How do you decide how big or small to make #microservices? This article by @dangerbyca looks at the design considerations in making that decision: https://t.co/38Vvg1KrhK
From @MyTotalRetail: "3 Ways Fast Data Helps Retailers Deliver Rich Customer Experiences" by Streamlio's @karthikz discusses ways retailers can use real-time data processing to deliver an Amazon experience and better to their customers. https://t.co/MEhXqUvvLH
#fastdata
#Serverless technologies are increasingly becoming useful in data #analytics. This article in @TDataScience discusses how models can be deployed using serverless function frameworks and provides examples of how it can be done in #GoogleCloud. https://t.co/LaJbwkCKmC
Article in @InfoQ takes a look at the rapid adoption of #containers and #kubernetes for #microservices applications and their relationship to hypervisor technology, as well as future directions in management. https://t.co/aTjuDrmORr
Article from @RTInsights "Continuous Intelligence Requires an Event-Driven Architecture" looks at the key concepts and models in #eventdriven architecture: https://t.co/fsWOanuO1H
"7 Reasons We Choose Apache Pulsar Over Apache Kafka" compares the two technologies and where #ApachePulsar differentiates from #ApacheKafka. https://t.co/DyfceFVrzz
A look at latency benchmark testing results comparing the #ApacheKafka and #ApachePulsar messaging systems. Spoiler: "For latency-sensitive workloads, Pulsar is the overall winner." https://t.co/WfIXlF5fTs
"Beware the Pitfalls of Applying AI to Big Data" in @InformationWeek looks at the risks created by biases in data including selection bias and confounding bias, and recommendations on how to address them. https://t.co/3YZtLSLdlC
From @TDataScience: an overview of #microservices architecture focused on where it has important benefits and advantages over monolithic development: https://t.co/8eBClviWaG