“First, a brief backstory on the storage situation for Docker since it was open-sourced in early 2013. At that time, Docker relied on a filesystem called AUFS (advanced multi layered unification filesystem). This Union filesystem provided the necessary features to support several of Docker’s main selling points:
– container creation speed
– copy-on-write image->container
“If you are starting to learn Common Lisp, and have already read the chapter about “Cons” from an introductory book (also called cons cells), then you could try the following exercise. How to represent a tree using nothing but conses; and abstract that implementation with functions to create and traverse the tree.
PLEASE NOTE, that if you need to represent trees in a production program you shouldn’t use lists as described here unless you have a good reason. This is only an exercise in understanding how cons cells work…”
“I wish I still had my copy of this: a Harvard Lampoon parody of Life magazine from the ’60s, displaying a picture of a flying saucer and the ominous headline: “UFOs: Threat or Menace?”.
I was reminded of this when reading some recent articles worrying about the slow transition from Python 2 to Python 3, such as Python 3 is Killing Python. The authors of such articles, and Python developers in general, really like Python, and for the most part like Python 3. Their main concern is that the protracted 2-3 straddle will hurt Python’s popularity…”
Python 3: threat or menace?
“In this video, Aravind Narayanan from Facebook first introduces Tupperware and explains how it leverages sandboxes and container technologies. He later talks about how Tupperware integrates with other Facebook services and highlights the lessons they learned while building it…”
“Pflua implements the well-known libpcap packet filtering language, which we call pflang for short.
Unlike other packet filtering toolkits, which tend to use the libpcap library to compile pflang expressions bytecode to be run by the kernel, Pflua is a completely new implementation of pflang…”
“Whenever we are designing a highly scalable architectures on AWS running thousands of application servers and supporting millions of requests, usage of NoSQL solutions have become inevitable part. One such solution we often been using for years on AWS is Redis. We love Redis. AWS introduced ElastiCache Redis on 2013 and we started using the same since it eased the management and operational efforts. In this article i am going to share my experience on designing large scale Redis tiers supporting billions of messages per day on AWS, step by step guide on how to deploy the same, what are the Implications you face at scale ? Best Practices to be adopted while designing sharded+replicated Redis Tiers etc…”