Tuesday, June 23, 2015

AWS Enterprise Summit 2015

AWS (Amazon Web Service) Enterprise Summit are designed to educate new customers about the AWS platform; offers existing customers deep technical content to be more successful with AWS.
Today(23 Jun), I had the chance to attend AWS Enterprise Summit at Chennai, India. In a nutshell, it covers keynote address, panel discussion, customers use case on technical track, etc. Herez the highlights of Today's sessions:
Development Focus
"Moore's law" is the observation that, over the history of computing hardware, the number of transistors in a dense integrated circuit has doubled approximately every two years.
Itz true and reflected in IT industry. In 1971, Intel's first processor 4004 contained 2,300 embedded transistors to execute. Now, in 2015, Intel's 18-core Xeon Haswell-EP has over 5.5 billion transistors. Amazing growth, right!!!
As hardware is rapidly expanding its band, software's development focus is migrating in the below order:
  • Mainframe - 1970s
  • Personal Computer (PC) - 1980s
  • Data Centre (RDBMS) - 1990s
  • High Performance Computing (HPC) - 2000s
  • Cloud; Horizontal Scaling - 2010s
Amazon Web Service (AWS) platform is the key player in 2010s era.

Business Model

Traditional IT
Emerging IT
Business Model

Large Capital Expenditure (CapEx)
Low variable on demand CapEx
Cost Reduction

CapEx focused
Operation Expenditure (OpEx) focused
Cost Model

Basic Computing
Broad & Deeper Platform

Responsible for periodic upgrade
New features arrive daily
Lead to Innovation

Slow to roll new feature
Ready to use rapid feature

Traditional DR
Automatic DR
Improved Availability

Costing Strategy

Cost drop is achievable by TWO key factors in the business theory.
1. Large customer base
2. Better economy of scale
In alignment with this costing strategy, Amazon had the multiple historical price reductions i.e. 48 price slashing since 2006.

Pricing Philosophy

Like mobile plan/cost, it starts from base to advanced package based on the user's demand. It is upto the customer to select their choice. AWS has the multiple pricing plan as below:

Purchase Model

Free Tier
With free usage and no commitment
For PoCs and getting started

On Demand
Pay by the hour with no long term commitment
For spiky / seasonal workloads

Low one-time payment with significant discount
For committed utilization

Bid for unused capacity, fluctuates based on demand/supply
Time intensive or transient workloads

Launch instance run on hardware dedicated to a single customer
Highly intensive or compliance loads

Data Growth Trend

It is interesting to observe the data growth @ our industry
  • 7.9 Zetta Bytes of Data Persistence
  • 90% of data growth just in last 2 years
  • 5+ billion devices usage
  • 966 Exa Bytes transfer rate

Big Data Platform

AWS Platform has the end-end solution for Big Data use cases with their own cloud based tools:
  1. Kinesis - allows for large data stream processing and real-time analytics
  2. Elastic MapReduce (EMR) - API styled web service that uses Hadoop ecosystem
  3. Relational Data Store (RDS) - Scalable relational database in the cloud
  4. Simple Storage Service (S3) - Opt for virtually unlimited cloud & internet storage 
  5. RedShift - Fast, fully managed, petabyte-scale data warehouse in the cloud
  6. Dynamo DB - Fully managed NoSQL database service that provides fast and predictable performance with seamless scalability

Closing Note

Statistics indicates that 6% Enterprise into Big Data and 9% Enterprise are into Cloud platform to adapt this data growth.
Thus, AWS (Amazon Web Service) is matured enough in each and every space of Big Data and Cloud platform.  In fact, their own line of business (amazon.com) in world's leading online store, is helped to set the validity of their solution/products, before serving to the industry.  Awesome work, AWS.

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