kubetail
Kubetail is a real-time logging dashboard for Kubernetes that lets you view container logs from multiple pods in a single merged timeline, accessible via browser or terminal. It works out of the box using your cluster's native Kubernetes API, so logs stay private and on-premise by default.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | kubetail-org/kubetail |
| Owner | kubetail-org |
| Primary language | Go |
| License | Apache-2.0 — OSI-approved |
| Stars | 1.7k |
| Forks | 123 |
| Open issues | 26 |
| Latest release | cli/v0.18.0 (2026-06-16) |
| Last updated | 2026-07-06 |
| Source | https://github.com/kubetail-org/kubetail |
What kubetail is
Go-based CLI tool that streams live container logs from Kubernetes workloads (Deployments, DaemonSets, StatefulSets, etc.) by directly querying the Kubernetes API. Supports filtering by workload, time range, node properties, and grep patterns; offers optional cluster-installed components for advanced features like log search and lifecycle event tracking.
Get the kubetail source
Clone the repository and explore it locally.
git clone https://github.com/kubetail-org/kubetail.gitcd kubetail# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Kubetail CLI requires kubeconfig or in-cluster service account with read permissions on pods and pod logs; verify RBAC rules before deployment.
- Desktop dashboard and cluster-mode installations have different resource footprints; cluster mode may require persistent storage and network policies for agent-API communication.
- Container lifecycle tracking (to handle pod restarts) requires polling the Kubernetes API; monitor rate limits and etcd load in large clusters.
- No log filtering at source (kubelet); all filtering happens client-side, so high-volume clusters may experience latency or bandwidth constraints.
- Optional Kubetail API components (cluster-api, cluster-agent) add complexity; evaluate whether basic Kubernetes API–only mode meets your needs before installing cluster extensions.
When to avoid it — and what to weigh
- Requires log persistence or historical analysis — Kubetail is real-time only; it does not persist logs for archival, long-term retention, or retrospective analysis. For compliance or forensic needs, you need external log storage.
- Need centralized multi-cluster logging at scale — Kubetail queries each cluster independently via its API; it lacks native federation, cross-cluster correlation, or metrics/traces integration. Large multi-tenant environments may prefer ELK, Loki, or Datadog.
- Enterprise audit and compliance workflows — No built-in access controls, audit logging, or RBAC enforcement. Users with cluster API access can see all workload logs; not suitable for strict data isolation or regulated industries without additional platform controls.
- Advanced parsing, anomaly detection, or alerting — Roadmap indicates message parsing and metrics are future steps (not yet shipped). Today it is a log viewer, not an analytics or alerting engine.
License & commercial use
Apache License 2.0 (Apache-2.0): permissive open-source license permitting commercial use, modification, and distribution with patent protection. Requires retention of copyright and license notices; derivative works must also be licensed under Apache 2.0.
Apache 2.0 is a permissive OSI-approved license that explicitly permits commercial use. No external approval or commercial license needed to use Kubetail in production. However, verify your organization's open-source policy for any required attribution or compliance reviews.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Strong |
| Assessment confidence | High |
Kubetail queries the Kubernetes API using your kubeconfig/service account credentials; any user with read access to pods and logs can use Kubetail to view those logs. No encryption at rest for optional cluster components documented in provided data. No audit logging. Cluster-mode installation requires cluster-admin; review RBAC and network policies. Private by default (logs do not leave cluster), but logs are readable by anyone with API access.
Alternatives to consider
kubectl logs / kubectl tail (native)
Built-in Kubernetes tooling; no installation needed. Lacks UI, filtering, multi-container merging, and real-time lifecycle tracking. Suitable only for simple one-pod-at-a-time debugging.
Loki + Grafana
Full observability stack with log aggregation, persistence, querying, and dashboards. Requires external infrastructure, log forwarding, and operational overhead but scales to enterprise. Better for compliance and long-term retention.
Datadog / Splunk / New Relic
SaaS log management with analytics, alerts, and multi-cluster federation. Logs leave cluster; monthly costs; significant compliance considerations. Best for large orgs with existing APM investments.
Build on kubetail with DEV.co software developers
Start with the desktop CLI (1-line install via Homebrew), then decide whether cluster-mode features (advanced search, system logs) justify the extra operational overhead. Test against your RBAC and multi-cluster architecture first.
Talk to DEV.coRelated on DEV.co
Explore the category and the services that help you build with it.
kubetail FAQ
Does Kubetail store logs outside my cluster?
Can I view logs from multiple Kubernetes clusters?
What permissions does Kubetail need?
Is there a cost?
Software developers & web developers for hire
From first prototype to production, DEV.co delivers software development services around tools like kubetail. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source devops and beyond.
Evaluate Kubetail for Your Logging Needs
Start with the desktop CLI (1-line install via Homebrew), then decide whether cluster-mode features (advanced search, system logs) justify the extra operational overhead. Test against your RBAC and multi-cluster architecture first.