Blue PI and AWS can help you with solutions that just works Speaker: Poonam Chatterjee, Founder, Blue Pi

1. IMAGINEERING
TRANSFORMED
TOMORROWS

2. About BluePi
Established in the year 2012, BluePi is a
born-in-the-cloud technology company,
focused on solving business problems via
cutting-edge technology.
We’re Futuristic, Enthusiastic and Reliable;
all set to Imagineer Transformed
Tomorrows!

3. Big Failure
on Big Billion Day!

4. www.bluepiit.com
• Flickery site lead to million disappointed users
• 1K additional engineers were deployed for
technical disruptions
• Competitors recorded 15X more sale same day
Propaganda, to be effective, must be believed. To be believed, it must be credible.
- Hubert H. Humphrey“
“

5. www.bluepiit.com
• Caters to 500M+ page views every month
• Can support approx. 1M concurrent users
• 100M+ automated push notifications in 6 hours
• Real time analytics
• Real time, personalized and multilingual recommendations
Case Study
Entire Digital Transformation for a
'Media Powerhouse'
The client wanted to setup a robust system to manage exponential growth and also,
have a nimble system which will allow a dynamic news site operating in 6 languages.
Problem Statement

6. www.bluepiit.com
Redshift
RestAPI
Customer Assets
MongoDB
Enrichers
Storm
Spout Ingester Recommendation
Engine Spark
Pi-Stats
Dashboard
5a. Petabyte
scale DW Store 5b. Run ML
algorithms
5c. Realtime
Active views
1. Log Events
4. Aggregation and
Enrichments
2. Realtime
Streaming
Amazon Kinesis
Architecture

7. 1000TB Of Data
Vanished in Seconds

8. www.bluepiit.com
• Australian Tax Office systems went down for days
• Collapse of storage solution system lead to problem
• 1PB of data erased
The tendency of an event to occur varies inversely with one's preparation for it.
- David Searles“
“
Server down: what caused the ATO systems
to crash
December 15, 2016 3.21pm AEDT

9. www.bluepiit.com
End to end workload migration for the second largest
online travel booking site to AWS
The client was looking for a scalable solution, that had the capability to handle enormous traffic during the
peak periods. Purchasing new servers and upgrading configuration proved to be highly time consuming and
expensive
Problem Statement
• DR setup to ensure fail safe environment and high availability
• Automated scripts to scale DR in case of primary shut down and divert traffic with minimal
impact
• Live migration of 200+ servers in 3 months from co-located infra to AWS for scalability and
redundancy
• Technology stack included Cassandra, Elasticsearch cluster, Redis, Hadoop etc.
• 2TB+ data migrated in process. Data replicated across regions for redundancy and
application availability
Case Study

10. www.bluepiit.com
Architecture

11. $100M Loss
A Speedy Bump

12. www.bluepiit.com
• Company installed system to forecast demand by Style, Color
and Size etc. to pre-deliver products.
• System failed to keep up with the speed to make
enormous forecast
• Nike spent 6 years and $800 million to recover
If 2 minutes are required to process 1 minute of data, the system will not be real time for very long.
- Byron Ellis“
“
I2’s Software Just Didn’t Do It for
Nike
Joe Bousquin Feb27, 2001 8.35 PM EST

13. www.bluepiit.com
Case Study
Enabling Real Time Reporting for ever
increasing shipment data
With huge incoming data that scales to 1-2 GB per day with existing data of size 50 TB the
client needed for more scalable and efficient reporting system which would give them
holistic view about the bottlenecks, delays and state of their overall “last-mile logistics”
machinery.
Problem Statement
• In-Memory analytics solution that provides visibility into entire logistics pipeline and
bottlenecks.
• Handles peaks and scales horizontally and is used by many departments.
• A mix of AWS infra and services like S3, Kinesis, Redshift, Redis with cutting-edge
technologies like, Storm were used to build the solution
• Project execution using agile methodologies to complete the solution within 6 months
• 10s of terabytes (in Database)
• <1 minute latency between OLAP and OLTP
• 5 GB - Daily incremental data & 2 M Packages Scanned daily

14. www.bluepiit.com
Architecture

15. Gurgaon Address :
455, 4th Floor, JMD Megapolis, Sohna Road,
Sector 48, Gurgaon, Haryana – 122018,India.
Phone : +91-124-6636500
E-mail : info@bluepi.in
Bengaluru Address :
#408, Cita Building, next to Vodafone Store,
Koramangala, 7th Block, Bengaluru,
Karnataka – 560095, India
Phone : +91-9108133123
E-mail : info@bluepi.in
www.bluepiit.com
BluePi and AWS can HELP you with solutions that just works!
Thank you!