Operations | Monitoring | ITSM | DevOps | Cloud

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.

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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.

Join us for an engaging Rancher live stream hosted by Orlin Vasilev, as we dive into the world of Developer Advocacy—what it really means, why it matters, and how it's evolving in the cloud-native space. Orlin will be joined by two powerhouse guests in the field: Jorge Castro – a community strategist and long-time open source advocate, known for his work with Kubernetes and cloud-native ecosystems. Jorge brings deep insights from years of building developer communities and bridging the gap between engineers and users.

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.