1. Scaling seamlessly from multicore to the cloud

5.  Need for distributed computing APIs
 Special needs of cloud environment
◦ Elasticity
◦ Machine failure
◦ Platform heterogeneity

6.  Traditional RDBMS (small, pull,
fk/pk)
 Hadoop (big, pull, fk/pk)
 Object/relational mappers
(small, pull, k/v)
 LINQ to Objects (big, pull, k/v)
 Reactive Extensions (big, push,
k/v)

7.  Framework/runtime for both distributed and
cloud environments
 Ideal for developing and running big
computations, big data AND their combination
 Designed for scale up and scale out, providing
efficient resource handling

8.  Provides simple, streamlined programming
experience which boosts productivity
 Automates orchestration, load balancing,
message passing and failure management
 Centralizes management, deployment,
debugging and cloud-scale code prototyping
through the {m}brace shell

9.  Hadoop
◦ Map-reduce framework
 Gridgain
◦ Big data and big computation middleware
 Akka
◦ Member of the TypeSafe stack
◦ Actor based with fault tolerance

10.  Bigger scope: {m}brace provides a unified experience for authoring
various kinds of algorithms
 Competition focuses mainly on map-reduce, {m}brace provides map-reduce as
an extension which can be combined and tweaked by the users
 Centralized deployment, monitoring and debugging
 {m}brace provides the {m}brace shell which can be used for centralized
monitoring and deployment without the need of batch files, manual copying
etc.
 Great for developers (end-users): code is not cluttered by
orchestration details
 Code maintenance and debugging is made easy
 No need for code segmentation as per actor model

11.  Low cost high quality development center in
Greece
 Development associates in the UK serve both as
developers and local represantatives
 Small development team
◦ Low management cost
◦ Quick turnaround times

12.  Stabilization of current version
 QA phase and documentation authoring
 Private beta released in May 2013
 Public beta to be released in September 2013
 Support for Azure cloud and private data
centers with Windows OS

13. Dissemination until private beta stage to the :
 F# technical community
 Organizations with F# infrastructure
 Collaborative / vertical products

14.  Q2 2013: Private beta launch
 Q3 2013: Public beta launch
 Q4 2013: Addition to Windows Marketplace
 Q4 2013: C# Support
 2014 Q1: 2013: Integration with F# packages for GPGPU
 2014 Q1: 2013: Integration with Hadoop
 2014 Q2:Mono Support
 All the time: co-marketing with the F# community and
Microsoft

15.  SaaS model
◦ Azure Marketplace
◦ Surcharge for each {m}brace enabled node
 License model
◦ Installation at private data centers
◦ Per-basis license and support fee

16.  Levels
◦ Forum based
◦ Private chat
◦ On-premise
 Specialized services
◦ Consulting
◦ Upgrades and installations
◦ Training

17.  Focus on becoming the killer app for
developing cloud apps
 Provide the ultimate toolbox for writing big
computation – big data code that scales out
and is easy to maintain and administer

19. Clients Yahoo!, Facebook, Amazon, Microsoft, Netflix, Twitter,
…
Marketing Activities Community driven blogs, Hadoop World Conference,
ApacheCon
Personnel Apache Software Foundation, Yahoo!, Facebook and
open source community contributors
Capital Varies with commercial support for this open source
project. Currently, Yahoo! is the most prominent
supporter and contributor.
Pricing Open source software, distributed under the Apache
License. Commercially supported products are available
by a range of companies.

20. Clients Yahoo!, Facebook, Amazon, Microsoft, Netflix,
Twitter, …
Marketing Activities Community driven blogs, Hadoop World Conference,
ApacheCon
Personnel Apache Software Foundation, Yahoo!, Facebook and
open source community contributors
Capital Varies with commercial support for this open source
project. Currently, Yahoo! is the most prominent
supporter and contributor.
Pricing Open source software, distributed under the Apache
License. Commercially supported products are
available by a range of companies.

21. Clients Thatcham Motor Insurance Repair Research Centre, CSC (Traffic
Management), SVT (Swedish Television), ..., (Full list)
Marketing Activities Talks at technical conferences, social media
Personnel Open source contributors, TypeSafe (Team)
Capital Invenstment by Graylock Partners ($3m)
Pricing Combination of Open Source and Subsricption based scheme.

22. Clients Unknown, no use cases or client information available
Marketing Activities Talks at technical conferences, social media, articles
Personnel Microsoft Researchers: Roger Barga, Jaliya Ekanayake, Mohamed
Fathalla, Jared Jackson, Wei Lu
Supported by the Microsoft eXtreme Computing Group
Capital Microsoft funding of eXtreme Computing Group.
Pricing Free for non-commercial use. Product released as Research
Technology Preview.