A technical overview and personal notes on Amazon's ECS (EC2 Container Service), explaining its core concepts, workflow, and current state.
A technical guide explaining how to attach a new volume to a running Docker container using nsenter and bind mounts.
A guide to setting up and running Docker containers on Microsoft Azure, covering initial setup, common pitfalls, and management from a Linux host.
Argues for the continued use of Python virtual environments (virtualenv/venv) to isolate projects from system Python packages, even in the age of containers.
A guide to centralizing logs from multiple Docker containers into a single syslog container using bind mounts.
Explains why running SSH servers in Docker containers is bad practice and recommends better alternatives for debugging and management.
A guide to setting up a transparent caching proxy for Docker containers to speed up builds and handle corporate network restrictions.
Explains how to attach to Docker containers after upgrading to version 0.9, which uses libcontainer, by using tools like nsenter or nsinit.
Explains how to resize Docker containers using the Device Mapper storage driver, with notes on outdated methods and modern alternatives.
Guide to setting up a network boot (PXE) server inside a Docker container for easy OS installation and diskless booting.
A guide to managing Python project dependencies within Docker containers, comparing methods like using distro packages and virtualenv.
A technical overview of Flynn, an open-source Platform-as-a-Service (PaaS) built on Docker, covering its architecture and core components.
A guide to securing the Docker API by using SSL certificates and socat for encrypted, authenticated remote connections.
A tutorial on learning Docker by setting it up on an Ubuntu virtual machine in Windows Azure, covering installation and basic container usage.
A guide explaining how to manually configure Docker's network bridge to assign containers IPs from a specific, non-default address range.
Explains how to access and gather CPU, memory, I/O, and network usage metrics from Linux control groups (cgroups) for LXC and Docker containers.
A guide to making Python application deployments less painful, covering tools, best practices, and workflows from a 2013 talk.
