Operations | Monitoring | ITSM | DevOps | Cloud

Why AI-Generated Code Needs Monitoring More Than Handwritten Code

Like it or not, vibe coding is here to stay. It’s too easy to just go away. Maybe if the per token cost rises too much at some point that it becomes cheaper to hire a junior… But until then, you’d better get used to it. For now, tools like Cursor, Copilot, and Claude let developers (and plenty of non-devs) ship full-stack apps faster than a junior is able to completely grasp the concept of the app they’re working on. And that’s pretty neat.

PostgreSQL and MariaDB autoscaling: how full-stack autoscaling closes the database gap

When platform providers talk about autoscaling, they usually mean one thing: application autoscaling, adding or removing web instances based on traffic. The pattern is well understood. Define a metric, set a threshold, and let the platform act on it. Most platforms still leave database capacity as a separate, mostly manual problem. Teams either pre-provision for the worst hour of the worst day, upgrade plans on a calendar, or wire together their own scaling logic on Kubernetes or RDS.

Why Communities Hate Data Centers and How DCIM Can Help

Across the United States, data center projects are being stalled, local governments are putting ordinances in place to limit data center buildouts, all because people hate data centers. Due to community pushback, in Q1 2026 alone, over $130 billion’s worth of AI data center projects has been blocked or delayed.

Beyond performance monitoring: Understand the user experience with Grafana Cloud Frontend Observability

You've optimized your Largest Contentful Paint. Your Time to First Byte is under 200ms. Your Lighthouse scores are green. And yet, your checkout conversion rate is quietly dropping. A segment of users in Southeast Asia is churning. Your support team is fielding tickets about a form that "just doesn't work" and you have no idea which one. Traditional frontend performance monitoring tells you whether your application is fast. It doesn't tell you whether people are actually succeeding when using it.

The Two-Clock Trap: A CRO's Diagnosis of Why Enterprise AI Fails at the Sourcing Table

Every AI engagement runs on two clocks, and they no longer agree. The first is the intelligence clock, and it runs fast. The world it keeps time with re-renders every quarter. Models improve, inference costs fall, automation tightens, and the cost of producing a unit of work keeps dropping. This is the clock an enterprise believes it is buying when it invests in AI. The second is the contract clock, and it stopped years ago.

From Evidence to Outcome: Technology's Impact on Injury Claims

Injury claims are no longer built only on statements, photos, and medical bills. A single claim can now involve vehicle data, phone records, surveillance footage, digital medical files, telematics, billing systems, and AI-assisted document review. That shift matters because technology does not simply add more evidence. It changes how fault is proved, how injuries are connected to an event, how damages are calculated, and how quickly a claim can move from dispute to outcome.

The Growing Link Between Smart Tech and Real-World Accountability

Smart devices are no longer just helping people unlock doors, track steps, pay bills, manage work, or receive alerts. They are creating records. A doorbell camera can confirm who entered a property. A smartwatch can show when movement suddenly stopped. A workplace app can reveal who approved a task. A delivery platform can prove when an order changed hands. A cloud dashboard can show who accessed a file. Smart technology is turning ordinary actions into traceable events, and that is changing how accountability works in daily life.

Why Everyday Technology Is Becoming More Situational

Your phone does not treat every moment the same anymore. It knows when you are driving, sleeping, walking, shopping, searching, working, or moving through an unfamiliar place. Everyday technology is no longer built only around buttons and commands. It is being shaped around context. This is the real change behind modern AI, smart devices, apps, vehicles, and digital services. They do not only ask, "What did the user click?" They ask, "What is happening right now, and what should happen next?"

Why Legitimate AI and Human Users are Getting Elbowed Out of Your Infrastructure

The internet has always been a bit of a noisy, crowded place, but lately it feels like a never-ending brawl in the aisles of some superstore that sells everything from penny candy to luxury jets. That is essentially what running an enterprise website or API endpoint feels like in 2026: brawl management. Automated scripts are now advanced, highly coordinated AI agents acting on behalf of competitors, scrapers, search engines, and sometimes actual buyers. They make eCommerce chaotic and urgent. It makes customers frustrated and fickle.