Machine Learning Applied to Microservices
Kai Waehner
Build intelligent Microservices by applying Machine Learning and Advanced Analytics. Leverage Apache Hadoop / Spark with Visual Analytics and Stream Processing.
Browsing Category
Big Data
56 posts
Comparison Of Log Analytics for Distributed Microservices – Open Source Frameworks, SaaS and Enterprise Products
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.
Characteristics of a Good Visual Analytics and Data Discovery Tool
Several tools are available on the market for Visual Analytics and Data Discovery. Three of the most well known options are Tableau, Qlik and TIBCO Spotfire. This post shows important characteristics to compare and evaluate these tools.
Streaming Analytics with Analytic Models (R, Spark MLlib, H20, PMML)
Closed Big Data Loop: 1) Finding Insights with R, H20, Apache Spark MLlib, PMML and TIBCO Spotfire. 2) Putting Analytic Models into Action via Event Processing and Streaming Analytics.
Framework and Product Comparison for Big Data Log Analytics and ITOA
Slide deck from OOP 2016: Comparison of Frameworks and Products for Big Data Log Analytics and ITOA, e.g. Open Source ELK, TIBCO LogLogic / Unity, Splunk, Papertrail; Relation to Hadoop is also discussed.
Microservices = Death of the ESB? (2016, Meetup Dublin)
I was invited to speak at Microservices Meetup Dublin this week. I updated my slide deck “Microservices – Death of the ESB?”
Difference between a Data Warehouse and a Live Datamart?
Data Warehouses have existed for many years in almost every company. While they are still as good and relevant for the same use cases as they were 20 years ago, they cannot solve new, existing challenges and those sure to come in a ever-changing digital world. The upcoming sections will clarify when to still use a Data Warehouse and when to use a modern Live Datamart instead.
Right Technology, Framework or Tool to Build 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.
TIBCO BusinessWorks and StreamBase for Big Data Integration and Streaming Analytics with Apache Hadoop and Impala
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.
Microservices and DevOps with TIBCO Products
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.
