Operations | Monitoring | ITSM | DevOps | Cloud

A company can have a mature data warehouse and still handle search data in a surprisingly improvised way. Product events arrive automatically. CRM records are synchronized. Revenue tables refresh overnight. Search rankings, keyword metrics, and backlink data, meanwhile, may still appear as exports sitting in somebody's downloads folder.

Operations and IT teams produce a steady stream of reports: monthly uptime summaries exported from monitoring tools, incident postmortems, SLA reports from vendors, security audit results, capacity reviews. Most of them end up as PDFs. Then someone from leadership asks for "a few slides for the quarterly review," and an engineer loses an afternoon copying text and screenshots into PowerPoint.

Most teams design on-call for the failures they can see in a dashboard. A region goes down, a deploy goes sideways, a certificate expires at 2 a.m. The rotation exists so that someone is always there to catch it. Far fewer teams design for the failure that takes out the catcher: the on-call engineer wakes up with a fever, and the plan for that is usually a Slack message and hope. Treat a sick engineer the way you would treat any other dependency outage. It is predictable, it is seasonal, and it has a blast radius that grows with every shortcut in the rotation design.

Enterprise networks are evolving as businesses adopt cloud applications, remote work, distributed offices, and connected devices. A hybrid WAN solution can help organizations combine different connectivity options while supporting the performance, reliability, and flexibility required by modern business operations.

AI pitch-deck tools promise "60-second" creation, yet reps keep burning hours fixing fonts, charts, and brand colors. We benchmarked 12 contenders and timed every step-from first prompt to a client-ready PowerPoint or Google Slides file. Only five met our bar for deck quality, native editability, workflow speed, collaboration depth, value, and security. This guide shows which tool wins each sales scenario so you can choose based on data, not hype.

Building an AI agent that completes an impressive task in a development environment is increasingly straightforward. Building one that an enterprise is willing to let operate repeatedly against production systems is a different engineering problem.

Laboratories face a familiar scaling problem. Demand rises steadily, the work itself does not change, and the only obvious way to process more of it is to add people and hours. That approach has a ceiling. Sample numbers tend to grow faster than headcount, and the work absorbing those extra hours rarely requires a trained scientist. Each additional operator also introduces their own technique, which becomes a variable in its own right.

Most people encounter helium in party balloons, yet balloons account for only a small share of its use. The bulk of this gas goes into medicine, microelectronics, science, aerospace and welding. For many of these tasks, helium has no equivalent substitute, because no other gas offers the same combination of properties.

After helping build two fast-growing telehealth businesses, Kyle Robertson is now focused on a model that could produce many companies instead of one. His New York-based venture studio creates startups from scratch, supplying the idea, the team and the first round of capital.

Sales compensation software provider Qobra has passed $1 billion in commissions certified on its platform and is now strengthening its position in North America. The company has set up its US operations in New York to keep pace with growing demand from American finance and RevOps teams.