Operations | Monitoring | ITSM | DevOps | Cloud

APIs power almost everything we use today, from cloud platforms and monitoring tools to ticketing systems and internal applications. But no matter how useful an API is, the response usually arrives as raw JSON. That's perfectly fine for machines, but much less convenient for people. Whether you're debugging an endpoint, exploring a new service, or building dashboards for your team, you'll probably want a better way to visualize that data. Fortunately, there are several ways to visualize API responses.

A recent IDC Spotlight report based on a survey of 685 public sector respondents found that 72% describe scaling AI from pilot to production as "very" or "somewhat" difficult.¹ Choosing the right model is only part of the challenge. Agencies also need to get their data ready for AI.

Top tips is a weekly column where we highlight what's trending in the tech world and list practical ways to explore these trends. This week, we're talking about boreout, the lesser-known cousin of burnout, and how to stay engaged as AI takes on more of the routine work. There was a time when finishing your work early felt like winning. Now it somehow feels... suspicious. You glance at your inbox and nope, there are no new emails.

When an alert fires at 2 a.m., responders need context more than another dashboard. A suspicious authentication event may begin in an identity provider, touch a cloud control plane, appear in an application log, and end with an unusual data transfer. If each signal lives in a separate tool, analysts spend the first part of the incident rebuilding a timeline instead of containing the threat.

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