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Microservices Done Right, Part 2: More Antipatterns to Avoid

Accenture

Microservices architecture has become popular over the last several years. Many organizations have seen significant improvements in critical metrics such as time to market, quality, and productivity as a result of implementing microservices. Recently, however, there has been a noticeable backlash against microservices.

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Lexmark International’s Vishal Gupta on next gen tech leadership

CIO

This also means we can provide predictive maintenance solutions for other industries with connected products, like transportation and medical devices.” With Optra, we’re using the same technology that drove outcomes in our core imaging business and applying it to other manufacturers, retailers, and transportation companies,” he says.

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Event-Driven Architecture and Pub/Sub Pattern Explained

Altexsoft

These days, it’s getting more common for application designs to be built on an event-driven architecture. In this article, we’re going to talk about event-driven architecture (EDA) and its most commonly used messaging pattern, publish/subscribe (pub/sub). Understanding event-driven architecture and pub/sub.

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

CIO

Supply chain With companies trying to stay lean with just-in-time practices, it’s important to understand real-time market conditions, delays in transportation, and raw supply delays, and adjust for them as the conditions are unfolding. Cloud-native apps, microservices and mobile apps drive revenue with their real-time customer interactions.

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Microservices Anti-patterns: It’s All About the People

OpenCredo

It’s been a few years since I first wrote The Seven Deadly Sins of Microservices after working on a few early microservices projects and noticing a number of common pitfalls. Indeed, quite a few of the anti-patterns we observe today on microservices projects are strongly related to how people approach the problem.

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Apache Kafka and the Denodo Platform: Distributed Events Streaming Meets Logical Data Integration

Data Virtualization

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential. Reading Time: 3 minutes More and more companies are managing messages and events in real time using tools like Apache Kafka.

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How Netflix uses eBPF flow logs at scale for network insight

Netflix Tech

Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. The choice of transport protocols like GRPC, HTTPS & UDP is runtime dependent on characteristics of the instance placement. What is BPF?

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