Photo by Markus Spiske on Unsplash

We are all working really hard for making an impact and once in a while there’s an opportunity for making a HUGE impact by a really small effort. After reading this post you’ll be able to make a fast impact on your web-servers and improve your site’s performance!


Photo by Leap Design on Unsplash

Jupyter notebook is a well-known web tool for running live code. Apache Spark is a popular engine for data processing and Spark on Kubernetes is finally GA! In this tutorial, we will bring up a Jupyter notebook in Kubernetes and run a Spark application in client mode. We will also…

This is the second part of High scale web server with Kubernetes. We will go over Kubernetes Horizontal Pod Autoscale and how we are using it at Dynamic Yield.


While serving a huge amount of requests, we can easily observe that our traffic graph looks like a sine wave with…

Here at Dynamic Yield we are serving thousands of HTTP requests per second. Moving our serving services from EC2 to EKS required some tuning to ensure we could serve efficiently without losing any request. I summarized some tips and I hope it might help others with a smooth transition.



Celery is a simple and reliable distributed system to process tasks. At Dynamic Yield, we use Celery to distribute work across pods in Kubernetes.

Celery communicates via messages, usually using a broker to mediate between clients and workers. We use RabbitMQ as the broker.

In our system, we have ~30…

Elasticsearch is being used in a lot of companies as a great search-engine thanks to its speed and scale. At Dynamic Yield, we are using Elasticsearch as part of our recommendations engine and handle thousands of requests per second.


Elasticsearch cluster contains several nodes that can play one or more…

Itay Bittan

Dad | Husband | Principal Software Engineer at Dynamic Yield | Tech Geek |

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