As 2022 begins, it is the perfect time to evaluate the tech trends currently shaping the future of pen testing, and how it will continue to do so going forward.
In this tutorial, we discussed guidelines and considerations for Spring Cloud microservices component tests and provided a recipe for common use cases.
This article provides tested and implemented best practices for managing Python SDKs in the GCP Artifact Registry, which allows for code reuse and security.
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.
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
Starlight for JMS is an Apache Pulsar client for Fast JMS Messaging. This post discusses how Starlight can send 1 million messages per second and shows you how to get the same results.
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.
Learn how to secure a previously insecure cluster in production and how to mitigate any pitfalls that come with running an insecure cluster in production.
Today, I'm going to try to simplify our architecture or at least management of Kerberos artifacts as they relate to CockroachDB by introducing a load balancer.
A principle is a universal truth that is applicable everywhere. A practice is a specific implementation of a principle and can vary based on the situation. Understanding why we do the things we do is the key to avoiding cargo cult programming.
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.
There are many services and tools to help manage microservices. This post looks at some options to highlight the similarities, differences, and when or why to use one.
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.