#Webhooks

[bethelctpride]

Tumblr has a reputation as a dumpster fire, but somehow of all the social media we have to manage, it's the one that works the best when asked to talk to another service.

The tumblr to Discord webhook in Labs worked right, on the first try, and took less than ten minutes to make it work.

MADNESS.

And it's just continued to work, absolutely reliably, with no fiddling with it required, through several Discord updates.

ABSOLUTE INSANITY

That Tumblr just makes a nice pretty RSS feed to work from means we also use it to automate posts to other things. It still sometimes looks a little wonky on other service... but it's functional. Unlike things from Meta which break on the regular and then spit out things that look like an AI chatbot and the Zalgo text generator fucked.

So kudos to Tumblr for somehow being the social media that can talk to the other ones in a functional way with the least having to go fix things when there's an update.

[exinentseo]

Unlock the full potential of your Shopify store with advanced customization using Webhooks & API! 🚀 Whether you want real-time order updates, seamless third-party integrations, or automated workflows, Shopify Webhooks can transform your eCommerce experience. 🔗 Dive into our latest blog to explore how you can enhance your store’s functionality with powerful automation.

[abdelfattah-ragab]

Shrova Mall: A-to-Z e-commerce full-stack application

Shrova Mall: A-to-Z e-commerce full-stack application

Welcome to the book "Shrova Mall: A-to-Z e-commerce full-stack application". In this book, I explain how you can create a full-stack e-commerce application using Angular and NestJS. The application provides payment and shipping functionalities by integrating Stripe for payments and Shippo for shipping. To begin, I will show you the application we are going to build and then start by creating the database. Next, I will explain the backend and finally the frontend application. By the end of this book, you will be able to create your online e-commerce store and cover all possible scenarios. Let’s get started.

[abearinthewoods]

Having discord webhooks enabled means i don't miss the pipeline of like -> reblog -> follow -> see other posts by me -> block that would normally get hidden from activity once it hit that final stage.

[pretentiouscatty-blog]

I wish someone would make art about tech. Like APIs as little furry messengers flitting about with their backpacks full of payloads. Webhooks as little wispy pockets of messages that poof away as soon as they reach their destination. Databases as large sentient castles with dungeons and dungeons full of forgotten data.

[govindhtech]

New GKE Ray Operator on Kubernetes Engine Boost Ray Output

GKE Ray Operator

The field of AI is always changing. Larger and more complicated models are the result of recent advances in generative AI in particular, which forces businesses to efficiently divide work among more machines. Utilizing Google Kubernetes Engine (GKE), Google Cloud’s managed container orchestration service, in conjunction with ray.io, an open-source platform for distributed AI/ML workloads, is one effective strategy. You can now enable declarative APIs to manage Ray clusters on GKE with a single configuration option, making that pattern incredibly simple to implement!

Ray offers a straightforward API for smoothly distributing and parallelizing machine learning activities, while GKE offers an adaptable and scalable infrastructure platform that streamlines resource management and application management. For creating, implementing, and maintaining Ray applications, GKE and Ray work together to provide scalability, fault tolerance, and user-friendliness. Moreover, the integrated Ray Operator on GKE streamlines the initial configuration and directs customers toward optimal procedures for utilizing Ray in a production setting. Its integrated support for cloud logging and cloud monitoring improves the observability of your Ray applications on GKE, and it is designed with day-2 operations in mind.

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Getting started

When establishing a new GKE Cluster in the Google Cloud dashboard, make sure to check the “Enable Ray Operator” function. This is located under “AI and Machine Learning” under “Advanced Settings” on a GKE Autopilot Cluster.

The Enable Ray Operator feature checkbox is located under “AI and Machine Learning” in the “Features” menu of a Standard Cluster.

You can set an addons flag in the following ways to utilize the gcloud CLI:

gcloud container clusters create CLUSTER_NAME \ — cluster-version=VERSION \ — addons=RayOperator

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GKE hosts and controls the Ray Operator on your behalf after it is enabled. After a cluster is created, your cluster will be prepared to run Ray applications and build other Ray clusters.

Record-keeping and observation

When implementing Ray in a production environment, efficient logging and metrics are crucial. Optional capabilities of the GKE Ray Operator allow for the automated gathering of logs and data, which are then seamlessly stored in Cloud Logging and Cloud Monitoring for convenient access and analysis.

When log collection is enabled, all logs from the Ray cluster Head node and Worker nodes are automatically collected and saved in Cloud Logging. The generated logs are kept safe and easily accessible even in the event of an unintentional or intentional shutdown of the Ray cluster thanks to this functionality, which centralizes log aggregation across all of your Ray clusters.

By using Managed Service for Prometheus, GKE may enable metrics collection and capture all system metrics exported by Ray. System metrics are essential for tracking the effectiveness of your resources and promptly finding problems. This thorough visibility is especially important when working with costly hardware like GPUs. You can easily construct dashboards and set up alerts with Cloud Monitoring, which will keep you updated on the condition of your Ray resources.

TPU assistance

Large machine learning model training and inference are significantly accelerated using Tensor Processing Units (TPUs), which are custom-built hardware accelerators. Ray and TPUs may be easily used with its AI Hypercomputer architecture to scale your high-performance ML applications with ease.

By adding the required TPU environment variables for frameworks like JAX and controlling admission webhooks for TPU Pod scheduling, the GKE Ray Operator simplifies TPU integration. Additionally, autoscaling for Ray clusters with one host or many hosts is supported.

Reduce the delay at startup

When operating AI workloads in production, it is imperative to minimize start-up delay in order to maximize the utilization of expensive hardware accelerators and ensure availability. When used with other GKE functions, the GKE Ray Operator can significantly shorten this startup time.

You can achieve significant speed gains in pulling images for your Ray clusters by hosting your Ray images on Artifact Registry and turning on image streaming. Huge dependencies, which are frequently required for machine learning, can lead to large, cumbersome container images that take a long time to pull. For additional information, see Use Image streaming to pull container images. Image streaming can drastically reduce this image pull time.

Moreover, model weights or container images can be preloaded onto new nodes using GKE secondary boot drives. When paired with picture streaming, this feature can let your Ray apps launch up to 29 times faster, making better use of your hardware accelerators.

Scale Ray is currently being produced

A platform that grows with your workloads and provides a simplified Pythonic experience that your AI developers are accustomed to is necessary to stay up with the quick advances in AI. This potent trifecta of usability, scalability, and dependability is delivered by Ray on GKE. It’s now simpler than ever to get started and put best practices for growing Ray in production into reality with the GKE Ray Operator.

Read more on govindhtech.com

[smarttechie]

Building Secure Webhooks with Spring Boot: A Step-by-Step Guide

In today’s digital world, real-time communication and immediate responsiveness have become crucial for modern applications. Webhooks, a powerful mechanism for enabling instant event notifications, have emerged as a key player in achieving this real-time interaction. In this blog post, we’ll learn about webhooks, exploring their significance, use cases, and the fundamental differences with…

[robomad]

Integrating Payment Gateways in Django Applications

How to Integrate Payment Gateways in Django Applications

Introduction Integrating payment gateways is crucial for e-commerce applications and any service that requires online payments. Django provides a robust framework for integrating various payment gateways such as Stripe, PayPal, and more. This article will guide you through the process of integrating these payment gateways into your Django application, focusing on Stripe as an…

[roadmaperp-software]

Webhook

Webhook is an HTTP request or callback function triggered by an event in a source system and sent to a destination system, often with payload data📊. These are automated requests sent out when their event occurs in the source system. They are real-time, automatic, event-based, and one-way push-style communication.

Whether it’s an e-commerce platform🏪notifying a logistics provider of a new order or a cloud storage system alerting an app of a new file upload, webhooks make sure that applications efficiently “talk” to each other.

When a customer places an order in the e-commerce platform, the inventory system can be instantly notified, setting in motion a series of automated processes, from stock deduction to shipping preparations.

Webhooks have firmly established themselves as indispensable tools of real-time digital communication today by pushing data instantly in response to specific events. They also optimize server load, reduce network traffic, and enhance application integration.

[exinentseo]

🚀 Want to supercharge your Shopify app with real-time updates? Webhooks are the game-changer you need! 🔄 Stay ahead with instant data sync, automated workflows, and seamless customer interactions. Whether you're a developer or store owner, understanding how to leverage webhooks can elevate your eCommerce operations. Ready to unlock their full potential? Read the full blog now! ⬇️

[abdelfattah-ragab]

Stripe Integration in Angular: A Step-by-Step Guide to Creating Payment Functionality

Stripe Integration in Angular: A Step-by-Step Guide to Creating Payment Functionality

Welcome to the book “Stripe Integration in Angular: A Step-by-Step Guide to Creating Payment Functionality”. In this book, I explain how to integrate Stripe into your Angular application. Stripe is a leading payment processing platform that enables businesses to accept online payments. By integrating payment processing into your application, you can create all kinds of e-commerce applications. You will learn how to create the checkout session, how to use webhooks events and finally how to go live. By the end of this book, you will be able to process payments in your Angular application and handle all kinds of scenarios. Let us get started.

[half-asleep-star]

(ignore this)

I'm just testing out my Discord webhook :)

If you're reading this from Discord, great!

[natures-uprise]