AWS Fargate Reviews

NumPy Reviews

AWS Fargate mentions (46)

• A Brief History Of Serverless

  This model was so successful that we started to see others create competitors such as AWS Fargate and Azure Container Instances. - Source: dev.to / about 1 month ago

• Event-Driven Architecture on AWS

  Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / about 2 months ago

• Lambda on hard mode: serverless HTTP in Rust

  I never had a case where cold starts mattered because either 1) it was the kind of service where cold starts intrinsically didnt matter, or 2) we generally had > 1 req/15mins meaning we always had something warm. 3) Also you can pay for provisioned capacity[1] if the cold start thing makes it worth the money, though also just look into fargate[2] if that's the case. [1]:... - Source: Hacker News / 3 months ago

• Serverless Data Processor using AWS Lambda, Step Functions and Fargate on ECS (with Rust 🦀🦀)

  One great option in the serverless world for something like this is to run containers using AWS Fargate (https://aws.amazon.com/fargate/). Fargate is a service from AWS where you don't need to spin up or manage EC2 VMs to get access to compute. Also you don't need to pay for a container orchestration layer. You just provide a docker image and the specs of what you need to run it (cpu, ram, disk, etc) and AWS spins... - Source: dev.to / 5 months ago

• Best Practices for Seamless EKS Cluster Upgrades with Fargate: A Hands-On Guide

  As cloud-native architectures evolve, managing Kubernetes clusters becomes pivotal for maintaining optimal performance and security. Amazon EKS, combined with Fargate for serverless pod execution, offers a powerful solution. In this guide, we'll delve into best practices for EKS cluster upgrades with Fargate, providing a hands-on approach to ensure a seamless transition. Let's embark on the journey of mastering... - Source: dev.to / 6 months ago

NumPy mentions (111)

• Documenting my pin collection with Segment Anything: Part 3

  NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 1 day ago

• Awesome List

  NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago

• NumPy for Beginners: A Basic Guide to Get You Started

  This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 8 days ago

• 2 Minutes to JupyterLab Notebook on Docker Desktop

  Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago

• Element-wise vs Matrix vs Dot multiplication

  In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago