Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Cloud Native pipelines from Tekton

Surging is a micro-service engine that provides a lightweight, high-performance, modular RPC request pipeline. support Event-based Asynchronous Pattern and reactive programming.

A simple mediator for .Net for sending command, publishing event and request response with pipelines supported

Open-WebUI-Functions is a collection of custom pipelines, filters, and integrations designed to enhance Open WebUI. These functions enable seamless interactions with Azure AI, N8N, Google Gemini and other AI models, providing dynamic request handling, preprocessing, and automation.

Exception handling as a convention in the ASP.NET Core request pipeline

This package implements an HTTP request pipeline suitable for use across multiple go-routines and provides the shared routines relied on by AutoRest generated Go code.

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

将Gitlab的push、tag push、merge request和pipeline推送到企业微信的机器人

A platform that pipelines web requests to WeChat/Telegram notifications.

Fast mediator for handling requests, commands, notifications, and streams with ValueTask and ordered pipelines

A GitHub Action & Azure Pipelines task for augmenting pull request titles to let reviewers quickly determine PR size and test coverage.

A Rack middleware for Rails >= 3.1.0 with asset pipeline and asset digest enabled. This middleware is used to redirect any request to static asset without a digest to the version with digest in its filename by reading the assets manifest file generated after you run `rake assets:precompile`

Dart backend framework. Supports multithreading, websockets. It contains project build system, request processing pipeline, authentication aids and logging tools.

Surging is a micro-service engine that provides a lightweight, high-performance, modular RPC request pipeline. The service engine supports http, TCP, WS,Grpc, Thrift,Mqtt, UDP,RTMP,HttpFlv and DNS protocols. It uses ZooKeeper and Consul as a registry, and integrates it. Hash, random, polling, Fair Polling as a load balancing algorithm, built-in service governance to ensure reliable RPC communication, the engine contains Diagnostic, link tracking for protocol and middleware calls, and integration SkyWalking Distributed APM

GitLab monitor for open merge requests and pipeline status. Originally intended to be used as a dashboard in a big screen TV.

The WebRequest API provides an easy interface for accessing the HTTP pipeline by implementing a Request model that provides an easy, await-able and extendable way to fetch resources asynchronously across the network.

Fast isomorphic lightweight framework to build pipelines for request/response, stream/response, request/response and stream/stream use-cases

Jenkins Pipeline jobs for Terraform with remote state locking, pull request integration and chat notifications

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This is a chrome extension that forwards the content of network requests on web pages to the processing server.This extension can better help development engineers or test engineers understand the specifics of interface requests and responses in web pages.

Caching and cache invalidation of MediatR Requests via Pipeline Behaviors

📬 Modern C++20 messaging infrastructure with pub/sub, request/reply, event streaming, and message pipeline patterns

Example on monitoring network state on all Retrofit requests in a single place and bubbling up through the RX pipeline.

Efficiently pipeline, batch, and cache requests to any data source

Search Request Processor: pipeline for transformation of queries and results inline with a search request.

Package pipeline implements an HTTP request/response middleware pipeline whose policy objects mutate an HTTP request's URL, query parameters, and/or headers before the request is sent over the wire. This is the Go implementation.

A Devops pipeline is set of automated processes and tools that the development (Dev) and operations (Ops) teams implement to build, test, and deploy software faster and easier. In this course you will complete DevOps pipeline generally consists of a set of tools which are normally broken down into the following categories: Plan Code Integrate Test Release Deploy Operate This learning path will cover: Git is an open-source and distributed version control system. Github is git repository hosting service used for code sharing, bug tracking, feature request and much more. PyCharm is an integrated development environment (IDE) for python programing language. Flask is a python web framework. HTML is the standard markup language for Web pages. CSS is a style sheet language use to style a HTML document. SQLAlchemy is an open-source SQL toolkit and object-relational mapper which gives full power and flexibility of SQL. Selenium is used to automate web browser interaction. Pytest is unit testing framework that allows users to write test codes. Ngrok allows to expose a web server running on your local machine to the internet. Github Action enables you to include Continues Integration (CI) and continuous deployment (CD) capabilities and many other features directly in your repository. Docker is an open source containerization platform enables developers to package applications into containers. Docker Hub is a cloud-based repository for finding and sharing container images with your team. Kubernetes is an open-source container orchestration for automating deployment, scaling, and management of containerized applications. This course is one stop shop where you will learn web development, continuous integration, continuous deployment, containerization, writing neat and quality code, devops concepts and much more with python programing language. What you’ll learn Learn to build Continuous Integration Continuous Deployment pipeline Build CI CD tool to update docker image after any update Learn to create dockerfile Learn the fundamental concepts of Docker Learn the fundamental concepts of Kubernetes Learn to create Kubernetes YAML files Learn to deploy high availability, fault tolerance, scalable application Learn all the basic and advanced git commands Learn different types of branches like master, developer, feature, release and hotfix branch Learn fundamental concepts of Version Control System Learn to use Github actions for CI CD pipeline Learn to build python flask web application Learn to use SQL Alchemy Lean to create HTML pages using HTML, CSS and bootstrap Are there any course requirements or prerequisites? Git installed Docker installed Kubernetes installed Any IDE Github account Docker hub account Who this course is for: Anyone who wants to Enhance their skills in DevOps domain Developers and IT Pros Instructor User photo Pranjal Srivastava Docker | Kubernetes | AWS | Azure | ML | Linux | Python I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer. I have authored 60+ courses with over 50,000+ students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

HTTPnet is a high performance .NET library for HTTP and WebSocket based communication. It provides a HTTP/WebSocket server and a powerful processing pipeline for HTTP request and their responses.

A plugin to showcase Recent Pull Requests and Actions pipeline relevant to the user at the homepage in Backstage Enterprise.

Extends the .NET DefaultHttpClientFactory to support contextually appropriate primary handlers (i.e. unique certificates for different endpoints) and per-request cookie scope while retaining the benefits of handler pooling and typed client pipelines