Operations | Monitoring | ITSM | DevOps | Cloud

Cloud costs are no longer just an engineering problem or a finance problem. It’s now an everyone problem. That was the central message from the FinOps Training At Scale webinar that took place on Sept. 25, 2025, where CloudZero’s Larry Advey (a.k.a. “Fred FinOps”) and Director of Tech Enablement Umesh Rao walked through the realities of building FinOps practices that work in the real world.

The world of cloud costs is always evolving, and AI spend is quickly becoming one of the most unpredictable and confusing cost drivers. As more organizations integrate generative AI into their products, FinOps teams are struggling to account for — and control — these new, often mind-boggling cost streams. In fact, 44% of engineering professionals say improving AI explainability is a top priority in AI budgeting, according to CloudZero’s State Of AI Costs In 2025 report.

In this guide, you will build and deploy a serverless data processing workflow using AWS Step Functions and AWS Lambda. This approach enables you to orchestrate discrete processing tasks in a scalable and cost-efficient way, leveraging the event-driven architecture that AWS offers. You will begin by creating individual Lambda functions that handle specific tasks in your data pipeline.

Flyway provides a lot of flexibility for releasing database changes in a safe and repeatable manner. Earlier this year, we added the ability to automate state-based deployments. This means the structure of the database is defined in version control and Flyway handles updating a target database to match it. The Flyway comparison engine does all the hard work of identifying what’s different and creating a script that will run on the target database to alter it so it matches the latest state.

NTILE in SQL transforms raw lists into structured distributions before they reach a dashboard. By pushing distribution logic upstream, it divides ordered rows at the query level, so the insights in Power BI, Tableau, or Excel are accurate, not just polished visuals. This guide explores its syntax, practical examples, and comparisons with other ranking functions. It also highlights how database IDEs bring NTILE insights directly into analysis and reporting workflows. Table of contents.

Harness has been recognized as a Leader in the 2025 Gartner Magic Quadrant for DevOps Platforms for the second consecutive year. To us, this recognition acknowledges our solutions and capabilities that we offer. . Harness continues to support the full software delivery lifecycle and remains focused on expanding capabilities and improving adoption across industries.

Policies are essential for maintaining secure, cost-effective, and compliant infrastructure. But writing them from scratch takes time, time most teams would rather spend on building and shipping. The intent is there. Platform teams want to enforce standards. But figuring out what to enforce, writing the logic, validating parameters, and wiring it all into workflows adds friction. Even experienced teams find themselves blocked not by policy frameworks, but by the overhead of getting started.

Security and compliance teams face a critical challenge: by the time they discover suspicious activity in their development pipeline, it’s often too late to prevent damage. Manual audit log requests create bottlenecks that delay incident response, and gaps in visibility leave organizations vulnerable to insider threats and compliance violations. If your team struggles with any of these issues, you need a systematic approach to real-time audit monitoring.

HAProxy is the workhorse in front of countless APIs and apps because it’s fast, lean, and flexible. Because it sits on the traffic hot path, it’s also your earliest warning system when something slows down or breaks entirely. This means that monitoring it isn’t optional. You need to see connection queues and retries, per-stage timings, health-check failures, and spikes in error statuses to catch incidents before users do.