Operations | Monitoring | ITSM | DevOps | Cloud

The most dangerous window is before threat intel knows about it

When a malicious package is first published, threat intelligence sources haven't flagged it yet – and every team pulling from a public registry is exposed during that entire window. The fix isn't faster scanning; it's a policy that holds new packages for a defined cooldown period before they're eligible to pull. By the time the window closes, the threat intelligence has caught up. Teams pulling direct from npm or PyPI have no equivalent enforcement layer – which is exactly how attacks like Shai-Hulud got in.

AI Tool Sprawl Is Killing Enterprise ROI | Why Orchestration Matters More Than AI Features

Enterprise AI adoption is accelerating, but are organizations actually solving business problems or just adding more tools? In this episode of Agents of IT, Fran Fernandez (Chief Product Officer at Resolve) and Zach Austin (Director of Product Marketing) explore one of the biggest challenges facing enterprise IT in 2026: AI tool sprawl. They discuss why many organizations struggle to demonstrate ROI from AI investments, how disconnected AI assistants create operational complexity, and why orchestration, automation, and context have become the real differentiators for enterprise AI success.

Shipped: Turn your Bifrost gateway into an AI spend meter

If you route model traffic through Bifrost, you already have the hard part: one place every AI call passes through, where the model, the tokens, and the cost are visible on the way past. It’s the cheapest spot in your stack to measure AI spend. What’s missing is everything downstream – today that usage only becomes “spend” weeks later, when the provider invoice lands as a lump sum you can’t break apart.

Don't 'control' your AI spend. Understand it and be intentional.

There’s a good interview making the rounds. BizTech sat down with IBM’s James Stevenson to talk about how financial institutions can get a handle on cloud and AI costs. The advice is solid: get visibility, kill idle resources, tighten governance, tag everything. And pull finance and engineering into the same room. I don’t disagree with it. But I read the whole piece and noticed where the gravity pulls: control costs, reduce waste, bring down spend. The headline says it (‘Q&A.

Accelerate investigations with AI in Datadog Incident Response

Engineering teams spend much of their incident response time investigating the problem and coordinating the response. Both tasks become harder when telemetry data lives in one place, deployment history is stored in another, and conversations unfold across chat channels and incident bridges. Responders often spend the first part of an incident rebuilding context before they can begin testing hypotheses and working toward resolution.

How Datadog uses AI to build internal software delivery tools and improve system performance

At Datadog, we want our developers to become better at using AI tools with the end goal of building quality software, faster, that generates real value. This includes not only the products and features that our customers use, but also the internal tools that help keep our workflows running smoothly behind the scenes.

What the World Cup Looks Like in Internet Traffic

The World Cup may be the most-watched event in media history — so what does it look like from inside the network? We dug into ISP traffic data to reveal how Fox Sports peaks during US games, why second halves usually win, and how traffic flows shift for entire nations like Brazil and Iran when their team takes the field.

What's New in InfluxDB and Telegraf: Q2 2026 Product Updates

Summary: Q2 was about giving teams more leverage with less overhead. Between April and June 2026, releases across Telegraf, InfluxDB 3, and InfluxDB 3 Explorer focused on reducing manual work and putting more control directly in their hands as they scale. Telegraf Enterprise reached general availability, giving teams a centralized way to manage, monitor, and support tens of thousands of Telegraf agents.

N-central 2026.2 Release Roundup

n-able.com In this release roundup, Jason Murphy, UEM Head Nerd at N‑able, walks through what is new in N‑central 2026.2 and how these updates help IT teams work smarter, respond faster, and strengthen security without adding complexity. This release focuses on meaningful improvements across AI‑assisted operations, filtering accuracy, and security visibility, all designed to reduce manual effort and improve confidence for IT teams.

N-central 2026.3 Release Roundup

Discover what's new in N-central 2026.3. This release focuses on helping IT teams operate more efficiently at scale with improvements to performance, filtering, agent management, security, and integrations. From faster device filtering and rule validation to enhanced agent upgrade workflows and stronger security controls, N-central 2026.3 delivers meaningful improvements designed to simplify day-to-day operations and improve platform reliability.

Availability, Performance and Behavior : The Big Picture of Network Intelligence

In this session, we will introduce the third dimension of network monitoring: behavioral intelligence built into the Progress WhatsUp Gold network monitoring solution. Where other tools, like SolarWinds and PRTG, require multiple modules, complex rule-writing, integrations or additional overhead, the WhatsUp Gold solution uses AI-driven behavioral analysis to automatically baseline what’s normal in your network and unveils deviations early.