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“Kloudfuse unified observability datalake consolidated all our internal solutions which were different open source offerings and for each stream of observability and significantly increased the productivity of our engineers.”
"Kloudfuse unified our observability data into a single lake, increasing developer productivity, reducing MTTR, and cutting operational costs, while its VPC kept our data secure from external clouds."
"By transitioning to Kloudfuse, we consolidated disparate tools into a single, integrated platform, reducing debugging toil on our developers. The open standards and seamless migration from our Grafana stack ensured minimal disruption and rapid onboarding."
“Kloudfuse unified observability datalake unified all the data from various sources and significantly reduced the cost of observability for our increased cardinality of our MELT data when we moved to kubernetes deployments.”
“After transitioning to Kloudfuse, the team shifted from using multiple tools—such as New Relic, DataDog, and Azure Insights—to a unified observability platform.”
“The Kloudfuse unified observability data lake, deployed with GE Healthcare VPC, ensures that all metrics, events, logs, and traces (MELT) data are completely secure and compliant, while significantly reducing the overall solution cost for increased data volume.”
“Kloudfuse unified observability datalake solved our ever growing problem of logs volume, metrics cardinality and large volume of data for APM at a cost which is significantly lesser.”
