Application Defined Networking Challenges and Possibilities. Rupert D.E. Brown IB CTO Lead Architect UBS Investment Bank London
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1 Application Defined Networking Challenges and Possibilities Rupert D.E. Brown IB CTO Lead Architect UBS Investment Bank London
2 Agenda What is meant by Application Defined Networking? The CIO Inbox Challenges vs Possibilities The Rise of Dynamic Distributed Architectures So is this real? Paradoxes and Predictions
3 What is meant by Application Defined Networking? ADN is the harnessing of Software Defined Networking Capabilities and techniques to support:- Dynamic connectivity demand driven & resource aware architectures A global customer base with an expectation of uniform QoS Supply chain testing, simulation and optimisation Richer Agile/Devops Continuous Delivery processes needed to underpin them
4 Where does ADN Happen? Sources:- HP+ONF
5 Global Service Delivery 24x7 "The Internet of Things" Will it be alright on the night? The CIO Inbox Balancing Security and Privacy No App is an Island Capacity and Scale Industrialisation and Automation Expectation of (Log) Linear vs Exponential Delivery Cost With frequent feature enhancements Geopolitical Regulation Risk and Audit Controls Trust and Brand Loyalty
6 CIO's Want to be loved Source:- Huawei
7 Business Analysis Challenges vs Possibilities Pre-Production Better Flow analysis and proper interlinked diagramming tools Behavioural NFRs need to be more explicit Architecture and Design (Yet More) Abstractions, Frameworks and Standards Develop and (re)build Test Manage Virtual and Physical Resources Pure applicances vs varying isolation models Move from Apps/Interfaces to whole F2B Supply Chains
8 Challenges and Opportunities span multiple DCs (Hint:- Start with a DR pair) Source:- Huawei
9 Release Management Challenges vs Possibilities Production Operations Application config is already embedded in the network Operate One Name + Event space (think Mkt Data Symbology) Agnostic to change dynamic service trees Many Panes of Glass Control and Approval flow Manage by exception Mechanical Analysis ITIL needs a rewrite. (Design Intent + Execution state) vs Static Configuration Management
10 A Service Tree Example Region Country Datacentre Host Application Hardware components
11 The Rise of Dynamic Distributed Architectures (Or When did you last do J2EE?) Scale Out / Dynamic Application Architectures need Scale Out topologies It is not enough to clone server stacks Scale out topologies need distributed automation One calendar, One Namespace Distributed automation has both sequencing and dependency challenges Remember RBS Need Isolate and Quarantine failed/compromised components and route around them. Workload Mix varies over time Data state generally just increases Machines obey constraints Humans don't
12 So is this real? Some showcase proof points Consistent Control of Assets & Threats (Rebasoft) Reverse Engineering & Visualisation (Cisco onepk+real Status) From OpenStack to OpenFlow (IBM) Real World Application Overlay Networks (Cohesive FT) Just in Time Networks (Cisco onepk+sparkl.com)
13 Paradoxes and Predictions Bureaucracy vs Automation Those who desire the most control have the worst data and the least effective mechanisms to achieve it Capital and Stamina ADN implementations will require significant capital commitments and multi year implementations Few non IT commercial organisations have the will or stability to stay the course We are already seeing bifurcation between on premise and "cloud" application architectures because of capital spend in "cloud" platforms
14 Paradoxes and Predictions 2 Design, Modelling and Simulation We will need (and eventually get) better design and modelling tools. The CAD/CAM space is probably nearest exemplar of this The "design first" topology spec of an application is the CMDB content for dynamic architecture platforms. The "discover after" model must match. Crash Test Dummies Major SDN outages will occur in the short term driven by immature ADN frameworks and toolsets make sure you have a reset button
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