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The Trust Gap: Why a Data Foundation is Fundamental to an Agentic Enterprise

Oct 2, 2026 By Splunk In Splunk

Agentic AI is transforming the enterprise, but its success hinges on one critical factor: trust. Without robust governance, auditability, and a unified data foundation, scaling AI safely remains out of reach.

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Building Production-ready AI Infrastructure? Start With the Network

Oct 2, 2026 By Kevin Dresser In Megaport

AI workloads depend on fast, secure, and scalable access to data across on-premises systems, colocation, cloud platforms, and GPU environments. Here’s how private connectivity can help enterprises move from AI proof of concept to production-ready infrastructure. AI pilots tend to be forgiving. Production isn’t. In the early stages, a team can usually get by with a simple path into a GPU environment, enough bandwidth to test an idea, and a security model that suits a limited group of users.

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AI Control Tower Live: Governance that moves at machine speed

Oct 2, 2026 By ServiceNow In ServiceNow

One question, ninety minutes: Do you know what AI agents you have running, what they're accessing, and what's their ROI? ServiceNow product leaders open with an overview of why legacy controls can't keep pace with AI agents. Then we'll showcase customer stories from Zespri and Booking.com, end-to-end demos of AI Control Tower, and a look inside ServiceNow's own AI estate.

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Seer, the Sentry MCP and CLI, or your own coding agent: where each one fits

Oct 2, 2026 By Paul Jaffre In Sentry

I’ve been getting some version of this question a lot lately, mostly in our Seer preview webinars. Different audiences, same handful of questions: Worth answering all three in one place. Honestly, I needed to write this down for myself too. Things are moving fast around all of us and answers seem to get more nuanced by the week. This is an attempt to codify the difference: what each option is and when it makes sense to reach for one over the other.

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Honeycomb AI Ecosystem - Now Generally Available.

Oct 2, 2026 By Honeycomb In Honeycomb

Honeycomb AI Ecosystem shows you the performance and cost of every AI agent in one live view and drills straight to the conversation behind any number, so you can diagnose your whole fleet in minutes without switching tools or rebuilding a single query.

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Emergency Plumber vs Standard Plumber: Which Service Is Right For Your Urgent Repairs?

Oct 2, 2026 By OpsMatters In OpsMatters

Plumbing issues can disrupt the peace and comfort of your home, often striking at the most inconvenient times. Imagine a burst pipe or a flooded bathroom in the middle of the night - situations that require immediate attention. This article will explore the differences between emergency plumbing services and standard plumbing services, helping you decide which is best suited for your urgent repair needs. We'll also consider the key factors you should weigh when choosing between these two options.

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A Simple First-Project Workflow for Trying Seedance 2.5

Oct 2, 2026 By OpsMatters In OpsMatters

A first AI video project becomes difficult to evaluate when the idea includes several subjects, changing locations, camera moves, and a detailed story. If the output fails, a beginner may have no clear way to tell what went wrong. A small project gives each revision a useful purpose. Try Seedance 2.5 with one visible action and a simple ending. Treat the first output as a draft to inspect before editing.

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How We Rebuilt GitLab CI on GKE Spot VMs

Oct 1, 2026 By Shaun Duncan In Speedscale

Here at Speedscale, our monorepo has 19 Go projects in CI. Fifteen produce container images for both amd64 and arm64; a few of those need CGO. We also publish cross-compiled CLI binaries for macOS, Linux, and Windows.

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Best ADEs for Multi Agent Coding in 2026

Oct 1, 2026 By Jade Nangah In GitKraken

Running one AI coding agent is productive. Running five of them at once across three repositories? That’s a coordination problem. Agentic development environments (ADEs) give you a single surface to orchestrate multiple agents, review what each one changed, and get code merged. Kepler by GitKraken is one of the most capable options in this growing category. It’s built around agent-agnostic orchestration and Git workflow control from backlog to merged PR.

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AI Tooling Comes to Cycle - Announcing Cycle's Hosted MCP

Oct 1, 2026 By Alexander Mattoni In Cycle

TL;DR - We made a way to use Cycle with AI models for doing things like deploying applications faster and diagnosing complex issues. If you'd like to get started right away with Cycle's Hosted MCP, check out our documentation. Today, we're launching a brand new way to interface with the Cycle Platform, that just a year or two ago would have felt entirely like science fiction. Our first ever AI-oriented tooling, Cycle's Hosted MCP, is live today.

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