Performance optimization

While cloud adoption remains the default for many businesses, some workloads perform better on-premise. In this case study, we explore how a tech company strategically transitioned back from the cloud, overcoming migration complexities to regain control, reduce latency,...

Spring Framework has a lot of advantages when it is used for building Enterprise applications, but it may also have some disadvantages. For example, it can appear somewhat complicated, and it also consumes a lot of CPU resources. In this article we compare Spring with Mic...

In this article, we will consider the usage of the agglomerative approach to hierarchical clustering – a method of cluster analysis that seeks to build a hierarchy of clusters.

Let us show how can a poor R performance be improved using rJava package. rJava provides a low-level bridge between R and Java (via JNI), and allows you to create objects, call methods and access fields of Java objects from R.

The top priority for the high-load systems is to provide continuous access to the information. For one of our projects, we used DynamoDB‎ to ensure the maximum stress resistance and minimum delays, and reduce the user’s waiting time.

It is a big honor for us to work with Thomson Reuters, the world’s leading source of intelligent information for businesses and professionals. It is always so nice to hear the words of gratitude for the work done.

You are welcome to see our results of using CUDA data compession algorythm (a noticeable 2x to 4x speedup is among them)!

We tackle not only complex problems but also complex software. We will assist you in speed, robustness and maintenance optimization. We will help you redesign bulky software systems with contorted and sloppy architecture to a punctilious and effective systems.

And we are having a good time implementing a.NET compression library for bzip2. No sci-fi, but the speed increased by a factor of 4. Not so bad yet.