Open Source Windows Cloud Services Software - Page 4
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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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Space Cloud
Open source Firebase + Heroku to develop, scale and secure apps
Space Cloud is a Kubernetes-based serverless platform that provides instant, realtime APIs on any database, with event triggers and unified APIs for your custom business logic. Space Cloud helps you build modern applications without having to write any backend code in most cases. It provides GraphQL and REST APIs which can be consumed directly by your frontend in a secure manner. Flexible queries, transactions, aggregations and cross-database joins. Make live queries to your database. Upload/download files to scalable file stores (e.g., Amazon S3, Google Cloud Storage). Unified APIs for your custom HTTP services. Trigger webhooks or serverless functions on database or file storage events. Dynamic access control that integrates with your auth system (e.g., auth0, firebase-auth). Written in Golang, it follows cloud-native practices and scales horizontally. -
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Spring Cloud Config Server
External configuration (server and client) for Spring Cloud
Spring Cloud Config provides server-side and client-side support for externalized configuration in a distributed system. With the Config Server, you have a central place to manage external properties for applications across all environments. The concepts on both client and server map identically to the Spring Environment and PropertySource abstractions, so they fit very well with Spring applications but can be used with any application running in any language. As an application moves through the deployment pipeline from dev to test and into production, you can manage the configuration between those environments and be certain that applications have everything they need to run when they migrate. The default implementation of the server storage backend uses git, so it easily supports labelled versions of configuration environments as well as being accessible to a wide range of tooling for managing the content. It is easy to add alternative implementations. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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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. -
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Tekton Pipelines
A cloud-native Pipeline resource
Tekton is a powerful and flexible open-source framework for creating CI/CD systems, allowing developers to build, test, and deploy across cloud providers and on-premise systems. Get started with Tekton. Tekton standardizes CI/CD tooling and processes across vendors, languages, and deployment environments. It works well with Jenkins, Jenkins X, Skaffold, Knative, and many other popular CI/CD tools. Tekton lets you create CI/CD systems quickly, giving you scalable, serverless, cloud native execution out of the box. Tekton abstracts the underlying implementation so that you can choose the build, test, and deploy workflow based on your team’s requirements. Tekton is a collaborative project where members of the ecosystem contribute together to make CI/CD easier for everyone. See the individuals and organizations that are involved in the Tekton project. -
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The Go Cloud Development Kit
Library and tools for open cloud development in Go
The Go Cloud Development Kit (Go CDK) allows Go application developers to seamlessly deploy cloud applications on any combination of cloud providers. It does this by providing stable, idiomatic interfaces for common uses like storage and databases. Think database/sql for cloud products. The project works well with a code generator called Wire. It creates human-readable code that only imports the cloud SDKs for services you use. This allows the Go CDK to grow to support any number of cloud services, without increasing compile times or binary sizes, and avoiding any side effects from init() functions. The Go CDK builds at the latest stable release of Go. Previous Go versions may compile but are not supported. -
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Tyk API Gateway
Open Source API Gateway written in Go
Tyk is an open source Enterprise API Gateway, supporting REST, GraphQL, TCP and gRPC protocols. Tyk Gateway is provided ‘Batteries-included’, with no feature lockout. Enabling your organization to control who accesses your APIs, when they access, and how they access it. Tyk Technologies uses the same API Gateway for all it’s applications. Protecting, securing, and processing APIs for thousands of organizations and businesses around the world. Ideal for Open Banking, building software in the clouds as well as exposing APIs to teams, partners & consumers. Built from the ground up to be the fastest API gateway on the planet. It does not depend on a legacy proxy underneath. It has no 3rd party dependencies aside from Redis for distributed rate-limiting and token storage. Tyk Gateway can also be deployed as part of a larger Full Lifecycle API Management platform Tyk Self-Managed which also includes Management Control Plane, Dashboard GUI and Developer Portal. -
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
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Vector Element
A glossy Matrix collaboration client for the web
Protect the most sensitive parts of your organization; from senior executive discussion to intellectual property and cybersecurity. An entire communications platform under your control, with end-to-end encrypted voice, video, messaging and collaboration. Easily scales to serve the largest of organizations, supply chains and entire ecosystems. Support thousands of users in a single end-to-end encrypted chat room. Connect millions in real time across multiple organizations. Decentralization enables flexible federation that scales elastically horizontally and preserves each party’s data sovereignty. Element gives you the independence and flexibility to create a communications platform you can trust. Whether self-hosted or fully managed. Operate on a separate decentralised network for resilience and incident response. Functionality to suit your security profile and options to brand as your own. -
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Wild Workouts
Go DDD example application. Complete project to show how to apply DDD
Wild Workouts is an example Go DDD project that we created to show how to build Go applications that are easy to develop, maintain, and fun to work with, especially in the long term! The idea for this series, is to apply DDD by refactoring. This process is in progress! Please check articles, to know the current progress. No application is perfect from the beginning. With over a dozen coming articles, we will uncover what issues you can find in the current implementation. We will also show how to fix these issues and achieve clean implementation by refactoring. We're building a Discord community focused on modern business applications. It's the place to discuss hard topics, request a review, or ask if something's not clear. -
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bento-starter
Full-Stack solution to quickly build PWA applications with Vue.js
Provides a completely well-configured environment so you can immediately focus on writing your web app code. BentoStarter uses Vue.js because it is cool, fast, and probably the easiest javascript framework to learn today. Your app is deployed to firebase hosting as soon as you commit a new version. Provides a strong PWA configuration so your web app can be used as a mobile (IOS / Android) or desktop application with offline support. BentoStarter uses firestore which provides a cloud NoSQL Database so you can focus on writing your front-end code. Optional continuous integration/delivery configuration that helps you control your code quality before deployment. BentoStarter helps you getting started by proposing a default app structure based on best practices. As this project is a template and not a CLI, you can modify the whole project according to your needs. Prerender your different app pages and boost SEO with meta-data description per page. -
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fog
The Ruby cloud services library
Whether you need compute, dns, storage, or a multitude of other services, fog provides an accessible entry point and facilitates cross-service compatibility. Just getting started working with cloud resources? You are not alone, and having so many complicated options makes it hard to know where to start. fog delivers the knowledge of cloud experts to you, helping you to bootstrap your cloud usage and guiding you as your own expertise develops. By coding with fog from the start you avoid vendor lock-in and give yourself more flexibility to provide value. Whether you are writing a library, designing software as a service product or just hacking on the weekend this flexibility is a huge boon. With a rapidly expanding community and codebase the advantages of fog just keep coming. Join us and together we will realize the future of cloud computing. -
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libfabric
AWS Libfabric
The Open Fabrics Interfaces (OFI) is a framework focused on exporting fabric communication services to applications. Libfabric pre-built binaries may be available from other sources, such as Linux distributions. Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run applications requiring high levels of inter-node communications at scale on AWS. Its custom-built operating system (OS) bypass hardware interface enhances the performance of inter-instance communications, which is critical to scaling these applications. With EFA, High Performance Computing (HPC) applications using the Message Passing Interface (MPI) and Machine Learning (ML) applications using NVIDIA Collective Communications Library (NCCL) can scale to thousands of CPUs or GPUs. As a result, you get the application performance of on-premises HPC clusters with the on-demand elasticity and flexibility of the AWS cloud. -
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next-firebase-auth
Simple Firebase authentication for all Next.js rendering strategies
Simple Firebase authentication for all Next.js rendering strategies. This package makes it simple to get the authenticated Firebase user and ID token during both client-side and server-side rendering (SSR). We treat the Firebase JS SDK as the source of truth for auth status. When the user signs in, we call an endpoint to generate a refresh token and store the user info, ID token, and refresh token in cookies. Future requests to SSR pages receive the user info and ID token from cookies, refreshing the ID token as needed. When the user logs out, we unset the cookies. This package will likely be helpful if you're using Firebase authentication and expect to use server-side rendering—especially if you need access to Firebase ID tokens on the server side. If your app only uses static pages or doesn't need the Firebase user for SSR, use the Firebase JS SDK directly to load the user on the client side. -
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react-hn
React-powered Hacker News client
Supports display of all item types: stories, jobs, polls and comments. Basic user profiles. Collapsible comment threads, with child counts. "Realtime" updates (free via Firebase!). Last visit details for stories are cached in localStorage. New comments are highlighted. Comments since your last visit to an item. New comments which load while you're reading an item. New comments in collapsed threads. Automatic or manual collapsing of comment threads that don't contain any new comments. Manual highlighting of the X most recent comments to catch up on threads you were reading elsewhere. Stories with new comments are marked on list pages. Stories can be marked as read to remove highighting from new comments. "Comments" sections are driven by the Changed Items API. Story listing pages are cached in sessionStorage for quick back button usage and pagination in the same session. Configurable settings. Auto collapse - automatically collapses comment threads without new comments on page load. -
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react-native-fcm
react native module for firebase cloud messaging
React native module for firebase cloud messaging and local notification. react-native-firebase now can do what react-native-fcm can so it is a waste of effort to build the same thing in parallel. To allow android to respond to click_action, you need to define Activities and filter on specific intent. Since all javascript is running in MainActivity, you can have MainActivity to handle actions. If you are using RN < 0.30.0 and react-native-fcm < 1.0.16, pass intent into package, edit MainActivity.java. Import libraries, add Capabilities (background running and push notification), upload APNS and etc. Put frameworks under ios/Frameworks folder, and drag those files into your xcode solution. Make sure the file is not just moved into the folder. You need to Right Click the project folder in XCode and Add File to <Project Name>. Select Copy if needed in the Options page while selecting the file. -
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react-redux-firebase
Redux bindings for Firebase. Includes React Hooks and Higher Order
Redux bindings for Firebase. Includes Higher Order Component (HOC) for use with React. If you are starting a new project and/or are not required to have your Firebase data loaded into redux, you might want to give reactfire a try before trying react-redux-firebase. I wrote up a quick medium article explaining a bit about how, and why and showing how to start a new project with these tools. Out-of-the-box support for authentication (with auto-loading user profile from database/firestore). Full Firebase Platform Support Including Real-Time Database, Firestore, and Storage. Automatic binding/unbinding of listeners through React Hooks (useFirebaseConnect, useFirestoreConnect) or Higher Order Components (firebaseConnect and firestoreConnect). Population capability (similar to mongoose's populate or SQL's JOIN). Support small data ( using value ) or large datasets ( using child_added, child_removed, child_changed). -
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serverless-chrome
Run headless Chrome/Chromium on AWS Lambda
Serverless Chrome contains everything you need to get started running headless Chrome on AWS Lambda (possibly Azure and GCP Functions soon). The aim of this project is to provide the scaffolding for using Headless Chrome during a serverless function invocation. Serverless Chrome takes care of building and bundling the Chrome binaries and making sure Chrome is running when your serverless function executes. In addition, this project also provides a few example services for common patterns (e.g. taking a screenshot of a page, printing to PDF, some scraping, etc.). Why? Because it's neat. It also opens up interesting possibilities for using the Chrome DevTools Protocol (and tools like Chromeless or Puppeteer) in serverless architectures and doing testing/CI, web-scraping, pre-rendering, etc. You must configure your AWS credentials either by defining AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environmental variables, or using an AWS profile.
