Open Source Windows Cloud Services Software - Page 6
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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. -
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Amazon Genomics CLI
Tool to simplify the processes of deploying the AWS infrastructure
Amazon Genomics CLI is an open-source CLI that helps customers run genomics workflows in the cloud by automating the deployment of best practices infrastructure for workflow engines. Amazon Genomics CLI reduces the time for scientists and developers to start running existing genomics workflows at scale and speeds up iteration cycles as they develop new ones. Amazon Genomics CLI is an open-source tool for genomics and life science customers that simplifies and automates the deployment of cloud infrastructure, providing you with an easy-to-use command-line interface to quickly setup and run genomics workflows on Amazon Web Services (AWS) specified by languages like WDL. By removing the heavy lifting from setting up and running genomics workflows in the cloud, software developers and researchers can automatically provision, configure and scale cloud resources to enable faster and more cost-effective population-level genetics studies, drug discovery cycles, and more. -
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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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Amazon Neptune Gremlin Java Sigv4
A Gremlin client for Amazon Neptune that includes AWS Signature
An extension to GremlinDriver with a custom channelizer that enables AWS Signature Version 4 signed requests to Amazon Neptune. This series uses TinkerPop 3.3.x client. Note that active maintenance on TinkerPop 3.3.x has stopped and hence, this version is not recommended. This series uses TinkerPop 3.4.x client. This major version tracks the latest stable release for this package. Note that a minor version (y in 2.x.y) is bumped whenever a new version of Apache TinkerPop is added as a dependency or a major feature is introduced. All minor versions in 2.x series are backward compatible. This package can also be used to enable Gremlin Console to send signed requests to Neptune, refer to Connecting to Neptune Using the Gremlin Console with Signature Version 4 Signing. -
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Amazon Neptune Sparql Java Sigv4
A SPARQL client for Amazon Neptune that includes AWS Signature
A SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository. SPARQL client for Amazon Neptune that includes AWS Signature Version 4 signing. Implemented as an RDF4J repository and Jena HTTP Client. -
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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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CloudEvents
CloudEvents Specification
Events are everywhere. However, event producers tend to describe events differently. The lack of a common way of describing events means developers must constantly re-learn how to consume events. This also limits the potential for libraries, tooling and infrastructure to aide the delivery of event data across environments, like SDKs, event routers or tracing systems. The portability and productivity we can achieve from event data is hindered overall. CloudEvents is a specification for describing event data in common formats to provide interoperability across services, platforms and systems. -
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Cloudprober
Active monitoring software to detect failures
Cloudprober is a monitoring software that makes it super-easy to monitor availability and performance of various components of your system. Cloudprober employs the “active” monitoring model. It runs probes against (or on) your components to verify that they are working as expected. For example, it can run a probe to verify that your frontends can reach your backends. Similarly it can run a probe to verify that your in-Cloud VMs can actually reach your on-premise systems. This kind of monitoring makes it possible to monitor your systems’ interfaces regardless of the implementation and helps you quickly pin down what's broken in your system. Written entirely in Go, and compiles into a static binary. Deploy as a standalone binary, or through docker containers. Continuous, automated target discovery, to ensure that most infrastructure changes don't require re-deployment. Low footprint. -
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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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Empire
A PaaS built on top of Amazon EC2 Container Service (ECS)
Empire is a control layer on top of Amazon EC2 Container Service (ECS) that provides a Heroku-like workflow. It conforms to a subset of the Heroku Platform API, which means you can use the same tools and processes that you use with Heroku, but with all the power of EC2 and Docker. Empire is targeted at small to medium-sized startups that are running a large number of microservices and need more flexibility than what Heroku provides. You can read the original blog post about why we built Empire on the Remind engineering blog. Empire aims to make it trivially easy to deploy a container-based microservices architecture, without all of the complexities of managing systems like Mesos or Kubernetes. ECS takes care of much of that work, but Empire attempts to enhance the interface to ECS for deploying and maintaining applications, allowing you to deploy Docker images. -
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FilterBadRecruiters
Google Apps Script to send third party recruiter email to spam
FilterBadRecruiters is a Google Apps Script that processes new messages looking for unwanted email from known third party recruiters. When a match is found, a reply is sent informing the sender that the message is being reported as spam and will not be read. The script then logs matches to a spreadsheet and updates a pie chart displaying what percentage of these type of messages were sent from each domain. -
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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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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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GitHub Actions for Firebase
GitHub Action for interacting with Firebase
This Action for firebase-tools enables arbitrary actions with the firebase command-line client. Starting with version v2.1.2 each version release will point to a versioned docker image allowing for hardening our pipeline (so things don't break when I do something dump). On top of this, you can also point to a master version if you would like to test out what might not be deployed into a release yet. If you want to add a message to a deployment (e.g. the Git commit message) you need to take extra care and escape the quotes or the YAML breaks. A normal service account key(json format) or a base64 encoded service account key with the needed permissions for what you are trying to deploy/update. If you're deploying functions, you would also need the Cloud Functions Developer role, and the Cloud Scheduler Admin for scheduled functions. -
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GoCloudNative.Bff
A secure, scalable, developer-friendly, and free OIDC Authentication G
The GoCloudNative.Bff is an affordable, developer-friendly, and secure Authentication Gateway that can be implemented by anyone. Many BFF solutions or authentication gateways are expensive to purchase, have complicated licenses, and are often very intricate to use. The GoCloudNative.BFF, on the other hand, is a basic, free authentication gateway that you can get up and running quickly. -
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Ice AWS
AWS Usage Tool
Ice provides a birds-eye view of our large and complex cloud landscape from a usage and cost perspective. Cloud resources are dynamically provisioned by dozens of service teams within the organization and any static snapshot of resource allocation has limited value. The ability to trend usage patterns on a global scale, yet decompose them down to a region, availability zone, or service team provides incredible flexibility. Ice allows us to quantify our AWS footprint and to make educated decisions regarding reservation purchases and reallocation of resources. Ice is a Grails project. It consists of three parts: processor, reader, and UI. The processor processes the Amazon detailed billing file into data readable by the reader. The reader reads data generated by the processor and renders them to UI. UI queries the reader and renders interactive graphs and tables in the browser. -
18
IronFunctions
IronFunctions - the serverless microservices platform
IronFunctions is an open-source serverless platform, also known as Functions as a Service (FaaS), developed by Iron.io. It allows developers to write functions in any language and deploy them in a serverless environment, enabling microservices architectures without managing underlying infrastructure. IronFunctions is designed to run anywhere, offering flexibility and scalability for modern application development. -
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Istio
Connect, secure, control, and observe services
Istio is an open platform for connecting, securing, and managing microservices. It provides a uniform way of integrating microservices, managing traffic flow, enforcing policies and aggregating telemetry data. With its diverse feature set you can successfully and efficiently run a distributed microservice architecture, overall reducing deployment complexity and easing the strain on development teams. Istio currently supports Kubernetes and Consul-based environments, with plans to support additional platforms in the near future. -
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JWP
Java Web Printer
Java Web Printer interface 0.1 JWP 0.1 is the Java Web Printer interface that lets you print your documents from anywhere, anytime, to any installed printer. No need to install any printer drivers on the client machine, just use a web browser and upload your PDF file. You can print any PDF file with just a few clicks, using one of the available print methods: PDFbox, CUPS, or Filesystem. JWP 0.1 is compatible with Windows and other OS, and requires only a Jakarta EE capable Web Application Server and root rights. JWP 0.1 is the initial very basic release, but it works! Download and deploy it today and enjoy the convenience of remote printing! -
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Kubernetes External Secrets
Integrate external secret management systems with Kubernetes
Kubernetes External Secrets allows you to use external secret management systems, like AWS Secrets Manager or HashiCorp Vault, to securely add secrets in Kubernetes. Read more about the design and motivation for Kubernetes External Secrets on the GoDaddy Engineering Blog. The community and maintainers of this project and related Kubernetes secret management projects use the #external-secrets channel on the Kubernetes slack for discussion and brainstorming. The project extends the Kubernetes API by adding an ExternalSecrets object using Custom Resource Definition and a controller to implement the behavior of the object itself. An ExternalSecret declares how to fetch the secret data, while the controller converts all ExternalSecrets to Secrets. The conversion is completely transparent to Pods that can access Secrets normally. By default Secrets are not encrypted at rest and are open to attack, either via the etcd server or via backups of etcd data. -
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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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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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MicroK8s
Single-package Kubernetes for developers, IoT and edge
Low-ops, minimal production Kubernetes, for devs, cloud, clusters, workstations, Edge and IoT. MicroK8s automatically chooses the best nodes for the Kubernetes datastore. When you lose a cluster database node, another node is promoted. No admin needed for your bulletproof edge. MicroK8s is small, with sensible defaults that ‘just work’. A quick install, easy upgrades and great security make it perfect for micro clouds and edge computing. As the publishers of MicroK8s, we deliver the world’s most efficient multi-cloud, multi-arch Kubernetes. Under the cell tower. On the racecar. On satellites or everyday appliances, MicroK8s delivers the full Kubernetes experience on IoT and micro clouds. Fully containerized deployment with compressed over-the-air updates for ultra-reliable operations. MicroK8s will apply security updates automatically by default, defer them if you want. Upgrade to a newer version of Kubernetes with a single command. It’s really that easy. -
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Middy
The stylish Node.js middleware engine for AWS Lambda
Middy is a very simple middleware engine that allows you to simplify your AWS Lambda code when using Node.js. If you have used web frameworks like Express, then you will be familiar with the concepts adopted in Middy and you will be able to get started very quickly. A middleware engine allows you to focus on the strict business logic of your Lambda and then attach additional common elements like authentication, authorization, validation, serialization, etc. in a modular and reusable way by decorating the main business logic. One of the main strengths of serverless and AWS Lambda is that, from a developer perspective, your focus is mostly shifted toward implementing business logic. Anyway, when you are writing a handler, you still have to deal with some common technical concerns outside business logic, like input parsing and validation, output serialization, error handling, etc.
