KiviDB is a fast, multi-threaded alternative to Redis® and Valkey, written in Rust. It speaks the Redis protocol (RESP2 and RESP3), so existing Redis clients, redis-cli and libraries work unchanged, and it has full-text and vector search built in. It runs every core on a sharded in-memory key-value design, and persists to snapshots and an optional append-only file.

SPACE (Sandboxed Platform for Agentic Code Execution) is a sandbox platform for running code in isolated Firecracker microVMs. Applications use its HTTP API to create Linux environments, execute commands, collect output, and manage sandbox lifecycles.

Use SPACE when your application needs a separate execution environment for an agent, a user workspace, or a code-running job. Your application decides what to run and what results to keep; SPACE manages the sandbox, its processes, and the connection carrying command output.

A small Go heap does not always mean low container memory usage. The heap shares the container's memory limit with goroutine stacks, runtime metadata, cgo allocations, and memory mapped directly from the operating system. Linux can kill a Go process even when its heap looks healthy.

A Wi-Fi toggle took an IAP tunnel almost three minutes to recover. Why the relay reconnect stalls, and what close codes 4033, 4003 and 4047 mean.

Google says to verify the RDP thumbprint from serial port 1. On a real VM it was gone. How the password reaches you, what CredSSP protects, and the errors in between.

Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server, or Docker.

difit is a CLI tool that lets you view and review local git diffs with a GitHub-style viewer. In addition to clean visuals, comments can be copied as prompts for AI. The local code review tool for the AI era!

PaperPilot is a PDF and document toolkit written in Rust.

The project is called Modelplane. It lets a platform team turn a pile of accelerators (across clouds, neoclouds, and on-premise) into one fleet. It also lets the ML teams they support deploy a model and get a stable, OpenAI-compatible endpoint without thinking about where it runs.

This article is the architecture I'd build to get from 2 to 25 regions without that fear: a GitOps-first model where each region is an independent, self-healing control loop, deployments are declarative commits, and rollback is a git revert scoped to exactly one region — fully isolated from every other.

It became crystal clear that the only way to get real savings was to resize everything, all at once, cluster by cluster, automatically.

We're Dodo Payments, a payment and billing infrastructure company. We process real money for businesses across multiple countries. That means PCI DSS compliance isn't optional - it's existential. And PCI requires something we didn't have: a complete, auditable trail of every change to our production environment.

We built a working prototype of Apache Kafka distributed across three independent Kubernetes clusters using Strimzi, Submariner, and Cilium, achieving zero-downtime failover when an entire cluster goes down.