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cloudwatch-mon-scripts-python's Introduction

cloudwatch-mon-scripts-python

PyPI version

Linux monitoring scripts for the AWS CloudWatch Service.

Initially, this project was created, because the original AWS monitoring scripts lacked support for the eu-central-1 (Frankfurt) region for about 4 months (2014-10-23 to 2015-02-25).

Now, this project has a couple of additional features (compared to v1.1.0 of the original AWS monitoring scripts):

  • Memory monitoring incl. buffers
  • Load monitoring (overall and per CPU core)
  • Monitoring of disk inode usage
  • Process monitoring
  • Fewer dependencies
  • Simpler installation

Requirements

  • Python 2 (>= 2.6) or Python 3 (>= 3.3)
  • Boto >= 2.33.0

Installation

Optionally create a virtual environment and activate it. Then just run pip install cloudwatchmon. Install the scripts in /usr/local/bin folder.

For script usage, run:

mon-put-instance-stats.py --help

Examples

To perform a simple test run without posting data to Amazon CloudWatch:

mon-put-instance-stats.py --mem-util --verify --verbose

Report memory and disk space utilization to Amazon CloudWatch:

mon-put-instance-stats.py --mem-util --disk-space-util --disk-path=/

To get utilization statistics for the last 12 hours:

mon-get-instance-stats.py --recent-hours=12

Configuration

To allow an EC2 instance to read and post metric data to Amazon CloudWatch, this IAM policy is required:

{
  "Statement": [
    {
      "Action": [
        "cloudwatch:ListMetrics",
        "cloudwatch:GetMetricStatistics",
        "cloudwatch:PutMetricData",
        "autoscaling:DescribeAutoScalingInstances"
      ],
      "Effect": "Allow",
      "Resource": "*"
    }
  ]
}

If the policy is configured via an IAM role that is assigned to the EC2 server this script runs on, you're done.

Otherwise you can configure the policy for a user account and export the credentials before running the script:

export AWS_ACCESS_KEY_ID=[Your AWS Access Key ID]
export AWS_SECRET_ACCESS_KEY=[Your AWS Secret Access Key]

Third option is to create a ~/.boto file with this content:

[Credentials]
aws_access_key_id = Your AWS Access Key ID
aws_secret_access_key = Your AWS Secret Access Key

Copyright

Copyright 2015 Oliver Siegmar

Based on Perl-Version of CloudWatch Monitoring Scripts for Linux - Copyright 2013 Amazon.com, Inc. or its affiliates. All Rights Reserved.

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

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cloudwatch-mon-scripts-python's Issues

Does not support ca-central-1

I have tried this in the ca-central-1 region, but it doesn't work. If I run boto.ec2.cloudwatch.regions() then ca-central-1 is not in the list of supported regions.

I have heard that you need boto3 for this, I don't see a boto3 port? I may try to write one if it doesn't exist.

error while run example

use python 3.4 under CentOS 7.3, IAM role setting properly, encounter error while run for example:
[xxxxx ~]$ mon-put-instance-stats.py --mem-util --disk-space-util --disk-path=/
ERROR: Unicode-objects must be encoded before hashing

Is there any significance performance difference by using these scripts instead of the perl scripts

This issue is just a query.
First of all, thanks for these scripts.

These scripts seem very light weight compared to the perl scripts (atleast setting them up).

Is there any performance difference bw the perl and these scripts? May I know what was your motivation for writing these?

I often thought that setting up perl scripts was heavy, too many packages to install, CPU used to always hit 100% on EC2 micro instances.

Thanks

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