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How Better Fleet Visibility Cuts Vehicle Operating Costs

Running a fleet of several vehicles means keeping track of a lot at once - fuel spend, service schedules, driver routes, client visits, and the occasional unplanned repair. When that information sits scattered across separate systems, small inefficiencies are easy to miss, and they quietly push up the overall cost of running a fleet.

Future-Proofing Your Facilities: Sustainable Operations

Adopting sustainable practices isn't just a niche concern anymore; it's a fundamental part of modern facility management. For businesses aiming to thrive long-term, future-proofing operations means weaving in green initiatives. These efforts boost efficiency, cut costs, and build a resilient brand. This shift goes beyond simple corporate responsibility, turning into a strategic advantage in a competitive market.

Break One Dependency, Not The Whole Cluster

Scoped chaos rules are now in proxymock. A filter query picks the traffic, an effect perturbs it, and every response that gets touched is labelled so you can tell an injected failure from a real one for the rest of the run. Available in v2.5.892 and newer. The short version of why: kill a pod and you learn something real, but you do not learn what your service does when a dependency stays up and starts lying to it.

Application Level Dependency Chaos Testing

Somewhere in your service is a branch that has never executed. Not a rare one, a never one. It handles a dependency being unavailable: it reads from a cache, it returns a stale value, it marks the response degraded so callers know not to trust it too far. It was written carefully. It was reviewed. Whether it works is an open question, because nothing in the test suite makes that dependency fail, and the dependency does not fail on request.

Back-to-school demand, handled: AI-powered capacity planning in one cloud DCIM

When back-to-school demand shifts overnight, your team can’t afford to chase answers across scattered spreadsheets and tools. You need a clear picture of available capacity, constraints, and priorities—all in one place. Hyperview’s cloud-based DCIM offers AI-powered capacity planning software that puts real-time capacity insights on a single dashboard, so you can act quickly and confidently as seasonal demand ramps up.

How AI Transforms ITSM Workflows | Ivanti

Discover how AI transforms ITSM workflows and elevates your support team. In this video, an IT leader shares why they recommend Ivanti ITSM for its ease of workflow setup and how they are using AI to automate and amplify their service desk. From AI-powered troubleshooting that intercepts support calls before they reach technicians, to automated knowledge article generation, incident correlation, incident summarization, and AI-enhanced customer communications, see real use cases in action.

ChatGPT Ditches Reddit AI Search Changes Explained

ChatGPT’s Reddit citations reportedly went from making up as much as 15% of its sources to essentially 0%. So what changed? We break down why Reddit is becoming less visible in AI search, how ChatGPT appears to be changing the way it finds information, and why more citations are now coming directly from documentation, help centers, and company websites. And yes — this is the same Reddit ecosystem that helped give us the infamous “put glue on your pizza” AI answer.

AI SRE Agent Audits Runbook Coverage and Opens the PRs: AURA

3 a.m., the pager fires, and the runbook describes a service that shipped three versions ago. Ask the agent what the cluster actually has instead. Runbooks go stale because clusters change faster than documentation does. Every deploy, every new service, every renamed alert widens the gap between what is running and what is written down.

Background AI agents, meet task containers

Task containers are now generally available on Upsun Cloud, giving you a place to run AI agents alongside the rest of your application. The agent runs as a container inside your Upsun Cloud project, next to the app it works on, with the same access to your environment and data as everything else deployed there. The lifecycle is the part that's new: it fits how agent workloads behave instead of forcing them to pretend to be servers. A few things up front: This is a hands-on guide.

GitHub Copilot Enterprise pricing [2026]: seats, AI credits, and the September cliff

GitHub Copilot Enterprise pricing is $39 per user per month, and since June 1, 2026, each seat includes $39 in monthly GitHub AI Credits, pooled across your whole organization and consumed by token usage at per-model rates. The seat price is fixed. The bill is not: usage beyond the pooled credits is charged on top, which is why the real Enterprise question in 2026 isn't the price per seat. It's your engineers' token consumption.