I want to share my slide deck and video recordings from the talk “10 Lessons Learned from Building Cloud Native Middleware Microservices” at O’Reilly Software Architecture April 2017 in New York, USA in April 2017.
Abstract
Microservices are the next step after SOA: Services implement a limited set of functions; services are developed, deployed, and scaled independently; continuous delivery automates deployments. This way you get shorter time to results and increased flexibility. Containers improve things even more, offering a very lightweight and flexible deployment option.
In the middleware world, you use concepts and tools such as an enterprise service bus (ESB), complex event processing (CEP), business process management (BPM), or API gateways. Many people still think about complex, heavyweight central brokers. However, microservices and containers are not only relevant for custom self-developed applications but are also a key requirement to make the middleware world more flexible, Agile, and automated.
Kai Wähner shares 10 lessons learned from building cloud-native microservices in the middleware world, including the concepts behind cloud native, choosing the right cloud platform, and when not to build microservices at all, and leads a live demo showing how to apply these lessons to real-world projects by leveraging Docker, CloudFoundry, and Kubernetes to realize cloud-native middleware microservices.
Slide Deck
Here is the slide deck “10 Lessons Learned from Building Cloud Native Middleware Microservices“:
Click on the button to load the content from www.slideshare.net.
Video Recordings / Live Demos
Two video recordings which demo how to apply the discussed lessons learned with middleware and open source frameworks:
The rise of Electric Vehicles (EVs) demands a scalable, efficient charging network—but challenges like fluctuating…
Apache Kafka 4.0 represents a major milestone in the evolution of real-time data infrastructure. Used…
Agentic AI marks a major evolution in artificial intelligence—shifting from passive analytics to autonomous, goal-driven…
Industrial enterprises face increasing pressure to move faster, automate more, and adapt to constant change—without…
As real-time technologies reshape IT architectures, software vendors face a critical decision: specialize deeply in…
Batch processing introduces delays, complexity, and data quality issues that modern businesses can no longer…