AWS Dev Day 2018
Mohit Ajwani
Topics covered
● Keynote
● Accelerate AI applications on AWS
using Intel® Software
● Build Voice-Enabled Experiences
with Alexa
● TurboCharge your Software with
Intel® Developer tools on AWS
● Serverless Architectural Patterns
and Best Practices
● Architecting a Serverless Data
Lake on AWS
● IoT Building Blocks: From Edge
Devices to Analytics in the Cloud
Intel® Developer Tools
● Intel® Parallel Studio XE
● Intel® Math Kernel Library
● Intel® VTune™ Amplifier
● Intel® OpenVINO™ Toolkit
● Intel® Distribution for Python
Chaos Engineering - Introduction
● Why breaking things should be practiced?
● Firefighters
● Regional Outage
● Phases of Chaos Engineering
Phases of Chaos Engineering
Steady State
Hypothesis
Design
Design
Run
Verify and Learn
Verify and Learn
5 WHYs
Fix
Serverless
● Lambda
● Microservices
● Step Functions
Sample Serverless Application
Microservices
Benefits of Microservices
Step Functions
Step Functions
AWS Serverless Data Lake
● A data lake is a new and increasingly popular way to store and analyze data
because it allows companies to manage multiple data types from a wide
variety of sources, and store this data, structured and unstructured, in a
centralized repository.
● Training:
https://aws.amazon.com/training/course-descriptions/serverless-datalake/
AWS Serverless Data Lake
AWS IoT
● AWS IoT Device SDK
● Device Gateway
● Message Broker
● Authentication and Authorization
● Registry
● Device Shadow
● Rules Engine
AWS IoT
IoT Example
References
https://www.slideshare.net/hornsby/chaos-engineering-why-breaking-things-
should-be-practised-96719638
https://medium.com/netflix-techblog/active-active-for-multi-regional-resiliency-
c47719f6685b
https://medium.com/netflix-techblog/the-netflix-simian-army-16e57fbab116
http://principlesofchaos.org/
https://aws.amazon.com/answers/big-data/data-lake-solution/
https://aws.amazon.com
References
https://github.com/Netflix/SimianArmy
https://github.com/netflix/chaosmonkey
Thank
You
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AWS Dev Day 2018