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.
JavaOne 2016 Trends: Besides focus on Java platform updates (Java 9, Java EE 8, etc.), I saw three hot topics, which are highly related to each other: Microservices, Docker and Cloud. I also talked about this topic from a middleware perspective. See my slides and lessons learned.
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!
This article discusses my talk at JPoint in Moscow about: “Microservices, Containers, Docker and a Cloud-Native Architecture in the Middleware World”.
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).
These slides show and compare the three alternative integration frameworks Apache Camel (JBoss, Talend), Spring Integration (Pivotal) and Mule ESB, and discuss their pros and cons. Besides, a recommendation will be given when to use a more powerful Enterprise Service Bus (ESB) instead of one of these frameworks.
Slides from my session “Big Data beyond Apache Hadoop – How to Integrate ALL your Data” at JavaOne 2013 in San Francisco are online.