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On March 24, 2026, the AI open-source ecosystem was impacted by a critical supply chain attack involving the widely used Python package LiteLLM. Attackers compromised the LiteLLM PyPI distribution pipeline and published malicious versions (notably in the 1.82.7-1.82.8 range), embedding a multi-stage payload designed to steal credentials and execute remote code.

For the past few years, the narrative around Artificial Intelligence has been dominated by what I like to call the "magic box" illusion. We assumed that deploying AI simply meant passing a user’s question through an API key to a Large Language Model (LLM) and waiting for a brilliant answer.

The wrong people got the most attention from Jensen Huang’s comments last week. Huang told the All-In Podcast that he’d be “deeply alarmed” if a $500,000 engineer consumed less than $250,000 in AI tokens annually. Within 48 hours, the discourse collapsed into a compensation debate.

VPC peering can be simple and cost-effective in smaller setups. For growing multi-account platforms, Transit Gateway can offer predictable structure and centralized governance. But that’s not all. AWS VPC peering connects two VPCs directly with no hourly fee — simple and cost-effective at small scale, but it creates an unmanageable mesh as your VPC count grows.

The best QA engineers are always asking themselves (and others around them) what might break. When engineering teams shifted to agile delivery, that mindset largely moved out of dedicated roles and into the background. Automated testing took over the repetitive work, developers owned quality end-to-end, and velocity improved. What didn't carry over was the habit of looking at a feature and asking how a real user, an edge case, or unexpected load might expose it.

Organizations starting AWS Migration Acceleration Program (MAP) Phase 1 face a tooling choice. Which assessment platform should they use? Most start with AWS Transform. It is built by AWS. It produces migration cost estimates, instance recommendations, and agentic execution for VMware, .NET, mainframe, and other workloads. This is half the picture.

While GPUs remain among NVIDIA's flagship products, they also offer a range of other compute products beyond the dedicated graphics cards for which they are known. If you are unfamiliar with the words DGX or HGX, this blog is for you. Throughout this blog, we will cover what these terms mean in practice and when you should be using them.