Distributed tracing is an observability data source designed to trace a transaction across a distributed microservices environment that tells you exactly where a problem is happening. Learn more.
Some very unique and valuable Jakarta EE and MicroProfile content was presented at EclipseCon Community Day 2022. This post summarizes and shares that content.
When working with user data, both data compliance and data privacy are important. Read more about the differences between data compliance and data privacy.
Explore a few scenarios to use @DynamicUpdate with Spring Data JPA. Different classes of databases are highlighted, including PostgreSQL and YugabyteDB.
Dive deep into components of distributed traces, why to use distributed tracing, considerations for implementing, and popular tools in the market today.
In this article, we will discuss SpeedUp and ScaleUp in DBMS, two fundamental concepts from Parallel Processing for Databases that are used for tweaking the databases.
Modular data centers are moldable and upgradable, unlike conventional data centers, which are fixed designs. Why are modular data centers more sustainable?
A business's employees are its first line of defense against cyber attacks. Here's how to build an employee security culture that stops hackers in their tracks.
In this article, I will describe how to run SSIS packages on an Azure-SSIS IR with a self-hosted integration runtime (self-hosted IR) configured as a proxy.
In this article, we will compare the differences between several managed MQTT Brokers in aspects of the broker performance and the development community.
This article mainly introduces how to connect, subscribe, unsubscribe, and send and receive messages between MQTT clients and brokers in the Django project.
