Open Source Cloud Services Software - Page 3
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EKS Charts
Amazon EKS Helm chart repository
Networking plugin for pod networking in Kubernetes using Elastic Network Interfaces on AWS. appmesh-controller: App Mesh controller Helm chart for Kubernetes. appmesh-prometheus: App Mesh Prometheus Helm chart for Kubernetes. appmesh-grafana: App Mesh Grafana Helm chart for Kubernetes. appmesh-jaeger: App Mesh Jaeger Helm chart for Kubernetes. appmesh-spire-server: App Mesh SPIRE Server Helm chart for Kubernetes. appmesh-spire-agent: App Mesh SPIRE Agent Helm chart for Kubernetes. appmesh-gateway: App Mesh Gateway Helm chart for Kubernetes. -
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Firebase Admin Python SDK
Firebase Admin Python SDK
Firebase provides the tools and infrastructure you need to develop apps, grow your user base, and earn money. The Firebase Admin Python SDK enables access to Firebase services from privileged environments (such as servers or cloud) in Python. Currently this SDK provides Firebase custom authentication support. Create your own simplified admin console to do things like look up user data or change a user's email address for authentication. Access Google Cloud resources like Cloud Storage buckets and Cloud Firestore databases associated with your Firebase projects. Programmatically send Firebase Cloud Messaging messages using a simple, alternative approach to the Firebase Cloud Messaging server protocols. We currently support Python 3.7+. Firebase Admin Python SDK is also tested on PyPy and Google App Engine environments. -
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FirebaseUI for iOS
iOS UI bindings for Firebase
FirebaseUI is an open-source library for iOS that allows you to quickly connect common UI elements to the Firebase database for data storage, allowing views to be updated in realtime as they change, and providing simple interfaces for common tasks like displaying lists or collections of items. Additionally, FirebaseUI simplifies Firebase authentication by providing easy-to-use auth methods that integrate with common identity providers like Facebook, Twitter, and Google as well as allowing developers to use a built-in headful UI for ease of development. Don't forget to configure your Firebase App Database using Firebase console. -
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I/O Photo Booth
Google I/O 2021 Photo Booth built with Flutter and Firebase
Google I/O 2021 Photo Booth built with Flutter and Firebase. A Photo Booth built with Flutter and Firebase for Google I/O 2021. We (the folks at Very Good Ventures) teamed up with Google to bring an interactive experience to this year’s Google I/O: a photo booth! You can take pictures with well-known Google mascots: Flutter’s Dash, Android Jetpack, Chrome’s Dino, and Firebase’s Sparky, and decorate photos with stickers, including party hats, pizza, funky glasses, and more. Finally, you can share photos on social media and download them to update your profile picture for the event! We built the I/O Photo Booth using Flutter on the web and Firebase. Because Flutter now offers support for web apps, we thought it would be a great way to make this app easily accessible to attendees all over the world for this year’s virtual Google I/O. Flutter’s web support eliminates the barrier of having to install an app from an app store and also gives you the flexibility to run it on your device. -
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MIDWAY
Serverless Framework for front-end/full-stack developers
A Node.js serverless framework for front-end/full-stack developers. Build the application for next decade. Works on AWS, Alibaba Cloud, Tencent Cloud, and traditional VM/Container. Super easy integrate with React and Vue. There are many similar frameworks in the community, so why do you need Midway? Midway is a framework that Alibaba has been developing continuously. Before egg was used as the underlying framework, an application-oriented framework was required to connect with the group's scenarios. The full use of TypeScript is the trend for a period of time in the future, and iterating and developing for the future is a requirement for the innovation of the architecture team. Although the community already has a framework like Nest, the maintenance, collaboration, and modification of these products will be restricted by commercial products, and it is impossible to achieve rapid iteration and security assurance of requirements. The overall R&D concept is also different from ours. -
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ReactFire
Hooks, Context Providers, and Components
Hooks, Context Providers, and Components that make it easy to interact with Firebase. Easy realtime updates for your function components - Hooks like useUserand useFirestoreCollection let you easily subscribe to auth state, realtime data, and all other Firebase SDK events. Plus, they automatically unsubscribe when your component unmounts. Access Firebase libraries from any component - Need the Firestore SDK? useFirestore. Remote Config? useRemoteConfig. Safely configure Firebase libraries - Libraries like Firestore and Remote Config require settings like enablePersistence to be set before any data fetches are made. This can be tough to support in React's world of re-renders. ReactFire gives you useInitFirestore and useInitRemoteConfig hooks that guarantee they're set before anything else. -
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S3cmd
Command line tool for managing Amazon S3 and CloudFront services
S3cmd (s3cmd) is a free command line tool and client for uploading, retrieving and managing data in Amazon S3 and other cloud storage service providers that use the S3 protocol, such as Google Cloud Storage or DreamHost DreamObjects. It is best suited for power users who are familiar with command-line programs. It is also ideal for batch scripts and automated backup to S3, triggered from cron, etc. S3cmd is written in Python. It's an open-source project available under GNU Public License v2 (GPLv2) and is free for both commercial and private use. You will only have to pay Amazon for using their storage. Lots of features and options have been added to S3cmd, since its very first release in 2008.... we recently counted more than 60 command-line options, including multipart uploads, encryption, incremental backup, s3 sync, ACL and Metadata management, S3 bucket size, bucket policies, and more! -
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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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AWS Amplify
A declarative JavaScript library for application development
The Amplify open-source client libraries provide use-case-centric, opinionated, declarative, and easy-to-use interfaces across different categories of cloud-powered operations enabling mobile and web developers to easily interact with their backends. These libraries are powered by the AWS cloud and offer a pluggable model which can be extended to use other providers. The libraries can be used with both new backends created using the Amplify CLI and existing backend resources. The Amplify JavaScript libraries are supported for different web and mobile frameworks including React, React Native, Angular, Ionic, and Vue. It is recommended that you first complete the Getting Started guide for Amplify JavaScript. The Amplify Framework uses Amazon Cognito as the main authentication provider. Amazon Cognito is a robust user directory service that handles user registration, authentication, account recovery & other operations. -
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Azure SDK for Go
This repository is for active development of the Azure SDK for Go
This repository is for the active development of the Azure SDK for Go. For consumers of the SDK, we recommend visiting our public developer docs. To get started with a library, see the README.md file located in the library's project folder. You can find these library folders grouped by service in the /SDK directory. We have a new wave of packages that are being announced as stable and several that are currently released in beta. These libraries allow you to use, consume, and interact with existing resources, for example, uploading a blob. These libraries share a number of core functionalities including retries, logging, transport protocols, authentication protocols, etc. that can be found in the azcore library. You can learn more about these libraries by reading about the Azure SDK Go guidelines. -
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Flutter Catalog
An app showcasing Flutter components, with side-by-side source code
An opensource app showcasing Flutter components, with side-by-side source code view. lutter Catalog is now available in the browser! -
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Microsoft Azure PowerShell
Microsoft Azure PowerShell for developers
This repository contains PowerShell cmdlets for developers and administrators to develop, deploy, and manage Microsoft Azure applications. This module runs on Windows PowerShell with .NET Framework 4.7.2 or greater, or the latest version of PowerShell 7. The Az module replaces AzureRM. You should not install Az side-by-side with AzureRM. Update-Module installs the new version side-by-side with previous versions. It does not uninstall the previous versions. To connect to Azure, use the Connect-AzAccount cmdlet. A session context persists login information across Azure PowerShell modules and PowerShell instances. To view the context you are using in the current session, which contains the subscription and tenant, use the Get-AzContext cmdlet. To get the subscriptions in a tenant, use the Get-AzSubscription cmdlet. To change the subscription that you are using for your current context, use the Set-AzContext cmdlet. -
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ObjectBox
Flutter database for super-fast Dart object persistence
ObjectBox Flutter database is a great option for storing Dart objects in your cross-platform apps. Minimal CPU, memory and battery use make it an ideal choice for mobile and IoT devices. Made for efficient data access, the ObjectBox Flutter database is 10x faster than any alternative. See the performance benchmarks below. No need to learn SQL, as our NoSQL database uses a pure Dart API that is easy to work with and can be integrated in minutes. Plus: We built a data synchronization solution that allows you to choose which objects to sync when and keep data easily and efficiently in sync across devices. Improving response rates and enabling real-time applications. Atomic, Consistent, Isolated, Durable. Grows with your app, handling millions of objects with ease. Object links/relationships are built-in. Filter data as needed, even across relations. Compile time checks & optimizations. -
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Origin
Community Distribution of Kubernetes
Origin, also known as OKD is the community distribution of Kubernetes that has been optimized for continuous application development and multi-tenant deployment. It adds developer and operations-centred tools to Kubernetes to speed up application development and simplify deployment, scaling, as well as long-term lifecycle maintenance. It also makes it easier to launch Kubernetes on any cloud or bare metal and run and update clusters, while providing all the necessary tools for creating successful containerized applications. -
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Prowler
An open source security tool to perform AWS security assessment
Prowler is an Open Source security tool to perform AWS security best practices assessments, audits, incident response, continuous monitoring, hardening, and forensics readiness. It contains more than 200 controls covering CIS, PCI-DSS, ISO27001, GDPR, HIPAA, FFIEC, SOC2, AWS FTR, ENS and custom security frameworks. Prowler is a command-line tool that helps you with AWS security assessment, auditing, hardening, and incident response. It follows guidelines of the CIS Amazon Web Services Foundations Benchmark (49 checks) and has more than 100 additional checks related to GDPR, HIPAA, PCI-DSS, ISO-27001, FFIEC, SOC2, and others. +200 checks covering security best practices across all AWS regions and most AWS services. Get a direct colorful or monochrome report. Get an HTML, CSV, JUNIT, JSON, or JSON ASFF (Security Hub) format report. -
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Render Farm Deployment Kit on AWS (RFDK)
Library for use with the AWS Cloud Development Kit
The Render Farm Deployment Kit on AWS (RFDK) is an open-source software development kit (SDK) that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. It offers high-level object-oriented abstractions to define render farm infrastructure using the power of Python and Typescript. The Render Farm Deployment Kit (RFDK) on AWS is an open-source software development kit that can be used to deploy, configure, and manage your render farm infrastructure in the cloud. The RFDK is built to operate with the AWS Cloud Development Kit (CDK) and provides a library of classes, called constructs, that each deploy and configure a component of your cloud-based render farm. The current version of the RFDK supports render farms built using AWS Thinkbox Deadline render management software, and provides the ability for you to easily go from nothing to a production-ready render farm in the cloud. -
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SQLPad
Web-based SQL editor run in your own private cloud
A web app for writing and running SQL queries and visualizing the results. Supports Postgres, MySQL, SQL Server, ClickHouse, Crate, Vertica, Trino, Presto, SAP HANA, Cassandra, Snowflake, Google BigQuery, SQLite, TiDB, and many more via ODBC. The docker image runs on port 3000 and uses /var/lib/sqlpad for the embedded database directory. latest tag is continuously built from latest commit in repo. Only use that if you want to live on the edge, otherwise use specific version tags to ensure stability. See docker-examples directory for example docker-compose setup with SQL Server. -
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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. -
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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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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. -
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WHMCS VPS Reseller
Cloud VPS Reseller Provisioning Module for WHMCS
Best WHMCS VPS Reseller Module on Marketplace Integrate with ready-made WHMCS module to leverage auto-provision of Cloud VPS servers from your private-label cloud controller. By integrating with Rad Web Hosting VPS Reseller module, your VPS procurement headaches are over. Your Own Virtual Private Datacenter You instantly have access to your own Virtual Private Cloud VPS cluster-with automated server provisioning available direct from your WHMCS and delivered by you to your end-users. With on-demand VPS provisioning and a full suite of applications and included OS templates, you'll greatly reduce the time-to-market-all without the hassle and costs of building your own cloud data center from scratch. Become Cloud Leaders Your end users will not only have VPS administration abilities from the WHMCS interface, thanks to our VPS Reseller provisioning module, but they can also access incredible feature-rich white-label VPS control panel. -
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AKS Engine
AKS Engine units of Kubernetes on Azure!
AKS Engine is an ARM template-driven way to provision a self-managed Kubernetes cluster on Azure. By leveraging ARM (Azure Resource Manager), AKS Engine helps you create, destroy and maintain clusters provisioned with basic IaaS resources in Azure. AKS Engine has limited support for ongoing operational capabilities such as scaling, in-place upgrades, and extensions. The Cluster API Provider for Azure a.k.a. CAPZ provides more complete operational capabilities. AKS Engine remains the tool for managing Kubernetes clusters on Azure Stack Hub as CAPZ does not yet work there. Read the CLI Overview for a list of features provided by the aks-engine command-line tool. The Quickstart Guide describes how to download the latest release of aks-engine for your environment, and demonstrates how to use aks-engine to create a Kubernetes cluster on Azure that you will manage and customize. -
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AWS CloudTrail Processing Library
Helps Java developers to easily consume and process log files from AWS
The AWS CloudTrail Processing Library is a Java client library that makes it easy to build an application that reads and processes CloudTrail log files in a fault-tolerant and highly scalable manner. The AWS CloudTrail Processing Library helps Java developers to easily consume and process log files from AWS CloudTrail. Provides functionality to continuously download CloudTrail log files in a fault-tolerant and scalable manner. Serializes the events in JSON format to Plain Old Java Objects (POJO). Provides interfaces to implement your own business logic for selecting which events to process, processing events, handling errors, and handling log processing status updates. Monitor, store, and validate activity events for authenticity. Easily generate audit reports required by internal policies and external regulations. -
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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. This gives choice to the customers to use either a Vitis flow or a full custom RTL/Vivado design flow and seamlessly migrate designs between Alveo U200 and F1. The F1.A.1.4 shell for Alveo U200 is fully compatible with F1.X.1.4 shell thus making the migration as simple as swapping the shell with one another, with no design changes to user logic. Xilinx device, xcu200-fsgd2104-2-e (Part used in U200) is based on VU9P and has the same base SLR die with the same number of SLRs as VU9P (F1 device). -
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AWS IoT Greengrass Core SDK
SDK to use with functions running on Greengrass Core using Python
The AWS IoT Greengrass Core SDK is meant to be used by AWS Lambda functions running on an AWS IoT Greengrass Core. It will enable Lambda functions to invoke other Lambda functions deployed to the Greengrass Core, publish messages to the Greengrass Core and work with the local Shadow service. To use the AWS IoT Greengrass Core SDK, you must first import the AWS IoT Greengrass Core SDK in your Lambda function as you would with any other external libraries. You then need to create a client for ‘iot-data’ or ‘lambda’. Use ‘iot-data’ if you wish to publish messages to the local Greengrass Core and interact with the local Shadow service. Use ‘lambda’ if you wish to invoke other Lambda functions deployed to the same Greengrass Core. As new features are added to AWS IoT Greengrass, newer versions of the AWS IoT Greengrass SDK may be incompatible with older versions of the AWS IoT Greengrass core.
