The technology that powers IG

instagramMany people are familiar with Instagram, a very useful social networking application that is known for its photo sharing purposes. To be honest, there are a lot of ways to gain followers on IG like posting good pictures featuring amazing sceneries, delicious foods, and magnificent travel destinations. Aside from that, you can also buy followers on IG if you find it difficult to attract followers into your user account.

Have you ever thought about the technology used in creating and sustaining the functionality and features of Instagram? Well, the technology that powers Instagram required the utilization of wide varieties of different tools dedicated for storage purposes.

Technology Behind Instagram

Instagram’s foundation is very broad. Not a shock, in the event that you consider traffic loads and interest for quick and versatile mobile application development. In this way, React Native is being used because of code sharing probability and cycle speed. Inquisitively, Instagram utilizes Ubuntu Linux 11.04 as its operational framework. As application web server they prefer the Django Framework using the Python language, that is kept running on high-CPU machines. Django is helped by NGINX, a free HTTP and switch intermediary server. PostgreSQL is the ideal answer for information stockpiling. Instagram utilizes it to oblige everything, from client information and photographs to meta information, labels, and so on.

The following are the tools utilized to meet all the requirements needed to power Instagram:

Operating System

Instagram run in Ubuntu Linux 11.04 (“Natty Narwhal”). Engineers found past variants of Ubuntu had a wide range of flighty solidifying scenes on EC2 under high traffic, yet Natty has been strong and exceptional


It is very essential to track everything that happens within the board. developers used Munin to graph measurements over the majority of our framework, and furthermore, notify us in the event that anything is outside of its typical range. Developers and engineers compose a ton of custom Munin plugins, expanding over Python-Munin, to chart measurements that aren’t framework level. For monitoring external services and handling alerts, Instagram developers utilized Pingdom and PagerDuty respectively while having Sentry to report any Python errors.

Push Notifications

If an Instagram user decided to share his or her picture from Instagram to other social media platforms or social networking site, the task is usually pushed towards Gearmean which is a queue system. Doing it in a non-concurrently through the assignment line implies that media transfers can be completed swiftly, while the ‘truly difficult work’ can keep running out of sight.


All the data are saved and stored in PostgreSQL that can run in a wide range of memory instances even if it was a quadruple-sized memory instance. Instagram developer’s use of Django is also an acceptable reason to make them resort with PostgreSQL.


There are also application servers dedicated to handling requests. Instagram engineers run Django and as our utilization expanded, the numbers of machines being used are now increased to twenty-five. We’ve discovered that our specific outstanding task at hand is very CPU-bound as opposed to memory-bound, so the High-CPU Extra-Large case type gives the correct equalization of memory and CPU.

Load Balancing

Each request sent to the servers of Instagram needs to go through specialized machines dedication for load balancing. In the case of Instagram, developers and engineers are utilizing Nginx machines.


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