In 2015, the middleware world focuses on two buzzwords: Docker and Microservices. Software vendors still sell products such as an Enterprise Service Bus (ESB) or Complex Event Processing (CEP) engines. How is this related? This session discusses the requirements, best practices and challenges for creating a good Microservices architecture, and if this spells the end of the Enterprise Service Bus (ESB).
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.
Apache Hadoop is getting more and more relevant. Not just for big data processing (e.g. MapReduce), but also in fast data processing (e.g. stream processing). Recently, I published two blog posts on the TIBCO blog to show how you can leverage TIBCO BusinessWorks 6 and TIBCO StreamBase to realize big data and fast data Hadoop use cases.
Challenges, requirements and best practices for creating a good Microservicess architecture, and what role an Enterprise Service Bus (ESB) plays in this game.
Everybody is talking about Microservices these days. This article explains how you can create, deploy and monitor Microservices with TIBCO products: ActiveMatrix BusinessWorks, Silver Fabric, TEA, API Exchange. TIBCO uses concepts and technologies such as DevOps, Continuous Delivery, REST, SOAP, Micro Service. TIBCO also supports tools such as Chef, Puppet, Docker, Amazon Cloud, VMWare, OpenStack, etc.
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 🙂
Open API represent the leading edge of a new business model, providing innovative ways for companies to expand brand value and routes to market, and create new value chains for intellectual property. In the past, SOA strategies mostly targeted internal users. Open APIs target mostly external partners.
This session introduces the concepts of Open API, its challenges and opportunities. API Management will become important in many areas, no matter if business-to-business (B2B) or business-to-customer (B2C) communication. Several real world use cases will discuss how to gain leverage due to API Management. The end of the session shows and compares API management products from different vendors such as TIBCO API Exchange, IBM, Apigee, 3scale, WSO2, MuleSoft, Mashery, Layer 7, Vordel
The article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from. Comparison of open source and proprietary stream processing / streaming analytics alternatives: Apache Storm, Spark, IBM InfoSphere Streams, TIBCO StreamBase, Software AG’s Apama, etc.