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The white paper "Patterns and Use Cases for In-Memory Data Grids" is no longer available on Infoq.com; However we invite you to explore the related content below.

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Crafting Your Cloud-Native Strategy - Free eBook Download

This eBook shares cloud-native practices and technologies to fully automate the application stack infrastructure layers. It also covers lessons and advice from case studies to help change your organization.

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16 Ways to Protect Your Cloud from Ransomware

In this ebook, we look at the different pieces of the cloud stack and address their unique security needs with precautions that enterprises should take to make their environment far more resistant to ransomware threats.

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High-Performance Data Architectures for the Internet of Things

This white paper discusses the challenges caused by typical approaches to IoT data architecture and its associated resource requirements. You will also learn how the GridGain in-memory computing platform can simplify this architecture and reduce your team’s learning curve.

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The Ultimate DevOps Toolkit

This e-book breaks down the various foundational components that build up the transition to DevOps within an enterprise. It also introduces the continuous life cycle that maintains the integration and collaboration needed to deliver an exceptional end user experience with your applications.

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Deploy, operate, and scale a MongoDB database in the cloud with just a few clicks.

MongoDB Atlas provides you with the performance you need for your most demanding workloads. When your data grows or your application performance demands increase, the service allows you to scale out your deployment with an automated sharding process that ensures zero application downtime.

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Microservices vs. Service-Oriented Architecture (By O'Reilly) - Download Now

So, what sets them apart? Are microservices really just “SOA done right”? How do the two approaches differ? More importantly, are microservices really better than SOA, or are we doomed to repeat the same mistakes of the past?

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