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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

Over the past few years, we have witnessed that the use of Microservices as a means of driving agile best practices and accelerating software delivery, has become more and more commonplace. Key Features of Microservices Architecture. Microservices architecture follows the decentralized data management.

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PeopleSoft on AWS: Understanding Design Methods and Scaling Functionality

Datavail

With the rapidly increasing adoption of cloud computing solutions, deploying PeopleSoft applications on Amazon Web Services (AWS) has become extremely popular for modern businesses trying to improve the flexibility and scalability of their business processes. Studies have shown that AWS currently has more than 1 million users.

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10 top AWS resources on O’Reilly’s online learning platform

O'Reilly Media - Ideas

Our most-used AWS resources will help you stay on track in your journey to learn and apply AWS. We dove into the data on our online learning platform to identify the most-used Amazon Web Services (AWS) resources. These are the items our platform subscribers regularly turn to as they apply AWS in their projects and organizations.

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Scaling my application: am I ready?

CircleCI

For instance, it may need to scale in terms of offered features, or it may need to scale in terms of processing or storage. But at some point it becomes impossible to add more processing power, bigger attached storage, faster networking, or additional memory. Scaling data storage. Scaling file storage. Automate first.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

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Kubernetes and Artificial Intelligence/Machine Learning (AI/ML) — Four Things to Understand Today

Blue Sentry

For example, we help companies launch incredible ML workloads on AWS. increasing computing power) is quickly solved by AWS. In fact, you can use hyperscale clusters with +4,000 GPUs, Petabit-scale networking, and insanely low-latency storage. You just need to find a company to help you integrate AWS into your core.

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Implementing a Cost-aware Cloud Networking Infrastructure

Kentik

For example, a particular microservice might be hosted on AWS for better serverless performance but sends sampled data to a larger Azure data lake. This might include caches, load balancers, service meshes, SD-WANs, or any other cloud networking component. The resulting network can be considered multi-cloud.

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