Operations | Monitoring | ITSM | DevOps | Cloud

Welcome to December’s edition of CloudZero’s Cloud Economics Pulse — your monthly read on how cloud spend is shifting across providers, services, and AI workloads. No surprises here — November continued the quiet reshaping trend we’ve seen all year. Compute softened, data layers grew, and AI/ML hit its highest share yet. AWS extended its lead, Azure and GCP nudged upward, and the emerging “AI layer” of providers continued to take shape.

A few months back, a backend team at a fast-growing SaaS company shipped what seemed like a harmless feature. Just a simple request validation layer. No new service. No major dependencies. No architectural shock. Yet two months later, their cloud costs had climbed 38% without any significant increase in traffic, storage, or compute load. What they’d missed was that the validation layer triggered a fan-out pattern.

Python is deeply embedded in modern infrastructure, but many organizations continue to run outdated Python across critical systems. Sticking with older runtimes may seem harmless, but it quickly piles up technical debt as teams spend more time maintaining fragile code and applying workarounds. Over time, that debt translates into a high financial drain.

Imagine being able to automatically detect when a high-value order is placed, then log it and notify your sales team – without manually accessing your app code. Azure SQL Trigger Functions make this possible. By automating the response to database changes as they happen, you can streamline operations, sync data, and power workflows in near real-time. Azure SQL Triggers, especially when combined with serverless functions, offers a powerful, low-maintenance way to respond to real-time data changes.

Traditional testing methods often delay the software development lifecycle, as we have grown used to these outdated processes without considering alternatives. Ephemeral environments introduce a more efficient solution. They allow for the quick creation and dismantling of isolated testing environments. These isolated environments approach leads to faster and more productive development cycles while still delivering high-quality software to users.

The state of web app, API, and AI service security is in constant flux, with threats seemingly lurking around every corner. For years, organizations have relied on web application firewalls (WAFs) as a critical layer of defense. HAProxy Technologies has long provided robust WAF solutions, including earlier versions such as the "Advanced WAF" and "ModSecurity WAF" — based on the popular open source WAF engine. These excelled against widely-known OWASP Top 10 threats.

New Relic provides full-stack observability and monitoring. It provides almost every type of system monitoring on a single platform. This includes monitoring tools for infrastructure, application performance monitoring (APM), synthetics, user, log, mobile, network, and Kubernetes components. DevOps, security, and business professionals use these capabilities to detect anomalies, analyze root causes, and fix software performance issues.

For twenty years, a stolen private key was a disaster. It meant total compromise. Every encrypted conversation, password transmitted, API call ever made was readable. Traffic was being recorded all the time, “just in case” your private key leaked out. The NSA even had a name for it: “harvest now, decrypt later.” Record all the encrypted traffic today. Steal the private keys tomorrow. Decrypt everything retroactively.