Episode 137 of Cloud Computing with Fexingo digs into a common cloud billing surprise: per-request charges for object storage. While most teams focus on storage cost per gigabyte, request fees for GET, PUT, and LIST operations can silently consume a large share of the budget. Lucas unpacks a real-world example: a startup storing user-generated images on AWS S3 that found its monthly request fees exceeded storage costs by four times. He explains how Amazon S3’s pricing works—$0.023 per GB per month plus $0.005 per 1000 GET requests—and how high-volume applications with many small files can rack up million-request bills. Luna probes why this catches teams off guard, and they discuss mitigation strategies: using a CDN to absorb read traffic, aggregating writes with batch operations, and enabling S3 Transfer Acceleration to reduce request latency. They also touch on how similar fees apply to Azure Blob Storage and Google Cloud Storage, and why modeling total cost including requests is essential for accurate budgeting. If today's tech conversation gave you something usable, listener support keeps the show ad-free at buy me a coffee dot com slash fexingo.

#CloudComputing #AWS #S3 #ObjectStorage #CloudCosts #RequestFees #AwsS3Pricing #CloudBilling #HiddenCosts #AzureBlobStorage #GoogleCloudStorage #FeeAware #CostOptimization #Technology #FexingoBusiness #BusinessPodcast #CloudInfrastructure #PodcastEpisode137

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Lucas and Luna break down why your cloud bill might be quietly growing due to API calls for managing secrets like database passwords and API keys. They explain how AWS Secrets Manager and Azure Key Vault charge per 10,000 calls, how microservices architectures can inflate these costs through frequent retrievals and rotation policies, and why teams often overlook this line item. A real-world scenario—100 secrets, 100 pods, rolling updates—shows how a seemingly small fee can compound into thousands of dollars. They also share best practices like caching secrets in memory, using sidecar providers like External Secrets Operator, and setting up cost alerts. Essential listening for anyone managing cloud infrastructure or trying to understand every line of the monthly bill.

#CloudComputing #AWS #Azure #GCP #SecretsManager #KeyVault #APICalls #CloudCosts #HiddenFees #Microservices #Kubernetes #CostOptimization #FinOps #Technology #CloudInfrastructure #FexingoBusiness #BusinessPodcast #CloudSecurity

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Most cloud users focus on compute and storage costs, but DNS resolution is an often-overlooked expense that can silently inflate your monthly bill. In episode 135 of Cloud Computing with Fexingo, Lucas and Luna break down how AWS Route 53, Azure DNS, and Google Cloud DNS price per query, why microservices and containerized architectures multiply these costs, and practical strategies to cut your DNS bill by 30–50% without sacrificing performance. They walk through a real-world example: a mid-size e-commerce platform that was spending $1,200 per month on DNS alone simply because they hadn't enabled query logging or consolidated public zones. You'll learn about caching, alias records, and private DNS zones. The hosts also discuss how cloud providers are quietly raising DNS prices as a margin play, and what you can push back on in contract negotiations. If your cloud bill has been creeping up without explanation, this episode might point you to the culprit.

#CloudComputing #DNS #AWSCosts #AzureCosts #GoogleCloud #Route53 #AzureDNS #CloudDNS #CloudBilling #CostOptimization #Microservices #ContainerCosts #NetworkCosts #CloudInfrastructure #HiddenCloudCosts #FexingoBusiness #BusinessPodcast #Technology

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This episode of Cloud Computing with Fexingo dives into a hidden cost that's quietly inflating cloud bills: load balancer data processing fees. While most teams focus on compute and storage, AWS, Azure, and GCP all charge per gigabyte of data that flows through their load balancers. For a mid-size e-commerce site handling 500 GB per day, that adds up to over $1,000 a month — often buried in the 'networking' line item. We break down the pricing models, how they differ across providers, and why this fee is becoming harder to ignore as traffic grows. Plus, we share three mitigation strategies including using TCP passthrough on the Nginx controller in Kubernetes, right-sizing your load balancer type, and leveraging AWS Global Accelerator to reduce per-GB costs. If you're managing a cloud bill over $10K a month, this episode is a must-listen.

#CloudComputingWithFexingo #Aws #Azure #Gcp #LoadBalancer #DataProcessing #CloudCosts #Finops #Kubernetes #Nginx #AwsGlobalAccelerator #Savings #Technology #FexingoBusiness #BusinessPodcast #Episode134 #HiddenCosts #Networking

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AWS started charging for public IPv4 addresses in 2024, but many teams still haven't cleaned up idle allocations. At $0.005 per IP per hour, each unused address costs about $43.80 a year — and a typical development account might have dozens. Lucas and Luna break down why the charges exist (IPv4 exhaustion, the secondary market), how Azure and GCP compare, and practical strategies like leveraging NAT Gateways, IPv6, and Elastic IP lifecycle policies. They also discuss common pitfalls, such as public-facing load balancers that generate hidden IP costs, and how to audit your account using tools like AWS Trusted Advisor or Azure Advisor. Whether you're running a single EC2 instance or a multi-region architecture, this episode will help you spot a cost that's easy to overlook.

#CloudComputing #Technology #AWS #Azure #GCP #IPv4 #CloudCosts #FexingoBusiness #BusinessPodcast #PublicIP #NATGateway #IPv6 #ElasticIP #CostOptimization #CloudInfrastructure #DevOps #FinOps #CloudBilling

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NAT gateways are a classic hidden cloud cost: they charge per hour even when idle, plus per GB for data processed. In this episode, Lucas and Luna break down how a mid-sized startup with three regions can easily spend over $2,000 a year just on NAT gateway infrastructure, and why many teams never audit these charges. They explore cheaper alternatives including VPC endpoints for S3 and DynamoDB, egress-only internet gateways for IPv6, and shared NAT solutions via transit gateways. By the end, listeners will know exactly where to look for wasted NAT spend and how to reduce it without breaking connectivity.

#CloudComputing #NATGateway #HiddenCosts #AWS #Azure #GCP #CloudCostOptimization #VPC #Egress #CloudInfrastructure #CloudBilling #FexingoBusiness #BusinessPodcast #Technology #Networking #CostSavings #CloudMigration #CloudArchitecture

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Most engineering teams assume database backup storage is free up to the size of their allocated database — but cloud providers have been quietly tightening the math. In this episode, Lucas and Luna unpack Amazon RDS automated backup billing, Azure SQL backup storage redundancy tiers, and GCP Cloud SQL's inclusive storage allowance. They walk through a real example of a company that saw backup storage costs grow to 30% of total database spend because of manual snapshots and cross-region retention. The episode also covers the hidden data transfer charges for restoring from snapshots, and offers practical steps to monitor and cap backup storage costs before they surprise your finance team. If you manage cloud databases, this one might save you a line item you haven't checked yet.

#CloudComputing #DatabaseBackup #HiddenCloudCosts #AWS #RDS #Azure #AzureSQL #GCP #CloudSQL #BackupStorage #CloudCostOptimization #Technology #CloudInfrastructure #FexingoBusiness #BusinessPodcast #CloudCosts #DatabaseSnapshot #DevOps

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Episode 130 of Cloud Computing with Fexingo digs into a cloud cost that often flies under the radar: the fee for using a custom domain on an API gateway. Lucas and Luna break down how AWS, Azure, and GCP each charge for this seemingly simple feature. Lucas explains that AWS charges $1.20 per month per custom domain per region, Azure's App Gateway charges a flat monthly fee regardless of usage, and GCP's Cloud Endpoints charges per million requests. They discuss a real case of a startup that ran up thousands in unanticipated costs because they used separate domains for each environment and microservice. The episode also touches on the broader pattern of cloud providers unbundling essential features and charging extra. Tune in to learn one concrete number or policy you can check in your own cloud bill.

#CloudComputing #AWS #Azure #GCP #APIGateway #CustomDomain #CloudCosts #FinOps #HiddenFees #Technology #Infrastructure #DevOps #Serverless #CloudBilling #Startup #FexingoBusiness #BusinessPodcast #TechPodcast

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Episode 129 dives into a new cloud cost line item that's quietly inflating monthly bills: metadata API charges. Lucas and Luna break down a case study from a mid-size e-commerce company running on AWS — how their bill spiked 14 percent after they migrated to a newer EC2 instance type that charges per metadata request. The episode explains what metadata calls are (think instance identity documents, user data, and tags), why providers started charging for them, and three concrete strategies to reduce costs: caching metadata locally, switching to IMDSv2 with session-based tokens, and auditing your SDK configuration. Listeners walk away understanding a hidden cost that most DevOps teams haven't spotted yet.

#CloudComputing #CloudCosts #AWSCosts #MetadataAPI #EC2 #IMDSv2 #FinOps #CloudBilling #Technology #FexingoBusiness #BusinessPodcast #CloudInfrastructure #CostOptimization #AWS #DevOps #CloudArchitecture #InstanceMetadata #CloudEconomics

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Episode 128 of Cloud Computing with Fexingo uncovers a new line item appearing on AWS and Azure invoices: the container startup fee. Lucas explains how providers now charge per container pod launch, with rates around $0.000002 per startup — tiny per pod, but massive for organizations running millions of short-lived tasks. He cites a real example: a data processing company burning $40,000/month on startup fees after migrating to serverless containers. Luna pushes back on whether this is a genuine infrastructure cost or a hidden tax, and the hosts debate the impact on serverless adoption. The episode also covers mitigation strategies, from using long-running daemon sets to negotiating custom pricing. A concrete look at how cloud billing keeps evolving in granular, often surprising ways.

#CloudComputing #AWS #Azure #ContainerStartupFee #Serverless #Fargate #ACI #CloudBilling #HiddenCosts #Kubernetes #PodStartup #Technology #FexingoBusiness #BusinessPodcast #Infrastructure #DevOps #CostOptimization #CloudCosts

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