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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.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...