Why Spark Felt Different From Every Other AI Support Tool
Brandon Woods, Keysight Technologies, on the Difference Between a DEX-Powered IT Agent and a Generic AI Assistant “Spark’s real power is the Nexthink data behind it.
Operations | Monitoring | ITSM | DevOps | Cloud
The Place Where Modern Operations & Technology Come Together
The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!
From Cleanup to Animation in One Workspace: Redefining the Editing Loop
For the past several months, I have been watching a pattern emerge in how people actually use AI image tools. The pattern is not about any single feature. It is about how often a task that starts as a simple cleanup request evolves into something entirely different. A user uploads a product shot to remove a stray reflection. Then they wonder what the same image would look like with a different background. Then they think about turning it into a short social video. Each step is logical, but traditional workflows treat each step as a separate job requiring a separate tool.
7 Signs Your Plumbing Business Needs a Virtual Receptionist
Growth in a plumbing business is a good problem - until it isn't. At a certain point, the volume of calls, bookings, and customer inquiries outpaces what one person (or a crew that's always on-site) can reasonably handle. The business starts showing stress fractures that are easy to dismiss as growing pains but are actually signals worth paying attention to. If any of the following sounds familiar, it may be time to rethink how your phones are being managed.
Revolutionizing Collaborative Design: The Future of Teamwork in Tech
In the rapidly evolving tech industry, businesses are increasingly harnessing the power of collaborative design to accelerate innovation, problem-solving, and project delivery. Cutting-edge methodologies and digital tools have enabled interdisciplinary teams to work more creatively and efficiently, reshaping the landscape of modern design collaboration.
Crypto Telegram: The Essential Guide for Traders and Investors in 2026
Modern crypto trading does not happen in isolation. The most informed traders in 2026 stay connected through crypto Telegram - active groups where market intelligence, trading signals, and project updates flow in real time, giving members a genuine edge over those relying on slower information sources. This guide covers everything you need to know about using Telegram effectively as a crypto trader, from understanding the ecosystem to finding the right communities for your goals.
$500 Million in One Month: What Happens When AI Has No Guardrails
A company burned $500M in Claude credits because nobody set a limit. Uber exhausted its 2026 AI budget. Microsoft canceled Claude Code licenses. The problem isn't AI - it's the total absence of governance around how people use it.
Modern Tech and the Future of Sewer Line Repairs
Sewer line problems used to mean absolute chaos for property owners. Heavy machinery would tear up yards, driveways, and beautiful gardens just to reach a single broken pipe. New methods allow teams to inspect and fix underground systems without destroying the surface environment. Property owners can now resolve major plumbing issues with far less stress. Modern systems keep the water flowing safely and protect local properties from massive structural damage.
Konstruct product updates: Global resources, MCP support, and smarter permissions
May has been one of our busiest months yet for Konstruct. Across three releases, 0.5, 0.5.1, and 0.5.2, we've shipped some of the most requested platform-level changes since we launched: a unified model for sharing resources across organizations, native support for AI-driven workflows via MCP, a completely redesigned API keys experience, and a cleanup to how permissions actually work in multi-org environments. Let's walk through what shipped and why it matters.
Uber blew its annual AI budget in 4 months
Uber burned through its entire annual AI budget in under 4 months. Here's what went wrong — and what every engineering org should be doing instead. The data: 80% more code is getting pushed with AI… but only 18% of AI-written code actually ships to production. That's not a productivity story. That's a spend problem. If you're scaling AI tooling without real-time monitoring and guardrails, you're Uber.
Monitor LLM routing with the Kubernetes Inference Extension
If you serve LLMs on Kubernetes without inference-aware routing, your load balancer is likely wasting inference capacity. Generic HTTP traffic management blindly routes requests, assuming the backends in your cluster are interchangeable. But your model-serving backends are stateful and unevenly prepared to handle any given request. As a result, requests are often routed to the backend that’s not the one best suited to respond.