Blog

As the volumes and origins of must-have data continue to widen, centralized and matured Kafka ecosystems are increasingly attractive for enterprise organizations. Yet securely connecting users from across your organization is a hefty task, as is evolving your Kafka setup to address their varied priorities. Our latest article tracks the typical enterprise journey from dispersed to pervasive Kafka, complete with strategies for addressing these cross-user platform requirements and ensuring controlled, risk-free evolution throughout.

Spring has just come around the corner. Not only does it bring pleasant temperatures, green leaves and flowers, but also a new and shiny release of Axual Platform: release 2022.1.

Holland Capital is investing with a private co-investor in software company Axual, which provides customers with a platform that makes real-time data streaming easier and faster. With this funding, Axual aims to realize its growth ambitions.

So, your organization successfully introduced small-scale event streaming processing with Kafka. Now, teams company-wide are knocking down your Kafka architects’ door with ideas for new use cases. But going too fast, too soon is dangerous. Losing track of scale, ownership, and access can rapidly put your customer data and mission-critical applications at risk. So what’s the key to secure Kafka scale-up? Having the right tools in place to track, manage, and safeguard your Kafka expansion.

Kafka is the leading solution for real-time data streaming. However, it doesn’t come with a built-in safety net covering data governance and compliance. No matter the expertise level of your internal Kafka team, that’s a tough path to travel — with serious consequences if your organizational protocols aren’t watertight. Our blog on the topic looks at common pitfalls to avoid and steps to take to ensure you won’t lose sleep over Kafka and compliance.

Even for seasoned experts, Kafka is complicated to learn and use. When it comes to data governance, the stakes are too high to go wrong. In this blog, we outline common data governance mistakes organizations using Kafka can make, what to do if you’re already experiencing compliance issues with Kafka, and how to avoid problems.