SpringML

Healthcare tech giants have posted record quarters as AI spending hits $4 billion. Physician adoption of AI technologies jumped from 38% to 66%

Healthcare Tech Giants Post Record Quarters as AI Spending Hits $4 Billion

Tame distributed transactions with Apache Seata and Spring Boot. Learn how to simplify microservices consistency without complex rollback logic.

Apache Seata Turns Distributed Transaction Nightmares into Spring Boot Dreams

This article systematically outlines the general process for setting up a local debugging environment for Apache DolphinScheduler in IDEA, including environment

Your Guide to Getting Apache DolphinScheduler Running Locally (Without Breaking Stuff)

Pull Request Testing on Kubernetes: How to Test Locally and on GitHub Workflows

Ports and Adapters architecture was created by Alistair Cockburn in 2005.

This Architecture Principle from 2005 Can Address Caveats Introduced by Object-oriented Programming

A simplified example of an application that handles sensitive data leveraging Spring and Redis.

Creating a Service for Sensitive Data with Spring and Redis

Spring Batch is a powerful module of the Spring framework that provides out-of-the-box implementation for batch processing tasks.

How to Import CSV Data Into PostgreSQL Using Spring Boot Batch

If you want to continue learning about black holes, here's a list of all the references.

All the References That We Used in Our Black Hole Study So You Can Continue to Learn

Deep learning meets cosmological data with Domain Adaptive Graph Neural Networks for robust parameter extraction.

Adaptive Graph Neural Networks for Cosmological Data Generalization: Acknowledgements and Disclosure

To quickly start learning Kuma, one of the most important things we need is cluster. 

Kuma Meshes Head-On - Everything You Need to Know

Learn how high availability and resiliency work in databases with a practical demo that you can easily run with Docker

Achieving High Availability with MariaDB MaxScale

“Wood is burned in the flames for the spirit of Au. This sacrifice to Au is a sacrifice to old departed women.”

After this long digression

This article has provided a step-by-step guide to configuring and implementing the custom type mapper.

Handling Custom Type Mapping in Kafka Listeners for Messages with "TypeId" Header

In this post, I’d like to share my understanding of Spring Cloud Gateway and how it compares to Apache APISIX.

Apache APISIX vs. Spring Cloud Gateway

And then above the flames of Manhattan Island came a battle, the first battle in the air.

The “Vaterrland” Is Disabled

Server Side Template Injection (SSTI) bugs are a less commonly known type of vulnerability in web application security. Although these bugs are rare, they can h

An Introduction to Server Side Template Injection Bugs

“They were traders—and nothing more. Just as we are. And when they were rich they got splendid clothes and feasted and rested. Much as we do.”

THE SPIRITED HONEYMOON

Gradually there was effected a separation between the spectators and the guests—a separation at least sufficiently complete for working purposes. 

The Jungle: Chapter I 

Auto-generation of documentation for Event-driven architecture

Auto-generation of Documentation for Event-driven Architecture

Plug into entrepreneurship communities around the bay area

Top 5 Entrepreneurship Communities

 In this article, I want to teach you how to connect Java Spring Boot 2 with Elasticsearch. We’ll learn how to create an API that’ll call Elasticsearch to produ

Elasticsearch in Java Spring Boot: Starter Pack

Improve logging in your microservices architecture to make tracking smoother with ELK Stack.

Aggregate Logs with Elasticsearch, Kibana, Logstash & Docker

Spring profiles are very useful concept in framework but there are some cothas to catch for mastering it.  Article about how to survive in multi profile set-up.

Step-by-Step Guide to Profiles with Spring Boot

Here at Peoplelogic, we aggregate and stitch together a lot of data from a lot of different sources on a regular basis – helping companies stay out of head of risks to their growth.  Some of this aggregation takes a long time and we needed a way to distribute the processing of all this data across our fleet.   

Hazelcast and Spring Boot for Scalable Task Execution - A How-To Guide

Our products help customer solve difficult problems - revenue forecasting, pipeline management, service case management, and customer churn

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