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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Building your AI infra, our tips

Aug 1, 2025 By Canonical Ubuntu In Canonical

Modular architecture: Decouple compute from storage so each can scale independently. This makes it easier to adapt to growing or shifting workloads over time. Future-ready hardware: Select GPUs and CPUs not just for current workloads but with an eye on scalability, including support for newer accelerator types. Scalable design: Ensure the system allows seamless addition of compute nodes or storage without a full redesign.

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When AI Becomes the Judge: Understanding "LLM-as-a-Judge"

Jul 31, 2025 By Alin Dobra In Bunnyshell

Imagine building a chatbot or code generator that not only writes answers - but also grades them. In the past, ensuring AI quality meant recruiting human reviewers or using simple metrics (BLEU, ROUGE) that miss nuance. Today, we can leverage Generative AI itself to evaluate its own work. LLM-as-a-Judge means using one Large Language Model (LLM) - like GPT-4.1 or Claude 4 Sonnet/Opus - to assess the outputs of another. Instead of a human grader, we prompt an LLM to ask questions like "Is this answer correct?" or "Is it on-topic?" and return a score or label. This approach is automated, fast, and surprisingly effective.

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Beyond AI hype: put reliability at the forefront

Jul 31, 2025 By Gremlin In Gremlin

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.

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How Can PR Reviews Get Faster in 2025?

Jul 31, 2025 By GitKraken In GitKraken

Unlock smarter Git workflows with GitLens.

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Are you running AI the smart way?

Jul 31, 2025 By Canonical Ubuntu In Canonical

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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Is on-prem the top choice to run AI?

Jul 31, 2025 By Canonical Ubuntu In Canonical

‎‎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.

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Autoscaling Made Easy with Rancher Cluster API

Jul 31, 2025 By Davide Rutigliano In Rancher

Kubernetes has revolutionized application deployment and management. However, manually adjusting cluster sizes to meet fluctuating workloads, without constantly under- or over-provisioning resources, quickly drains platform teams’ time and energy. While traditional cloud provider autoscaling tools are functional, they often fall short when it comes to truly dynamic, Kubernetes-aware scaling, especially in a world with diverse infrastructure.

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Redgate Flyway

Jul 31, 2025 By Redgate Software In Redgate

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.

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Provision & Deploy Applications in Minutes with Resolve

Jul 31, 2025 By Resolve In Resolve

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.

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Security Compliance Management Scanning in Puppet Enterprise

Jul 31, 2025 By Perforce Puppet In Puppet

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.

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