By now you have likely heard the news that IBM has made a strategic investment in Lightbend to bring Reactive solutions to IBM Platforms. So, what does this mean for developers? During this 30-minute conversation with Karl Wehden, Director of Product Management at Lightbend, and Sebastian Hassinger, from the Developer Partners and Ecosystems team at IBM, will explore the following questions: 1. Why did IBM choose to partner with Lightbend, and vice a versa - what intrigued Lightbend about partnering with IBM? 2. Why is Scala important to this vision of the “Cognitive Era”? 3. What types of companies are creating these types of cognitive applications, and what do you see this partnership doing to help them accelerate their efforts? 4. What tools and technologies will we see begin to collaborate first? 5. In which other IBM products and services will we see Lightbend technologies appear as a joint solution? 6. What is the impact on JVM developers, the tools they use and how they get started with these technologies?

1. Sebastian Hassinger & Karl Wehden
August 17, 2017
IBM and Lightbend

2. Modern Development Technology Investment Decision-Making
§ 3 critical dimensions to dev team
decision making / investment:
• Modern technologies, high
productivity tooling/frameworks
• Adapters + connectors to leverage
+ integrate with legacy
• Conform to IT policies
- industry regulations, governance,
security, etc§ Business requirements driven by LOB
§ Tech criteria & evaluation carried out by LOB dev teams not
centralized IT
§ IT in react mode not proactively dictating strategy

3. Technology trends within IBM customer base
Risk/ROI
Legacy Technologies – IBM Stack*
• JEE / WebSphere
• DB2 / Oracle
• CICS / MQ
• System z, Power
Cloud / APIs / Containers
• Microservices
• Java / JS / Python
• Kubernetes / Docker
Pivotal
Spring Boot Microprofile.io
• Spark
• OpenWhisk
• Scala / Reactive Platform
• Istio
• Lagom
Cognitive Applications
High data volume / high data velocity
Microservices + Reactive
* Same trends apply to legacy Microsoft stack

4. “Scala Zone”
IBM/Lightbend Initial Alignment
Reactive
Systems
Cognitive
“Fast Data”
Applications
Big
Data
Increasing requirements for scalability & resilience
Increasing complexity
Increasing requirements for streaming vs. batch
Microservices
Scalable
Deployment on
Bluemix
Reactive
Development
with WAS
Data Science
with DSX & HDP