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Evaluating a Microservice Architecture

Tandem

Microservice architecture has been a hot topic in the realm of software development for a while now. This blog post will provide a balanced view of the advantages and disadvantages of microservice architecture for enterprise software systems. However, like any technology, it has its strengths and weaknesses.

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Tandem Roundtable: Microservices Vs. Monolithic Architecture

Tandem

What experience do you have with either microservices or monolithic architecture? Darcy: Most of my experience has been with monolithic architecture. One of the student workers at my last job, who was very ambitious, was trying to sell my team on breaking up our services into microservices.

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Collibra Employs Microservices for Data Management

DevOps.com

Collibra has launched a Collibra Data Intelligence Cloud based on a microservices architecture that promises to alter the way data is managed in enterprise IT environments. The post Collibra Employs Microservices for Data Management appeared first on DevOps.com. In fact, there may […].

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Policy Enforcement and Data Quality for Apache Kafka With Schema Registry

Dzone - DevOps

Good data quality is one of the most critical requirements in decoupled architectures, like microservices or data mesh. Apache Kafka became the de facto standard for these architectures. Hence, Apache Kafka became the de facto standard for microservice and data mesh architectures.

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Tutorial 3 – Using Spring Boot – Publish Microservice to Eureka Server and Type of Client Components

Perficient

To access previous blog, click this link: – Tutorial 02 – Spring Cloud – Netflix Eureka Server Publish Microservice to Eureka Server Every Microservice must be published/ registered with Eureka Server (R&D Server) by becoming Eureka Client We must create a microservice using Spring Rest Controller to offer support.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. What are some of the reasons that TAI Solutions’ customers choose Cloudera?