MIT
Install flask and requests to run this example.
import tweepy #https://github.com/tweepy/tweepy | |
import csv | |
#Twitter API credentials | |
consumer_key = "" | |
consumer_secret = "" | |
access_key = "" | |
access_secret = "" | |
#!/usr/bin/env bash | |
# This script is meant to build and compile every protocolbuffer for each | |
# service declared in this repository (as defined by sub-directories). | |
# It compiles using docker containers based on Namely's protoc image | |
# seen here: https://github.com/namely/docker-protoc | |
set -e | |
REPOPATH=${REPOPATH-/opt/protolangs} | |
CURRENT_BRANCH=${CIRCLE_BRANCH-"branch-not-available"} |
# Go parameters | |
GOCMD=go | |
GOBUILD=$(GOCMD) build | |
GOCLEAN=$(GOCMD) clean | |
GOTEST=$(GOCMD) test | |
GOGET=$(GOCMD) get | |
BINARY_NAME=mybinary | |
BINARY_UNIX=$(BINARY_NAME)_unix |
Unfortunately as of writing this (Oct 18, 2017) there is no built in integration for multiple target groups per AWS ECS service. Here are a few things you can try:
""" | |
AWS ECS django settings | |
""" | |
import requests | |
from .settings import * # may look different for your project | |
def get_ecs_task_ips(): | |
""" |
--- | |
apiVersion: v1 | |
data: | |
elasticsearch.yml: |- | |
cluster.name: elasticsearch | |
node.data: ${NODE_DATA:true} | |
node.master: ${NODE_MASTER:true} | |
node.ingest: ${NODE_INGEST:true} | |
node.name: ${HOSTNAME} |
all-pods() { | |
FZF_DEFAULT_COMMAND=' | |
(echo CONTEXT NAMESPACE NAME READY STATUS RESTARTS AGE | |
for context in $(kubectl config get-contexts --no-headers -o name | sort); do | |
kubectl get pods --all-namespaces --no-headers --context "$context" | sed "s/^/${context%-context} /" | |
done) 2> /dev/null | column -t | |
' fzf --info=inline --layout=reverse --header-lines=1 --border \ | |
--prompt 'all-pods> ' \ | |
--header $'╱ Enter (kubectl exec) ╱ CTRL-O (open log in editor) ╱ CTRL-R (reload) ╱\n\n' \ | |
--bind ctrl-/:toggle-preview \ |