dastergon

SRE Practices

Weekly Ops Review
Lunch and Learn
Pre-mortem
Maturity Model
SRE Games
State of the Union 
RACI 
OOPs Meeting

dastergon

A collection of The Morning Paper posts relating to containers, operating systems etc.

In order of first appearance in The Morning Paper.

• On the duality of operating system structures
• Why threads are a bad idea
• Why events are a bad idea
• Unikernels: library operating systems for the cloud
• The scalable commutativity rule: designing scalable software for multicore processors
• Jitsu: just-in time summoning of unikernels

dastergon

In [1]: class One:
   ...:     def __init__(self):
   ...:         self.bw_rate = 1
   ...:

In [2]: class Two:
   ...:     def __init__(self):
   ...:         self.bw_rate = 0
   ...:

dastergon

Studying for a Tech Interview Sucks, so Here's a Cheat Sheet to Help

This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.

Data Structure Basics

Array

Definition:

• Stores data elements based on an sequential, most commonly 0 based, index.
• Based on tuples from set theory.
• They are one of the oldest, most commonly used data structures.

dastergon

SREcon16 Europe - Microsoft Azure SRE - Service Roast Sample

Topics
Service Overview	What is it, who uses it, where does it fit in overall
Technical Architecture	Overview, upstream dependencies, sub-components
Development Process	Source control, external dependencies, build, test, tools
Change Management / Deployment	Process, technology, cadence, gates, rollback
Configuration Management	Process, technology, source control
Demand Forecasting, Capacity Management	How do you shift load, or scale? How do you load test? Can you shed load?

dastergon

Availability Table - Cheat sheet

Availability level	Downtime per year	Downtime per quarter	Downtime per month	Downtime per week	Downtime per day	Downtime per hour
90% ("one nine")	36.5 days	9 days	3 days	16.8 hours	2.4 hours	6 minutes
95%	18.25 days	4.5 days	1.5 days	8.4 hours	1.2 hours	3 minutes
99% ("two-nines")	3.65 days	21.6 hours	7.2 hours	1.68 hours	14.4 minutes	36 seconds
99.50%	1.83 days	10.8 hours	3.6 hours	50.4 minutes	7.20 minutes	18 seconds
99.9%("three nines")	8.76 hours	2.16 hours	43.2 minutes	10.1

dastergon

Internet Scale Services Checklist

A checklist for designing and developing internet scale services, inspired by James Hamilton's 2007 paper "On Desgining and Deploying Internet-Scale Services."

• http://mvdirona.com/jrh/talksandpapers/jamesrh_lisa.pdf

Basic tenets

• Does the design expect failures to happen regularly and handle them gracefully?
• Have we kept things as simple as possible?

dastergon

Keybase proof

I hereby claim:

• I am dastergon on github.
• I am dastergon (https://keybase.io/dastergon) on keybase.
• I have a public key ASCWcL_1JH05ltGCQ6HWe-ZJvFnUN0PwfIz1W-Hm857bEQo

To claim this, I am signing this object:

dastergon

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""dbsnap is a DB snapshot management tool for Amazon RDS.
Demo tool used for educational purposes in http://blog.codebender.cc/2015/12/08/automating-db-snapshots-at-amazon-rds/
"""

from __future__ import print_function

import boto3

dastergon

import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;

public class HttpURLCon {

    private final String USER_AGENT = "Mozilla/5.0";

    public static void main(String[] args) throws Exception {