Nanthini10

portante

#!/bin/bash

ES_URL='https://localhost:9200'
curl_get='curl -s -X GET --cacert /etc/elasticsearch/secret/admin-ca --cert /etc/elasticsearch/secret/admin-cert --key /etc/elasticsearch/secret/admin-key'

date
$curl_get $ES_URL/_cat/health?v
$curl_get $ES_URL/_cat/allocation?v\&h=node,host,ip,shards,disk.indices,disk.used,disk.avail,disk.total,disk.percent
# See https://www.elastic.co/guide/en/elasticsearch/reference/2.4/cat-nodes.html for header meanings
$curl_get $ES_URL/_cat/nodes?v\&h=name,host,r,m,hc,hp,hm,rc,rp,rm,fdc,fdp,fdm,load,uptime

jamesrajendran

1.Producer
	1.request.required.acks=[0,1,all/-1]  0 no acknowledgement but ver fast, 1 acknowledged after leader commits, all acknowledged after replicated
	
	2.use Async producer	- use callback for the acknowledgement, using property  producer.type=1
	3.Batching data - send multiple messages together.
		batch.num.messages
		queue.buffer.max.ms
	4.Compression for Large files - gzip, snappy supported
		very large files can be stored in shared location and just the file path can be logged by the kafka producer.
		

poolio

abhishekpratapa

# Code for Part 1 of the video series

# Special thanks to Siraj Raval for his excellent work in the community, inspired me to do this

# Special thanks to Andrej Karpathy and his blog-post     "http://karpathy.github.io/neuralnets/"
# Special thanks to iamtrask and his blog-post            "http://iamtrask.github.io/2015/07/12/basic-python-network/"

import math
import random

so0k

Kubectl output options

Let's look at some basic kubectl output options.

Our intention is to list nodes (with their AWS InstanceId) and Pods (sorted by node).

We can start with:

kubectl get no

jarutis

sudo su

# Java
yum -y install java-1.8.0-openjdk-devel

# Build Esentials (minimal)
yum -y install gcc gcc-c++ kernel-devel make automake autoconf swig git unzip libtool binutils

# Extra Packages for Enterprise Linux (EPEL) (for pip, zeromq3)
yum -y install epel-release

leonardofed

A curated list of AWS resources to prepare for the AWS Certifications

A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.

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jaceklaskowski

Things that Sparked My Interest

Agenda

• https://spark-summit.org/2016/schedule/

Links to Review

Grouped by topic

thoolihan

sudo yum -y install epel-release
sudo yum -y install gcc gcc-c++ python-pip python-devel atlas atlas-devel gcc-gfortran openssl-devel libffi-devel
# use pip or pip3 as you prefer for python or python3
pip install --upgrade virtualenv
virtualenv --system-site-packages ~/venvs/tensorflow
source ~/venvs/tensorflow/bin/activate
pip install --upgrade numpy scipy wheel cryptography #optional
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl
# or below if you want gpu, support, but cuda and cudnn are required, see docs for more install instructions
pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.10.0rc0-cp35-cp35m-linux_x86_64.whl