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Effective Communication Strategies Between Microservices: Techniques and Real-World Examples

Dzone - DevOps

Building scalable systems using microservices architecture is a strategic approach to developing complex applications. Microservices allow teams to deploy and scale parts of their application independently, improving agility and reducing the complexity of updates and scaling.

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Top 10 Frameworks for Developing Enterprise Applications

OTS Solutions

Enterprise application development projects have been transforming all industries such as healthcare, education, travel, hospitality, etc. Experts predicted that the framework-based application development market can grow by  $527.40 What are Enterprise Applications? billion by 2030.

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Top 10 Frameworks for Developing Enterprise Applications

OTS Solutions

Enterprise application development projects have been transforming all industries such as healthcare, education, travel, hospitality, etc. Experts predicted that the framework-based application development market can grow by  $527.40 What are Enterprise Applications? Top 10 Most Popular Frameworks for Enterprise Applications 1.

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Scalable Annotation Service?—?Marken

Netflix Tech

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. For example, we have a service that stores a movie entity’s metadata or a service that stores metadata about images. Movie Entity with id 1234 has violence.

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Build scalable Low-Code backends with Booster

The Agile Monkey

However, these tools may not be suitable for more complex data or situations requiring scalability and robust business logic. In addition, the iOS application built for this tutorial is available on the App Store. This helps to create a backend that is more scalable, maintainable, and adaptable to changing business needs.

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Data pipeline components are just normal applications

Xebia

A data pipeline component is nothing more than a normal application. Example data pipeline: ELT. It goes through the same lifecycle as any other application: the component is developed and tested, an artifact is built and finally it gets deployed. Scalability. The artifact is then run as part of your data pipeline.

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Data pipeline components are just normal applications

Xebia

A data pipeline component is nothing more than a normal application. Example data pipeline: ELT. It goes through the same lifecycle as any other application: the component is developed and tested, an artifact is built and finally it gets deployed. Scalability. The artifact is then run as part of your data pipeline.