Open Source Cloud Services Software - Page 4
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AWS SDK ZF2 Module
ZF2 module for using the AWS SDK for PHP to interact with AWS services
Get started quickly using AWS with the AWS SDK for PHP. The SDK is a modern, open-source PHP library that makes it easy to integrate your PHP application with AWS services like Amazon S3, Amazon Glacier, and Amazon DynamoDB. Version 3 of the AWS SDK for PHP is now generally available and includes a number of improvements and new features while maintaining nearly identical API patterns for easy migration from version 2. Conveniently marshal and unmarshal JSON documents and PHP arrays for storage in Amazon DynamoDB. Remove the session state scale bottleneck by easily storing the application session state in DynamoDB. Use PHP's built-in functions such as fopen, copy, and file_get_contents to work with objects stored in Amazon S3. Automates polling for resource state changes such as waiting for a newly launched Amazon EC2 instance to reach the 'running' state. -
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AWS SigV4 Library
AWS library to sign AWS HTTP requests with Signature Version 4
The AWS SigV4 Library is a standalone library for generating authorization headers and signatures according to the specifications of the Signature Version 4 signing process. Authorization headers are required for authentication when sending HTTP requests to AWS. This library can optionally be used by applications sending direct HTTP requests to AWS services requiring SigV4 authentication. This library has no dependencies on any additional libraries other than the standard C library. This library is distributed under the MIT Open Source License. This library has gone through code quality checks including verification that no function has a GNU Complexity score over 8, and checks against deviations from mandatory rules in the MISRA coding standard. Deviations from the MISRA C:2012 guidelines are documented under MISRA Deviations. This library has also undergone static code analysis using Coverity static analysis, and validation of memory safety through the CBMC automated reasoning tool. -
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AWS Toolkit for Azure DevOps
AWS Toolkit for Azure DevOps
The AWS Toolkit for Azure DevOps adds tasks to easily enable build and release pipelines in Azure DevOps (formerly VSTS) and Azure DevOps Server (previously known as Team Foundation Server (TFS)) to work with AWS services including Amazon S3, AWS Elastic Beanstalk, AWS CodeDeploy, AWS Lambda, AWS CloudFormation, Amazon Simple Queue Service and Amazon Simple Notification Service, and run commands using the AWS Tools for Windows PowerShell module and the AWS CLI. This is an open source project because we want you to be involved. We love issues, feature requests, code reviews, pull requests or any positive contribution. To enable tasks to call AWS services when run as part of your build or release pipelines AWS credentials need to have been configured for the tasks or be available in the host process for the build agent. Note that the credentials are used specifically by the tasks when run in a build agent process, they are not related to end-user logins to your Azure DevOps instance. -
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AWS X-Ray Daemon
The AWS X-Ray daemon listens for traffic on UDP port 2000
The AWS X-Ray daemon listens for traffic on UDP port 2000, gathers raw segment data, and relays it to the AWS X-Ray API. The daemon works in conjunction with the AWS X-Ray SDKs and must be running so that data sent by the SDKs can reach the X-Ray service. The X-Ray SDK sends segment documents to the daemon to avoid making calls to AWS directly. You can send the segment/subsegment in JSON over UDP port 2000 to the X-Ray daemon, prepended by the daemon header. On AWS Lambda and AWS Elastic Beanstalk, use those services' integration with X-Ray to run the daemon. Lambda runs the daemon automatically any time a function is invoked for a sampled request. On Elastic Beanstalk, use the XRayEnabled configuration option to run the daemon on the instances in your environment. To run the X-Ray daemon locally, on-premises, or on other AWS services, download it, run it, and then give it permission to upload segment documents to X-Ray. -
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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. The SigV4RequestSigner library fetchs IAM credentials using the FallbackCredentialsFactory API (which works similarly to the Java Default Credential Provider Chain), performs the proper Signature Version 4 signing of an http request, and creates the proper WebSocket configuration based on this signed http request. One can then pass this webSocketConfiguration to the GremlinClient to create the connection to Neptune. -
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Easegress
A Cloud Native traffic orchestration system
The Easegres (formally known as Ease Gateway) helps to enlarge the availability and stability, also can improve the performance without changing a line of code. It also can smoothly support rapid business growth without re-arch the whole system. Easegress can be a typical seven-level API Gateway, it also can be a side-car to be a Service Mesh, and Easegress can perfectly work with other software to ship powerful features, such as: Kubernetes Ingress, Knaitve FaaS, and Eureka/Consul/Etcd/Nacos and so on. The Easegress can management the traffic and APIs, not only can do load balancing, canary development but also can aggregate and pipeline a number of APIs. This function automatically helps the website optimize its performance, such as: adding the cache, merging the requests, and reducing the network bandwidth. Sometimes, a site could have unexpectedly higher traffic, the Ease Gateway could help to protect the critical service for critical customers. -
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Eclipse Che
Next-gen container development platform, workspace server & cloud IDE
Eclipse Che is a Kubernetes-native IDE that makes Kubernetes development accessible for development teams. It places everything a developer could need into containers in Kube pods including dependencies, embedded containerized runtimes, a web IDE, and project code. With the Kubernetes application in your development environment and an in-browser IDE, you can code, build, test and run applications exactly as they run on production from any machine. -
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Firebase Admin Go SDK
Firebase Admin Go SDK
Firebase provides the tools and infrastructure you need to develop apps, grow your user base, and earn money. The Firebase Admin Go SDK enables access to Firebase services from privileged environments (such as servers or cloud) in Go. Currently this SDK provides Firebase custom authentication support. Read and write Realtime Database data with full admin privileges. Programmatically send Firebase Cloud Messaging messages using a simple, alternative approach to the Firebase Cloud Messaging server protocols. Access Google Cloud resources like Cloud Storage buckets and Cloud Firestore databases associated with your Firebase projects. Create your own simplified admin console to do things like look up user data or change a user's email address for authentication. Generate and verify Firebase auth tokens. -
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Firebase Apple Open Source Development
Firebase SDK for Apple App Development
This repository contains all Apple platform Firebase SDK source except FirebaseAnalytics. Firebase is an app development platform with tools to help you build, grow and monetize your app. More information about Firebase can be found on the official Firebase website. See the subsections below for details about the different installation methods. Where available, it's recommended to install any libraries with a Swift suffix to get the best experience when writing your app in Swift. Instructions for Swift Package Manager support can be found at SwiftPackageManager Markdown file. All of the official releases are tagged in this repo and available via CocoaPods. To access a local source snapshot or unreleased branch, use Podfile directives. CocoaPods is still the canonical way to develop, but much of the repo now supports development with Swift Package Manager. -
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Fun Retro
Easy to use and beautiful restrospective board
Easy to use and beautiful retrospective board. Fun Retro is using Firebase. First create an account at firebase. Then create a test project. Enable sign-up using Email/Password for your project. This can be done through the 'Authentication' tab for the project. The app uses firebase auth and creates a new user when you attempt to create a new board. So, once the app is running, head over to your firebase console Authentication section and enable auth using email & password. -
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Graph NotebookAmazon GameLift Unity
Access GameLift resources and integrate GameLift into your Unity game
The Amazon GameLift Plugin for Unity contains libraries and native UI that makes it easier to access GameLift resources and integrate GameLift into your Unity game. You can use the GameLift Unity Plugin to access GameLift APIs and deploy AWS CloudFormation templates for common gaming scenarios. Auth Only, this scenario creates a game backend service that performs only player authentication and no game server capability. It creates a Cognito user pool to store player authentication information, as well as an API gateway REST endpoint backed up AWS Lambda handlers to start a game and view game connection information. The Lambda handler always returns a 501 Error (Unimplemented). Single-Region Fleet, this scenario creates a game backend service with a single GameLift fleet. After player authenticates and starts a game (with a POST request to /start_game), a AWS Lambda handler searches for an existing viable game session with an open player slot on the fleet. -
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M3O
Next generation cloud
M3O is a next generation cloud plaform. Explore, discover and consume public APIs as simpler programmable building blocks. One platform, one account, one framework. Discover, explore and consume public APIs all in one place. Manage your API usage with one account and one token. Learn, develop and integrate using one set of docs and libraries. Predictable pricing with no hidden costs. It’s free to start and everything is priced per request. So far there are over 50+ APIs. Geocode an address to gps location and the reverse. Real-time GPS location tracking and search. Quickly upload, resize, and convert images. Etas, routes, and turn by turn directions. All APIs are available through one endpoint. Call any API using your token in the Authorization: Bearer [Token] header. Grab your API token from the dashboard and try out HelloWorld and export it. -
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Material Kit - React
React Dashboard made with Material UI’s components
Free React Admin Dashboard made with MUI's components, React and of course Next.js to boost your app development process! React Dashboard made with Material UI’s components. Our pro template contains features like the TypeScript version, an authentication system with Firebase and Auth0 plus many others. Create secure, seamless user experiences with Zalter Passwordless Authentication. We also have a pro version of this product which bundles even more pages and components if you want to save more time and design efforts. -
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Neat
A lightweight and flexible Sass grid
Neat is a fluid grid framework with the aim of being easy enough to use out of the box and flexible enough to customize down the road. Neat also works great with Bourbon and Bitters, They are all lightweight and easy to work with so it’s a blast to try them out and see if they’re right for your next project. If you need multiple grids in a single project, you can do this by defining a new map stored within a variable of your choosing. This variable can then be passed directly into any of Neat's mixins. Custom grids are especially useful with grid-media. By defining a media attribute within your custom grid, you are able to easily define gutter width and total column count as well as the breakpoint at which they should activate. Creates collapsed grid object that consumes the gutters of its container, for use in nested layouts. -
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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 might want to create new metrics that better represent how you would use the respective database. WatermelonDB and the RxDB-LokiJS project use the LokiJS database as storage, which is an in memory database that regularly persists the data to IndexedDB either on interval, or when the browser tab is closed. By doing so, less slow IndexedDB transaction are used. Keeping and processing the data in memory has the benefit of being much faster. -
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Porter
Kubernetes powered PaaS that runs in your own cloud
Porter is a fully-managed PaaS that lets teams automate DevOps. Deploy and manage apps within AWS, GCP, DO, and more. Porter manages and scales services in your existing cloud so you can focus on building products. Deploy in seconds from a Git repo or Docker registry. Porter simplifies service management while still offering the flexibility of a fully-featured DevOps platform when you need it. Use your existing AWS, GCP, or DO cloud as a hosting backend. They host your apps, Porter manages them. Automate your cloud management and focus on what matters. A traditional PaaS like Heroku is great for minimizing unnecessary DevOps work but doesn't offer enough flexibility as your applications grow. Custom network rules, resource constraints, and cost are common reasons developers move their applications off Heroku beyond a certain scale. Porter brings the simplicity of a traditional PaaS to your own cloud provider while preserving the configurability of Kubernetes. -
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PyFCM
Python client for FCM - Firebase Cloud Messaging
Python client for FCM - Firebase Cloud Messaging (Android, iOS and Web) Firebase Cloud Messaging (FCM) is the new version of GCM. It inherits the reliable and scalable GCM infrastructure, plus new features. GCM users are strongly recommended to upgrade to FCM. Using FCM, you can notify a client app that new email or other data is available to sync. You can send notifications to drive user reengagement and retention. For use cases such as instant messaging, a message can transfer a payload of up to 4KB to a client app. -
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Quick Chat for iOS
Real time chat app written in Swift 5 using Firebase
Real-time chat app written in Swift 5 using Firebase. Quick Chat allows to send and receive text messages, photos & location. Quick Chat for iOS is compatible with iOS 13.0+. This project is written in Swift 5.0 and requires Xcode 11.0 to build and run. Download the "GoogleService-Info.plist" file and add to the project. Make sure file name is "GoogleService-Info.plist". Go to Firebase Console, select your project, choose "Authentication" from left menu, select "SIGN-IN METHOD" and enable "Email/Password" option. Open the terminal, navigate to project folder, and run "pod install". You're all set! Run Quick Chat on your iPhone or the iOS Simulator. -
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RMUIF
Supercharged version of Create React App with all the bells
Supercharged version of Create React App with all the bells and whistles. Bootstrapped with Create React App. Google’s Material Design through Material-UI. Firebase back-end with most of their products for the web included, e.g., Authentication and Cloud Firestore. Routing with React Router, including protected routes and error handling. Extensive and well-tested mobile support with full-screen dialogs and swipeable tabs. Cross-platform application monitoring with Sentry. -
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React Most Wanted
React starter kit with "Most Wanted" application features
React Most Wanted is a set of starter kits, tools, features, and best practices that you can choose from and use around your React projects. Choose from 3 different starter kits. From a basic one to a full-featured application. You start easy like with every other template but you can also update the template parts over time. And with the updates you don't only update the components but also get new features and bug fixes. Every template is a collection of very carefully picked packages and projects. Only the creme de la creme of the react ecosystem. MPA (Multi Page Application) ready. A Large codebase can be split into separate bundles that load different parts of the application, lazy-loading the different bundles on demand. Use Firebase's platform as a backend and database, with a sync between Firebase and the app state. -
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Right Consents Community
Open and extensible platform to manage consents and preferences
Right Consents is a Consent and Preference Management Platform which leverage consent to another scope than cookies, where consent based processing implies conformity, like receipt preservation and consent dissemination to third-part software or company. More information at https://right-consents.fairandsmart.io/ -
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Rocketeer
Send your projects up in the clouds
Rocketeer is a modern PHP task runner and deployment package. It is inspired by the Laravel Framework philosophy and thus aims to be fast, elegant, and more importantly easy to use. Like the latter, emphasis is put on smart defaults and modern development. While it is coded in PHP, it can deploy any project from small HTML/CSS websites to large Rails applications. Versatile, support for multiple connections, multiserver connections, multiple stages per server, etc. Fast, queue tasks and run them in parallel across all your servers and stages. Modulable, not only can you add custom tasks and components, every core part of Rocketeer can be hot swapped, extended, hacked to bits, etc. Preconfigured, tired of defining the same routines again and again ? Rocketeer is made for modern development and comes with smart defaults and built-in tasks such as installing your application's dependencies. -
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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. This project is a better version of the serverless plugin which focuses on addressing core issues like next 9 support, better development experience, the 200 CloudFormation resource limit and performance. Users of this component should be able to use Next.js development tooling, aka next dev. It is the component's job to deploy your application ensuring parity with all of next's features we know and love. We try to emulate all or most of the routing and server-side logic from Next.js. -
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StreamAlert
StreamAlert is a serverless, realtime data analysis framework
StreamAlert is a serverless, real-time data analysis framework that empowers you to ingest, analyze, and alert on data from any environment, using data sources and alerting logic you define. Computer security teams use StreamAlert to scan terabytes of log data every day for incident detection and response. Incoming log data will be classified and processed by the rules engine. Alerts are then sent to one or more outputs. Rules are written in Python; they can utilize any Python libraries or functions. Merge similar alerts and automatically promote new rules if they are not too noisy. 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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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit, and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of data sources. SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. For production-grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.
