Operations | Monitoring | ITSM | DevOps | Cloud

In this session Jason and Nelson provide a walkthrough of Security Compliance Enforcement (SCM) scanning in Puppet Enterprise, emphasizing its seamless integration and ability to check compliance against CIS benchmarks. It highlights the compliance dashboard, which offers immediate insights into security status and supports scanning for up to a hundred thousand nodes.

Automate end-to-end application provisioning with Resolve Actions. In this demo, we walk through how Resolve automates the entire process of provisioning virtual machines (VMs) and deploying applications—starting from a simple request form, all the way to fully configured and monitored servers. You'll see how Resolve.

Redgate Flyway extends DevOps practices to your databases to speed up software delivery while keeping business-critical data safe. From version control to continuous delivery, Redgate Flyway helps individuals, teams, and enterprises build on application delivery processes to automate database development and deployments.

‎‎Subscribe. Fuel your curiosity. In this episode, we break down what we’ve learned from teams running AI at scale, and why on-premises infrastructure is making a strong comeback. We’re seeing a shift: performance, cost control, data sovereignty, and platform flexibility are driving conversations about on-prem strategies for AI. No one-size-fits-all answers, but if you’re building or scaling AI, this might help you think a few steps ahead.

Data locality: AI models often rely on large datasets. Locating compute close to the data reduces transfer times and improves training performance. Latency sensitivity: Real-time AI applications, like recommendation systems or edge analytics, depend on low-latency environments. This can be more easily tuned in private or hybrid setups. Hardware specialization: Some AI workloads benefit from custom hardware like GPUs or TPUs. Private cloud allows more control over this, while public cloud offers broader access but less customization.

Unlock smarter Git workflows with GitLens.

Reliability is a constant for every technology, whether it’s cloud, microservices, or AI. Full transcript:  Just a few years ago everybody was screaming about microservices, "That's the wave of the future," and now everybody's looking at AI. No matter what the change in technology hot topic is, your reliability should still be at the forefront of everything that you're doing.

In this webinar snippet, we break down why GPUs are the hidden engine driving today’s AI revolution. Discover how parallel processing (like a kitchen full of chefs!) enables lightning-fast neural networks, transformers, and machine learning and why GPUs shifted from graphics to becoming AI’s indispensable powerhouse.