Remove Events Remove Microservices Remove Serverless
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Azure container Apps: The future of Microservices in Azure?

Xebia

Combining these two trends in the market explains why technologies such as Serverless became popular. Serverless helps in reducing the amount of moving parts you must manage as a development team. . What are the features that development teams want when building and hosting microservices?

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Modernizing on AWS: Strategies, Benefits, and Partnerships with Xebia

Xebia

This may include breaking monolithic applications into microservices, containerizing applications using Docker and Kubernetes, or adopting serverless computing with AWS Lambda. Adoption of Cloud-Native Technologies: Companies embrace cloud-native technologies such as containers, serverless computing, and microservices architecture.

AWS 130
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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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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

With serverless being all the rage, it brings with it a tidal change of innovation. or invest in a vendor-agnostic layer like the serverless framework ? or invest in a vendor-agnostic layer like the serverless framework ? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

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5 Questions to Ask Before Going Serverless

Modus Create

When serverless architecture became all the rage a few years ago, we wondered whether it was just marketing hype. Was serverless really cloud 2.0 Serverless architecture’s popularity has risen over the past 5 years. While serverless brings immense benefits to businesses, it’s important not to rush into it.

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Dynamic Data Processing Using Serverless Java With Quarkus on AWS Lambda (Part 1)

Dzone - DevOps

With the growth of the application modernization demands, monolithic applications were refactored to cloud-native microservices and serverless functions with lighter, faster, and smaller application portfolios for the past years.

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Serverless NiFi Flows with DataFlow Functions: The Next Step in the DataFlow Service Evolution

Cloudera

With DFF, users now have the choice of deploying NiFi flows not only as long-running auto scaling Kubernetes clusters but also as functions on cloud providers’ serverless compute services including AWS Lambda, Azure Functions, and Google Cloud Functions. New use cases: event-driven, batch, and microservices.