Open Source Linux Cloud Services Software - Page 4
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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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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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Tuya API
An easy-to-use API for devices that use Tuya's cloud services
A Node.js library that enables control of Tuya smart devices without using the official Tuya cloud, allowing local LAN control of IoT devices. -
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Virto Commerce Platform
VirtoCommerce Platform repository
A unique, highly tailored customer experience (CX) might become a significant advantage to beating any competitor, even with a larger market presence and budget. Choose Virto Commerce's headless, API-driven platform to build such a unique CX. Entrepreneurs ourselves, we constantly develop our .NET Core platform offering the flexibility, scalability, and agility for building new revenue sources like online stores, B2B portals, multi-vendor portals, mobile apps, chatbots or any other touchpoints. Use Virto Commerce B2B eCommerce platform as a transformational force to reimagine how to do business, identify new markets and deploy resources more efficiently for higher ROI. Strive for online business when you win while the client wins as well. Worldwide network of certified implementation partners & solution partners to fit every project. Build a B2B channel with complicated business logic on top of your e-commerce solution without re-platforming or data duplication. -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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aws-nuke
Nuke a whole AWS account and delete all its resources
Remove all resources from an AWS account. Be aware that aws-nuke is a very destructive tool, hence you have to be very careful while using it. Otherwise, you might delete production data. We strongly advise you to not run this application on any AWS account, where you cannot afford to lose all resources. We are testing our Terraform code with Jenkins. Sometimes a Terraform run fails during development and messes up the account. With aws-nuke, we can simply clean up the failed account so it can be reused for the next build. Our platform developers have their own AWS accounts where they can create their own Kubernetes clusters for testing purposes. With AWS-nuke it is very easy to clean up these accounts at the end of the day and keep the costs low. There are two ways to authenticate aws-nuke. There are static credentials and profiles. The later one can be configured in the shared credentials file. -
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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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RadWebHosting-whmcs
Rad Web Hosting Domain Registrar module for WHMCS
Domains Registrar module for WHMCS to integrate API functionality for resellers directly into their WHMCS installations. Simplifies the automation of registering, transferring, and renewing domain name registrations. Rad Web Hosting account is required to receive API credentials. -
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aguacate
With aguacate you get a better taste
Aguacate is a framework with focus on implement business logic functionality, using configuration files (json) instead of programming. See the wiki and the videos See https://github.com/mcnew/aguacate-swagger-demo for a functional demo using docker-compose Videos in Spanish: https://www.youtube.com/playlist?list=PLSHQIkodyHroW2XF7BWCrymDv_Nlj7HRS -
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AWS CDI SDK
AWS Cloud Digital Interface (CDI) SDK
The AWS Cloud Digital Interface (CDI) SDK is the library which implements the low-latency reliable transport of data between systems in the cloud including AWS Media Services and Amazon EC2 instances. The SDK takes care of the complex task of ensuring that large amounts of data are seamlessly transferred across the AWS network using multi-path technology to ensure lossless quality without the need for extensive network buffering and delay. The SDK consists of two main API layers, depending on the desired level of functionality, and a common core layer. The CDI Audio, Video and Metadata (CDI-AVM) layer takes care of transferring multi-stream, modern video signals that contain video, audio and metadata. The CDI Raw Payload (CDI-RAW) layer takes care of transferring raw generic payloads. The CDI Core (CDI-CORE) layer takes care of common core functionality. -
Securely stream and govern industrial data to power intelligent operations with agentic insights.Trusted MQTT Platform — Fully-managed and cloud-native MQTT platform for bi-directional IoT data movement.
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AWS Cloud Map MCS Controller for K8s
K8s controller implementing Multi-Cluster Services API
The AWS Cloud Map Multi-cluster Service Discovery Controller for Kubernetes (K8s) implements the Kubernetes multi-cluster services API specification, which allows services to communicate across multiple clusters. The implementation relies on AWS Cloud Map for enabling cross-cluster service discovery. For multi-cluster service discovery and consumption, the controller should be installed on a minimum of 2 EKS clusters. Participating clusters should be provisioned into a single AWS account, within a single AWS region. Install the The CoreDNS multicluster plugin into each participating cluster. The multicluster plugin enables CoreDNS to lifecycle manage DNS records for ServiceImport objects. The controller must have sufficient IAM permissions to perform required Cloud Map operations. Grant IAM access rights AWSCloudMapFullAccess to the controller Service Account to enable the controller to manage Cloud Map resources. -
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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 Greengrass Core SDK for JavaScript
Greengrass Nodejs SDK
The AWS Greengrass Core SDK for JavaScript allows developers to write JavaScript Lambda functions that will run within Greengrass. This document provides instructions for preparing your Greengrass Core environment to run Lambda functions written in JavaScript. It also includes examples on how to develop a Lambda function in JavaScript as well as packaging and running an example Hello World file in JavaScript for your Greengrass core. The environment where Greengrass is running on needs to be able to run NodeJS 12.x applications. Unzip the SDK into your node_modules folder of your function. This should create a aws-greengrass-core-sdk folder which includes the SDK. Your console.log operation will be logged as INFO. A console.error operation will be logged as error. Currently, our NodeJS SDK only allows you to log at info or error level only. -
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AWS IoT Device SDK for Embedded C
SDK for connecting to AWS IoT from a device using embedded C
The AWS IoT Device SDK for Embedded C (C-SDK) is a collection of C source files under the MIT open source license that can be used in embedded applications to securely connect IoT devices to AWS IoT Core. It contains MQTT client, HTTP client, JSON Parser, AWS IoT Device Shadow, AWS IoT Jobs, and AWS IoT Device Defender libraries. This SDK is distributed in source form and can be built into customer firmware along with application code, other libraries, and an operating system (OS) of your choice. These libraries are only dependent on standard C libraries, so they can be ported to various OS's - from embedded Real-Time Operating Systems (RTOS) to Linux/Mac/Windows. You can find sample usage of C-SDK libraries on POSIX systems using OpenSSL (e.g. Linux demos in this repository), and on FreeRTOS using mbedTLS (e.g. FreeRTOS demos in the FreeRTOS repository). The coreHTTP library provides the ability to establish an HTTP connection with a server over a customer-implemented transport layer. -
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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. -
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AWS Lambda NodeJS Runtime Interface
Extend your preferred base images to be Lambda compatible
We have open-sourced a set of software packages, Runtime Interface Clients (RIC), that implement the Lambda Runtime API, allowing you to seamlessly extend your preferred base images to be Lambda compatible. The Lambda Runtime Interface Client is a lightweight interface that allows your runtime to receive requests from and send requests to the Lambda service. The Lambda NodeJS Runtime Interface Client is vended through npm. You can include this package in your preferred base image to make that base image Lambda compatible. To make it easy to locally test Lambda functions packaged as container images we open-sourced a lightweight web-server, Lambda Runtime Interface Emulator (RIE), which allows your function packaged as a container image to accept HTTP requests. You can install the AWS Lambda Runtime Interface Emulator on your local machine to test your function. -
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AWS Node Termination Handler
Gracefully handle EC2 instance shutdown within Kubernetes
This project ensures that the Kubernetes control plane responds appropriately to events that can cause your EC2 instance to become unavailable, such as EC2 maintenance events, EC2 Spot interruptions, ASG Scale-In, ASG AZ Rebalance, and EC2 Instance Termination via the API or Console. If not handled, your application code may not stop gracefully, take longer to recover full availability, or accidentally schedule work to nodes that are going down. Secure and resizable compute capacity for virtually any workload. Amazon Elastic Compute Cloud (Amazon EC2) offers the broadest and deepest compute platform, with over 500 instances and a choice of the latest processor, storage, networking, operating system, and purchase model to help you best match the needs of your workload. We are the first major cloud provider that supports Intel, AMD, and Arm processors, the only cloud with on-demand EC2 Mac instances, and the only cloud with 400 Gbps Ethernet networking. -
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AWS SAM CLI
CLI tool to build, test, debug, and deploy Serverless applications
The AWS Serverless Application Model (SAM) CLI is an open-source CLI tool that helps you develop serverless applications containing Lambda functions, Step Functions, API Gateway, EventBridge, SQS, SNS and more. The AWS Serverless Application Model (SAM) is an open-source framework for building serverless applications. It provides shorthand syntax to express functions, APIs, databases, and event source mappings. With just a few lines per resource, you can define the application you want and model it using YAML. During deployment, SAM transforms and expands the SAM syntax into AWS CloudFormation syntax, enabling you to build serverless applications faster. To get started with building SAM-based applications, use the SAM CLI. SAM CLI provides a Lambda-like execution environment that lets you locally build, test, debug, and deploy AWS serverless applications. -
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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 SDK for Ruby
AWS SDK for Ruby
Get started quickly using AWS with the AWS SDK for Ruby. The SDK helps take the complexity out of coding by providing Ruby classes for many AWS services including Amazon S3, Amazon EC2, DynamoDB, and more. The SDK is provided as individual downloadable packages for each AWS service, which include code and documentation. The SDK is also available through Ruby Gems. Version 3 of the AWS SDK for Ruby modularizes the monolithic SDK into service-specific gems, for example, aws-sdk-s3 and aws-sdk-dynamodb. Now each service gem uses strict semantic versioning, along with the benefits of continuous delivery of AWS API updates. With modularization, you can pick and choose which service gems your application or library requires, and update service gems independently of each other. You will need to configure credentials and a region, either in configuration files or environment variables, to make API calls. It is recommended that you provide these via your environment. -
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AWS Serverless Workshops
Code and walkthrough labs to set up serverless applications
This repository contains a collection of workshops and other hands-on content that will guide you through building various serverless applications using AWS Lambda, Amazon API Gateway, Amazon DynamoDB, AWS Step Functions, Amazon Kinesis, and other services. This workshop shows you how to build a dynamic, serverless web application. You'll learn how to host static web resources with Amazon S3, how to use Amazon Cognito to manage users and authentication, and how to build a RESTful API for backend processing using Amazon API Gateway, AWS Lambda and Amazon DynamoDB. Shows you how to build in security at multiple layers of your application, starting with sign-up and sign-in functionality for your application, how to secure serverless microservices, and how to leverage AWS's identity and access management (IAM) to provide fine-grained access control to your application's users. You'll learn how AWS Amplify integrates with Amazon Cognito, Amazon API Gateway, AWS Lambda, and IAM. -
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AWS Service Provider for Laravel
A Laravel 5+ (and 4) service provider for the AWS SDK for PHP
This is a simple Laravel service provider for making it easy to include the official AWS SDK for PHP in your Laravel and Lumen applications. 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. Conveniently marshal and unmarshal JSON documents and PHP arrays for storage in Amazon DynamoDB. Use PHP's built-in functions such as fopen, copy, and file_get_contents to work with objects stored in Amazon S3. Remove the session state scale bottleneck by easily storing application session state in DynamoDB. Automates polling for resource state changes such as waiting for a newly launched Amazon EC2 instance to reach the 'running' state. In order to use the AWS SDK for PHP within your app, you need to retrieve it from the Laravel Service Container. -
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AWS Service Provider for Silex
Simple Silex service provider for including the AWS SDK for PHP
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 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 CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler Python Agent
Amazon CodeGuru Profiler collects runtime performance data from your live applications and provides recommendations that can help you fine-tune your application performance. Using machine learning algorithms, CodeGuru Profiler can help you find your most expensive lines of code and suggest ways you can improve efficiency and remove CPU bottlenecks. CodeGuru Profiler provides different visualizations of profiling data to help you identify what code is running on the CPU, see how much time is consumed, and suggest ways to reduce CPU utilization. Use CodeGuru Profiler to help profile your applications in the cloud from a single, centralized dashboard. CodeGuru Profiler currently supports applications written in all Java virtual machine (JVM) languages and Python.
