This is an honest comparison from someone who runs GPU containers in production daily. Both Docker and Podman are excellent container runtimes. But for AI/ML infrastructure in 2026, Docker has pulled ahead in ways that matter if you're building inference services, training pipelines, or agentic AI workflows. I maintain keda-gpu-scaler (GPU autoscaling for KEDA), otel-gpu-receiver (GPU observabili…
On April 29th CVE-2026-31431 was publicly disclosed at https://copy.fail/. This vulnerability allows a local unprivileged user to obtain a root shell by running the Python script shared by the author.
This exploit can be used to exploit Linux containers, which are widely used to run all sorts of things: public-facing services, development environments, continuous integration jobs, etc. A containe…
Microservices have been gaining steady popularity since the cloud uprising. Companies like Amazon and Netflix are using cloud platforms to deliver their most in-demand services. Containers sit at the core of such cloud-native applications. A container is an isolated environment that facilitates microservices and offers benefits like superior scaling and rapid deployment. There’s a huge […] The po…
