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Reinforcing Networks: Advancing Resiliency and Redundancy Techniques

Kentik

That’s where network resiliency and redundancy come into play, helping network planners construct robust and efficient networks. Segment routing (SR) has also emerged as a powerful approach to enhance network performance and reliability. But do we always need 100% redundancy to achieve resilience? Let’s find out.

Network 97
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VM-Series Virtual Firewalls Integrate With AWS Gateway Load Balancer

Palo Alto Networks

Security scalability, meet cloud simplicity. It’s why, for example, many organizations move their business-critical applications to the cloud: AWS seamlessly provides elastic scalability to accommodate spikes in application usage – while simultaneously ensuring that their customers only pay for what they use. .

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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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Nearshore Cloud Computing and Security: Azure Migration

iTexico

The cloud is made of servers, software and data storage centers that are accessed over the Internet, providing many benefits that include cost reduction, scalability, data security, work force and data mobility. Applied a load balancer on all layers in a fourth instance to address high traffic. About The Company. How We Did It.

Azure 10
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Engineering dependability and fault tolerance in a distributed system

High Scalability

Each invocation of service can be performed independently of any previous invocation. Wherever possible, layers are designed to be stateless as a key enabler not only of availability, but also of scalability. You have to have a way of detecting resource availability, and to load-balance among redundant resources.

System 86
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A Quick Introduction to Microservices

Perficient

Unscalable – Applications are not easily scalable since every time they need to be updated, the entire system must be rebuilt. Slow development – Since every feature must be constructed one at a time, monolithic applications take a long time to develop.

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

Blue Sentry

Even construction companies — who have a tendency to struggle with change management — are finding value in machine learning across a variety of use cases, including supply chain management, inventory control, and safety management. Many go over budget, over time, and get trapped in the bottomless pit of scalability.