Engineering

Securing a REST API with Spring Boot and Keycloak

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 in a few easy steps. This post demonstrates the minimal set of configurations required to …

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Curation Service Build Path

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 year and six months. It was delivered using a cutting edge technology stack: Java/Spring, PostgreSQL, …

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How to Configure Applications Running on Virtual Machines

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 you pass arguments to it, if it is running on a VM’s guest OS? There …

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VMware Cloud on AWS – A Bridge Between Private and Public Cloud

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 – security, scalability, flexibility, and cost-effectiveness. They allow companies to share the computing workload of …

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Spring Transactional Proxies

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 UsersService {   …   void cleanupUsers();   … } Then implement with the known @Transactional annotation: @Service …

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Data Analytics with Zero Latency and High Precision?

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 Map/Reduce; Oracle GoldenGate; VMware Continuent, … gazillion of offers. All this hype makes it easy …

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Technical Matrix

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 vast palette of tools and knows which ones to pick for the job. Get a …

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