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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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Uber blew its annual AI budget in 4 months

May 29, 2026 By Harness In Harness
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.
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civo

Konstruct product updates: Global resources, MCP support, and smarter permissions

May 29, 2026 By John Dietz In Civo
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.
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