Monitor everything you run in your cloud without compromising on cost, granularity, or scale.

groundcover is a full stack cloud-native APM platform designed to make observability effortless so that you can focus on building world-class products.

By leveraging our proprietary eBPF sensor, groundcover unlocks unprecedented granularity on all your applications, eliminating the need for costly code changes and development cycles to ensure monitoring continuity. Our unique sensor collects data directly from the Linux kernel with near-zero impact on CPU and memory.

The groundcover platform consolidates all your traces, metrics, and logs into a single platform, allowing you to conduct full scale investigations to pinpoint the source of the issue and reach lightning fast MTTR.

groundcover offers unparalleled granular visibility into your environments and dramatically reduces your overall troubleshooting-related losses and observability costs so that you can continue to scale seamlessly while ensuring top line experience to your end users.

Proprietary eBPF sensor

eBPF (extended Berkeley Packet Filter) is a groundbreaking technology that has significantly impacted the Linux kernel, offering a new way to safely and efficiently extend its capabilities.

The groundcover platform leverages the most advanced technologies to create a modern observability platform that cloud-native environments deserve. It collects data all across your stack using the superpower of eBPF instrumentation, monitoring any environment in real time and enabling full visibility into all your logs, metrics and traces, all with zero code changes and development cycles.

By leveraging eBPF, groundcover enables:

  1. 100% Coverage, all the time: eBPF allows direct access to the Linux kernel, enabling the collection of data straight from the source. This guarantees that the data is clean, unaltered, and precise.

  2. Zero code changes, zero dev cycles: By running eBPF programs at specific hook points in the kernel, groundcover gathers intimate observability data without the need for integrating an SDK or changing the application code in any way. This provides immediate and language-agnostic visibility into application performance, allowing for detailed insights into what's happening within the system.

  3. Minimal resource impact, maximum performance: groundcover’s sensor operates separately from the main application it is monitoring, without interfering with the application's primary functions. This facilitates a monitoring process with near-zero impact on the resources of the microservices it monitors, preserving the application's performance and avoiding unexpected overhead on the infrastructure.

  4. Safety first, by design: groundcover’s unique sensor is not only fast but also safe and secure, backed by the open source community of eBPF. groundcover's eBPF sensor is verified by the eBPF engine and it is passive, so it can never do anything but observe.

InCloud observability backend

groundcover's architecture was built to fit the specific needs of modern, cloud-native environments. Leveraging integrations with best-of-breed technologies such as ClickHouse and Victoria Metrics, it enables storing all your observability data locally, separating our control plane from your in-cloud data plane. De-facto, your data never leaves your cluster.

This ensures that your observability data adheres to your organization’s security and privacy standards, and helps you comply with each on of our customers’ local data privacy laws and recommendations.

Most observability vendors charge steep amounts for storing your observability data for you, which usually also comes with a hidden promise that your costs to that vendor will continually go up as you grow; groundcover InCloud's unique architecture breaks the customary volume-based pricing model, 
allowing teams to scale away, at a fraction of the cost with ongoing transparency rather than unpleasant surprises.

The inCloud approach also promises groundcover users complete control over upgrades and lifecycle management.

Read about our Managed inCloud offering (currently available only on a paid plan), which enables you to install groundcover's control plane inside your own cloud, for the ultimate level of control and privacy.

Stream data processing

Stream processing is the ability to collect and control the continuous flow of data within a system to gain immediate insights, detect anomalies, and respond to changing conditions. Unlike batch processing, where data is collected over a period and then analyzed, stream processing analyzes the data as it flows through the system.

groundcover uses this approach by leveraging a distributed stream processing engine that enables the platform to ingest huge amounts of data (such as logs, traces and Kubernetes events) in real time. It also processes all that data and instantly generates complex insights (such as metrics and context) based on it.

As a result, the volume of raw data stored dramatically decreases which, in turn, further reduces the overall cost of observability.

Coupled with the ability to build custom alerts and dashboards within groundcover, it ensures that your teams are alerted immediately as events are happening in their environments.


Stream, store and query your logs at any scale, for a fixed cost.

Get complete visibility into your cloud infrastructure performance at any scale, easily access all your metrics in one place and optimize infrastructure efficiency.

Gain end-to-end observability into your applications performance, identify and resolve issues instantly - all with zero code changes.

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