This post shares a slide deck and video recording of the differences between an event-driven streaming platform like Apache Kafka and middleware like Message Queues (MQ), Extract-Transform-Load (ETL) and Enterprise Service Bus (ESB).
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.
Log Analytics is the right framework or tool to monitor for Distributed Microservices. Comparison of Open source, SaaS and Enteprrise Products. Plus relation to big data components such as Apache Hadoop / Spark.
This article shows the different components available for a Hybrid Integration Architecture. The goal is not to discuss different vendor offerings but to explain different concepts and benefits of each component in general and how they relate to each other. Including concepts such as Hybrid Integration Platform (HIP), Cloud-Native Middleware, PaaS, Docker, iPaaS, iSaaS, API Management, and others.
This article discusses how relevant microservices, containers and a cloud-native architecture is for middleware. It is unbelievable how fast enterprises of all sizes are moving forward with these topics!
An intelligent business process (iBPM, iBPMS) combines big data, analytics and business process management (BPM) – including case management! This post implements a use case using big data / fast data analytics with TIBCO ActiveMatrix BPM, BusinessWorks, StreamBase, Spotfire and Tibbr.
Use Cases and Success Stories for In-Memory Data Grids, e.g. TIBCO ActiveSpaces, Oracle Coherence, Infinispan, IBM WebSphere eXtreme Scale, Hazelcast, Gigaspaces, GridGain, Pivotal Gemfire (Presentation by Kai Wähner at NoSQL Matters 2014 in Barcelona) – NOT SAP HANA 🙂
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