Python Fabric SSH examples
Python Fabric SSH examples
Here are some Python Fabric SSH examples:
Example 1: Connecting to a remote server
from fabric import Connection, config
config[ 'ssh_config' ][ 'password_keyfile' ] = 'path/to/your/key'
with Connection('user@remote_server_ip', user='username') as c:
output = c.run('ls -lart')
print(output.stdout)
In this example, we connect to a remote server using Fabric's Connection class. We specify the username and IP address of the remote server, as well as the path to our private key file.
Example 2: Running a command on a remote server
from fabric import Connection
with Connection('user@remote_server_ip', user='username') as c:
output = c.run('ls -lart')
print(output.stdout)
In this example, we use the run method to run the ls -lart command on the remote server.
Example 3: Uploading a file to a remote server
from fabric import Connection
with Connection('user@remote_server_ip', user='username') as c:
with open('local_file.txt', 'rb') as f:
output = c.put(f, '/path/to/remote/directory')
print(output.stdout)
In this example, we use the put method to upload a local file named local_file.txt to a remote server at the specified directory.
Example 4: Downloading a file from a remote server
from fabric import Connection
with Connection('user@remote_server_ip', user='username') as c:
output = c.get('/path/to/remote/file.txt', 'local_file.txt')
print(output.stdout)
In this example, we use the get method to download a file named file.txt from a remote server and save it locally with the name local_file.txt.
Example 5: Running multiple commands on a remote server
from fabric import Connection
with Connection('user@remote_server_ip', user='username') as c:
output1 = c.run('ls -lart')
print(output1.stdout)
output2 = c.run('date')
print(output2.stdout)
In this example, we run two commands on the remote server using the run method.
These are just a few examples of what you can do with Fabric and SSH in Python. With these basic operations as foundation, you can create complex deployment scripts to manage your infrastructure.
Microsoft Fabric Python
Microsoft Fabric is an open-source framework designed to simplify the development of scalable and resilient cloud-native applications. It provides a set of libraries and tools that can help developers create highly available and fault-tolerant systems. In this context, I will provide information about Microsoft Fabric Python.
Microsoft Fabric Python is a Python implementation of the Microsoft Fabric framework. It enables developers to create scalable and resilient applications using Python as their primary language. This implementation provides a set of libraries and tools that can help simplify the development process.
Here are some key features of Microsoft Fabric Python:
Distributed Systems: Microsoft Fabric Python allows developers to create distributed systems that can scale horizontally and vertically, ensuring high availability and fault tolerance. Service Discovery: The framework provides a service discovery mechanism that enables applications to find and communicate with each other seamlessly. Load Balancing: Load balancing is an essential aspect of scalability, and Microsoft Fabric Python includes built-in load balancing capabilities that distribute traffic efficiently across multiple nodes. Failover and Recovery: In the event of node failure or high availability requirements, the framework provides automated failover and recovery mechanisms to ensure minimal disruption to application services. Distributed Transactions: Microsoft Fabric Python supports distributed transactions, allowing developers to create highly available and consistent applications that can handle complex scenarios.Benefits of using Microsoft Fabric Python:
Simplified Development: The framework simplifies the development process by providing a set of libraries and tools that abstract away low-level details. Improved Scalability: Microsoft Fabric Python enables developers to create scalable systems that can adapt to changing demands and requirements. Enhanced Reliability: The framework's built-in load balancing, failover, and recovery mechanisms ensure high availability and minimize the risk of service disruptions. Faster Deployment: With Microsoft Fabric Python, developers can deploy applications quickly and efficiently, reducing the time-to-market for new services.Microsoft Fabric Python is particularly suitable for developing cloud-native applications that require scalability, reliability, and high availability. The framework's simplicity, flexibility, and performance make it an attractive choice for organizations looking to create robust and scalable systems.
In summary, Microsoft Fabric Python is a powerful open-source framework that simplifies the development of scalable and resilient cloud-native applications using Python. Its features, benefits, and use cases make it an excellent choice for organizations seeking to build robust and efficient distributed systems.
