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Groundcover now supports Amazon EKS and is available on AWS marketplace

Groundcover now supports Amazon EKS and is available on AWS marketplace

Cloud-native application monitoring solution provider Groundcover has introduced an observability platform for Amazon EKS. The company says the technology enables organizations to install Groundcover on their managed Kubernetes clusters as an AWS-verified add-on.

Groundcover says its Amazon EKS add-on streamlines security and stability for Amazon EKS clusters, reducing manual installation, configuration and update work. Further, the eBPF sensor lets organizations transform cloud-native environment monitoring, the company notes.

According to the company, it also simplifies observability by collecting all data using eBPF, eliminating the need for code changes, manual labor and multiple external agents. The approach aims to enhance coverage and depth while minimizing performance impact and eliminating unexpected effects on time-critical application code.

Shahar Azulay, CEO and co-founder of Groundcover says that his company “breaks the visibility-cost tradeoff, ensuring teams don’t have to compromise on visibility depth to manage budgets responsibly.”

In addition, Groundcover is now available on AWS Marketplace. The company says this makes it easy for AWS users to find, test, buy and deploy software that runs on AWS.

This January, Groundcover also released Caretta, an open-source software (OSS) cluster map. Caretta enables businesses to visualize the network map of services within their cluster using eBPF technology. The network data is presented on the Grafana Node Graph dashboard.

Groundcover developed the Caretta cloud-environment observability tool to help enterprises gain a deeper understanding of workload interdependencies in their clusters. By collecting detailed network data using Kubernetes APIs, Caretta says it enables on-demand observation and provides valuable security insights.

Udi Rot, software engineer at Groundcover, says: “Mapping the inter-dependencies between the different services running in the cluster is a complicated but critical task. Unlocking this rare type of information can help developers, DevOps and SRE teams get a much clearer view into their production K8s clusters.”

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