Operations | Monitoring | ITSM | DevOps | Cloud

Across a same-store panel of 422 CloudZero customer organizations, AI reached 3.02% of the median company's cloud bill in September 2026, up 37 basis points from 2.66% in August, the largest monthly gain since we began tracking. The 75th percentile rose to 12.55%. The share of organizations spending at least $1,000 a month on AI barely moved, to 68.0%. Companies already spending drove the growth. Last month we called the median the least informative number in this report. September proved us wrong.

To manage cloud alerts effectively, define which conditions require immediate action, include useful incident context, and route critical notifications to the engineer currently on call. Add escalation rules for unanswered alerts and test the entire path from detection to response. This process applies whether your team uses AWS, Azure, Google Cloud, or several providers. Cloud monitoring can tell you something is wrong.

IT incidents do not follow a 9-to-5 schedule. A server can go down overnight, a critical application can fail on a weekend, or a high-priority support ticket can arrive when the IT team has already left the office. For IT teams, the challenge goes beyond simply providing after-hours IT support. They need a reliable on-call process that identifies the right responder, delivers critical alerts and ensures timely escalation when necessary.

If your Grape API calls error! inside an Active Record transaction, the client gets an error response and the database keeps the writes. No exception, no warning, no rollback. The request looks failed from the outside and succeeded on the inside. A fix merged into Grape on October 3 and is queued for Grape 4.1.0. It’s not released yet, so every current Grape version still behaves this way. Here’s why it happens, how to check whether you’re affected, and what changes when 4.1 ships.

In short, automating the AI agent lifecycle is this year’s pitch: Google Cloud’s walkthrough of 30th July 2026 turns the whole thing into a conversation with a coding agent.

If you’re looking for a comparison of cloud storage costs in the UK, you’ve come to the right place! We cover how much does cloud storage cost for the most popular cloud storage providers, including Internxt, Google, and more. In this article, you can compare monthly, annual, and lifetime plans from different providers, storage amounts, and additional features so you get the best cloud storage at the best prices. Prices are based on current conversion rates at the time of writing.

AIOps is often discussed as a broad technology category. That framing can make it difficult for an IT operations leader to connect the concept with the problems consuming the team’s time today. The practical question is simpler: Where does your team repeatedly lose time between detecting an issue and resolving it? Maybe engineers are drowning in alerts.

Datadog runs thousands of internal services and has been increasing global footprint year after year. For most of that growth, we treated services uniformly when making deployment and reliability decisions. At our current scale, that approach became expensive. A change destined for production rolls out to data centers sequentially, so deployment time grows with every data center we add.

SSH File Transfer Protocol (SFTP), also known as Secure File Transfer Protocol, and Trivial File Transfer Protocol (TFTP) have similar acronyms but have two different jobs. Choose SFTP for sensitive files, routed or untrusted networks, authenticated automation, partner exchange and remote file management. Reserve TFTP for constrained bootstrapping or device-transfer workflows on a tightly controlled network when the endpoint requires a minimal design.

For years, engineering teams have faced the same challenge during incidents: the systems generating alerts are becoming more complex, but the investigation that follows is still largely manual. Monitors are good at telling us that something is wrong. The harder question is why. When an alert fires, an engineer still has to work out where to look, which signals matter, what hypothesis to test, and how the evidence across logs and metrics fits together.