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{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
{m}brace The Cloud  pitch deck
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{m}brace The Cloud pitch deck

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  • 1. Scaling seamlessly from multicore to the cloud
  • 2.  Need for distributed computing APIs  Special needs of cloud environment ◦ Elasticity ◦ Machine failure ◦ Platform heterogeneity
  • 3.  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)
  • 4.  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
  • 5.  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
  • 6.  Hadoop ◦ Map-reduce framework  Gridgain ◦ Big data and big computation middleware  Akka ◦ Member of the TypeSafe stack ◦ Actor based with fault tolerance
  • 7.  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
  • 8.  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
  • 9.  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
  • 10. Dissemination until private beta stage to the :  F# technical community  Organizations with F# infrastructure  Collaborative / vertical products
  • 11.  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
  • 12.  SaaS model ◦ Azure Marketplace ◦ Surcharge for each {m}brace enabled node  License model ◦ Installation at private data centers ◦ Per-basis license and support fee
  • 13.  Levels ◦ Forum based ◦ Private chat ◦ On-premise  Specialized services ◦ Consulting ◦ Upgrades and installations ◦ Training
  • 14.  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
  • 15. 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.
  • 16. 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.
  • 17. 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.
  • 18. 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.

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