Cloud Native Middleware Microservices – 10 Lessons Learned (O’Reilly Software Architecture 2017, New York)

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.

Load content

Video Recordings / Live Demos

Two video recordings which demo how to apply the discussed lessons learned with middleware and open source frameworks:

Kai Waehner

bridging the gap between technical innovation and business value for real-time data streaming, processing and analytics

Recent Posts

Apache Flink: Overkill for Simple, Stateless Stream Processing and ETL?

Discover when Apache Flink is the right tool for your stream processing needs. Explore its…

4 days ago

Virgin Australia’s Journey with Apache Kafka: Driving Innovation in the Airline Industry

Data streaming with Apache Kafka and Flink is transforming the airline industry, enabling real-time efficiency…

2 weeks ago

Stateless vs. Stateful Stream Processing with Kafka Streams and Apache Flink

The rise of stream processing has changed how we handle and act on data. While…

3 weeks ago

How Siemens Healthineers Leverages Data Streaming with Apache Kafka and Flink in Manufacturing and Healthcare

Siemens Healthineers, a global leader in medical technology, delivers solutions that improve patient outcomes and…

1 month ago

My Road to Lufthansa HON Circle Status in 2025

Discover my journey to achieving Lufthansa HON Circle (Miles & More) status in 2025. Learn…

1 month ago

The Data Streaming Landscape 2025

Data streaming is a new software category. It has grown from niche adoption to becoming…

1 month ago