sharath k sharatthk

Resources

KUBERNETES CLUSTER

local https://github.com/kubernetes-sigs/kind (or just use minikube if it works for you)
cloud https://cloud.google.com/kubernetes-engine (for PersistentVolume and Ingress, I needed to try the real deal)
practice environment: https://github.com/arush-sal/cka-practice-environment

PRACTICE

Install raspbian, set up your users however you would like, so long as you have sudo access on the user you are running this with. You probably want to resize the image so it fills the SD card as well.

Copy this entire gist to your raspberry pi
Do chmod +x step1.sh step2.sh iptables.sh in the gist folder (so that
Run step1.sh a) This script does a few things - it first updates your raspberry pi, then it installs a few needed utilities, then it upgrades the firmware on your raspberry pi

Spark Tips & Tricks

Misc. Tips & Tricks

If values are integers in [0, 255], Parquet will automatically compress to use 1 byte unsigned integers, thus decreasing the size of saved DataFrame by a factor of 8.
Partition DataFrames to have evenly-distributed, ~128MB partition sizes (empirical finding). Always err on the higher side w.r.t. number of partitions.
Pay particular attention to the number of partitions when using flatMap, especially if the following operation will result in high memory usage. The flatMap op usually results in a DataFrame with a [much] larger number of rows, yet the number of partitions will remain the same. Thus, if a subsequent op causes a large expansion of memory usage (i.e. converting a DataFrame of indices to a DataFrame of large Vectors), the memory usage per partition may become too high. In this case, it is beneficial to repartition the output of flatMap to a number of partitions that will safely allow for appropriate partition memory sizes, based upon the

#A curated list of great resources for the job search

The Salary Spreadsheet

###General Advice:

How to ace an algorithms interview
The Coding Interview
List of great resources on resumes, negotiations, and more
I'm a huge believer in the ability of good questions to change the tenor of an interview.
How to interview your interviewers

On master and nodes

Pull images form internet access laptop

docker pull gcr.io/google_containers/kube-apiserver-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-controller-manager-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-proxy-amd64:v1.5.0
docker pull gcr.io/google_containers/kube-scheduler-amd64:v1.5.0
docker pull weaveworks/weave-npc:1.8.2
docker pull weaveworks/weave-kube:1.8.2

Abstraction Suggestions

Summary: use good/established messaging patterns like Enterprise Integration Patterns. Don't make up your own. Don't expose transport implementation details to your application.

Broker

As much as possible, I prefer to hide Rabbit's implementation details from my application. In .Net we have a Broker abstraction that can communicate through a lot of different transports (rabbit just happens to be our preferred one). The broker allows us to expose a very simple API which is basically:

publish
request
start/stop subscription

Frontend Technical Interview Prep

EDIT: Well this has been linked now so just an FYI this is still TBD. Feel free to comment if you have suggestions for improvements. Also here is an unrolled Twitter thread of a lot of the tips I talk about on here.

I've been doing frontend for a while now and one thing that really gripes me is the interview. I think the breadth of knowledge of a "Frontend Engineer" has been so poorly defined that people really just expected you to know everything. Many companies have made this a hybrid role. The Web is massive and there are many MANY things to know. Some of these things are just facts that you learn and others are things you really have to understand.

Every time I interview, I go over the same stuff. I wanted to create a gist of the TL;DR things that would jog my memory and hopefully yours too.

Lots of these things are real things I've been asked that caught me off guard. It's nice to have something you ca

Working With Github Pages

The FAQ maintained by Github covers most stumbling blocks, some other tips and tricks supplied here.

Gitignore

Add _site to .gitignore. The generated site should not be uploaded to Github since its gets generated by github.


	Unicode table - List of most common Unicode characters *
	* This summary list contains about 2000 characters for most common ocidental/latin languages and most printable symbols but not chinese, japanese, arab, archaic and some unprintable.
	Contains character codes in HEX (hexadecimal), decimal number, name/description and corresponding printable symbol.
	What is Unicode?

	Unicode is a standard created to define letters of all languages and characters such as punctuation and technical symbols. Today, UNICODE (UTF-8) is the most used character set encoding (used by almost 70% of websites, in 2013). The second most used character set is ISO-8859-1 (about 20% of websites), but this old encoding format is being replaced by Unicode.
	How to identify the Unicode number for a character?

	Type or paste a character: