This blog was co-written by Howard Twine and Gregory Green. A few years ago, a colleague of ours wrote an informative post to help readers understand when to use RabbitMQ and when to use Apache Kafka. While the two solutions take very different approaches architecturally and can solve different problems, many people find themselves comparing them for situations where there is overlap.

Group Messages (GMs) allow for quick and/or infrequent interactions with three to seven users. In Mattermost v9.1, there are two new quality-of-life updates aimed at enhancing user experience.

In today’s increasingly data-driven business landscape, security and compliance are more important for enterprise software than ever before. In an age where high-profile data breaches and regulatory violations seem to make headlines more frequently, enterprises must prioritize the protection of sensitive information while ensuring compliance with an exceedingly complicated labyrinth of legal and industry-specific requirements.

While some smaller companies may only need to use standard access controls to shore up systems, large organizations — particularly those with strict security, confidentiality, and compliance requirements — often require advanced functionality that gives them more authority over which users can access what systems and when.

Distributed transaction tracing (DTT) is a way of following the progress of message requests as they permeate through distributed cloud environments. Tracing the transactions as they make their way through many different layers of the application stack, such as from Kafka to ActiveMQ to MQ or any similar platform, is achieved by tagging the message request with a unique identifier that allows it to be followed.

In today’s digital age, the most effective organizations are using data to fuel innovation and accelerate business strategies. Data continues to be at the heart of business growth. Organizations increasingly rely on technology to manage and store their data. Questions about ownership, control, and security have emerged — leading to the rise of a concept known as data sovereignty. In this post we’ll explore.