Pinterest uses AWS services like Amazon S3, EC2, and OpenSearch to power its platform and scale to hundreds of millions of users. It stores exabytes of user data on AWS and uses machine learning on AWS to power visual search features. Pinterest also worked with AWS to develop a fine-grained access control system to restrict data access and save costs by migrating log analytics to OpenSearch.

1. Case study
on Pinterest.
PREPARED BY :
CHETAN JAIN
POOJA
PRATIBHA
PRERANA

2. Pinterest on AWS
Pinterest is a visual-discovery platform and social network with a mission to inspire.
Building on AWS storage and Pinterest uses sophisticated machine learning engines.
Pinterest uses storage and compute solutions on Amazon Web Services (AWS) to
provide the scale, speed, and security its platform requires, while keeping costs low and
freeing engineers to focus on innovation.

3. Few services of AWS used in
Pinterest
Amazon Simple Storage Service (Amazon S3) is storage for the internet.
Amazon Elastic Compute Cloud (Amazon EC2) Auto Scaling.
Better fault tolerance.
Better availability.
Better cost management.
Amazon OpenSearch Service

4. How Pinterest Engaged with AWS
Proserve
With existing solutions already on AWS, Pinterest engaged with AWS Proserve to build on
top of those solutions and they took nearly exabyte of their data, version it, and distributed it
among the users.

5. Pinterest lens helps users find and buy the
perfect item
Pinterest builds on AWS storage and compute solutions to power the ML engines behind the
Lens camera feature on its app, which is used to conduct hundreds of millions of visual
searches each month.
https://youtu.be/KH2Layy8sbA

6. Pinterest Scales Daily Log Search and
Analytics
In 2016, Pinterest -one of the largest visual-bookmarking tools and social networks in the
world, now with 400 million monthly active users and growing—was creating 300 GB of logs
daily, and that volume was increasing rapidly.
Faced with the enormous demand for faster, more efficient log analytics at a lower cost,
Pinterest moved to managed analytics using Amazon Open Source Service on AWS. There,
Pinterest was able not only to scale its log analysis capabilities but also to reduce
operational burdens on its software engineers, improve the security of its proprietary
information and private user data, and save costs by as much as 30 percent.

7. Scaling Data Ingestion and Reducing
Costs
In just 1 year after the migration to Amazon
OpenSearch Service, Pinterest’s observability team went
from ingesting 500 GB of data per day to 1.7 TB per day.
By the end of 2020, the team expects to be able to
ingest over 3 TB of data per day.
Most recently, Pinterest started
using UltraWarm for Amazon Open Search Service to
save costs for Elasticsearch clusters. This new low-cost
storage tier, which provides fast and interactive analytics
on up to 3 PB of log data at a fraction of the cost of the
current Amazon OpenSearch Service storage tier, has
helped Pinterest reduce costs by 30 % savings, Zhu
expects to rise to 40–50 percent.

8. AWS Data Pipeline
AWS Data Pipeline is a web service that makes it easy to schedule regular
data movement and data processing activities in the AWS cloud.

9. How Pinterest Worked with AWS to Create
a New Way to Manage Data Access
Pinterest needed to restrict data access to
specific users and processes, turning to
AWS for help building a solution.
The collaboration between Pinterest and
AWS to develop the scalable and secure
Fine Grain Access Control (FGAC) system
for Pinterest’s data on Amazon S3 and how
FGAC helps Pinterest amplify
underrepresented creators.

10. Effective Innovation Collaboration from
Pinterest and AWS
Pinterest engineering manager Keith Regier and
AWS senior solutions architect Doug Youd share
six collaboration tips gleaned from their
experience working together to build Pinterest’s
FGAC system.
AWS recently had the opportunity to collaborate
on a 22-month project with Pinterest, an
innovation leader in creating personalized
discovery experiences.
Technologists from across AWS joined forces
with technologists from across Pinterest to solve a
complex problem related to data access control.

11. How Pinterest can help in Business
Expansion
Organizations of all sizes across all industries
are transforming their businesses and delivering
on their missions every day using AWS.
Pinterest has added more channels for
businesses in recent years, including promoted
pins in 2013, social feeds and word and image
based searches. The company has been looking
to add more artificial intelligence into its platform,
to make searching for pins and connecting them
to trends and topics more fluid.

12. THANK
YOU.