Django is an excellent open-source full-stack Python web framework with a plethora of ready-to-use libraries. It follows the "Batteries included" philosophy and easily provides almost everything an experienced developer might need to create a scalable website. At Digital Mesh, our qualified Python developers have been using Django for the rapid development of secure and maintainable websites for over 10 successful years now.
Django has been used to build almost any type of website from content management systems (CMS), wikis, to social networks. It can also work with any client-side framework and deliver content in almost all formats like HTML, RSS feeds, JSON, XML, etc.
Serverless Architecture using AWS Lambda and IronWorker
Serverless architecture (also known as Serverless computing and Function-As-A-Service) is a model of cloud computing and a software design pattern where applications are hosted by a third-party service (Backend-As-A-Service). One of the main characteristics of Serverless architecture is that it eliminates the need for server software and hardware management. Applications are broken up into individual functions so that the developer can focus individually on its development, computing and scaling.
AWS Lambda is an event-driven, provision-free serverless computing platform based on functions. Lambda enables you to build reactive and high-scale systems and provides the cloud logic layer for your application. Lambda functions can be directly triggered by a variety of events likes S3, DynamoDB, Kinesis, SNS, and CloudWatch that occur on AWS or on supporting third-party services.
The IronFunctions is a Serverless platform that lets its users to create both synchronous and asynchronous functions. This platform allows developers to build APIs, microservices and combine those together in applications, and also runs them as background jobs.
We have extensive experience with integrating Lambda & Ironworker with Python applications. Get in touch with us to find out more.
Message Queues with Celery and Redis
Celery is a Python based open source asynchronous task queuing software package. It enables the execution of asynchronous computational workloads by driven messages that are produced in application code destined for a Celery task queue. Celery can be best used in conjunction with a storage solution and also for executing repeatable and period/scheduled tasks.
Redis (Remote Dictionary Server) is an open source, in-memory data structure that can be used as a database, cache or message broker. Redis is designed in a way to deliver highest throughput (millions of operations/second) at the lowest latencies (< 1ms) using least system resources.
Contact us to find out how we can assist you with implementing background and scheduled jobs using Celery and Redis.
We are one of the leading Python & Open Source development companies in India. Our team of experienced and skilled Python developers have helped multiple global clients to get the most out of Python. Contact us to find out more.