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Building Resilient Public Networking on AWS: Part 2

Xebia

Fargate Cluster: Establishes the Elastic Container Service (ECS) in AWS, providing a scalable and serverless container execution environment. Second CDK Stage- Web Container Deployment Web Container Deployment: Utilizes the Fargate Cluster to deploy web container tasks, ensuring scalable and efficient execution.

AWS 147
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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning - AI

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

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Atlassian – Self-hosted Cloud versus Self-hosted In House, What’s Better?

Modus Create

The following matrix provides a comparison of the two key products and some of the features available: The licensing model also differs between these two deployment options. The ability to run Synchrony as a separate scalable EC2 instance. The ability to run Synchrony as a separate scalable EC2 instance. Source: Atlassian.

Cloud 13
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Can VPC Lattice replace AWS Transit Gateway?

Xebia

Transit VPCs are a specific hub-and-spoke network topology that attempts to make VPC peering more scalable. It is for this reason that the title of this blog post draws a comparison between VPC Lattice and AWS Transit Gateway. This resembles a familiar concept from Elastic Load Balancing. The answer is: maybe.

AWS 130
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AWS vs Azure vs Google Cloud: What’s the best cloud platform?

Openxcell

In comparison of AWS, GCP, and Azure’s capabilities and maturity, AWS is now significantly larger than both Azure and Google Cloud Platform. Comparison of AWS, Google Cloud Platform, and Azure: Pricing It can be difficult to compare prices between different cloud providers.

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Node.js vs. React.js comparison guide – What to pick for your next development project?

Openxcell

Conditional dependencies and app scalability were issues with the platform. The architecture allows them to scale up in response to increased demand for their services. is scalable because it uses a single-threaded design with event looping. server to respond non-blocking and scalable. They chose Node.js Single-threaded.

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The Good and the Bad of the Elasticsearch Search and Analytics Engine

Altexsoft

How Elasticsearch works: Core concepts The architecture of Elasticsearch is built to be distributed, meaning its capabilities, including storing data, executing searches, and processing analytics, are not limited to a single machine or server. Key components of the Elasticsearch architecture.