AWS
AWS at Beyond Market Intelligence is a file of 32 stories. The newest of them: “Your AWS Lambda Code Storage Just Got a 300 GB Upgrade”, “Normalizing Live Data Tames the Chaos of IoT Sensor Streams”, and “Build portable serverless logic without sacrificing native cloud power”. AWS Lambda now lets you point deployment packages at your own S3 buckets, lifting the per-Region code storage quota from 75 GB to 300 GB by default. Real-world APIs do not behave like sample datasets. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every AWS story on Beyond Market Intelligence, newest first.
Your AWS Lambda Code Storage Just Got a 300 GB Upgrade
AWS Lambda now lets you point deployment packages at your own S3 buckets, lifting the per-Region code storage quota from 75 GB to 300 GB by default. That's a practical unlock for teams juggling large or numerous functions. The catch: per-function package limits stay put, and you'll still call UpdateFunctionCode after swapping an object. It's a focused improvement, not a rewrite, and that's fine. For broader infrastructure thinking, our guide to distributed training algorithms pairs well with this shift.
Normalizing Live Data Tames the Chaos of IoT Sensor Streams
Real-world APIs do not behave like sample datasets. They drift. Keys mutate, schemas shift, and your lake pays the price. This first piece in our four-part series tackles Normalization, the essential first step when building a high-frequency streaming pipeline against openSenseMap's live public data. It is a smart, practical starting point. For more on scaling infrastructure, see our piece on simplifying EKS management. Expect matching algorithms, adaptive polling, and a Terraform-based Iceberg pipeline next.
Build portable serverless logic without sacrificing native cloud power
Vendor lock-in feels like a price you pay for using the cloud, but Elena van Engelen thinks you can have it both ways. In her presentation, she lays out how Clean Architecture, Spring Cloud Function, and Gradle modules keep business logic portable across AWS and Azure. The payoff is a live demo deploying Kotlin services with Terraform CDK. It's a practical path to flexibility. For more on reducing cloud constraints, check out our piece on stateless deployments with the Model Context Protocol.
Roll back Kubernetes upgrades with a seven-day safety net
Upgrading a Kubernetes cluster should feel like progress, not a gamble. Amazon EKS now lets you roll back the control plane to its previous version within seven days of an upgrade, giving teams a practical safety net when issues surface. That window turns a risky leap into a manageable step. It's a straightforward acknowledgment that even well-tested updates can go sideways. For practitioners tired of crossing their fingers during upgrades, this is a welcome layer of control.
Automate PII extraction from emails with intelligent cloud processing
Email inboxes are messy, and the sensitive data they hold makes manual classification both tedious and risky. This walkthrough shows you how to build an intelligent document processing system on AWS that automates the extraction of personally identifiable information. It is a practical, cloud-native approach to reclaiming control over your data workflows. The focus stays on actionable steps, not abstract theory. For those ready to push further into modern AI infrastructure, our guide to distributed training algorithms offers a natural next step.
When Your Cloud Bill Reads Like a Nation's GDP, Trust Breaks
A trillion-dollar estimate on an AWS bill is the kind of jolt no finance team needs, especially when the company's own alarms stayed silent. For over 24 hours, customers saw astronomical figures while internal alerts failed to halt generation or page engineers. It took customer escalations to get attention. That gap between detection and action is worth examining. For more on how observability should work, our piece on monitoring Cypress tests with Grafana offers a practical contrast.
When Agents Outrun Billing, Your Cloud Costs Compound Before You Notice
A $14,000 AWS bill in one day. That's what a three-person agency faced after attackers lifted static access keys and burned Claude invocations on Bedrock. It's a stark reminder that cloud billing, built for human-speed mistakes, lags a full day behind agent-speed spend. When autonomous agents move faster than your guardrails, the cost isn't just computational; it's existential. Practitioners are right to warn us.
Centralize your AI tools: AWS and Anthropic launch a self-hosted control plane.
AWS and Anthropic have shipped the Claude apps gateway for AWS, a self-hosted control plane that puts identity, policy, telemetry, and spend caps in one stateless container. It routes inference to Amazon Bedrock or Claude Platform on AWS. That's a practical answer for teams juggling Claude Code and Claude Desktop across their org. Centralizing control without forcing a cloud detour feels like the right next step.