ashutoshkarna03

# metric creation for the cloudwatch logs
resource "aws_cloudwatch_log_metric_filter" "cloudwatch_filter" {
  name           = "MyLogFilter"
  log_group_name = "/aws/ecs/my-service"
  pattern        = "This text should trigger alarm"
  metric_transformation {
    name      = "MyLogMetric"
    namespace = "MyLogNamespace"
    value     = "1"
  }

ashutoshkarna03

is_NaN = df.isnull()
row_has_NaN = is_NaN.any(axis=1)
rows_with_NaN = df[row_has_NaN]

print(rows_with_NaN)

ashutoshkarna03

console.log('hello')

ashutoshkarna03

# -----------------------------
# PostgreSQL configuration file
# -----------------------------
#
# This file consists of lines of the form:
#
#   name = value
#
# (The "=" is optional.)  Whitespace may be used.  Comments are introduced with
# "#" anywhere on a line.  The complete list of parameter names and allowed

ashutoshkarna03

resource "docker_container" "hello_world_app" {
  image = "hello_world_app:latest"
  name  = "hello_world_app"
  restart = "always"
  volumes {
    container_path  = "/myapp"
    # replace the host_path with full path for your project directory starting from root directory /
    host_path = "/path/to/your/project/directory" 
    read_only = false
  }

ashutoshkarna03

FROM node:10

RUN mkdir /myapp

# Create app directory
WORKDIR /myapp

COPY ./package.json /myapp/package.json
COPY ./package-lock.json /myapp/package-lock.json

ashutoshkarna03

import json
import pandas as pd
import numpy as np
import paramiko
import pysftp


def lambda_handler(event, context):
    # test for pandas
    data = {'name':["Tom", "John", "Andre", "Sam"], 

ashutoshkarna03

#!/bin/bash

export LIB_DIR="python"

rm -rf ${LIB_DIR} && mkdir -p ${LIB_DIR}

docker run --rm -v $(pwd):/foo -w /foo lambci/lambda:build-python3.6 \
    pip install -r requirements.txt -t ${LIB_DIR}

ashutoshkarna03

pandas==1.0.3
paramiko==2.7.1
pysftp==0.2.9

ashutoshkarna03

def get_instance_details(instance_id, client):
    response = client.describe_instances(
        InstanceIds=[
            instance_id,
        ],
    )
    return dict(
        instance_type = response['Reservations'][0]['Instances'][0]['InstanceType'],
        state = response['Reservations'][0]['Instances'][0]['State']['Name'],
    )