56 posts tagged with "serverless"

In this post, we will show how to push Stripe events to Apache Kafka using Upstash Webhook API. Once data is in Kafka there are many use cases how you can use it:

• Processing payment events (with Apache Flink or Spark) to notify your business and sales team.
• Trigger processes such as sending Slack messages or email if a payment fails.
• Using a Kafka connector to move the data to a database or data warehouse to feed reporting and analytics applications.
• Feeding new payment activity data to your CRM.

In a mobile application, there may be a need to send some information, warnings or guidance to the end-users in the app. One way to do this is sending in-app announcements to the users.

In this blog post, we will develop a mobile application to show how to send announcements to the users with serverless Redis. We will use React Native to develop a mobile application and Upstash for a serverless Redis, which is directly connected to the app.

Next.js is one of the most popular frontend frameworks with React at its core. It can generate static HTML or render dynamically on the client and server. This makes it a versatile tool for applications and websites of every type. And the best thing is, it’s open-source, and you can use it free of charge!

NextAuth is a third-party library for Next.js that helps you integrate different identity providers and databases. You can save your users time at sign up and still have all their essential account information in your chosen database. NextAuth comes with support for over 50 authentication providers, including GitHub, Google, Facebook, Coinbase, and many more.

Nowadays, it is hard to image the IT world without Redis databases. In Stackoverflow's Developer Survey published in 2021, the in-memory database enjoyed great popularity and was chosen as the most loved database by over 70000 developers. As an in-memory database, Redis delivers strong performance, making it ideal in scenarios that require short response times and minimal latency. However, the use cases of Redis are often wrongly understood as being limited to caching and message-brokering. Today we'll look at why this is wrong and use Redis in the role of a primary database.

As full stack web framework Remix provides APIs to deal with common web server use cases. This post will focus on sessions and why and how you can use Upstash to store them.

What is a session?​

The Remix docs have a very good introduction to sessions https://remix.run/docs/en/v1/api/remix#sessions

In a few words - sessions are a mechanism that allows the server and the client to share user data / state. Example of session uses are tracking user authentication state, shopping carts status, flash messages etc.

Remix is a new take on what it means to be a fullstack React framework, focusing on existing web standards and tying the frontend closely to the backend. This tight coupling is a breath of fresh air when you see how simple it is to load data into your React components or how to process data submitted from a form.

In this article we will see Remix's power by creating a simple Feature Flag management system using Upstash Redis as the database.

Logstash is one of the most popular log shipping product that can collect logs from multiple sources and can ship to multiple targets.

In this blogpost, we will ship logs to Upstash Kafka using Logstash. Then we will make simple analysis with Cloudflare Workers. In order to keep the post simple we will ship some sample words from a file but you can ship any logs using Logstash using its input plugins.

In this post, we will use React Native, Serverless framework and Upstash to develop a mobile application for viewing and updating a leaderboard.

We will use React Native to develop the mobile application backed by the Serverless framework, which consists of Python functions running on AWS Lambda.

Kafka is a messaging and stream processing platform with many use cases. In this post we will talk about the use cases most relevant to web applications.

Website Activity Tracking​

You can track your user’s behaviour on your website using Kafka. You send all types of activities (clicks, searches, scrolls, form submissions) to different Kafka topics. Once you have all activity data in your Kafka, you can consume data to process it for real-time monitoring, real-time processing, and loading to a data warehouse for advanced analytics.

In this post, we will create a waiting room for your Next.js application using Vercel Edge functions and Upstash Redis.

You can check the source code and the demo app.

Waiting Room?​

The waiting room is useful when you want to limit the number of active visitors to your website so as not to overload your resources.

In our implementation, you will be able to set a maximum number of active visitors. There will two parameters to control the traffic:

• Max website capacity: Max number of visitors in the website at the same time?
• Max session timeout: Max number of seconds that a visitor can stay idle