Bharathkumarraju

# Count total EBS based storage in AWS
aws ec2 describe-volumes | jq "[.Volumes[].Size] | add"
# Count total EBS storage with a tag filter
aws ec2 describe-volumes --filters "Name=tag:Name,Values=CloudEndure Volume qjenc" | jq "[.Volumes[].Size] | add"
# Describe instances concisely
aws ec2 describe-instances | jq '[.Reservations | .[] | .Instances | .[] | {InstanceId: .InstanceId, State: .State, SubnetId: .SubnetId, VpcId: .VpcId, Name: (.Tags[]|select(.Key=="Name")|.Value)}]'
# Wait until $instance_id is running and then immediately stop it again
aws ec2 wait instance-running --instance-id $instance_id && aws ec2 stop-instances --instance-id $instance_id

# Get 10th instance in the account

Bharathkumarraju

variable "firebase_admin_token" {
  description = "The token to use to deploy firebase resources."
  type        = string
}

variable "project" {
  description = "The project id to create the app for."
  type        = string
}

Bharathkumarraju

import json
import boto3

def lambda_handler(event, context):
    
    ses = boto3.client('ses')

    body = """
	    Hello and welcome to the SES Lambda Python Demo.
	

Bharathkumarraju

--- # apache_balancer_manager_role do.yml
- name: member_host 
  debug: 
    msg: "member_host {{ member_host }}"

- name: "Get the balancer_manager content"
  uri:
    url: "{{ apache.balancer.url }}"
    follow_redirects: yes
    return_content: yes

Bharathkumarraju

import pulumi
from pulumi_aws import s3
from pulumi import Output, Input, ResourceOptions, ComponentResource, set, get
import time
import json
from pydantic import BaseModel


async def w2():
    """Awaitable simulating output"""

Bharathkumarraju

HTTP tunnel

• https://en.wikipedia.org/wiki/HTTP_tunnel

On prem k8s cluster set up with bastion vm

1. Run the bastion vm in your data center or in cloud with connectivity set up (usually vpn) to the on prem data center.
2. Install tinyproxy on the bastion vm and pick a random port as it would be too easy for spam bot with default 8888, set up as systemd service according to https://nxnjz.net/2019/10/how-to-setup-a-simple-proxy-server-with-tinyproxy-debian-10-buster/. Make sure it works by validating with curl --proxy http://127.0.0.1:<tinyproxy-port> https://httpbin.org/ip. And I don't use any user authentication for proxy, so I locked down the firewall rules with my laptop IP/32.
3. Download the kubeconfig file for the k8s cluster to your laptop
4. From your laptop, run

HTTPS_PROXY=<bastion-external-ip>:<tinyproxy-port> KUBECONFIG=my-kubeconfig kubectl get nodes

Bharathkumarraju

jobs:
  should_run:
    name: should run the next job
    runs-on: ubuntu-latest
    steps:
      - name: check if vb is the commiter
        if: github.event.pusher.name != 'vibou'
        run: exit 1 # the job fails if not vibou
  perform_action:
    name: should run the next job

Bharathkumarraju

module "networking" {
  source              = "../modules/networking"
  environment         = "${var.environment}"
  vpc_cidr            = "${var.vpc_cidr}"
  public_subnet_cidr  = "${var.public_subnet_cidr}"
  private_subnet_cidr = "${var.private_subnet_cidr}"
  region              = "${var.region}"
  availability_zone   = "${var.availability_zone}"
  key_name            = "${var.key_name}"
}

Bharathkumarraju

# dump build stage
FROM postgres:11-alpine as dumper

COPY test_dump.sql /docker-entrypoint-initdb.d/

RUN ["sed", "-i", "s/exec \"$@\"/echo \"skipping...\"/", "/usr/local/bin/docker-entrypoint.sh"]

ENV PG_USER=postgres
ENV PGDATA=/data