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Dynatrace and Crest Data Partner to Accelerate Migrations from Traditional Observability Solutions

Speeds migrations to modern observability, empowering customers to scale with AI-powered automation

Dynatrace announced a strategic partnership with Crest Data to enable enterprise customers to streamline and accelerate observability migrations. 

The cost efficiency, effectiveness, and enhanced value delivered by the Dynatrace observability platform, combined with the migration solution developed by Crest Data, allows customers to simplify the transition from traditional observability solutions. Together, Dynatrace and Crest Data are delivering future-ready migrations that meet the demands of modern enterprises.

“Our collaboration with Dynatrace is focused on delivering a seamless, automated migration experience for customers moving to the Dynatrace platform,” said Malhar Shah, Co-Founder and CEO at Crest Data. “By combining our domain expertise with Dynatrace observability capabilities, we’re helping organizations modernize faster and more efficiently, with minimal disruption to their operations.”

Key benefits of migrating to Dynatrace with support from Crest Data:

  • Accelerated Migration: Purpose-built tools enable faster, easier migration of dashboards and alerts to Dynatrace.
  • Enterprise-Scale Observability: Dynatrace Grail natively supports high-volume data ingestion and querying, enabling visibility across complex, distributed environments.
  • Intelligent AI Automation: Davis AI, a core component of the Dynatrace platform, delivers real-time, automated insights that reduce manual effort and accelerate issue resolution.
  • Future-Proof Flexibility: The partnership is designed to support evolving customer needs, with plans underway to expand migration capabilities beyond dashboards and alerts.
  • Unified Observability: Dynatrace provides real-time insights across logs, metrics, traces, and events, streamlining operations and reducing complexity, all available to customers upon migration.

“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,” said Steve McMahon, Chief Customer Officer, Dynatrace. “This collaboration allows us to help customers gain actionable insights so they can streamline operations at scale. No other platform delivers full-stack observability like Dynatrace, and this partnership is a major step forward in helping customers modernize with confidence.”

“Transitioning from legacy log management solutions was a significant hurdle for our team,” said Alex Hibbitt, Engineering Director, Customer Platform at Storio group. “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.”

The Dynatrace and Crest Data migration solution is available now. Customers interested in migrating from traditional log platforms can contact Dynatrace or Crest Data for more information. Additional migration support for other platforms is in development.

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Dynatrace and Crest Data Partner to Accelerate Migrations from Traditional Observability Solutions

Speeds migrations to modern observability, empowering customers to scale with AI-powered automation

Dynatrace announced a strategic partnership with Crest Data to enable enterprise customers to streamline and accelerate observability migrations. 

The cost efficiency, effectiveness, and enhanced value delivered by the Dynatrace observability platform, combined with the migration solution developed by Crest Data, allows customers to simplify the transition from traditional observability solutions. Together, Dynatrace and Crest Data are delivering future-ready migrations that meet the demands of modern enterprises.

“Our collaboration with Dynatrace is focused on delivering a seamless, automated migration experience for customers moving to the Dynatrace platform,” said Malhar Shah, Co-Founder and CEO at Crest Data. “By combining our domain expertise with Dynatrace observability capabilities, we’re helping organizations modernize faster and more efficiently, with minimal disruption to their operations.”

Key benefits of migrating to Dynatrace with support from Crest Data:

  • Accelerated Migration: Purpose-built tools enable faster, easier migration of dashboards and alerts to Dynatrace.
  • Enterprise-Scale Observability: Dynatrace Grail natively supports high-volume data ingestion and querying, enabling visibility across complex, distributed environments.
  • Intelligent AI Automation: Davis AI, a core component of the Dynatrace platform, delivers real-time, automated insights that reduce manual effort and accelerate issue resolution.
  • Future-Proof Flexibility: The partnership is designed to support evolving customer needs, with plans underway to expand migration capabilities beyond dashboards and alerts.
  • Unified Observability: Dynatrace provides real-time insights across logs, metrics, traces, and events, streamlining operations and reducing complexity, all available to customers upon migration.

“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,” said Steve McMahon, Chief Customer Officer, Dynatrace. “This collaboration allows us to help customers gain actionable insights so they can streamline operations at scale. No other platform delivers full-stack observability like Dynatrace, and this partnership is a major step forward in helping customers modernize with confidence.”

“Transitioning from legacy log management solutions was a significant hurdle for our team,” said Alex Hibbitt, Engineering Director, Customer Platform at Storio group. “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.”

The Dynatrace and Crest Data migration solution is available now. Customers interested in migrating from traditional log platforms can contact Dynatrace or Crest Data for more information. Additional migration support for other platforms is in development.

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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