Hypervisors for Serverless and Edge: Firecracker, Cloud Hypervisor, and QEMU in Production
An in-depth comparison of Firecracker, Cloud Hypervisor, and QEMU covering architecture, performance, use cases, and production patterns for engineers.
An in-depth comparison of Firecracker, Cloud Hypervisor, and QEMU covering architecture, performance, use cases, and production patterns for engineers.
NVIDIA MIG lets you slice a single GPU into multiple isolated instances, each with dedicated memory and compute. This post covers the architecture, Kubernetes integration, and production patterns for deploying MIG in containerized environments.
How to choose gVisor for isolation-heavy container workloads, covering architecture, production patterns, and practical migration steps.
Introduction In an era where data is the lifeblood of individuals, businesses, and entire industries, the way we store and manage that data has become a critical design decision. Drive pooling—the practice of aggregating multiple physical storage devices into a single logical entity—offers a flexible, resilient, and often cost‑effective alternative to traditional, static storage architectures. This article dives deep into the theory, technology, and real‑world application of drive pooling. We will explore: ...
Introduction The term exo‑kernel (sometimes written exo‑kernel or exokernel) refers to a radical approach to operating‑system (OS) design that pushes traditional kernel responsibilities out to user space. Unlike monolithic kernels, which bundle device drivers, file‑system logic, networking stacks, and many other services into a single privileged component, an exo‑kernel provides only the minimal abstractions required for secure resource multiplexing. All higher‑level policies—memory management strategies, file‑system semantics, scheduling algorithms, and even networking protocols—are implemented as user‑level libraries. ...