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NetOps for Application Developers: Understanding the Importance of Network Operations in Modern Development

Kentik

As these applications scale, and engineering for reliability comes into the forefront, DevOps engineers begin to rely on networking concepts like load balancing, auto-scaling, traffic management, and network security. Following are a few key ways NetOps and DevOps can collaborate to make more reliable systems.

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Implementing the Netflix Media Database

Netflix Tech

In this post we will provide details of the NMDB system architecture beginning with the system requirements?—?these these will serve as the necessary motivation for the architectural choices we made. For example, “requests-per-second” (RPS) is commonly used to auto-scale micro services to serve increased reads or queries.

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The Case for PostgreSQL®

Instaclustr

Performance numbers, system health, and growth projections are derived from the decomposed data elements. Reporting typically a subset of the data in a warehouse that is dedicated to a particular consumer with nice charts and graphs to show key business metrics. How many other pieces of architecture have to be designed to go with that?

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Optimizing AI responsiveness: A practical guide to Amazon Bedrock latency-optimized inference

AWS Machine Learning - AI

To effectively optimize AI applications for responsiveness, we need to understand the key metrics that define latency and how they impact user experience. These metrics differ between streaming and nonstreaming modes and understanding them is crucial for building responsive AI applications. Haiku and Metas Llama 3.1 70B models.