In this blog post, we'll be going through two server-side scripting languages; Python and Ruby with focus on comparing the performance and other factors that might help you in deciding which language to pick over the other for your web application. Read more

Python powers many applications we use day-to-day like Reddit, Instagram, Dropbox, Spotify and so on. Adoption of Python 3 has been a subject of debate in the Python community for long. While Python 3 has been out for more than a decade now, but there wasn’t much incentive to migrate from the stable Python 2.7 in the earlier releases, but with its end of life in January 2020 it’s high time to migrate. Read more

Memory management in python: Yes, you heard it right “memory management in python”. You must be thinking: why do I need to manage the memory in any high-level language like python? Read more

Protocol Buffers are a way to encode data before transportation, which efficiently shrinks data blocks and therefore increases speed when sending it. It abstracts data into a language-and  platform-neutral format. Read more

In this post, we will walk through various techniques that can be used to identify the performance bottlenecks in your python codebase and optimize them. Read more

I'm an engineer by trade. I rely on intuition when investigating a slow Django app. I've solved a lot of performance issues over the years and the short cuts my brain takes often work. However, intuition can fail. It can fail hard in complex Django apps with many layers (ex: ... Read more

Scout makes monitoring the performance of Django apps affordable and approachable in just a couple of lines of code. Read more

I don't know of an easier way to deploy a Django app than letting Heroku do the work. That said, how do you stay on top of your app's performance, errors, and stability post-launch? Running an app on Heroku is a blissful experience, but it presents some monitoring challenges that ... Read more

This post covers instrumenting a Django app with StatsD. StatsD is logging for metrics and is the missing swiss army knife in your measurement toolbelt. Read more

The Django ORM makes it easy to fetch data, but there's a downside: it's easy to write inefficient queries as the number of records in your database grows. Read more