Modulis vs groundcover: BYOC Managed Production Resolution — Full 2026 Comparison

Two genuinely BYOC platforms — how Modulis's full production resolution platform compares to groundcover's eBPF-based Kubernetes observability.

Modulis vs groundcover
Feature Modulis groundcover
General
Unified Platform (All-in-One)
Supports DevOps + Product + Business Teams
Fully Managed Platform
Multiple Tools Required
Unlimited Team Members
Deployment & Architecture
BYOC (Customer's Own Cloud)
Cloud-like Experience
Vendor Lock-In
Observability (Logs, Metrics & Traces)
Log Management
Metrics Monitoring
Distributed Tracing / APM
Session Replay & Debugging
Session Replay
Frontend + Backend Correlation
End-to-End Debugging Workflow
Product & Web Analytics
Product Analytics
Web Analytics
Event Tracking
Dashboards & Visualization
Custom Dashboards
Pre-Built Dashboards
Cross-Team Dashboards
Real-Time Analytics
Data & Ownership
Customer Owns 100% of Data
Data Stored in Customer Infrastructure
Built-in Data Warehousing
AI & LLM Analytics
Native LLM Analytics
Prompt / Response Tracking
AI Agents
AI-Ready Architecture
Pricing & Cost Control
Tier-Based Pricing
No Usage Overage Fees
Transparent Billing
Compliance & Security
Minimal Compliance Overhead
Full Data Residency Control
Enterprise-Ready Architecture

Quick answer

groundcover is one of the few genuinely BYOC observability platforms in the market — its eBPF sensor and data plane (ClickHouse, VictoriaMetrics, collectors) run inside your own Kubernetes cluster, with only the UI layer hosted externally, so telemetry never leaves your environment even on the free tier. That’s a real architectural similarity to Modulis. The difference is scope and management: groundcover is a Kubernetes observability product — logs, metrics, traces, and events via eBPF, with no code changes — while Modulis is a broader, fully managed production resolution platform that also includes session replay, product and web analytics, data warehousing, and AI-assisted root cause analysis with PR-ready fixes, across Kubernetes and non-Kubernetes workloads alike.

Who each is for

groundcover fits platform and SRE teams on Kubernetes who want low-overhead, code-change-free telemetry collection with a fixed, node-based cost that doesn’t move with data volume. Modulis fits engineering and platform teams who want that same BYOC data-ownership guarantee but also need product analytics, session replay, and AI-assisted incident resolution — not just raw telemetry — in one platform that’s fully managed on their behalf.

Architecture and data ownership

Both platforms keep telemetry inside the customer’s own cloud by design, not as an add-on. groundcover’s data plane runs in your VPC as a DaemonSet, with the SaaS layer storing only account, access, and governance metadata. Modulis is deployed and fully managed inside your cloud account by the Modulis team, correlating a wider set of signals — logs, traces, metrics, errors, session replay, and Git metadata — on that same BYOC foundation.

AI capabilities

groundcover’s public materials focus on raw telemetry collection and an “AI agent telemetry” angle — observability for systems that run AI agents — rather than an AI-driven investigation or root-cause agent of its own. Modulis includes AI-assisted root cause analysis and PR-ready fix suggestions as a core part of the platform, running on your own model key (BYOK) inside your cloud boundary.

Pricing approach

groundcover prices by the number of Kubernetes nodes monitored, with a free tier and paid tiers scaling by node count rather than data volume — a fixed-cost model that shares Modulis’s goal of predictable billing. Modulis prices by application and infrastructure footprint with flat monthly tiers starting at $0, and includes product analytics, session replay, and AI-assisted resolution in that same price — capabilities groundcover doesn’t offer natively.

When to choose Modulis

Choose Modulis if you want groundcover-style BYOC data ownership plus product analytics, session replay, data warehousing, and AI-assisted root cause resolution — in a single, fully managed platform, whether or not your workloads run on Kubernetes.

When groundcover may be a better fit

If you specifically need best-in-class, low-overhead Kubernetes telemetry via eBPF and nothing beyond infrastructure and application observability, groundcover’s narrower, Kubernetes-native focus is a strong, credible option.

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