Peterlog

  1. Fabric Automation

    Occasionally I have to do scripting work outside of our config management tool of choice, Juju 1 - eg. for bootstrapping or one-off jobs. I had used Fabric version 1 previously (as well as Plumbum) for those, and was looking at Fabric 2 (respectively it's sidekick Invoke) now.

    So whats Fabric …

  2. Thespian, A Python Actor System

    Overview: Concurrency with Actors

    Actor systems model concurrency with actors. In such a system, actors are independent objects that communicate asynchronously with each other via message passing.

    An actor can:

    • Receive and send messages asynchronously

    • Change private state

    • Create new actors

    Each actor has an address under which it can …

  3. Requests debugging

    TIL that the Python requests library is able to dump request/response details to the debug log - quite useful for development and debugging of http clients.

    Switch it on with something like this:

    import requests
import logging
try: # for Python 3
    from http.client import HTTPConnection
except ImportError:
    from httplib …

  4. Neutronic Security

    Or: digging into Openstack Neutrons' packet filtering bowels

    The other day I had to track down weird behaviour with Neutron security groups in one of our clouds, and thought to share notes on debugging those and on Neutron networking in general 1.

    Compute node neutronics

    Recall that on a compute …

  5. Ceph Cheatsheet

    I love Ceph to pieces! I don't love it's docs that much though, and I find the multi-level subcommands unintuitive at times. Quick, is it "ceph pg query x.y" or "ceph pg x.y query"? There's some good docs out there, but to me they feel scattered and it's …

  6. Clojure: Functional

    By peter

    It's been awhile, but finally I've found some time to play with Clojure again.

    Now on for some more functional programming techniques: partials, closures, higher order functions, and so on.

    Recap: composite types as functions

    Composite types can be used as functions of their elements, I wrote about this previously …

  7. Clojure: Set for a Lazy Life

    By peter

    I'm now reaching Pt. III of "The Joy of Clojure". The first part is about immutability and lazy evaluation.

    Recap: Benefits of Immutability

    Values are set in constructors and don't change thereafter. Makes it easier to debug and reason about programs. Implementing invariants is easier: invariants only need to be …

  8. Clojure: Collecting things

    By peter

    Last time I've explored scalar data types. There are a lot of details to discover there, but on the whole that was dry stuff.

    Now for something a bit more complex: collection data types (putting the List in Lisp).

    Persistence and Terminology

    Immutable sequences are called persistent in The Book …

  9. Logstash

    By peter

    When I was a System Integrator in Zug, I really learned to love log files. Indispensable for troubleshooting; and over time you learned to visualize the internal state of the trading programs just by looking at the traces.

    However, most of those logs were local. The most critical log messages …

  10. Clojure: Scale those scalars

    By peter

    Now for some more details on fundamental data types. The fourth chapter of "The Joy of Clojure" 2nd ed. deals with some scalar data type topics. I'll cover integer overflow, keywords, symbols, metadata, regular expressions, and others.

    Overflow and Promotion

    By default, we get Longs:

    user> (def regular 23)
#'user …

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