Operations | Monitoring | ITSM | DevOps | Cloud

AI wrote the code, but can you trust it? #aicoding #integration #cursor #devops #speedscale

Using AI coding tools like Cursor is fast, but it leaves a massive question: Is the new code going to break production? We solve this by combining Cursor with Proxymock! I take a live traffic snapshot of my running app, feed it back to the AI, and instantly run realistic integration tests locally. It's the only way to get true confidence before you push. Watch the full video below!

EP1: Getting started with ServiceDesk Plus MSP Cloud

Join us for a step-by-step tutorial on how to effectively configure your instance, customize your help desk, and automate processes using ServiceDesk Plus MSP Cloud. Also, learn how to leverage essential PSA features such as Timesheets, Billings, and Resource Management to streamline your MSP operations and achieve operational efficiency right from the start.

Introducing Kentik AI Advisor

Introducing Kentik AI Advisor. AI with a comprehensive understanding of your network that thinks critically and advises how to design, operate, and protect infrastructure at scale. With the rise of hybrid cloud networks and the growing demands of AI infrastructure, network teams are under pressure to balance cost, performance, and security, often with limited resources that delay critical strategic initiatives.

Ep 18: AI has a memory problem, just like you do

In this episode of Masters of Data, we dive into how AI learns, examining both how we teach it and what it derives from human performance, as well as why context plays a crucial role in AI interactions. We break down five key components of AI training and talk about why we should view AI as a tool under human control rather than an autonomous entity. We explore the challenge of maintaining context in AI—much like our own memory struggles—and discuss methods, such as retrieval-augmented generation, that can help AI retain context more effectively.

Datadog GPU Monitoring: Optimize and troubleshoot AI infrastructure

With Datadog GPU Monitoring, engineering and ML teams can monitor GPU fleet health across cloud, on-prem, and GPU-as-a-Service platforms like Coreweave and Lambda Labs. Real-time insights into allocation, utilization, and failure patterns make it easy to spot bottlenecks, eliminate idle GPU spend, and resolve provisioning gaps. By tying usage metrics directly to cost and surfacing hardware and networking issues impacting performance, Datadog helps teams make fast, cost-efficient decisions to keep AI workloads running reliably at scale.

Understanding Microsoft's Latest Zero-Day Vulnerability #patch

Microsoft has identified a zero-day vulnerability in the Windows kernel, rated 7.0 on the CVSS scale. Organizations often misprioritize vulnerabilities, focusing on high-severity scores instead of those actively exploited. Many lower-severity vulnerabilities are chained by attackers. A risk-based approach to vulnerability management is crucial. Current Windows OS versions are affected, and organizations should consider Extended Security Updates to mitigate risks as more zero days are anticipated.