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:
In the age of digitization, the concept of pricing is no longer fixed or manual.…
In the rapidly evolving landscape of intelligent traffic systems, innovative software provides real-time processing capabilities,…
In the fast-paced world of finance, the ability to prevent fraud in real-time is not…
Choosing between Apache Kafka, Azure Event Hubs, and Confluent Cloud for data streaming is critical…
In today's data-driven world, understanding data at rest versus data in motion is crucial for…
If you ask your favorite large language model, Microsoft Fabric appears to be the ultimate…