Dynatrace & Crest Data partner to speed AI observability migration

Dynatrace has entered into a strategic partnership with Crest Data to help enterprise customers accelerate the migration from traditional log management tools to modern observability solutions.

The collaboration is aimed at simplifying and expediting the transition to Dynatrace's observability platform, leveraging Crest Data's migration solutions. The combined offering is designed to enable customers to access the capabilities of AI-powered automation and enterprise-scale observability as they move away from legacy systems.

Crest Data brings its domain expertise in developing and operationalising products and ecosystems to the partnership, which complements Dynatrace's focus on intelligent observability. The migration tools developed by Crest Data are purpose-built to migrate dashboards and alerts more quickly and easily to the Dynatrace platform.

Malhar Shah, Co-Founder and Chief Executive Officer at Crest Data, commented on the partnership:

Our collaboration with Dynatrace is focused on delivering a seamless, automated migration experience for customers moving to the Dynatrace platform. By combining our domain expertise with Dynatrace observability capabilities, we're helping organiations modernise faster and more efficiently, with minimal disruption to their operations.

Dynatrace has highlighted several key benefits for customers undertaking migration with the support of Crest Data. These include accelerated migration processes, enterprise-scale observability through Dynatrace Grail, and intelligent AI automation using the Davis AI component of the Dynatrace platform. The solution is intended to provide real-time, unified insights across logs, metrics, traces, and events, simplifying IT operations and reducing associated complexity.

In addition, the partnership has been structured to continue supporting evolving customer requirements, with plans to expand migration capabilities beyond current dashboard and alert migration, and to offer additional platform support in the future.

Steve McMahon, Chief Customer Officer at Dynatrace, outlined the significance of the partnership as organisations increasingly look to modern solutions:

As enterprises accelerate their shift away from traditional log management tools, they need a migration path that's fast, scalable, and ready for the future. This collaboration allows us to help customers gain actionable insights so they can streamline operations at a scale. No other platform delivers full-stack observability like Dynatrace, and this partnership is a major step forward in helping customers modernise with confidence.

The migration solution is currently available, enabling enterprises to transfer their observability systems from traditional log platforms to Dynatrace's AI-powered services. Crest Data and Dynatrace advise that customers seeking to undertake such a migration can approach either company for further details, and confirm that expansion of migration support to other platforms is under development.

Customers who have made the transition to Dynatrace report a positive impact on their operations. Alex Hibbitt, Engineering Director, Customer Platform at Storio group, shared his perspective:

Transitioning from legacy log management solutions was a significant hurdle for our team. Dynatrace provided a streamlined, scalable approach that simplified our operations. With Grail and Davis AI, we've unlocked real-time insights and reduced complexity across our environment. This shift has been transformative for our observability strategy.

Dynatrace asserts that the platform delivers full-stack observability, giving customers visibility across complex and distributed IT environments. The company states this partnership is aligned with the needs of enterprises that require solutions ready to accommodate future growth and shifting operational demands.

The partnership with Crest Data is intended to further reduce barriers for those looking to adopt AI-driven observability technologies, with a focus on cost efficiency, reducing manual effort through automation, and supporting the technical needs of large-scale digital businesses.