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Your Cloud Economics Pulse For November 2025

Welcome to CloudZero’s inaugural Cloud Economics Pulse! This is our monthly snapshot of how cloud spend is evolving across providers, services, and emerging AI workloads. Each month, we’ll surface key trends, highlight where the money’s moving in cloud spend, and offer practical insight to help FinOps and cloud cost teams stay on top of things. October — and preceding months — shows a turbulent stretch for cloud economics.

Value Engineering Vs. Cost Cutting: The Value Paradox

For every CFO who’s ever asked, “Can we reduce engineering costs by 15%?” there’s a CTO quietly thinking, “But at what cost?” That tug-of-war plays out inside most SaaS companies. Finance wants to tighten budgets to protect margins, while engineering and product teams push for the resources to build, test, and innovate faster. The truth is, the teams that spend most efficiently — not necessarily the least — drive the highest returns.

Pepperdata Launches Optimization for AI Infrastructure, Delivers up to 30% Savings on GPUs

ATLANTA - November 10, 2025 - Pepperdata, the leader in Kubernetes resource optimization in the cloud and on prem, today announced the general availability of pepperdata.ai, a groundbreaking, automated optimization solution to reduce the cost of running AI workloads on GPUs. Attendees are invited to visit Pepperdata's booth at KubeCon and CloudNativeCon North America 2025 on November 11-13 at the Georgia World Congress Center in Atlanta, GA, to discover how Pepperdata helps organizations-including members of the Fortune Five-automatically maximize the efficiency and cost-effectiveness of their AI infrastructure and workloads.

Eliminate unnecessary costs in your Amazon S3 buckets with Datadog Storage Management

Cloud object storage powers a wide range of workloads, from AI training datasets to customer-facing media libraries. As your data grows into the petabyte scale, managing storage costs and ensuring reliability requires fine-grained visibility. You need answers to questions like: Which specific teams, services, workloads, or datasets are driving spend? Which data is cold and should be archived? What fixes will have the biggest impact on cost and performance?

CloudZero: Making Kubernetes Costs Transparent And Actionable

Kubernetes is now the backbone of modern software infrastructure, helping teams deploy, scale, and manage applications efficiently across clouds. But when it comes to understanding costs, Kubernetes remains opaque. Teams often can’t answer basic questions like: How do you solve the gap between engineering usage and financial visibility? CloudZero’s new Kubernetes capabilities are built to address this challenge.

What Is BigQuery? A Guide To How It Works And Costs

Data has exploded — and so have the challenges that come with it. Every click, transaction, and sensor ping generates mountains of data that traditional databases can’t handle. That’s why more than 94% of organizations now rely on cloud platforms, according to CloudZero’s 2025 cloud report. The goal isn’t just to store data, but rather, to make sense of it fast. And this is exactly where tools such as Google BigQuery step in.

What Is AWS Step Functions? A Complete Guide

Imagine you are building an e-commerce app. Every time a customer places an order, a lot happens behind the scenes. For example, you need to charge their card, update inventory, create a shipping label, and send a confirmation email. You could try to write one giant program that does everything in the correct order, but that quickly becomes a tangled mess — especially if something fails halfway through (say, payment succeeds but inventory update fails).

Announcing CloudZero's Oracle Cloud Connector: Real Cost Intelligence For AI And High-Performance Workloads

For years, enterprises have turned to Oracle Cloud Infrastructure (OCI) for what it does best: powering mission-critical applications with unmatched performance, security, and predictable economics. OCI has historically staked its reputation on being the go-to platform for organizations running complex, data-intensive workloads, from core databases and ERP systems to large-scale compute clusters, while putting extra focus on security and predictable pricing.