The Custodian Mac OS

In this article, we will go through a brief tutorial of Cloud Custodian and how to install and use it. We will also learn why is it needed and the positive points that it provides in the Cloud Environment. We will also have a look at some sample policies and learn how to write policies for various purposes in the AWS environment. I am writing this article since there are not many articles on the web which explains Cloud Custodian end to end, I would love to share my learnings.

The Custodian Mac Os X

Why Cloud Custodian?

We hear a lot about everything moving to Cloud nowadays, and as a result, Cloud has become very powerful. But as it is said:

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'With great power comes great responsibility'

We have to have some way in which we monitor and secure our Cloud resources. Cloud Custodian is a savior in this situation. It is an open source tool to help developers and companies to secure and manage their resources in the public cloud AWS environment.

Installation:

The Custodian Mac Os X

To install Cloud Custodian go through the following steps:

# Next step is to install AWS CLI:

# Test if the AWS CLI has been installed properly with the command:

# We need some AWS setups:

1. We need to create IAM roles with appropriate permissions

2. You will have to edit your trust relationship for the role to incorporate the lambda function.

Sample Policies:

Every policy targets a particular resource type (like EC2, S3, etc). They are a bunch of YAML files. To run a policy, just write it in a YAML file and just run it.

Example Policy #1: This policy (publicIPCron.yml) will stop the EC2 instances when it finds the Public IPs after every 1 minute, as we will be executing a cron job.

Here, There are different tags in the policy file (.yaml) such as:

• name - It's the name of the policy.
• resource - This tag contains the AWS resource that will be affected by running the policy.
• mode - It specifies the mode in which the policy will be run such as periodic. It also has a role tag which needs to be an AWS role configured with required permissions.
• filters - We can specify the filters on which the operation needs to be performed such as checking some tag is present or not, and take appropriate action on that resource that satisfies the filter.
• actions - These are the actions to be performed on the resource once the filters are satisfied.

When we run this policy, a Lambda function will be automatically created, also a CloudWatch rule is created which will run periodically. Super chonk ball mac os.

Lambda function created:

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Note: We can have various types of policies like:

1. Checking periodically if the EC2 instance has a public IP associated with it.
2. Checking at a state change of EC2 instance, if a particular tag is present in the EC2 instance.
3. Auto tagging the owner tag to an EC2 instance.
4. Checking if the EBS volume is encrypted or not.
5. Sending a mail to the stakeholders if the state changes of any instance.

Note: We can get to know the actions and filters associated with any AWS resource using the schema command. This command helps in writing the policies.

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Executing the Cloud Custodian policies:

Command line Output after executing the policy:

Resources:

Videos:

Some sample policies that I wrote:

Conclusion:

It is important to perform some guard railing around the AWS resources so that they are secure from improper modifications and helping protect the resources from outside world in the public cloud environment. Hence, Cloud Custodian helps us do that in an easy to use and implement way.

How to install custodian

1. Download and install ActivePython
2. Open Command Prompt
3. Type pypm install custodian

Custodian is a simple, robust and flexible just-in-time (JIT) job managementframework written in Python. Using custodian, you can create wrappers thatperform error checking, job management and error recovery. It has a simpleplugin framework that allows you to develop specific job management workflowsfor different applications.

Error recovery is an important aspect of many high-throughput projects thatgenerate data on a large scale. When you are running on the order of hundredsof thousands of jobs, even an error-rate of 1% would mean thousands of erroredjobs that would be impossible to deal with on a case-by-case basis.

The specific use case for custodian is for long running jobs, with potentiallyrandom errors. For example, there may be a script that takes several days torun on a server, with a 1% chance of some IO error causing the job to fail.Using custodian, one can develop a mechanism to gracefully recover from theerror, and potentially restart the job if necessary.

Getting custodian

Stable version

The version at the Python Package Index (PyPI) is always the latest stablerelease that will be hopefully, be relatively bug-free. The easiest way toinstall custodian on any system is to use easy_install or pip, as follows:

or:

Some plugins (e.g., vasp management) require additional setup (please seepymatgen's documentation).

Developmental version

The bleeding edge developmental version is at the custodian's Github repo. The developmentalversion is likely to be more buggy, but may contain new features. TheGithub version include test files as well for complete unit testing. Aftercloning the source, you can type:

or to install the package in developmental mode:

Requirements

Custodian requires Python 2.7+. There are no other required dependencies.

Optional dependencies

Optional libraries that are required if you need certain features:

1. pymatgen 2.6.2+: To use the plugin for VASP. Please install using:

   For more information, please consult pymatgen's documentation.

2. nose - For complete unittesting.

Usage

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Please refer to the official custodian docs for details on how to usecustodian.

How to cite custodian

If you use custodian in your research, especially the VASP component, pleaseconsider citing the following work:

Shyue Ping Ong, William Davidson Richards, Anubhav Jain, Geoffroy Hautier,Michael Kocher, Shreyas Cholia, Dan Gunter, Vincent Chevrier, Kristin A.Persson, Gerbrand Ceder. Python Materials Genomics (pymatgen) : A Robust,Open-Source Python Library for Materials Analysis. ComputationalMaterials Science, 2013, 68, 314–319. doi:10.1016/j.commatsci.2012.10.028

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License

Custodian is released under the MIT License. The terms of the license are asfollows: