Operations | Monitoring | ITSM | DevOps | Cloud

From the time I joined CloudZero almost two years ago, one thing was unmistakably clear: the team here had built the most powerful cost allocation engine in the FinOps industry. It was also clear that this power came with something of a tradeoff. While engineers and technical FinOps practitioners loved what our YAML-based CostFormation engine could do, the experience wasn’t always simple for non-technical people getting their hands on the product for the first time.

The obituary for the data center was written too soon. While the cloud dominates today’s IT headlines, traditional infrastructure hasn’t disappeared. It is evolving. Enterprises still rely on data centers for control, compliance, and reliability. However, they are increasingly needing the agility, scalability, and cost visibility that the cloud promises. Cloud managed data center services are bridging this gap.

Two of the most well-known brands in the cloud storage market are iCloud and Google Drive. This article will explore the "big" two services regarding price, storage capacity, features, security, privacy concerns, integration with other services, user interface, and pros and cons. By the end, you will better understand which cloud storage service is best for you. We already covered Google vs Microsoft in a previous article, which you can check out below.

Nearly every industry today uses AWS for different services. Developers, cloud architects, DevOps engineers, and IT teams all use it to provision servers, databases, and storage. However, doing this service by service and then wiring them together can get messy. That’s where AWS CloudFormation comes in to save time, enforce consistency, and lower the risk of misconfigurations. But beyond simplifying infrastructure management, one big question remains: at what cost?

Today, we’re making CloudZero even better with the launch of Dimension Studio, a major evolution in how CloudZero customers create and manage Dimensions — customizable “lenses” that allocate cloud and AI spend to relevant categories like products, features, teams, or customers, without relying on resource tags. At CloudZero, our mission has always been to help organizations make sense of their cloud and AI spend.

Visibility into email performance is indispensable to any organization that counts on its ability to reach people through their inboxes, including Datadog. SREs, FinOps, and many other teams rely on email as a critical channel for communications from our platform, including monitor alerts, usage reports, and service account notifications. At Datadog, we depend on the visibility provided by our integrations for Mailgun, SendGrid, and Amazon SES to optimize our email performance and ensure deliverability.

For a long time, public cloud has been the default answer to scaling infrastructure, but it's not the only path forward. As more teams weigh the risks of vendor lock-in, data residency, and dependence on US-based providers, the conversation around private cloud has taken on new urgency. However, building on private infrastructure doesn't have to mean sacrificing flexibility.

2025 is winding down, but cloud and AI spending is still heating up. September brought some big news that could impact your bottom line. Here are the can’t-miss cloud cost updates from last month: Enjoy!

Many SaaS businesses prioritize customer acquisition and retention over increasing gross margins, particularly during the startup and scale-up stages. It makes sense. A company can accelerate its revenue growth by acquiring and retaining more new customers, rather than simply selling more to existing ones. Yet, here’s the thing. Revenue growth measures the increase in the amount of money a business earns from sales.