"Observability platform company groundcover has launched a new migration tool to help organisations move their observability stacks from other vendors (such as Datadog) to its own platform. The company is claiming that organisations can migrate metrics, dashboards and monitors with full automation, and without needing any downtime nor consultants. Announced on 11 November 2025, groundcover's tool aims to address migration inertia, frequently cited as a big obstacle when companies consider moving away from legacy observability platforms."
"A separate blog post by groundcover emphasises the goals of cost savings and reduced risk. The company asserts that migrating observability stacks conventionally might take six months and involve consulting fees up to US$200,000, whereas the new tool reduces that to days and much lower cost. For organisations spending millions on observability annually, groundcover claims there is now "a real option" to reduce that substantially."
"This blog provides insight into the engineering effort behind the migration tool, in particular the efforts to make a move from Datadog seamless. The team collected over three hundred predefined metric translations to map Datadog naming conventions to Prometheus or OpenTelemetry formats used in groundcover. For example, metrics such as kubernetes.cpu.usage in Datadog are automatically mapped to container_cpu_usage_seconds_total in groundcover. Custom metrics or unique schema rules can be defined by users, after which it is claimed that the system learns and a"
groundcover launched a migration tool to move observability stacks from vendors such as Datadog to its own platform. The tool automates migration of metrics, dashboards, monitors and cloud integrations with no downtime and without external consultants. The tool addresses migration inertia by automating metric mapping, dashboard recreation, alert migration and integrations with AWS, Google Cloud and Azure, thereby reducing engineering overhead. groundcover claims conventional migrations can take six months and cost up to US$200,000 in consulting fees, while the new tool reduces migration time to days and lowers costs for organisations spending millions on observability. The engineering effort included mapping over 300 Datadog metric translations and learning custom metric schemas.
Read at InfoQ
Unable to calculate read time
Collection
[
|
...
]