Operations | Monitoring | ITSM | DevOps | Cloud

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.

Modernizing a legacy CMake build-system

CMake tends to have a bad reputation for being to complex and convoluted, but often that notion stems from very old versions of CMake. Sure, CMake is a Turing-complete scripting language, but that is really needed for an ecosystem as complex as that of C and C++. And as Greenspun’s tenth rule of programming goes: There are countless build-systems and build-system generators for the C/C++ ecosystem. Some of them tried to use a simple, declarative approach.

How to Align CloudOps and FinOps for Better Azure Cost Management

The rapid migration to the cloud has brought unprecedented agility to modern enterprises, but it has also introduced a significant challenge in the form of cloud sprawl. As engineering teams provision resources at breakneck speed to support new applications and AI-driven workloads, financial departments often struggle to keep track of the escalating costs. This disconnect between operational execution and financial oversight is a primary driver of wasted cloud spend. To truly harness the power of scalable infrastructure without breaking the budget, organisations must bridge the gap between CloudOps and FinOps. Aligning these two disciplines ensures that technical performance and financial accountability work hand in hand to deliver sustainable business value. For companies heavily invested in Microsoft ecosystems, this alignment is even more crucial. Unchecked deployment can lead to massive end-of-month bill surprises, turning what should be a strategic advantage into a financial burden.