The technologies used for automation services can vary depending on the specific needs and the requirements of the project.
Here are some of the technologies we use for our automation services:
Playwright: allows us to automate browser testing across different web browsers.
It is designed to be fast, reliable and easy to use, making it a great option for browser automation.
Appium: an open-source tool for automating mobile apps.
it allows us to write tests for mobile apps using familiar web-development technologies such as Selenium and WebDriver.
It supports a wide range of mobile platforms including Android and iOS.
Selenium: a widely used open-source browser automation framework we use to write
scripts that can automate browser interactions.
Automated Workflows
Celery: a distributed task queue for Python that allows us to run tasks asynchronously.
It can be used to automate tasks such as data processing, sending emails, and running periodic tasks.
RQ (Redis Queue): a simple Python library for queueing jobs and processing them in the background with workers.
It allows for easy integration with Redis that can be used to automate simple tasks.
Airflow: a platform to programmatically author, schedule, and monitor workflows.
It allows us to create complex workflows using Python and execute them in a scheduled manner.
Luigi: a Python library that allows developers to build complex pipelines of batch jobs.
It is designed to handle dependencies between tasks and can be used to automate data processing, data warehousing and ETL jobs.
APScheduler: a lightweight Python library that provides an in-process scheduler for running jobs at
specific intervals.
Scheduled Automation
Simple Scheduled Automation: For simple scheduling tasks, a basic Python library such as Schedule or
APScheduler can be used. These libraries allow developers to schedule functions to be run at specific intervals,
similar to a cron job. They are easy to use and require minimal setup.
Medium Scheduled Automation: For medium-level scheduling tasks,
a more advanced library such as Celery Beat or RQ Scheduler can be used. These libraries provide additional
features such as task prioritization, retries, and failure handling. They may require more setup and configuration,
but they provide more flexibility and control over the scheduling process.
Complex Scheduled Automation: For complex scheduling tasks,
Airflow or Luigi can be used. These frameworks allow developers to create complex workflows and schedule tasks in
a more dynamic and sophisticated way. They may require more setup and configuration, but they provide more control over
the scheduling process and can handle large-scale scheduling tasks.
Robotic Process Automation (RPA)
RPA is built using a combination of several technologies, including:
Artificial Intelligence (AI): AI is used to enable software robots to make decisions,
recognize patterns, and perform actions based on the data they receive.
Software Development: RPA is built using software development technologies such as .NET,
Java, Python, or other programming languages.
User Interfaces (UIs): RPA uses user interfaces (UIs) to interact with digital systems and perform tasks.
Workflow Automation: Workflow automation technologies are used to automate complex processes
and ensure that tasks are performed in the correct order.
Data Management: RPA relies on data management technologies such as databases and data warehouses
to store, process, and retrieve data.
