Operations | Monitoring | ITSM | DevOps | Cloud

N-central Quarterly Roundup - Q1 2026

Watch Mike Adler, Chief Technology Officer and Chief Product Officer at N-able, as he walks through the Q1 updates for N-central—and what’s coming next in Q2. This release cycle is packed with innovation designed to strengthen security, improve efficiency, and simplify day‑to‑day operations. In this video, you’ll discover highlights including.

N-Sight Quarterly Roundup - Q1 2026

In this short roundup, Mike Adler, Chief Technology and Product Officer at N-able covers the key N-sight updates delivered in Q1 and what is on the way in Q2, including: Script Hub public preview for multi‑OS script creation and execution Entra ID support for N‑able Login to streamline identity and access New security and operational signals including BitLocker visibility and reboot tracking Also, he discussed what will be available in Q2, for example: N‑zo AI assistant, expanded vulnerability management and Mac patching, and deeper workflow automation across scripts and assets.

Why Enterprise AI Demands More Than Just Automation

Based on insights from The Intelligent Enterprise podcast, “The Evolution from Automation to Autonomy” Every couple of weeks, The Intelligent Enterprise podcast steps away from the day-to-day noise of enterprise life to explore big ideas from a fresh perspective. In one recent episode, the focus turned to a question many organizations are still grappling with: What does it really take to build an AI-powered enterprise that works with people, not against them?

Turn developer feedback into operational insight with Datadog Forms and Sheets

Engineering organizations rely heavily on developer feedback to improve internal platforms, tooling, and processes. However, that feedback is often scattered across disconnected systems such as external forms, spreadsheets, chat threads, and documentation tools. Because these systems are separate from operational data, teams struggle to correlate developer sentiment with measurable performance or reliability outcomes.

Blind Tokenmaxxing Is The New Cloud Waste. Focus on Outcome-Maxxing Instead

Meta's internal token leaderboard sparked a frenzy — and a reckoning. Tokenmaxxing without attribution is just cloud waste 2.0. Companies like Hudl and Duolingo use cost intelligence to connect every AI dollar to a business outcome.

What Is LLM Observability? For CFOs And Engineers, The Missing Layer Is Cost

You probably have Datadog. Maybe New Relic, maybe Dynatrace. Your observability stack has been solid for years — and you're still flying blind on AI cost. Here's why LLM observability needs a fourth pillar most tools skip, and how to build one that actually tells you what your models are costing you per request, per feature, per customer.

New: SSL Certificate Monitoring, Security Center, Domain & SSL Expiration Tracking - Plus Our Affiliate Program

DNS Spy now goes well beyond DNS record monitoring. We've shipped SSL certificate discovery and security auditing, expanded the Security Center to 40+ automated checks across six categories, and built expiration tracking for both domains and SSL certificates — with tiered alerts so nothing expires without warning.

Under the Hood: Engineering JFrog Premium Availability

In the modern software factory, 99.9% uptime is no longer the gold standard. A standard 99.9% SLA translates to approximately 43 minutes of unexpected downtime per month. While industry data shows that a single minute of downtime costs an average of $9,000, for large global enterprises, that figure can easily be 5x higher. At tens of thousands of dollars per minute, those 43 minutes quickly compound into a catastrophic financial and operational risk.

Nagios Plugins Collector: Run Your Existing Checks and Custom Scripts Inside Netdata

A lot of teams have a collection of Nagios plugins and custom monitoring scripts that have been running reliably for years. Some are standard community plugins for checking disk health or SSL certificate expiry. Others are homegrown Bash or Python scripts that check something very specific to the business: whether an API endpoint returns the right payload, whether a batch job completed on time, whether a queue depth is within bounds.