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Shipped: Stop guessing why that billing connection exists

Every team with more than a few data connections has had this moment: someone opens the connections list, points at one, and asks “what is this for?” The answer lives in a former teammate’s head or in a Slack thread. And cleaning up the wrong connection can break cost ingestion. Now each connection can carry a note that explains why it exists, and anyone who opens the connection sees it.

AI agent cost: what agents really cost to run

AI agent cost in 2026 is mostly a consumption bill, not a subscription. Running an agent costs anywhere from fractions of a cent for a simple routed task to $5 or more for a complex multi-step job, because one request can trigger 3 to 10 model calls behind the scenes. Average production deployments land between $3,200 and $13,000 per month in operational spend. Here is where that money actually goes.

Upsun recognized for third consecutive year in the Gartner Magic Quadrant for Cloud-Native Application Platforms

Upsun acknowledged for its Ability to Execute and Completeness of Vision. Upsun is proud to be recognized for a third year in the 2026 Gartner Magic Quadrant for Cloud-Native Application Platforms alongside other evaluated CNAP platforms. Upsun empowers development teams to ship better software, faster, not just by simplifying infrastructure management, but by rethinking how the entire software development lifecycle works in an era of AI-powered development.

SaaS Tools: An Essential Guide for Navigating Insurance Compliance for Franchise Businesses

For franchise businesses, managing insurance compliance can be a complex and time-consuming task. The intricacies of ensuring every franchisee adheres to corporate policies, while also meeting local regulatory requirements, can overwhelm even the most organized teams. Moreover, the need to regularly update and verify insurance certificates adds another layer of complexity. This article will delve into the key challenges faced by franchise businesses in maintaining insurance compliance and explore how SaaS tools specifically designed for this purpose can streamline these processes.

Shipped: Get anywhere in CloudZero with a keystroke

You know exactly where you want to go in CloudZero. Getting there sometimes takes a moment as you click into the nav, open a menu, scroll a dropdown, find the thing, click again. Every trip back to a familiar spot can take a few steps. Shortcuts remove that friction. Press command+K on Mac or ctrl-K on Windows anywhere in CloudZero, type where you want to go, and hit Enter. That means there’s no clicking through the nav and no scrolling to find what you already know the name of.

What is AI ROI? Definition and why it matters

In 2025, 85% of organizations increased AI investment, and 91% plan to do the same this year, according to Deloitte. Despite continued spending, however, ROI lags behind, with just 6% seeing payback within one year. While AI use cases tend to have a longer payback period, often in the 2-4 year range, companies can’t afford to keep spending money without some measure of its practical impact both immediately and over time.

What are AI tokens? The unit your AI bill is written in

AI tokens are the small chunks of text, roughly four characters or three quarters of a word each, that language models read and generate. Every prompt and every response is measured in tokens, and AI providers bill per million of them. That makes the token the base unit of AI spend: 1,000 tokens is about 750 words, and every AI feature you ship is a token meter running.

Ai4 2026: Measuring AI spend is solved. Now it's time to prove its worth.

CloudZero had a full team on the ground at Ai4 in Las Vegas during the first week of August 2026. The team included CTO Erik Peterson, who spoke on a panel about AI cost economics. The same problem surfaced everywhere we went: teams can see what they’re spending, but not whether it’s working. DIY cost tooling that fails time and time again, agent sprawl, and a widening gap between finance and engineering kept coming up throughout the week.

Inference Optimization Techniques. Ray vs. vLLM vs. KubeRay

Serving large language models at scale is fundamentally a distributed systems problem. A single GPU, or even a single node, is rarely enough once you need multiple models, multiple replicas, tensor-parallel sharding across GPUs, or high-availability rollouts. Kubernetes solves general container orchestration well, but it has no native concept of a GPU-aware, actor-based compute cluster.