Groundcover Launches BYOC AI Mode to Keep Observability Data in Customer Clouds

Why It Matters

By retaining observability data within the customer’s cloud, groundcover enhances data privacy and reduces latency for incident analysis, giving enterprises a competitive edge in rapid troubleshooting.

Key Takeaways

• AI Mode runs on Amazon Bedrock within customer AWS
• Observability data stays on‑premises, no external transfer
• eBPF telemetry enriches logs and traces automatically
• Customers billed directly for Bedrock token usage
• Free self‑serve trial available immediately

Pulse Analysis

The rise of AI‑driven observability tools reflects a broader shift toward faster, more autonomous incident response. Traditional monitoring stacks often require data to be shipped to third‑party SaaS platforms, introducing latency and potential compliance concerns. groundcover’s BYOC (Bring Your Own Cloud) AI Mode tackles these challenges by embedding large‑language‑model capabilities directly within a customer’s AWS account, ensuring that sensitive telemetry never leaves the trusted environment while still benefiting from sophisticated pattern recognition.

Technically, the solution leverages Amazon Bedrock, Amazon’s managed foundation‑model service, and couples it with eBPF‑based telemetry collection. eBPF allows kernel‑level visibility into system calls, network packets, and resource usage without altering application code, providing rich, real‑time signals. By enriching this data at ingest, AI Mode can generate context‑aware insights, such as correlating a spike in latency with a specific microservice deployment. Pricing follows Bedrock’s token model, giving teams granular control over usage caps per user or team, which aligns costs with actual AI consumption rather than flat subscriptions.

From a market perspective, groundcover’s approach positions it against incumbents like Datadog and Splunk that rely on centralized SaaS pipelines. The BYOC model appeals to regulated industries—finance, healthcare, and government—where data residency rules are strict. As more enterprises adopt hybrid and multi‑cloud strategies, the ability to run AI locally while maintaining a unified observability view could become a differentiator, potentially accelerating adoption of AI‑enhanced monitoring across the cloud‑native ecosystem.