Remove .Net Remove AWS Remove Lambda Remove Metrics
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Benchmarking AWS Lambda runtimes in 2019 (part I)

The Agile Monkey

Have you ever wondered whether your AWS Lambda could be faster if you used a different runtime? AWS Lambda allows us to execute code in the cloud without needing to provision anything. As an addition to all the available runtimes in AWS Lambda, AWS announced Custom Runtimes at Re:Invent 2018.

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Benchmarking AWS Lambda runtimes in 2019 (Part II)

The Agile Monkey

We continue benchmarking AWS Lambda… In Part I of this blog we tested the performance of a Hello World example for 8 different runtimes and got us some very interesting metrics. CRUD (Create Read Update Delete) operations in a NoSQL database like AWS DynamoDB. NET 2.1), and Haskell. NET 2.1), and Haskell.

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Going Serverless: Comparing Cloud Providers

Gorilla Logic

The three cloud providers we will be comparing are: AWS Lambda. AWS Lambda. Pricing: AWS Lambda (Lambda) implements a pay-per-request pricing model: Meter. . This allows expenses to be easily tracked and monitored so that your Lambda-specific budget can be kept under control. . Google Cloud.

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How to Effectively Scale Up Your App To Handle 1 Million Users?

Xicom

Before something strange begins to happen, your user’s loyalty starts dropping and the audience starts uninstalling your app, it’s time to look for the tips to scale up an app on AWS…. Now you must be wondering why we have chosen AWS over others? Here’s the answer to your question…. Let’s get started….

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Lerner?—?using RL agents for test case scheduling

Netflix Tech

Lerner, as a web-service, relies on Amazon Web Services (AWS) and Netflix’s Open Source Software (OSS) tools. Lerner uses AWS services to store binary versions of the agents, agent configurations, and training data. Lerner uses AWS services to store binary versions of the agents, agent configurations, and training data.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning - AI

When answering a new question in real time, the input question is converted to an embedding, which is used to search for and extract the most similar chunks of documents using a similarity metric, such as cosine similarity, and an approximate nearest neighbors algorithm. The search precision can also be improved with metadata filtering.

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly Media - Ideas

Because we’re doing simple pattern matching against titles, usage for “AWS security” is a subset of the usage for “security.” Adding usage and search query data for Spring (up 7%) reverses Java’s apparent decline (net-zero growth). AWS Lambda) only change the nature of the beast. Starting with Python 3.0 FaaS, a.k.a.