Operations | Monitoring | ITSM | DevOps | Cloud

Disconnected pipelines. Unknown data sources. Costs that do not add up. Many teams struggle to answer a simple question. What data do we have and where is it going? In this clip, a Cribl customer explains how bringing all telemetry data together changed everything. With Cribl, their team can finally see what they collect, where it flows, and what it costs. That clarity unlocked smarter reduction, better routing decisions, and major optimization across security and observability workflows.

Metrics has entered open beta in Sentry! Want to know how often people are using that random control? More data about what the queue depth is or token usage for your last agent call? Metrics is pretty great. In this video, Cody takes us on a tour of getting started using them!

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!

Ever find yourself stuck between unit tests and a full staging environment?

Learn how to design, implement, and manage a robust service delivery process to cater to your customers' IT service needs.

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. 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.

Bringing together a host of traditional and modern powerful test data management capabilities, Redgate Test Data Manager allows users to.

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.

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.