This is a Node.js URL shortener app that uses Cloudflare Workers.
The app is powered by Cloudflare Workers and Upstash Redis for storing data and Kafka for storing the click events along with Materialize for real-time data analytics.
In this post, we will write a very basic example which showcases content moderation for web applications using:
Upstash offers serverless Kafka topics. In this blog post, we are going to demonstrate how to publish to and read from a Kafka topic with only a few clicks using Upstash. The complete project code can be found at here
Tracking logs and errors in a software product is very essential for reliability and maintainability. Kafka is one of the most powerful solution for collecting/storing logs and activities. Use cases can be seen in this blog.
In this post, we will use Upstash Kafka to collect errors and logs occurred while users are using the mobile application which is built by React Native. Once the logs are stored in Kafka, there are endless possibilities how to consume them and integrate to log analysis tools.
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:
In this post, we will showcase how to send Github events to Kafka. We will use Vercel functions as a webhook to send events to Upstash Kafka.
You can send all types of repository events to Kafka. We will use Kafka as a persistent hub for our data thanks to its replication and durability capability. Storing Github events in Kafka opens possibilities for both streaming and batching use cases. You can replicate the events to a database for analytical purposes. At the same time, you can run real time processes to trigger alerts for your security team.
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.
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.
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 article, we will analyse three managed Kafka products to check if they are really serverless.
1- AWS MSK
2- Confluent Cloud
3- Upstash
We are thrilled to announce Upstash Kafka today. Upstash Kafka is the first Serverless Kafka offering. With a pay-per-request model, you can have a fully managed Kafka cluster without paying hundreds of dollars. With the free tier, you can create a Kafka cluster in seconds and without entering your credit card. The Upstash team takes care of availability, maintenance, scaling, upgrades and all the other tedious stuff while you focus on your app.
When we first launched our Redis service, it quickly became popular in the serverless community. More than 8,000 databases have been created since February. This number is much higher than we expected when we first launched Upstash. We continue to improve our Redis service. But we also realized how great is the need for data solutions that fit into the new serverless world.