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Python In Devops Fields

Sebastien Legrand Ngembou's photo
Sebastien Legrand Ngembou
·

3 min read

Python is a highly versatile and widely-used language in the DevOps field due to its simplicity, readability, and extensive library support. It plays a crucial role in automating and optimizing various DevOps processes, such as continuous integration and deployment (CI/CD), infrastructure provisioning, configuration management, and cloud automation.

  1. Automation: Python is excellent for scripting and automating repetitive tasks, which is a core component of DevOps. It integrates well with DevOps tools, making the software development lifecycle faster and more reliable.

  2. Infrastructure as Code (IaC): Python supports IaC by working with tools like Ansible and Terraform, allowing for automated server configuration and deployment.

  3. Cloud Automation: Python, with libraries like Boto3, is used for automating cloud services on platforms like AWS, enabling tasks such as launching virtual machines and managing cloud storage.

  4. Monitoring and Operations: Python scripts can be used to create custom monitoring solutions and automate daily operations, enhancing the reliability and stability of software applications.

  5. CI/CD Pipelines: Python is often used in CI/CD pipelines to automate testing, deployment, and other custom tasks, reducing manual intervention and increasing efficiency.

Boto3 is the Amazon Web Services (AWS) SDK for Python, which allows developers to create, configure, and manage AWS services such as Amazon EC2, Amazon S3, and Amazon DynamoDB. It provides both an object-oriented API and low-level access to AWS services, making it easy to integrate Python applications with AWS.

Boto3 offers two levels of APIs:

  1. Client APIs: These provide one-to-one mappings to the underlying HTTP API operations, allowing for detailed control over AWS services.

  2. Resource APIs: These abstract the network calls and provide resource objects and collections to access attributes and perform actions, simplifying the interaction with AWS services.

If you need to communicate with Azure or Google Cloud, there are differents libraries specific to that cloud which you can use.

Before using Boto3, you need to set up authentication credential for your AWS account. The library provides an object-oriented API as well as low-level access to AWS services:

ec2_client = boto3.client(‘ec2‘, region_name=”us-east-1”)

ec2_ressource = boto3.ressource(‘ec2‘, region_name=”us-east-1”).

Python can also be used for insfrastructure provisioning, but Terraform is much better for this use case.

Python is realy handfull for automation task. We did a couple of projects:

  • EC2 Status Checks,

  • Scheduling Status Checks: To get live updates of the status checks we need as a s*cheduler*, that triggers the program automaticatlly

  • Add Tags to EC2 instances,

  • Cluster information : if you have 10s or 100s clusters to manage, you can write script that gives you all cluster infomation

  • Data Backup

  • Automate Snapshot Cleanup and Restoring Ec2 volumes

  • Website Monitoring

Here is a very usefull link of a python for devops series :

https://www.youtube.com/watch?v=H21U4jX_SLQ&list=PLdpzxOOAlwvKwTyYNJCUwGPvql0TrsPgv

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