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groundcover Releases Observability Migration Tool

groundcover announced the launch of its Observability Migration Tool, a fully automated, self-service migration solution that enables organizations to unleash themselves from legacy vendors such as Datadog to groundcover in days instead of months.

groundcover’s Observability Migration Tool turns migration itself into a product, not a project. With full automation and zero engineering overhead, observability teams can migrate confidently, quickly and completely.

With this release, organizations can now migrate from Datadog to groundcover in a matter of minutes. In the coming months, the same platform will extend support for Grafana, New Relic, and other observability vendors, bringing full interoperability to the monitoring ecosystem.

“For too long, observability teams have been trapped by the fear of breaking dashboards or losing critical data during a migration,” said Shahar Azulay, CEO and Co-founder of groundcover. “We built the Observability Migration Tool to end vendor lock-in once and for all, with a fully automated, self-service solution that preserves every metric, dashboard and monitor with uncompromising accuracy and reliability.”

groundcover’s Observability Migration Tool automates every step of the migration journey, including:

  • Automatic metric and label mapping using groundcover’s prebuilt templates.
  • Dashboard recreation and visual comparison tools to ensure perfect fidelity.
  • Self-service integration setup across AWS, GCP and Azure, eliminating manual engineering dependencies.
  • Smart recommendations for unsupported elements, giving users transparency and control throughout the process.

“Developers shouldn’t need professional services just to change where their data lives,” said Orr Benjamin, Vice President of Product at groundcover. “With this tool, anyone can move their entire observability stack in a few clicks, keeping every chart, alert and integration intact. It’s migration made for builders, not consultants.”

The Automated Migration Tool is in private preview. General availability is planned for early December.

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groundcover Releases Observability Migration Tool

groundcover announced the launch of its Observability Migration Tool, a fully automated, self-service migration solution that enables organizations to unleash themselves from legacy vendors such as Datadog to groundcover in days instead of months.

groundcover’s Observability Migration Tool turns migration itself into a product, not a project. With full automation and zero engineering overhead, observability teams can migrate confidently, quickly and completely.

With this release, organizations can now migrate from Datadog to groundcover in a matter of minutes. In the coming months, the same platform will extend support for Grafana, New Relic, and other observability vendors, bringing full interoperability to the monitoring ecosystem.

“For too long, observability teams have been trapped by the fear of breaking dashboards or losing critical data during a migration,” said Shahar Azulay, CEO and Co-founder of groundcover. “We built the Observability Migration Tool to end vendor lock-in once and for all, with a fully automated, self-service solution that preserves every metric, dashboard and monitor with uncompromising accuracy and reliability.”

groundcover’s Observability Migration Tool automates every step of the migration journey, including:

  • Automatic metric and label mapping using groundcover’s prebuilt templates.
  • Dashboard recreation and visual comparison tools to ensure perfect fidelity.
  • Self-service integration setup across AWS, GCP and Azure, eliminating manual engineering dependencies.
  • Smart recommendations for unsupported elements, giving users transparency and control throughout the process.

“Developers shouldn’t need professional services just to change where their data lives,” said Orr Benjamin, Vice President of Product at groundcover. “With this tool, anyone can move their entire observability stack in a few clicks, keeping every chart, alert and integration intact. It’s migration made for builders, not consultants.”

The Automated Migration Tool is in private preview. General availability is planned for early December.

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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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...