #AWS #Azure #GCP #CloudCostOptimization #FinOps #ZeroBasedBudgeting #Technology #BusinessPodcast #FexingoBusiness #CloudComputing #CloudMigration #SaaS #Microservices #DataTransferCosts #CloudReview #CostPerRequest #CloudWaste

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Lucas and Luna explore why cloud bills continue to surprise even experienced engineering teams three years after migration. They examine a real case: a mid-sized SaaS company that moved to AWS in 2023 and saw costs grow 40% year-over-year despite flat revenue. The hosts break down the three biggest culprits — unused reserved instances, data transfer between services, and developer-launched ephemeral environments — and explain why traditional cost management tools miss them. They also discuss a 2026 survey showing 68% of companies exceed their cloud budget every quarter. This episode gives listeners a concrete checklist for auditing their own bills and a new way to think about cloud cost as a product of team behavior, not just infrastructure.

#CloudCost #AWS #Azure #GCP #FinOps #CloudBilling #ReservedInstances #DataTransfer #EphemeralEnvironments #CostOptimization #CloudMigration #TechBudget #SaaS #Infrastructure #Technology #CloudComputing #FexingoBusiness #BusinessPodcast

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