“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 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."
"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."
"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.”
“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.”
“Kloudfuse unified observability datalake was deployed with GEHC VPC so that all MELT data was completely secure, compliant and significantly reduced the cost of the overall solution for increased volume of data.”
“Kloudfuse unified observability datalake was deployed with GEHC VPC so that all MELT data was completely secure, compliant and significantly reduced the cost of the overall solution for increased volume of data.”
“We’ve conservatively saved 80-90% of our observability costs and engineering time spent compared to our previous observability solution.”
“We’ve conservatively saved 80-90% of our observability costs and engineering time spent compared to our previous observability solution.”
“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.”
“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.”
Kloudfuse is an AI-powered unified observability platform that scales cost-effectively.
All Rights Reserved ® Kloudfuse 2024
Terms and Conditions
Kloudfuse is an AI-powered unified observability platform that scales cost-effectively.
All Rights Reserved ® Kloudfuse 2024
Terms and Conditions
Kloudfuse is an AI-powered unified observability platform that scales cost-effectively.
All Rights Reserved ® Kloudfuse 2024
Terms and Conditions
Kloudfuse 3.0 is here—10 Capabilities, Limitless Possibilities.
Learn More!
Kloudfuse 3.0 is here—10 Capabilities, Limitless Possibilities.
Learn More!
Kloudfuse 3.0 is here—10 Capabilities, Limitless Possibilities.
Learn More!