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cloudzero

AI ROI is an allocation problem

Jun 1, 2026 By Scott Castle In CloudZero
AI spend is going parabolic, and the labels on the bill (OpenAI, Anthropic, Gemini) are about all a CXO gets to work with. The hard part of tying that spend to outcomes is structural. A major portion of AI spend isn’t COGS. It’s the spend on coding agents producing the software, the spend on building marketing content, the spend on custom sales tooling, the spend on Intercom agents and Sybill analysis.
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Kentik

Shifting Streams and AI Surges: What Our Data Reveals About the OTT Landscape

Jun 1, 2026 By Doug Madory In Kentik
OTT data from early 2026 shows streaming hierarchies holding steady while AI platforms reshuffled rapidly. Claude has substantially increased traffic since January, overtaking Gemini, and is on pace to challenge ChatGPT by fall. Doug Madory digs into the data in this new analysis.
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Inside the Grafana AI Team Weekly: AI Observability for the OTel demo and LLMSpec (May 12, 2026)

Jun 1, 2026 By Grafana In Grafana
This is an excerpt from a real AI team weekly meeting where we talk about the stuff we build and occasionally also demo them! In this one, Principal Software Engineer Sven Großmann demos how he integrated AI Observability into the OTel demo, complete with the guards feature he introduced last week, and Principal Software Engineer Yas Ekinci gives a rare glimpse of LLMSpec, the internal counterpart of the o11ybench benchmark that we use to evaluate Assistant.
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c1

Why AI-Enhanced Managed Services Providers Are Becoming Essential for Modern IT Operations

Jun 1, 2026 By Chad Atchley In C1
For years, managed service providers (MSP) were viewed primarily as a way to reduce operational overhead. Organizations outsourced monitoring, support, and maintenance to improve uptime, contain costs, and free internal teams from routine IT tasks. Today, that model is no longer enough.
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From Cleanup to Animation in One Workspace: Redefining the Editing Loop

From Cleanup to Animation in One Workspace: Redefining the Editing Loop

Jun 1, 2026 By OpsMatters In OpsMatters
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.
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harness

Anthropic's Mythos, Glasswing, and how the industry must move forward | Harness Blog

May 29, 2026 By Adam Arellano In Harness
When Anthropic broke the news of Mythos and Project Glasswing, the security community did what it always does. It published a flurry of papers asking "What does this mean for security?" It's a reasonable instinct, but it's the wrong question. The real question is who actually owns the problem?
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datadog

Monitor LLM routing with the Kubernetes Inference Extension

May 29, 2026 By David Lentz In Datadog
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.
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