NileshGule

deploy metrics server

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml

edit metrics server deployment by adding command

nikkaroraa

AWS Monitoring

Why monitoring is important?

• Once our applications are deployed, our users don't care how we did it
• Our users only care that the application is working or not
  • Application latency: will it increase over time?
  • Application outages: customer experience should not be degraded

Monitoring in AWS

ausfestivus

List of Azure Regions

A list of all the region names and locations for Azure

Creating the list

You can recreate the list anytime using this command:

az account list-locations -o table

ScottJWalter

sudo add-apt-repository ppa:mc3man/trusty-media
sudo apt-get update
sudo apt-get dist-upgrade
sudo apt-get install ffmpeg

spandanb

#Original Author https://raw.githubusercontent.com/kgoedecke/python-ecs-example/master/python_ecs_example/deployment.py
import boto3
import pprint
import os

# Credentials & Region
access_key = os.environ["AWS_ACCESS_KEY_ID"]
secret_key = os.environ["AWS_SECRET_ACCESS_KEY"]
region = "us-east-1"

Sap333

#!/usr/bin/python3
# It is for Python3 but may work for modern 2.x versions as well.

import os, signal, atexit

# Signletone which is made as a class with static methods.
# The "init()" method must be called before any child process are created.
# "killAllChildrenOnce" or "killAllChildren" methods could be called 
# any time to kill all child processes.
#   Creates a new process group during initialization and uses it to send

fspaolo

Simple parallelization using mpi4py

For basic applications, MPI is as easy to use as any other message-passing system. The sample scripts below contain the complete communications skeleton for a data (or embarrassingly) parallel problem using the mpi4py package.

Within the code is a description of the few functions needed to write typical parallel applications.

mpi-submit.py - Parallel application with simple partitioning: unbalanced load.

mpi-submit2.py - Parallel application with master/slave scheme: dynamically balanced load.