Request-response communication with REST / HTTP is simple, well understood, and supported by most technologies, products, and SaaS cloud services. Contrarily, data streaming with Apache Kafka is a fundamental change to process data continuously. HTTP and Kafka complement each other in various ways. This post explores the architectures and use cases to leverage request-response together with data streaming in the control plane for management or in the data plane for producing and consuming events.
Data Mesh is a new architecture paradigm that gets a lot of buzzes these days. This blog post looks into this principle deeper to explore why no single technology is the perfect fit to build a Data Mesh. Examples show why an open and scalable decentralized real-time platform like Apache Kafka is often the heart of the Data Mesh infrastructure, complemented by many other data platforms to solve business problems.
This post explores why Apache Kafka is the new black for integration projects, how Kafka fits into the discussion around cloud-native iPaaS solutions, and why event streaming is a new software category. A concrete real-world example shows the difference between event streaming and traditional integration platforms respectively iPaaS.
Event Streaming with Apache Kafka and API Management / API Gateway solutions (Apigee, Mulesoft Anypoint, Kong, TIBCO Mashery,…
After three great years at TIBCO Software, I move back to open source and join Confluent, the company behind the open source project Apache Kafka to build mission-critical, scalable infrastructures for messaging, integration and stream processsing. In this blog post, I want to share why I see the future for middleware and big data analytics in open source technologies, why I really like Confluent, what I will focus on in the next months, and why I am so excited about this next step in my career.
Agile Cloud-to-Cloud Integration with iPaaS, API Management and Blockchain. Scenario use case using IBM’s open source Hyperledger Fabric on BlueMix, TIBCO Cloud Integration (TCI) and Mashery.
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.
Case Study: How to Move from a (Middleware) Monolith to Cloud, Containers and Microservices leveraging Docker, Cloud Foundry, Kubernetes, Consul, Hystrix, API Management, and others cool things.
Comparison of Open Source IoT Integration Frameworks such as Eclipse Kura (+ Apache Camel), Node-RED, Flogo, Apache Nifi, StreamSets, and others… (slide and video recording)