Paritosh-Anand

[default]
region=ap-south-1 
output = json

[profile sm-peer-account]
region = ap-south-1
output = json
role_arn=arn:aws:iam::0000000000:role/my-iam-role
credential_source=Ec2InstanceMetadata or EcsContainer

Paritosh-Anand

import com.atlassian.jira.component.ComponentAccessor
import com.atlassian.jira.issue.IssueFieldConstants
import com.atlassian.jira.issue.fields.IssueLinksSystemField
import com.opensymphony.workflow.InvalidInputException
import webwork.action.ActionContext
 
def fieldManager = ComponentAccessor.getFieldManager()
def linksSystemField = fieldManager.getField("issuelinks") as IssueLinksSystemField
 
def request = ActionContext.getRequest()

Paritosh-Anand

import json
from httplib2 import Http
from oauth2client.client import SignedJwtAssertionCredentials
from apiclient.discovery import build

client_email = "user@manifest-device.iam.gserviceaccount.com"

key_json_file = "<gcp_key_of_the_user>"
private_key = json.loads(open(key_json_file).read())['private_key']

Paritosh-Anand

• pip install confluent_kafka
• brew install librdkafka
• Add krb5.conf in /etc/
• keep keytab file on a known path and replace it with <path_to_keytab>
• replace value of <bootsrap_servers>
• change value of principal user@realm

Paritosh-Anand

from confluent_kafka import Consumer, KafkaError

topics = ['topic_name']

conf = {
  'bootstrap.servers': '<bootsrap_servers>:9092',
  'security.protocol': 'SASL_PLAINTEXT',
  'sasl.kerberos.service.name': 'kafka',
  'sasl.kerberos.keytab': '<path_to_keytab>',
  'sasl.kerberos.kinit.cmd': 'kinit -k -t <path_to_keytab> <principal>',

Paritosh-Anand

from datetime import datetime
from aggregator.tasks import *

n = datetime.strptime("2019-06-20 16:00:00", "%Y-%m-%d %H:%M:%S")
m = datetime.strptime("2019-06-20 17:00:00", "%Y-%m-%d %H:%M:%S")

def datetime_range(start, end, delta): 
  current = start 
  while current < end:
    yield current 

Paritosh-Anand

client = boto3.Session(profile_name='acc_profile').client('route53')

hosted_zone_id = '********'

resp = client.list_resource_record_sets(HostedZoneId=hosted_zone_id)

for i in resp['ResourceRecordSets']:
  print i

Paritosh-Anand

import boto3

instance_id = "i-04aea94******3"

client = boto3.Session(profile_name='default', region_name='ap-south-1').client('ec2')

client.create_image(DryRun=False, InstanceId=instance_id, Name="image_name", Description="description", NoReboot=True)

Paritosh-Anand

import boto3
from pprint import pformat

autoscaling_client = boto3.client("autoscaling")
lb_client = boto3.client("elbv2")
cloudwatch_client = boto3.client("cloudwatch")

for asg_info in ['asg_name_list']:
    p_asg = {}
    up_threshold = 0.02

Paritosh-Anand

Docker: Model for Production.

Web layer: Container

Running both HTTPD and Tomcat service inside a single Docker container. A Docker container essentially runs a single service inside a container, however we can tweak this functionality to run multiple service inside a container using SupervisorD. Creating a Docker image using below steps.

![Sample Docker Container] (https://d2mxuefqeaa7sj.cloudfront.net/s_5E4E5D4E7819918F4A7FFC5AD14BA5406AEE511BEF98A38F756ED666B912BEA8_1469036761891_Screen+Shot+2016-07-20+at+11.15.42+PM.png)

1. Base image: CentOS6.