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Cloud FinOps
With Generative AI on AWS, you’ll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment.
Taming the GenAI Money Monster: How DoiT Cloud Analytics and Application Inference Profiles Make AWS Bedrock Costs Crystal Clear
In the wild west of generative AI, your budget can quickly become the fastest gunslinger in town — shooting
7 Common AWS Commitment Mistakes and How to Avoid Them
If you’re managing cloud infrastructure costs on AWS, you’ve probably heard that Savings Plans (SPs) and Reserved Instances (RIs) can save you significantly compared to On-Demand Instances.
FinOps Lessons from a Dating App
How continuous learning, ‘small steps’, and architectural optimisation take the lead in FinOps transformation By François Pasquet, Technical Account
Cloud Diagrams update: Visualize costs directly in your diagrams
Cloud Diagrams now includes cost data and heatmaps so you can see expensive AWS resources in context with their dependencies. Optimize with full architectural visibility.
Unpacking Serverless in Azure
Getting started with Azure serverless. Serverless deployment has become a popular option in many cloud environments. Each cloud provider
Choosing the Right AKS Networking Model
Understanding the differences between Azure CNI, CNI Overlay, and Kubenet is crucial for AKS network architecture decisions and networking
Is Your Kubernetes Cluster Running on Trust? Why Image Verification Is No Longer Optional
In today’s fast-moving cloud-native ecosystem, Kubernetes has become the de facto standard for container orchestration. We spin up pods
What Is FinOps? Mastering Cloud Financial Management
What Is FinOps? The Key to Smarter Cloud Spending Picture this: It’s the end of the quarter, and for
Amazon Bedrock Flow: The Easiest Way to Build AI Workflows (No Code Needed!)
Generative AI is taking over, and if you’ve been keeping up, you know how powerful it can be. But
