In this tutorial, we discussed guidelines and considerations for Spring Cloud microservices component tests and provided a recipe for common use cases.
Hundreds of available open source projects provide IoT capabilities. Explore the Eclipse IoT Packages with a look at the Telemetry end-to-end package here.
Choosing the right type of database is essential for businesses. In this post, we'll do an in-depth analysis of row vs. columnar storage for cloud-based data.
This first post of a series discussing unified observability with microservices and the Oracle database takes a look at the basics and basic use cases.
In this article, we discuss the existing standards for databases in the Java world and the new Jakarta Data, which aims to make life easier for developers.
Exploring SingleStore's support for Time Series data by using S and P 500 stock data from Kaggle. We'll build a quick dashboard to visualize candlestick charts.
Cloud-native applications need cloud-native databases. In this post, let’s try and understand what the cloud-native database is and how it relates to Kubernetes
In this post, I demonstrate how to build a distributed payment network system with enchanted audit functionality by means of Spring Boot, Spring Cloud, Axon, Neo4j.
Here, learn how enterprises can not only gain confidence in Public Cloud environments for their critical workloads but also reduce the burden of IT compliance.
In this article, we will explore how to connect the PostgreSQL database from the Mule application. We will also see how to call the PostgreSQL function.
Discover the key differences between Google BigQuery and Snowflake around architecture, pricing, security, compliance, data protection, performance, and more.
In this post, I'll review CQRS, event sourcing, graph database concepts necessary to build a distributed robust payment network system with enchanted audit functionality.
I think of web3 and decentralization on a spectrum - it’s not just one or the other, but you can take incremental steps on the path towards your end goal.
DevOps is where the rubber meets the road. See how Kong provides an ideal toolset to make DevOps and software engineers successful via APIOps adoption.
Today, we're exploring data and data processing issues and interests. SQL, NoSQL, flexible schema, scale-up, scale-out, transactions, and high availability.
Read here to learn how AI can be used in healthcare software, its current stand on the market, and related technologies you might want to look into further.