Operations | Monitoring | ITSM | DevOps | Cloud

How Diffusion Transformer Models Power Hyper-Realistic AI Avatar Videos

The AI avatar videos from a year ago still had a tell. The mouth movement was a little off, the facial expressions were a bit stiff. It was a quality that made it obvious that you were looking at a digital human and not a real one. The uncanny valley issue was not a small aesthetic problem, it was the only thing that stopped the practical adoption of anything other than novelty use cases.

Run Local LLMs on Mac to Cut Claude Costs

Part of the motivation for this post is how cloud API economics are shifting: Anthropic is moving large enterprise customers toward per-token, usage-based billing (unbundled from flat seat fees), which makes “always call the API” a moving cost line for teams at scale. A hybrid or local layer is one way to keep spend bounded while you still use premium models where they matter.

AI for Incident Response: Should You Build or Buy?

SREs and platform teams are overwhelmed by the effort of manually troubleshooting ever-more complex cloud-native environments. This pain is driving a breakneck adoption of AI SRE solutions that promise to automate core reliability practices, from root cause analysis to capacity planning. For teams with strong engineering talent, creating a DIY AI SRE seems like a straightforward challenge.

Introducing Ubuntu 26.04 LTS | Resolute Raccoon

Ubuntu 26.04 LTS, codenamed, is now available to download. Resolute Raccoon builds on the resilience-focused improvements introduced in interim releases, with TPM-backed full-disk encryption, improved support for application permission prompting, Livepatch updates for Arm-based servers, and Rust-based utilities for enhanced memory safety. This release also brings native support for industry-leading AI/ML toolkits like NVIDIA CUDA and AMD ROCm, making Ubuntu 26.04 LTS the ideal platform for AI development and production workloads.

AI agents are only as smart as the data you feed it

AI is only as useful as the context you give it. An autonomous observability agent can unlock serious value from your telemetry, but only when the foundation is right: good telemetry, a strong data layer, and efficient access to the data. Annie Freeman and Lewis Isaac had a lot to say about this at AWS Summit London this week! hashtag#Observability hashtag#AI hashtag#AWSSummitLondon hashtag#DevOps hashtag#OpenTelemetry.

Why Mandating AI Tools Backfires on Engineering Teams

Responsible AI adoption for engineering teams starts with culture, not compliance. In this GitKon talk, Rizel Scarlett (Tech Lead of Open Source DevRel at Block) shares how Block helped thousands of engineers actually want to use AI tools, including Goose, Cursor, Claude Code, and more, without mandates, vibe coding disasters, or security gaps.

Rootly's Dan Sadler: why AI coding tools are driving more incidents + why reliability is the product

Cortex co-founder and CTO Ganesh Datta sits down with Dan Sadler, VP of Engineering at Rootly. Dan explains how Rootly treats reliability as a product feature rather than just a technical metric, and why culture might be the most impactful element of building reliable systems.

Voices You Can't Trust: Securing K-12 Communications Against AI Deepfake Threats

It starts with a voice you recognize. A call from the superintendent asking for an urgent update. A voicemail from a principal requesting sensitive student information. A message that sounds authentic, because it is, at least on the surface. The tone, cadence, and even the subtle inflections are exactly right. But the request isn’t. AI-powered deepfakes are rapidly reshaping the threat landscape for K–12 schools, turning trusted communication channels into potential points of vulnerability.