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How do I profile django application using django web profiler

Posted On 23 June 2018 By MicroPyramid

When working with a large scale applications which includes many modules, we need to focus on the performance to give more user statisfaction, sustainability. To improve the performance, we need to analyze the application in various cases for ex: examine all urls with their response time and status codes, no of database queries with time for a particural url.
In that case, django-web-profiler will be very helpful for your application. It'll records the application urls with data.

Multifactor Authentication with Django MFA using Google Authenticator

Posted On 07 September 2016 By MicroPyramid

Use Django Multi-Factor Authentication method to verify user identity with more than one authentication methods. It can be used for user login, any transactional methods etc.

Celery Flower to monitor task queue

Posted On 14 April 2016 By MicroPyramid

Celery is a task queue that is to built an asynchronous message passing system. It can be used as a bucket where programming tasks can be dumped. The program that passed the task can continue to execute and function responsively.

To monitor the status of these celery tasks we use celery flower

The Celery Flower is a tool for monitoring your celery tasks and workers. It's web based and allows you to see task progress, details, worker status.

Check test coverage in Django code with Coveralls

Posted On 13 February 2016 By MicroPyramid

Coverage: It is a tool used for measuring the effectiveness of tests, showing the percentage of your codebase covered by tests.
Test Coverage is an important indicator of software quality and an essential part of software maintenance. It helps in evaluating the effectiveness of testing by providing data on different coverage items. It is a useful tool for finding untested parts of a code base. Test coverage is also called code coverage in certain cases.

Full text search in mongodb

Posted On 21 May 2015 By MicroPyramid

Full text search is a custom implementation created by the MongoDB developers as a specific index type

Full text search as an index type when creating new indexes, just like any other.
1.Indexing of multiple fields, with weighting to give different fields higher priority.
2.Support for Latin based languages initially, with plans for other character sets later.

MongoDB CRUD operations with Python (Pymongo)

Posted On 20 December 2014 By MicroPyramid

MongoDB with Python - Connection establishment, Create, Update, Retrieve and Delete operations explained with sample code.

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