Instagram Technology: All The Technology Behind Your Most Liked Pictures on Instagram!

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Instagram is a widely used social media platform. It is used by more than six hundred million active users. It is a platform where people can share photos, stories, messages, and many more fun things. It allows users to click, edit, and post their pics. This social media platform is insanely famous among the millennials. One can add their friends and follow them too. Check this to get followers and likes on Instagram.

Instagram has its roots from an application called the Burbn. Kevin Systrom and Mike Krieger were the founders of this app. They renamed the app to ‘Instagram’ which means instant telegram. The founders say it took them eight weeks to develop Instagram. Initially, it was launched only for iOS in 2010, but later it was made available for android users in 2012.

Instagram uses various technologies for its functioning. By integrating these technologies, Instagram provides us its top-notch facilities. Instagram uses “Django” that runs on 11.04 servers, “Redis” for storage of feeds, and “PostgreSQL” for storage purposes.


Some basic technology involved in the functioning of Instagram are

  1. Django: It is a web framework of python. Django is the core of Instagram. It lets developers build plenty of applications. The entire thing is written in Python. The team at Disqus wrote the app “Sentry” which is a Django backed app. Sentry is used for reporting errors on Instagram. Django is integrated tightly which is the reason why Instagram starts quickly.
  2. Celery and RabbitMQ are responsible for all the asynchronous tasks like sending notifications and operating background processes. Celery is a task queue that is based on the distribution of message communication. Its primary focus is on operations taking place in real-time. Scheduling is also supported by celery. RabbitMQ is a message broker. Advanced Messaging Queuing Protocol (AMQP) is used for writing it down.
  3. Gearman: Gearman is the application responsible for the distribution of tasks. These tasks are distributed amongst many nodes throughout the system. It is also used for tasks like uploading pictures and stories. Gearman is basically a framework that distributes tasks to processes and machines. It has myriad applications that range from transportation of database to high available websites.
  4. Pre-processor Node: This is used for attaching the required data to apply filters. Filters are applied on media content that has attached with itself metadata.
  5. Parser Node: The extraction of hashtags that are attached with images is done with the help of the Parser node.
  6. Scorer Node: As the name suggests, this node keeps a count of how many times a hashtag is used.
  7. Ranker Node: Ranker node plays a crucial role as it ranks all the hashtags. It lets us know of the most trending hashtags. It basically computes scores of hashtags.
  8. PostgreSQL: The platform’s data is stored by PostgreSQL. Data such as tags, photos, stories, and user data are stored.
  9. Hive: It is used for the archiving of data. It is like a warehouse of data developed for analytics capabilities and data queries.

10. Redis: The sessions, activity feed, and other data are stored in this memory database.