Head of DevOps at a tech vendor with 11-50 employees
Real User
Top 5
Sep 23, 2026
Groundcover Observability Platform serves as my primary observability system, and day-to-day, I am viewing the logs, metrics, and the performance of my application that is deployed in Kubernetes. I use it to get incidents of hosts that are down and are not responding, so I receive alerts immediately. That is my most significant use case. I also have other use cases in using Grafana dashboards and other inspection tools for alternative views, but they are not on a daily basis. Regarding how Groundcover Observability Platform fits into my workflow, I find the view of workloads in my application and the ability to view logs, metrics, performance, and traces on the same page for one application extremely useful. Even with all the AI agents, having a single visibility tool without any questions or waiting for queries is beneficial. It is great to have one tool that consolidates everything in one place, and it looks very nice and is easy to search logs and find patterns.
My main use case for Groundcover Observability Platform is monitoring Kubernetes clusters and pods, as well as logs from our production product. I use Groundcover Observability Platform with my Kubernetes clusters primarily when we encounter bugs in our microservices, and we monitor the logs in Groundcover for this purpose. We also use dashboards to check the performance of the pods. Groundcover Observability Platform is deployed in my organization within our cluster, and all our microservices are connected to Groundcover so we can view the logs there. Currently, we are using the new Agent Mode, which has helped us create custom dashboards for our product.
Backend Engineer at a insurance company with 201-500 employees
Real User
Top 20
May 28, 2025
My main use cases for Groundcover Observability Platform ( /products/groundcover-observability-platform-reviews ) are as a monitoring tool for debugging and monitoring. I use it to review logs, check traces of API calls, and monitor servers. We use Kubernetes ( /products/kubernetes-reviews ), so the monitoring includes ports and the cluster itself, CPU, memory, and all related metrics.
Learn what your peers think about Groundcover Observability Platform. Get advice and tips from experienced pros sharing their opinions. Updated: October 2026.
Groundcover Observability Platform empowers teams by providing crucial insights into application performance, ensuring system reliability and aiding proactive decision-making. Groundcover Observability Platform offers comprehensive observability by harnessing cutting-edge technology. It transforms how teams manage systems by effectively monitoring, identifying issues, and simplifying troubleshooting processes. With a focus on scalability, it enables seamless integrations while ensuring...
Groundcover Observability Platform serves as my primary observability system, and day-to-day, I am viewing the logs, metrics, and the performance of my application that is deployed in Kubernetes. I use it to get incidents of hosts that are down and are not responding, so I receive alerts immediately. That is my most significant use case. I also have other use cases in using Grafana dashboards and other inspection tools for alternative views, but they are not on a daily basis. Regarding how Groundcover Observability Platform fits into my workflow, I find the view of workloads in my application and the ability to view logs, metrics, performance, and traces on the same page for one application extremely useful. Even with all the AI agents, having a single visibility tool without any questions or waiting for queries is beneficial. It is great to have one tool that consolidates everything in one place, and it looks very nice and is easy to search logs and find patterns.
My main use case for Groundcover Observability Platform is for application logs, insights, workload observability, and visibility.
My main use case for Groundcover Observability Platform is monitoring Kubernetes clusters and pods, as well as logs from our production product. I use Groundcover Observability Platform with my Kubernetes clusters primarily when we encounter bugs in our microservices, and we monitor the logs in Groundcover for this purpose. We also use dashboards to check the performance of the pods. Groundcover Observability Platform is deployed in my organization within our cluster, and all our microservices are connected to Groundcover so we can view the logs there. Currently, we are using the new Agent Mode, which has helped us create custom dashboards for our product.
My main use cases for Groundcover Observability Platform ( /products/groundcover-observability-platform-reviews ) are as a monitoring tool for debugging and monitoring. I use it to review logs, check traces of API calls, and monitor servers. We use Kubernetes ( /products/kubernetes-reviews ), so the monitoring includes ports and the cluster itself, CPU, memory, and all related metrics.