Operations | Monitoring | ITSM | DevOps | Cloud

As a Senior Product Manager at Mezmo, I understand the challenges businesses face in managing data complexity and the higher costs that come with it. The explosion of data in the digital age has made it difficult for IT operations teams to control this data and deliver it across teams to serve a range of use cases, from troubleshooting issues in development to responding quickly to security threats and beyond.

On their own, enterprise applications and systems are not always straightforward. Writ large, they are complex, integrated environments, full of multiple data formats and structures. You spend a great deal of effort and time to define and maintain diverse data models among these integrated components. A Canonical Data Model helps reduce that burden significantly — by promoting a standard and consistent data model between connecting components. This article describes a few things to get you started.

Microservices testing is an essential part of any DevOps strategy. In a fast-paced environment like DevOps, you need real-time data on the deployment status and ensure your microservices integrations work correctly. The best way to achieve this is with frequent microservices testing.