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IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. OPEN-SOURCING A 10X REDUCTION IN APACHE CASSANDRA TAILSEE MORE ON INSTAGRAM-ENGINEERING.COM MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OFSEE MORE ON INSTAGRAM-ENGINEERING.COM POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. OPEN-SOURCING A 10X REDUCTION IN APACHE CASSANDRA TAILSEE MORE ON INSTAGRAM-ENGINEERING.COM MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production everyfew. Read
ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OF Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
PYTHON – INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
MACHINE LEARNING
Emojineering Part 1: Machine Learning for Emoji Trends. 🆒🆕In October 2011, Apple added the emoji keyboard to iOS as an international keyboard. Since then, digital language has evolved such that nearly half of comments and captions on Instagram contain emoji characters. And earlier this.INFRASTRUCTURE
Moving Pictures: Capturing Moments with Video. We’re excited to now let Instagram users capture moments using video. This allows even more vivid, artistic, and creative stories to be told from around the world. With the launch, we’re committed to making the video media available to our developer. Read more. WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON Web Service Efficiency at Instagram with Python. Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python. We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.”. ADAPTIVE PROCESS AND MEMORY MANAGEMENT FOR PYTHON WEB At Instagram, process and memory management is a frequent point of consideration in building large-scale, distributed, fault-tolerantsystems. This
APP MODULARIZATION AND MODULE LAZY LOADING AT INSTAGRAM Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
HANDLING GROWTH WITH POSTGRES: 5 TIPS FROM INSTAGRAM Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OFSEE MORE ON INSTAGRAM-ENGINEERING.COM SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM This post was originally published on the Facebook AI blog.. Over half of the Instagram community visits Instagram Explore every month to discover new photos, videos, and Stories relevant to their interests. Recommending the most relevant content out of billions of options in real time at scale introduces multiple machine learning (ML) challenges that require novel engineering solutions. ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY OPEN-SOURCING A 10X REDUCTION IN APACHE CASSANDRA TAILSEE MORE ON INSTAGRAM-ENGINEERING.COM MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OFSEE MORE ON INSTAGRAM-ENGINEERING.COM SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM This post was originally published on the Facebook AI blog.. Over half of the Instagram community visits Instagram Explore every month to discover new photos, videos, and Stories relevant to their interests. Recommending the most relevant content out of billions of options in real time at scale introduces multiple machine learning (ML) challenges that require novel engineering solutions. ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY OPEN-SOURCING A 10X REDUCTION IN APACHE CASSANDRA TAILSEE MORE ON INSTAGRAM-ENGINEERING.COM MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
ABOUT INSTAGRAM ENGINEERING Read more about Instagram Engineering. Stories from the people whobuild @Instagram.
WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OF Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python. We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.” PYTHON – INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
MACHINE LEARNING
Read writing about Machine Learning in Instagram Engineering. Stories from the people who build @Instagram.INFRASTRUCTURE
Moving Pictures: Capturing Moments with Video. We’re excited to now let Instagram users capture moments using video.This allows even more vivid, artistic, and creative stories to be told from around theworld.
APP MODULARIZATION AND MODULE LAZY LOADING AT INSTAGRAM Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
ADAPTIVE PROCESS AND MEMORY MANAGEMENT FOR PYTHON WEB At Instagram, process and memory management is a frequent point of consideration in building large-scale, distributed, fault-tolerantsystems. This
HANDLING GROWTH WITH POSTGRES: 5 TIPS FROM INSTAGRAM Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production everyfew. Read
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OFSEE MORE ON INSTAGRAM-ENGINEERING.COM SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production everyfew. Read
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OFSEE MORE ON INSTAGRAM-ENGINEERING.COM SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OF Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
PYTHON – INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
CLOUD COMPUTING
Migrating from AWS to AWS. In an earlier blog post, we gave a high level description of our migration from AWS to FB data centers.What follows is an in-depth analysis of how we migrated thousands of running AWS EC2 instances into Amazon’s Virtual Private Cloud (VPC) in the span of 3 weeks with no downtime CONTINUOUS DEPLOYMENT AT INSTAGRAM Continuous Deployment at Instagram. At Instagram, we deploy our backend code 30–50 times a day whenever engineers commit changes to master with no human involvement in most cases. This may sound crazy, especially at our scale, but it works really well. This post talks about how we implemented this system and got it working smoothly. SEARCH ARCHITECTURE. INSTAGRAM IS IN THE FORTUNATE Instagram is in the fortunate position to be a small company within the infrastructure of a much larger one. When it makes sense, we leverage resources to leapfrog into experiences that have taken Facebook ten years to build. IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY Improving Audio Quality. Instagram’s video system has access to multiple levers that affect audio quality. The audio codec selection, sample rate, and bitrate all contribute to the quality of the audio encoding. Different audio codecs have different levels of lossy compression, and they perform differently on different types ofcontent.
ADAPTIVE PROCESS AND MEMORY MANAGEMENT FOR PYTHON WEB At Instagram, process and memory management is a frequent point of consideration in building large-scale, distributed, fault-tolerantsystems. This
STATIC ANALYSIS AT SCALE: AN INSTAGRAM STORY This is a lossy conversion, and details about “syntactic trivia”, like comments, parenthesis, and commas are thrown away. However, the semantics of the code are preserved. Python’s abstract syntax tree, generated by the ast module. At Instagram, we’ve developed LibCST,which provides the
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production everyfew. Read
ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OF Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
PYTHON – INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
MACHINE LEARNING
Emojineering Part 1: Machine Learning for Emoji Trends. 🆒🆕In October 2011, Apple added the emoji keyboard to iOS as an international keyboard. Since then, digital language has evolved such that nearly half of comments and captions on Instagram contain emoji characters. And earlier this.CLOUD COMPUTING
Migrating from AWS to AWS. In an earlier blog post, we gave a high level description of our migration from AWS to FB data centers.What follows is an in-depth analysis of how we migrated thousands of running AWS EC2 instances into Amazon’s Virtual Private Cloud (VPC) in the span of 3 weeks with no downtime WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON Web Service Efficiency at Instagram with Python. Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python. We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.”.INFRASTRUCTURE
Moving Pictures: Capturing Moments with Video. We’re excited to now let Instagram users capture moments using video. This allows even more vivid, artistic, and creative stories to be told from around the world. With the launch, we’re committed to making the video media available to our developer. Read more. APP MODULARIZATION AND MODULE LAZY LOADING AT INSTAGRAM Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
HANDLING GROWTH WITH POSTGRES: 5 TIPS FROM INSTAGRAM Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
INSTAGRAM ENGINEERINGINSTAGRAM SEARCHINSTAGRAM SITESINSTAGRAM WEBSITES Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production everyfew. Read
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OFSEE MORE ON INSTAGRAM-ENGINEERING.COMALEX POWERS INSTAGRAMALEXANDRA POWERS INSTAGRAMKEITH POWERS INSTAGRAMMEGAN POWERS INSTAGRAMBOWER POWER INSTAGRAMCHAD POWER INSTAGRAM PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDSBEST EMOJIS FOR INSTAGRAMEMOJIS FOR INSTAGRAMEMOJI CAPTIONS FOR PICTURESEMOJIS FOR CAPTIONSCUTE EMOJI CAPTIONS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
INSTAGRAM ENGINEERINGINSTAGRAM SEARCHINSTAGRAM SITESINSTAGRAM WEBSITES Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production everyfew. Read
LATEST STORIES PUBLISHED ON INSTAGRAM ENGINEERING Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production every few. Read more. 10 responses. Glenn Conner in Instagram Engineering. ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OFSEE MORE ON INSTAGRAM-ENGINEERING.COMALEX POWERS INSTAGRAMALEXANDRA POWERS INSTAGRAMKEITH POWERS INSTAGRAMMEGAN POWERS INSTAGRAMBOWER POWER INSTAGRAMCHAD POWER INSTAGRAM PERFORMANCE & USAGE AT INSTAGRAM. AT INSTAGRAM, WE TREATSEE MORE ON INSTAGRAM-ENGINEERING.COM SHARDING & IDS AT INSTAGRAM. WITH MORE THAN 25 PHOTOS AND With more than 25 photos and 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data — in other words, place the data in many smaller buckets, each holding a part of the data.. Our application servers run Django with PostgreSQL as our back-end database. POWERED BY AI: INSTAGRAM’S EXPLORE RECOMMENDER SYSTEM These systems support the scale of Explore while boosting developer efficiency. Collectively, these solutions represent an AI system based on a highly efficient 3-part ranking funnel that extracts 65 billion features and makes 90 million model predictions every second. In this blog post, we’re sharing the first detailed overview of the key ORGANIZING FOR OUTCOMES: HOW INSTAGRAM DERIVED FORM FROM An excerpt of this article originally appeared in Harvard Business Review.. Many people working in tech live in fear of new executive hires, and I understand why. Too often, companies onboard leaders to ‘shake things up’ and solve for stagnancy by haphazardly upendingeverything.
EMOJINEERING PART 1: MACHINE LEARNING FOR EMOJI TRENDSBEST EMOJIS FOR INSTAGRAMEMOJIS FOR INSTAGRAMEMOJI CAPTIONS FOR PICTURESEMOJIS FOR CAPTIONSCUTE EMOJI CAPTIONS Usage continued to grow and in March of this year, nearly half of text contained emoji 😱. In the future, will all text contain emoji? To help answer that question, we divided emoji usage by country and observed the differences between user cohorts. MIGRATING FROM AWS TO FB. WHEN INSTAGRAM JOINED FACEBOOK Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
ABOUT INSTAGRAM ENGINEERING Interested in games, art, technology, and distributing the future. iOS engineer at Instagram, previously at Pinterest, Flipboard. Software Engineer @ Instagram. I eat, travel, and churn credit cards. WHAT POWERS INSTAGRAM: HUNDREDS OF INSTANCES, DOZENS OF Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
OPEN SOURCE
Open-sourcing a 10x reduction in Apache Cassandra tail latency. At Instagram, we have one of the world’s largest deployments of the Apache Cassandra database. We began using Cassandra in 2012 to replace Redis and support product use cases like fraud detection, Feed, and the Direct. Read more. 23 responses. Instagram Engineering in PYTHON – INSTAGRAM ENGINEERING Python at Scale: Strict Modules. Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployedto
MACHINE LEARNING
Emojineering Part 1: Machine Learning for Emoji Trends. 🆒🆕In October 2011, Apple added the emoji keyboard to iOS as an international keyboard. Since then, digital language has evolved such that nearly half of comments and captions on Instagram contain emoji characters. And earlier this. SEARCH ARCHITECTURE. INSTAGRAM IS IN THE FORTUNATE Instagram is in the fortunate position to be a small company within the infrastructure of a much larger one. When it makes sense, we leverage resources to leapfrog into experiences that have taken Facebook ten years to build. MAKING INSTAGRAM.COM FASTER: PART 3 Making Instagram.com faster: Part 3 — cache first. In recent years instagram.com has seen a lot of changes — we’ve launched stories, filters, creation tools, notifications, and direct messaging as well as a myriad of other features and enhancements. However, as the product grew, a side effect was that our web performance began toslow.
WEB SERVICE EFFICIENCY AT INSTAGRAM WITH PYTHON Web Service Efficiency at Instagram with Python. Instagram currently features the world’s largest deployment of the Django web framework, which is written entirely in Python. We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.”. IMPROVING INSTAGRAM’S MUSIC AUDIO QUALITY Improving Audio Quality. Instagram’s video system has access to multiple levers that affect audio quality. The audio codec selection, sample rate, and bitrate all contribute to the quality of the audio encoding. Different audio codecs have different levels of lossy compression, and they perform differently on different types ofcontent.
HANDLING GROWTH WITH POSTGRES: 5 TIPS FROM INSTAGRAM Medium is an open platform where 170 million readers come to find insightful and dynamic thinking. Here, expert and undiscovered voices alike dive into the heart of any topic and bring new ideas to thesurface. Learn more
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------------------------- PYTHON AT SCALE: STRICT MODULES Welcome to the third post in our series on Python at scale at Instagram! As we mentioned in the first post in the series, Instagram Server is a several-million-line Python monolith, and it moves quickly: hundreds of commits each day, deployed to production everyfew…
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