Coroot

Coroot is a self-hosted, open-source observability platform that combines eBPF collection with tracing, profiling, service maps and infrastructure analysis. It is best suited to teams running mixed Kubernetes, container and virtual-machine environments that want telemetry to remain in their own infrastructure. The principal compromises are its Linux kernel requirement and Standard plan’s per-core pricing.

Overview

Founded in 2021, Coroot brings metrics, logs, traces, profiles, runtime events and container logs into one operational view without requiring application code changes. The Community Edition is Apache 2.0 licensed, with transparent source code and deployment on premises or in a customer cloud. Self-hosting is valuable for organizations with data-residency or control requirements, but it also makes deployment and maintenance part of the customer’s responsibility.

Coroot is broader than a single-purpose profiler or dashboard. It connects application behavior with dependencies, cloud spending and infrastructure risks, giving platform teams a way to investigate both performance and configuration problems in the same system.

Key features

Service maps and tracing

Automatic service and dependency mapping, advertised with 100% coverage, removes much of the manual work involved in documenting distributed systems. Distributed tracing combines eBPF auto-instrumentation with OpenTelemetry SDK traces, allowing teams to follow requests end to end while retaining traces their applications already emit.

Profiling and root-cause analysis

Continuous profiling can identify CPU spikes down to the exact line of code, making it useful for persistent performance investigations rather than occasional snapshots. Coroot correlates metrics, logs, traces, events and profiles to identify likely incident causes, show supporting evidence and suggest fixes. That cross-signal analysis is a meaningful advantage when an alert alone does not explain an outage, although suggested causes still require operational judgment.

Infrastructure and cost insight

Risk detection flags single-instance applications, unreplicated databases, poor replica placement and publicly exposed services. Cloud-cost tracking works without cloud-account access and covers AWS, GCP, Azure and other cloud or on-premises environments, which suits organizations that need cost visibility without granting broad provider permissions.

Operations and notifications

Container metrics, resource alerts, image monitoring, runtime events and container log collection cover the practical needs of container operators. Notifications can go to Slack, Microsoft Teams, PagerDuty, Opsgenie and webhooks, fitting established incident-response workflows.

Pricing

Community Edition — free. The free self-hosted edition includes core features and Apache 2.0 licensing. It is the sensible starting point for small teams, evaluators and organizations willing to operate the platform themselves, but it does not include the commercial support tiers.

Standard — $1 a month. This price is billed per monitored CPU core per month, with volume discounts, no ingestion fees and business-hours support by email, chat or ticket. The per-core model is predictable for modest installations but can become expensive as monitored infrastructure grows; it is less suitable for highly variable or very large estates.

Premium — custom pricing. Premium adds 24×7 and phone support, premium onboarding and air-gapped installation support. It is aimed at organizations that need stronger service coverage or restricted-network deployment rather than teams seeking the lowest operating cost.

A 14-day trial is available. The published plans do not state seat quotas or renewal terms.

Platforms

Coroot supports Kubernetes, OpenShift, Docker, Docker Swarm, Ubuntu, Debian, RHEL, CentOS and Windows agents. Supported orchestrators include self-managed Kubernetes, EKS, GKE, AKS, OKE, OpenShift, K3s, MicroK8s and Docker Swarm. Because eBPF is central to collection, Linux systems must run kernel 5.1 or newer; older systems are not a fit for the platform’s main approach.

Who it's for

Choose Coroot if you operate mixed infrastructure and want open-source, self-hosted observability with automatic instrumentation, dependency maps, continuous profiling and incident analysis in one platform. It is particularly compelling for platform and SRE teams with data-control requirements or complex Kubernetes estates. Look elsewhere if managed-only delivery is essential, your Linux fleet cannot meet kernel 5.1, or monitoring costs tied to CPU cores conflict with your budget model.

Pros and cons

• Pro: eBPF collects broad telemetry without application code changes, reducing instrumentation work.
• Pro: Service maps, profiling, risk detection and AI-assisted analysis connect detection with investigation.
• Pro: Self-hosting and Apache 2.0 licensing keep data and source under customer control.
• Pro: Deployment spans major Kubernetes, container, Linux and Windows environments.
• Con: Linux kernel 5.1 is a hard requirement for eBPF-heavy collection.
• Con: Standard’s per-monitored-core billing can penalize large or rapidly scaling infrastructure.
• Con: Self-hosting requires the customer to provide the operating environment and administration.

Alternatives

Guance Container Monitoring is a freemium alternative with Android, iOS, macOS, Linux, Windows, web, API and self-hosted support; its free plan covers up to 10 hosts, 10,000 metric series per day and 10 million log records per day with seven-day rolling retention.

Middleware suits teams wanting a freemium product across mobile, desktop, web and API platforms, with a free tier offering up to 100GB of data, 1,000 RUM sessions and 20,000 synthetic checks.

Grafana Cloud Application Observability is the alternative when a hosted Grafana service and host-hour billing are preferable; its free tier includes 2,232 host hours.

LMbench is a free GPL-2.0 benchmark rather than a full observability platform.

OneUptime is a freemium, Apache 2.0 open-source platform that can be self-hosted.

Sentry Continuous Profiling is a freemium profiling option with broad desktop, mobile, web and self-hosted platform support.

Metoro Kubernetes Profiling is better suited when Kubernetes profiling is the primary requirement; its free Hobby plan covers one cluster, one user and two nodes with 28-day retention, while Scale costs $20 a month per node.

Parca is a free Apache 2-licensed option focused on continuous profiling.

Verdict

Pick Coroot for open-source, self-hosted observability that unifies eBPF telemetry, dependency mapping, profiling, cloud-cost insight and automated incident analysis across mixed infrastructure. Its strongest case is operational breadth with customer-controlled data. Choose another platform if your systems cannot run the required Linux kernel, you need a fully managed service, or per-core billing does not match your scale.