Mucon microservices and innovation
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This document discusses innovation through microservices. It begins by defining innovation as executing new ideas to create value for customers. It then discusses how to innovate through a microservices approach using a platform that allows for rapid deployment, lean analytics, and a build-measure-learn process to fail fast and learn quickly. This approach creates an antifragile system that gains from stress and shocks by measuring impacts and adapting in response.
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Mucon microservices and innovation
- 1. Innovation & Microservices Gawain Hammond
- 2. Introduction
- 3. • “Our primary aim is to transform the future from being a liability in to an asset we can harness now” • We don’t simply build products, we build tools and prototypes to learn what products and features the organisation should build • If an initiative is not successful, we MUST learn something of value from it Tech Futures Innovation Team
- 5. Reality • 10% Success rate considered acceptable
- 6. Innovation
- 8. “Executing new ideas to create value” What is Innovation?What is Innovation?
- 10. Or (Anything that teaches us what these experiences are) VALUE ISTHE EXPERIENCESTHATTHE CUSTOMER IS WILLINGTO PAY FOR The Impact What we create The Person we need to understand Whats in it for us
- 11. • Head off disruption • create new wealth producing potential • Learn to contribute to both above Why Innovate?
- 12. Global Trends
- 13. Pace
- 14. R&D Budgets Source: Global Innovation 1000
- 15. • Companies in the bottom 10% of innovation investment failed to benefit from structured innovation • An upper limit of diminishing returns on investment “It’s not about money. It’s about the people you have, how you’re led, and how much you get it.” - Steve Jobs Money Isn’t Everything…
- 16. Innovate What? Software Systems UX Products Business modelLogistics
- 20. What is POSSIBLE with Technology What is VIABLE in Marketplace What is DESIRABLE to Customers Innovation Business Human ValuesTechnology Design & Interaction Product Manufacturing Organisation Behavior Accounting Finanace Economic Anlysis Policy Marketing Entrepeneureship Competition & Strategy Engineering Analysis Electronics & mechatronics Programme Methodology Operations Information Technology Chemical/Bio engineering Software Delivery Manufacturing Technology Manufacturing Process Supply Chain Management Rapid Product Prototyping Human Computer Interaction Visual Thinking Design sustainability Aesthetic & Form UX WIreframes (prototypes) Psycology Anthropology Socialogy Ethnography Need-Finding Management & Teams Human Resources Organizational Dynamics Negotiation
- 21. • Generate Ideas • Select ideas • Diffuse Ideas Innovation Process in a Nutshell
- 23. Enterprise Innovation Spin Off BAU Skunkworks Breakthrough Sustaining FitWithProcess Fit With Values Heavyweight Team Autonomous Org Mainstream Org InHouse Team C A D B Poor Fit Strong Fit PoorFitStrongFit
- 24. Finding The Way…
- 25. 1. Align innovation portfolio with customer needs and wants 2. Developing and retaining people with the right technical knowledge 3. Ensuring that innovation leaders and business leaders are aligned 4. Understanding new product and service related technologies and trends 5. Pursuing lean product development Innovation Success
- 26. • Reduce bureaucratic burden of implementing new ideas? • Empower EVERYONE to fail innovate? • Explore rapidly changing technology landscape? • Help the balance between governance and agility? How can we reconcile?
- 27. • ground-breaking ideas don’t always look ground- breaking when they launch • Instead, they tend to build up out of a series of experiments • Focus on what you can afford to lose, rather than what you might gain • Don’t expect to have a great big idea come to you in perfect form Little Bets
- 28. • Take a micro-services approach to innovation • Open to all • Failure is very low cost • Rapid development & re-use globally • Ensure we learn from service interaction data • Use learning to find winners for investment Microservices
- 29. PaaS
- 30. • Incubate & breed success • Allow service to compete for supremacy • Darwinian environment • Life is cheap & microservices should be too Innovation Platform
- 31. FaaS
- 32. A Platform for non-functional requirements Easy For Ops Team Analytics Debug Health Checks Deploy Anything Lightweight Low Latency Testability Secure Elastic Central PolicyA/B Testing Simple Architecture APIs Polyglot No Lock-In Network Agnostic Service Discovery Automated Management Rollback Load Balancing Rate Limit
- 33. Don’t Repeat Yourself Load Balancer Runtime Management Control API System Policies High Availability Infrastructure Integration Platform Messaging Authentication Log Manager Log Manager Source Management Build System Deployment Service Discovery Monitoring Emergency Response
- 34. • Rapid Deployment • Lean Analytics • Build-Measure-Learn • Fail Fast • Learn Fast Lean Platform
- 35. Brave New World
- 36. • Deploy • Polyglot • Monitor & Health check • Alert • Analytics Microservice Platform MVP
- 37. Muse
- 38. • When you solve a problems, you create a new one • With deployment sorted now you’re worrying about new stuff • Data Consistency, Failure, Coupling, Insight, etc.. Convenience
- 39. • Fallacies of distributed Computing… • Highly coupled HTTP calls • Code proliferation to handle failure conditions • Traditional transactional thinking becomes a problem • No stack traces like code in a monolith for debugging • Where are the unit & integration tests? • How do you introspect to understand the whole? Web Service Proliferation
- 40. Simple Service ABC3 Service L7 Service 3Service XYZ1 Service 1 Service Y Service 1Service A Service G5
- 41. Complicated Service XYZ1 Service XYZ2 Service XYZ3 Service XYZ4 Service 3Service XYZ1 Service Z Service 1 Service X Service 2 Service Y Service 3Service Z Service Z
- 42. Complex Service XYZ1 Service XYZ2 Service XYZ3 Service XYZ4 Service 3Service XYZ1 Service Z Service 1 Service X Service 2 Service Y Service 3Service Z Service Z
- 43. API Management Service 1 Service 2 Service 3 Service 4 Admin UI HTTP Proxy3HTTP Proxy1 HTTP Proxy2 Mgmt Svc
- 44. Analytics
- 45. The Minilith Service 1 Service X Service 2 Service Y Service 3 Service Z Service 4 REST API Service A Service B EXPOSED REST API Message Queue
- 46. Many Miniliths Service 1Service A 1 2 3 4 5 6 6 API 8 9 API Q 1 2 3 4 5 6 6 API 8 9 API Q 1 2 3 4 5 6 6 API 8 9 API Q 1 2 3 4 5 6 6 API 8 9 API Q 1 2 3 4 5 6 6 API 8 9 API Q Message Queue 1 2 3 4 5 6 6 API 8 9 API Q REST API REST API
- 47. Higher Abstractions Swamp of Pox Resilience Low Coupling Insight Data Model Analytics EDA (Pipes) Deployment Orchestration Programming Model Eventual Consistency Microservice Nirvana
- 48. MSH
- 50. Kubernetes
- 51. Antifragile
- 52. Antifragile Fragile Degrades under pressure Robust Strong but breakable Resilient Rebuilds back to former state Antifragile Gains from stress and shocks
- 54. • Every crash improves the system • Safety systems exploit small errors • redundancy duplicates critical components to increase reliability of the system Air Safety
- 55. • Species compete for domination • Nature operatives with very little information yet excels at survival • Small iterative changes from generation to generation • Don’t predict the future, be ready for multiple eventualities Nature
- 56. • Innovation is born out of necessity • Anti-fragile systems are redundant, with countless backup plans • Not efficient, but effective • Ready to take the lead if/when circumstances change Innovation IS Antifragile
- 58. • Trail and error • making do with what you’ve got • recycle bits that would otherwise be wasted • Rational trail and error is not random • Recognise the favourable outcome and know what to discard Bricolage
- 59. • Failure • Loss • Chaos • Learning • Allow success to emerge Embrace The Chaos
- 60. • Implement a lean platform • With lean analytics In-built • No need to ask for permission • Create an Internal microservice app store for your organisation • Archive and reproduce services for future consideration Incubate Success
- 61. • Platform mangement • Define your architectural style • Data model • But don’t worry… • What you can learn may be more valuable than technical excellence • Innovation embraces everything, including anti-patterns Should I adopt micro services?
- 62. –Seneca “It is not because things are difficult that we do not dare, it is because we do not dare that things are difficult.”