In this guide, we'll walk through the process of building microservices using .NET Core and Apache Kafka, with a focus on a real-time order processing scenario. By leveraging Kafka for messaging and event-driven
Ja-micro is a lightweight Java framework for building microservices. Introduction Ja-micro is a framework that allows developers to easily develop microservices in Java. It was developed at Sixt, primarily over the course of 2016, during a push to create a new platform. That platform was starte...
Kafka NATS.io AWS SNS/SQS Google Cloud Pub/Sub Summary Continuous Delivery What is continuous delivery? Manual deployment The benefits of continuous delivery Aspects of continuous delivery Reproducibility and consistency Artifact storage Automation of tests Automation of integration tests Infrastructure as co...
That is it for now. In later posts, we will continue to navigate through the pattern language and describe other important decisions that you must make when using the microservice architecture. Posted inmicroservices|Taggedarchitecture,microservice architecture,microservices,pattern language,patterns|1 Co...
Introduction, Spark, Spark Notebook, and Kafka Assignment #1 Day 2 Streaming: Spark, Kafka, and Cassandra Data analysis and external libraries Assignment #2 Day 3 Microservices, cluster management, job orchestration, and live demo of end-to-end distributed pipeline Final discussion & wrap upThe...
Kafka is a crucial component to having an event-driven, time-ordered, highly available, and fault-tolerant space of data. A key thing to bear in mind -Kafka is designed to operate in private networks (intranet), enabling streams of data to flow between microservices, databases, and other ty...
Introduction to Microservices Building Microservices: Using an API Gateway Building Microservices: Inter-Process Communication in a Microservices Architecture (this article) Service Discovery in a Microservices Architecture ...
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TEQ's APIs include JMS, Java, PL/SQL, C, and Kafka Java client. TEQ serves the purpose of an event store and event broker, where each microservice maintains an incoming event queue to subscribe to other Microservices' outgoing queues, and an outgoing queue to examine the incoming event, ...
Java runtimes (Quarkus, Spring Boot), event-driven architecture with Apache Kafka, integration with Apache Camel, SSO, APIs, microservices, and more. Developers will also be able to build, deploy, and scale intelligent applications using Red Hat OpenShift Data Science and Intel's AI/ML ...