Showing 229 open source projects for "aws"

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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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    Enterprise-grade ITSM, for every business

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    Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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  • 1
    AWS F1.A.1.4

    AWS F1.A.1.4

    Migrate between Alveo and F1 platforms

    F1 customers want to seamlessly migrate between Alveo and F1 platforms to enable scaling in AWS cloud. The F1 development flow currently supports the requirement with Vitis, but there is no such support available for full custom RTL development flow (Vivado design flow). AWS F1.A.1.4 shell is targeted at enabling this. AWS F1.A.1.4 shell enables customers to migrate designs seamlessly between on-premise U200 Alveo card and F1 platform in a full custom RTL development flow. ...
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  • 2
    Opta

    Opta

    The next generation of Infrastructure-as-Code

    Opta is an infrastructure-as-code framework. Rather than working with a low-level cloud configuration, Opta enables you to work with high-level constructs. Opta high-level constructs produce Terraform configuration files. This helps you avoid lock-in to Opta. You can write custom Terraform code or even take the Opta-generated Terraform and go your own way. Opta is a new kind of Infrastructure-as-Code (IaC) framework that lets engineers work with high-level constructs instead of getting lost...
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  • 3
    AWS EC2 Instance Connect Configuration

    AWS EC2 Instance Connect Configuration

    ssh daemon configuration and necessary EC2 instance scripting

    This package contains the EC2 instance configuration and scripts necessary to enable AWS EC2 Instance Connect. This is the ssh daemon configuration and necessary EC2 instance scripting to enable EC2 Instance Connect. Also included is various package manager configurations for packaging for various Linux distributions. Parse takes all necessary pieces as command inputs is can be unit tested independently. curl, however, obviously needs to curl EC2 Instance Metadata Service and so cannot be tested without mocking the actual service. ...
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  • 4
    SageMaker MXNet Inference Toolkit

    SageMaker MXNet Inference Toolkit

    Toolkit for allowing inference and serving with MXNet in SageMaker

    ...The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well.
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  • 5
    Poem Framework

    Poem Framework

    A full-featured and easy-to-use web framework

    ...A cloud-native data warehouse written in rust. A NetEase Leihuo's internal art resource sharing platform, backend in rust. A front-end automated deployment platform based on continuous integration of aws. Hik-ProConnect project for Hikvision. A smart SSH bastion host that works with any SSH clients. A fast, auto-optimizing image server designed for high throughput and caching. Building the safest and most scalable Layer 1 blockchain. Casbin access control middleware for poem framework.
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  • 6
    Apache MXNet (incubating)

    Apache MXNet (incubating)

    A flexible and efficient library for deep learning

    Apache MXNet is an open source deep learning framework designed for efficient and flexible research prototyping and production. It contains a dynamic dependency scheduler that automatically parallelizes both symbolic and imperative operations. On top of this is a graph optimization layer, overall making MXNet highly efficient yet still portable, lightweight and scalable.
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  • 7
    Serverless Next.js Component

    Serverless Next.js Component

    Deploy your Next.js apps on AWS Lambda@Edge via Serverless Components

    A zero-configuration Next.js 10/11 serverless component for AWS Lambda@Edge aiming for full feature parity. Since Next.js 8.0, serverless mode was introduced which provides a new low-level API that projects like this can use to deploy onto different cloud providers. However, Next.js doesn't provide the full serverless routing logic, hence why this project is needed to fill the gap. The long-term vision is to allow you to self-host with various clouds, starting with AWS. ...
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  • 8
    AWS Step Functions Data Science SDK

    AWS Step Functions Data Science SDK

    For building machine learning (ML) workflows and pipelines on AWS

    The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately.
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  • 9
    Serverless Components

    Serverless Components

    The Serverless Framework's new infrastructure provisioning technology

    ...Track usage, performance, and errors on your serverless apps with instant, powerful metrics. Quickly query across all AWS Lambda invocations and API Gateway requests to drill into specific issues. See all of your serverless applications and their resources in one place, regardless of AWS account or region.
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  • $300 Free Credits for Your Google Cloud Projects Icon
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  • 10
    Mongoose OS

    Mongoose OS

    IoT firmware development framework

    ...Device management dashboard service. Supported microcontrollers are CC3220, CC3200, ESP32, ESP8266, STM32F4, STM32L4, STM32F7. Recommended dev kits are ESP32-DevKitC for AWS IoT, ESP32 Kit for Google IoT Core.
    Downloads: 0 This Week
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  • 11
    kiam

    kiam

    Integrate AWS IAM with Kubernetes

    kiam runs as an agent on each node in your Kubernetes cluster and allows cluster users to associate IAM roles with Pods. [a] role is similar to a user, in that it is an AWS identity with permission policies that determine what the identity can and cannot do in AWS. However, instead of being uniquely associated with one person, a role is intended to be assumed by anyone who needs it. Also, a role does not have any credentials (password or access keys) associated with it. Instead, if a user is assigned to a role, access keys are created dynamically and provided to the user.
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  • 12
    Amazon Neptune Gremlin .NET SigV4

    Amazon Neptune Gremlin .NET SigV4

    A custom library for Amazon Neptune that enables AWS Signature Version

    This project provides a custom library that extends the Apache TinkerPop Gremlin.NET client to enable AWS IAM Signature Version 4 signing for establishing authenticated connections to Amazon Neptune. For example usage refer to: NeptuneGremlinNETSigV4Example.cs. This example shows how to leverage this library for establishing an authenticated connection to Neptune. The GremlinClient library accepts both a GremlinServer object as well as a webSocketConfiguration object that contains a custom configuration set for establishing the WebSocket connection to Amazon Neptune. ...
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  • 13
    Kotless

    Kotless

    Kotlin Serverless Framework

    ...Its focus lies in reducing the routine of serverless deployment creation by generating it straight from the code of the application itself. So, simply speaking, Kotless gives you one magic button to deploy your Web application as a serverless application on AWS and Azure. Kotless is able to deploy existing Spring Boot or Ktor applications to AWS serverless platform. To do it, you'll need to set up a plugin and replace the existing dependency with the appropriate Kotless DSL. One of the key features of Kotless is its ability to embed into existing applications. Kotless makes super easy deployment of existing Spring and Ktor applications to AWS and Microsoft Azure serverless platforms.
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  • 14
    Offline First Database Comparison

    Offline First Database Comparison

    An implementation of the exact same app in Firestore, AWS Datastore

    In this project I have implemented the exact same chat application with different database technologies. You can use it to compare metrics and learn about the differences. The chat app is a web-based angular application, with functionality similar to Whatsapp Web. All metrics are measured automatically via code in a browser test (chrome:headless). The results heavily depend on the developer's device. You should compare the values relative to one another and not as absolute values. Also, you...
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  • 15
    Apex Up

    Apex Up

    Deploy infinitely scalable serverless apps, APIs and sites

    ...Up focuses on deploying “vanilla” HTTP servers so there’s nothing new to learn, just develop with your favorite existing frameworks such as Express, Koa, Django, Golang net/HTTP or others. Up currently supports Node.js, Golang, Python, Java, Crystal, and static sites out of the box. Up is platform-agnostic, supporting AWS Lambda and API Gateway as the first targets, you can think of Up as a self-hosted Heroku-style user experience for a fraction of the price, with security, flexibility, and scalability of AWS, just $ up and you’re done! Up Pro provides additional features for production-ready applications such as encrypted environment variables, error alerting, unlimited team members, unlimited applications, priority email support, and global deployments for $19.99/mo USD.
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  • 16
    StreamAlert

    StreamAlert

    StreamAlert is a serverless, realtime data analysis framework

    ...Ingested logs and generated alerts can be retroactively searched for compliance and research. Serverless design is cheaper, easier to maintain, and scales to terabytes per day. Deployment is automated, simple, safe and repeatable for any AWS account. Secure by design, least-privilege execution, containerized analysis, and encrypted data storage.
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  • 17
    BaGet

    BaGet

    A lightweight NuGet and symbol server

    ...Cross-platform, dockerized, cloud-ready, supports read-through caching. Can index the entirety of nuget.org. Coming soon, support for private feeds. You can run BaGet on your preferred platform, on your computer, Docker, Azure, AWS, Google Cloud, and Alibaba Cloud (Aliyun). With a few extra steps, you can run BaGet behind a Windows IIS proxy. This has many benefits, including automatic restarts on reboots. You may need to give special permissions to the top-level BaGet folder so that the app can persist in its state. This is necessary as the Application Pools' identity is a virtual account that isn't recognized by the Windows User Management Console.
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  • 18
    PowerfulSeal

    PowerfulSeal

    A powerful testing tool for Kubernetes clusters.

    PowerfulSeal injects failure into your Kubernetes clusters so that you can detect problems as early as possible. It allows for writing scenarios describing complete chaos experiments.
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  • 19
    GoSpider

    GoSpider

    Gospider - Fast web spider written in Go

    GoSpider - Fast web spider written in Go. Fast web crawling. Brute force and parse sitemap.xml. Parse robots.txt. Generate and verify link from JavaScript files. Link Finder. Find AWS-S3 from response source. Find subdomains from the response source. Get URLs from Wayback Machine, Common Crawl, Virus Total, Alien Vault. Format output easy to Grep. Support Burp input. Crawl multiple sites in parallel.
    Downloads: 3 This Week
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  • 20
    SageMaker TensorFlow Serving Container

    SageMaker TensorFlow Serving Container

    A TensorFlow Serving solution for use in SageMaker

    SageMaker TensorFlow Serving Container is an a open source project that builds docker images for running TensorFlow Serving on Amazon SageMaker. Some of the build and tests scripts interact with resources in your AWS account. Be sure to set your default AWS credentials and region using aws configure before using these scripts. Amazon SageMaker uses Docker containers to run all training jobs and inference endpoints. The Docker images are built from the Dockerfiles in docker/. The Dockerfiles are grouped based on the version of TensorFlow Serving they support. ...
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  • 21
    Terraform Inventory

    Terraform Inventory

    Terraform State, Ansible dynamic inventory

    This is a little Go app that generates a dynamic Ansible inventory from a Terraform state file. It allows one to spawn a bunch of instances with Terraform, then (re-)provision them with Ansible. This library is stable, but I've been neglecting it somewhat on account of no longer using Ansible at work. On OSX, install it with Homebrew. Alternatively, you can download a release suitable for your platform and unzip it. Make sure the terraform-inventory binary is executable, and you're ready to...
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  • 22
    aws-mwaa-local-runner

    aws-mwaa-local-runner

    CLI that replicates an Amazon Managed Workflows for Apache Airflow

    ...To stop the local environment, Ctrl+C on the terminal and wait till the local runner and the postgres containers are stopped. You can setup the local Airflow's boto with the intended execution role to test your DAGs with AWS operators before uploading to your Amazon S3 bucket.
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  • 23
    AWS Greengrass Core SDK for Java
    ...Stream manager supports automatic data export to AWS S3 and AWS IoT SiteWise, provides new API method to update existing streams, and pause or resume exporting. StreamManager client sets socket option TCP_NODELAY=true to prevent multi-millisecond delays when writing small messages.
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  • 24
    AWS X-Ray .NET Agent

    AWS X-Ray .NET Agent

    The official AWS X-Ray Auto Instrumentation Agent for .Net.

    The AWS X-Ray .NET Agent is a drop-in solution that enables the propagation of X-Ray traces within your web applications. This includes automatic tracing for AWS X-Ray SDK supported frameworks and libraries. The agent enables you to use the X-Ray SDK out of box, and requires no code changes to enable the basic propagation of traces. See the compatibility chart below for the current feature parity between the AWS X-Ray .NET SDK and the AWS X-Ray .NET Agent. ...
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  • 25
    aws_glue_databrew_jupyter

    aws_glue_databrew_jupyter

    Manage your AWS Glue Databrew resources in-context

    This is an extension for Jupyter Lab that allows you to manage your AWS Glue Databrew resources in-context of your existing Jupyter workflows.
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