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Why QKD Is Gaining Attention in Critical Infrastructure Security

Aug 4, 2026 By OpsMatters In OpsMatters

A power supply company has planned a renovation. Well, replacing the office furniture and appliances is not a hassle, but then changing the cryptography embedded in substations, control centers, field gateways, and decade-old operational technology requires different planning and execution. In most cases, these systems have been in service long after encryption protecting them has become questionable.

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Your AI agents don't need better models. They need the same context.

Aug 3, 2026 By Upsun In Upsun

Everyone on the team has good coding agents. That is not what made the team fast. The shared repo, the shared docs, and a glossary nobody is allowed to drift from did more than any model choice. In this Product Highlights conversation, Patrick Dawkins, a principal engineer at Upsun who is building Upsun Dispatch under a hard deadline, explains what his team changed to sustain that pace. His take: "As well as the team all having access to the same things and the same vocabulary, all the agents also have access to those docs.".

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Introducing MCP Connections: Netdata AI Now Reads From the Tools You Already Run

Aug 3, 2026 By Shyam Sreevalsan In netdata

Netdata AI can now connect outward to the tools your team already runs, like GitHub, PagerDuty, Atlassian, or any custom MCP server, and read from them during an investigation. We call this MCP Connections. It’s the missing piece in the middle of every root-cause investigation: the alert tells you what changed, but the why is usually somewhere else entirely.

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Product leaders talk safer, faster releases and deeper analysis with Bits | This Month in Datadog

Aug 3, 2026 By Datadog In Datadog

In July’s This Month in Datadog, Jeremy is joined by Datadog product leaders for in-depth conversations about how Bits enables you to confidently evaluate and release features containing AI-generated code, and use natural language to ask, understand, and act across Datadog.

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Microlesson: Using the Sumo Logic MCP Server

Aug 3, 2026 By Sumo Logic, Inc. In Sumo Logic

Learn about the Sumo Logic MCP Server -- allowing the use of Sumo Logic data and functionality in conjunction with your AI-driven tools (such as Claude Code or Github Copilot) to support agentic AI workflows for your organization.

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Microlesson: Dojo AI SOC Analyst Agent

Aug 3, 2026 By Sumo Logic, Inc. In Sumo Logic

This video introduces Sumo Logic's SOC Analyst Agent, an AI-powered tool within the Dojo AI platform designed to transform security operations centers.

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Shipped: Put every AI task on the cheapest model that can actually do it

Aug 3, 2026 By Djo Lopez In CloudZero

If your team builds with AI, someone is defaulting to the biggest model available (say, Fable) because it feels like the safe pick, and the safe pick is almost always the most expensive one. One over-powered choice looks harmless on its own, but multiplied across every prompt, agent, and workflow, and you get a big number on the P&L. All that, yet nobody chose which model on purpose. As we like to say, using a default is not a decision.

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AI cost reduction: tactics that preserve performance

Aug 3, 2026 By Keith MacKenzie In CloudZero

AI cost reduction means lowering what you spend to run AI (tokens, inference, and compute) without sacrificing quality. The highest-leverage tactics, prompt caching, batching, and routing easy work to smaller models, cut spend 50 to 90% by removing waste, not capability. Somewhere right now, a finance leader is opening an AI bill that has quietly tripled, with no new product to show for it. Nobody approved it. No single decision caused it.

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Straight from Support: AI credits, student plans, and why your Mac fans are so loud

Aug 3, 2026 By Jade Nangah In GitKraken

Every so often we sit down with someone from our support team and turn their week into a blog post. First up: Roberto Vizcarra, on four things generating tickets lately, AI credits, student plans, integrations, and Mac performance. Here’s what changed and what to do about it.

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Institutional knowledge doesn't scale: Building an agentic data analyst

Aug 3, 2026 By Data In Incident.io

We’ve previously written about how deeply embedded data is in people’s day-to-day work at incident.io, and I’d have it no other way — demand for data is undoubtedly a good thing. What risks breaking at scale, however, is everything downstream of that demand: data-team capacity gets stretched thin, dashboard sprawl outpaces anyone's ability to maintain it, and stakeholders can't reach an answer without going through the data team.

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