Groundcover

Description

Groundcover is a comprehensive observability platform tailored for engineers and agents, enabling them to monitor everything in their cloud or on-prem environments without compromising on data, control, or cost. The platform is deployed within your own Virtual Private Cloud (VPC) through its unique Bring Your Own Cloud (BYOC) architecture, ensuring that all signals remain private and secure. Groundcover's adaptive eBPF sensor collects and processes telemetry at the edge, requiring no code changes and offering full-fidelity telemetry with zero instrumentation.

The platform supports a wide range of observability tasks, from infrastructure monitoring to application performance and AI workflows. It provides native support for OpenTelemetry and open standards, allowing seamless integration with existing tools. Groundcover's Agent Mode acts as an engineer working alongside your team, capable of pulling signals, running queries, and building workflows based on your team's conventions.

Groundcover's pricing model is based on the monthly average of Kubernetes nodes monitored, offering predictable and transparent costs. The platform is available in Free, Team, and Enterprise plans, with features such as SSO support, unlimited data retention, and premium support available in higher tiers. The BYOC architecture allows for all observability data to remain within your environments, enhancing security and control.

The platform is designed for modern teams, from startups to Fortune 5 enterprises, providing a consistent workflow that scales across various tasks, including issue investigation, AI workload observation, and user session monitoring. Groundcover's integrations include popular tools like Kubernetes, OpenTelemetry, Prometheus, and cloud providers like AWS, Google Cloud, and Microsoft Azure, among others.

Overall, Groundcover offers a robust solution for teams seeking to enhance their observability capabilities while maintaining control over their data and costs.

Groundcover's Core Features

• Full-stack observability

• BYOC architecture

• eBPF sensor telemetry

• OpenTelemetry support

• Agent Mode for automation

• Node-based pricing model

• Integration with cloud providers

• Real-time data processing

• Zero instrumentation required

• Predictable cost structure

• Enhanced security and control

• Comprehensive monitoring capabilities

• Support for AI workflows

• Seamless tool integration

• Customizable dashboards

How to use Groundcover?

1. 1

   Configure: Set up in your VPC

2. 2

   Use: Monitor cloud and on-prem environments

3. 3

   Optimize: Leverage Agent Mode for automation

4. 4

   Integrate: Connect with existing tools

Groundcover's Use Cases

• Cloud Monitoring
• AI Workflow Observation
• User Session Monitoring
• Infrastructure Monitoring
• Cost Management

FAQ from Groundcover

• What is Groundcover's pricing model?

  Groundcover uses a node-based pricing model, offering predictable costs based on the monthly average of monitored Kubernetes nodes.

• How does Groundcover ensure data security?

  Groundcover's BYOC architecture keeps all observability data within your own VPC, ensuring privacy and security.

• What integrations does Groundcover support?

  Groundcover integrates with Kubernetes, OpenTelemetry, Prometheus, AWS, Google Cloud, Microsoft Azure, and more.

• Does Groundcover require code changes for telemetry?

  No, Groundcover's eBPF sensor collects telemetry without any code changes.

• What is Agent Mode in Groundcover?

  Agent Mode acts as an engineer, automating tasks like pulling signals, running queries, and building workflows.

• Can Groundcover handle AI workloads?

  Yes, Groundcover supports observing AI workloads and provides insights into AI workflows.

• What are the deployment options for Groundcover?

  Groundcover can be deployed in your cloud (BYOC) or fully on-prem, depending on your needs.

• What support options are available with Groundcover?

  Groundcover offers standard and premium support, with additional features like SSO and unlimited data retention in higher plans.