Tag Archives: Microservices

Building a recommendation system with Spark is a simple task. Spark’s machine learning library already does all the hard work for us. In this study I will show you how to build a scalable application for Big Data using the following technologies: Scala LanguageSpark with Machine LearningAkka with ActorsCassandra A recommendation system is an information filtering mechanism that attempts to ...

Microservice architectures are not free lunch! Microservices need to be decoupled, flexible, operationally transparent, data aware and elastic. Most material from last years only discusses point-to-point architectures with tightly coupled and non-scalable technologies like REST / HTTP. This blog post takes a look at cutting edge technologies like Apache Kafka, Kubernetes, Envoy, Linkerd and Istio to implement a cloud-native service ...

1. Introduction This part of the tutorial is going to conclude the observability discussions by dissecting its last pillar, distributed tracing. Distributed tracing, also called distributed request tracing, is a method used to profile and monitor applications, especially those built using a microservices architecture. Distributed tracing helps pinpoint where failures occur and what causes poor performance. – https://opentracing.io/docs/overview/what-is-tracing/ Table Of ...

When discussing the development impact on existing applications while transitioning to microservices, there are five questions that keep popping up in one form or another. They are the same regardless of the size of the organization and seem to become part of strategy discussions later in the process as organizations move towards microservice architectures. These articles cover questions that everyone ...

When discussing the development impact on existing applications while transitioning to microservices, there are five questions that keep popping up in one form or another. They are the same regardless of the size of the organization and seem to become part of strategy discussions later in the process as organizations move towards microservice architectures. These articles cover questions that everyone ...

When discussing the development impact on existing applications while transitioning to microservices, there are five questions that keep popping up in one form or another. They are the same regardless of the size of the organization and seem to become part of strategy discussions later in the process as organizations move towards microservice architectures. These articles cover questions that everyone ...

When discussing the development impact on existing applications while transitioning to microservices, there are five questions that keep popping up in one form or another. They are the same regardless of the size of the organization and seem to become part of strategy discussions later in the process as organizations move towards microservice architectures. These articles cover questions that everyone ...

One of the joys of my role is that I’m often talking to customers (or potential customers) about their concerns, their plans, and their strategies for moving their business forward based on open source technologies. When discussing the application development impact on existing developed applications and transitioning to microservices there are five questions that keep popping up in one form ...

Standard Java Maps needs to be initialized upon startup. Learn how to leverage ChronicleMaps that is initializable from a file and reduce microservice startup times significantly and how to share Maps between JVMs. The built-in Map implementations, such as HashMap and ConcurrentHashMap are fast but they must be initialized with mappings before they can be used for looking up values. ...