DataStork Technology Blog
React is one of the best and most used libraries to build user interface. It does the job, has sufficient documentation and good dev community. But when using only pure React, there are some problems with properly sharing/deploying an app.
On the 14th of September our very own CTO Ivan Dachev, together with Petar Lalov, Department Manager for our partner Bosch Software Innovations, visited the IoT Bulgaria Summit to present an atypical IoT solution on the bleeding edge of Azure.
Using role based access for secure endpoints and allowing anonymous access for public ones Securing an application with Keycloak is relatively easy. Having both secured and public endpoints is not so straightforward. Here you will see how to achieve that
Curation Project Summary A leading financial publisher needed a way to measure the performance of an AI-driven semantic document classification and information extraction pipeline from large-volume news feed. The service was developed using agile methodology over a period of one
Using docker containers is now a standard for deploying and managing applications. With them, transfering a particular configuration or startup parameters to an application is practically trivial. But what if your app is running on a Virtual Machine? How do
What are Hybrid Clouds? In an IT world realigning around the Cloud, hybrid infrastructures or “Hybrid Clouds” are a way for companies to tap into the potential of both private and public infrastructures and get the best of both worlds
Here we will discuss the Spring wonderland of proxies and database transactions. Often we need to create Spring services that work with database transactions. First we define an interface, for example let’s take a simple UsersService like this: public interface
Everyone is “doing analytics” these days Data Analytics is an IT buzzword. Hundreds of paradigms and solutions: change-data-capture, ETL, ELT, ingestion, staging, OLAP, data streaming, map/reduce, stream processing, data mining,… Amazon Redshift and Lambda; Apache Kafka, Storm, Spark and Hadoop
Experienced engineers are those that do not head-jump on the solution with hipster next-great-thing technology approach, rather carefully evaluate the unique customer needs and apply the right technology combination for optimal results. Like an experienced craftsman, each DataStork engineer masters
Rapid development in complex domain? DataStork applied combination of AI experience and state-of-art goal-oriented software development process to successfully deliver comprehensive application in just 2.5 months for leader in the Text Mining and Knowledge Extraction AI domains: DataStork-AI-Case-Study
In Cloud proportions proven software patterns become bottlenecks, suboptimal decisions become disasters. The data layer is critical in distributed Cloud systems. See how DataStork utilized its experience in game-changing enterprise projects to engineer large scale social network architecture for world-wide
For Logistic companies to reduce delivery times and expenses is a way to survive. Enterprise Logistics may require massive computing power and still discover the trends after days of data crunching. Learn how DataStork helped a leading Logistics-Optimization company to