Right Technology, Framework or Tool to Build Microservices

Last week, I gave a talk at a German conference (Karlsruher Entwicklertag 2015) about Microservices. The following slide deck shows plenty of different technologies (e.g. REST, WebSockets), frameworks (e.g. Apache CXF, Apache Camel, Puppet, Docker) or tools (e.g. TIBCO BusinessWorks, API Exchange) to realize Microservices.

Abstract: How to Build Microservices

Microservices are the next step after SOA: Services implement a limited set of functions. Services are developed, deployed and scaled independently. This way you get shorter time to results and increased flexibility.

Microservices have to be independent regarding build, deployment, data management and business domains. A solid Microservices design requires single responsibility, loose coupling and a decentralized architecture. A Microservice can to be closed or open to partners and public via APIs.

This session discusses technologies such as REST, WebSockets, OSGi, Puppet, Docker, Cloud Foundry, and many more, which can be used to build and deploy Microservices. The main part shows different open service frameworks and tools to build Microservices on top of these technologies. Live demos illustrate the differences. The audience will learn how to choose the right alternative for building Microservices.

Key Messages: Integration, Real Time Event Correlation, TCO, Time-to-Market

I used three key messages within my talk to explain the complexity and variety of different Microservice concepts:

Integration is key for success of Microservices
Real time event correlation is the game changer
TCO and Time-to-Market are major aspects for tool selection

Slide Deck

Here is the slide deck, which I presented at Karlsruher Entwicklertag in Germany:

Click on the button to load the content from www.slideshare.net.

Load content

Kai Waehner

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

Recent Posts

When (Not) to Use Queues for Kafka?

Apache Kafka has long been the foundation for real-time data streaming. With the release of…

3 days ago

Diskless Kafka at FinTech Robinhood for Cost-Efficient Log Analytics and Observability

Diskless Kafka is transforming how fintech and financial services organizations handle observability and log analytics.…

1 week ago

Shift Left in Automotive: Real-Time Intelligence from Vehicle Telemetry with Data Streaming at Rivian

Rivian and Volkswagen, through their joint venture RV Tech, process high-frequency telemetry from connected vehicles…

2 weeks ago

Etihad Airways Makes Airline Operations Real-Time with Data Streaming

Airlines face constant pressure to deliver reliable service while managing complex operations and rising customer…

3 weeks ago

Stream Processing on the Mainframe with Apache Flink: Genius or a Glitch in the Matrix?

Running Apache Flink on a mainframe may sound surprising, but it is already happening and…

1 month ago

10 FinTech Predictions That Depend on Real Time Data Streaming

Financial services companies are moving from batch processing to real time data flow. A data…

2 months ago