Kwatch

Open source alternative to Komodor and Robusta

1K stars
Elastic License 2.0 (ELv2)
Active this week
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Last verified Oct 30, 2026

Monitor Kubernetes clusters with root-cause analysis that traces each failure to its cause and sends one clear incident message to Slack or 50+ other channels.

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Read the full breakdownWho it is for, how it works, trade-offs, the quick start and the FAQ

who it's for

Who Kwatch is for#

SREs managing Kubernetes in production

kwatch cuts the time between a pod failure and knowing the cause. Instead of correlating alerts from Prometheus, checking deployment history, and reading logs manually, on-call engineers get one message with the root cause, who deployed it, and the exact kubectl command to run.

Skip if:

Skip if your team already uses a full incident management platform with Kubernetes runbooks and finds alert correlation fast enough. kwatch's value is the speed of the first diagnosis, not the workflow that follows.

Small teams running Kubernetes without a dedicated SRE

kwatch's plain-language messages are designed for teams without deep Kubernetes expertise. Each alert names the failure in ordinary terms, explains why it happened, and tells what to do next. The installer guides setup with plain questions and checks the cluster before making any changes.

Skip if:

Skip if your team already has strong Kubernetes observability tooling and your pain is workflow or remediation, not diagnosis. kwatch covers detection and explanation, not the execution step.

Teams replacing commercial Kubernetes monitoring to cut costs

kwatch replaces the SaaS layer from tools like Komodor or Robusta for teams whose primary need is incident detection and root cause, not the dashboard and automation features those platforms add. The Community edition costs nothing and the Pro edition is free during early access, so the switch has no upfront cost.

Skip if:

Skip if your team depends on runbook automation, change management integrations, or the workflow features that commercial platforms offer beyond alerting. kwatch is a detection and explanation tool, not an incident management platform.

Teams with strict data residency or compliance requirements

kwatch analyzes cluster events and logs locally and never sends workload data externally. For teams where Kubernetes logs contain PII, secrets, or regulated data, running analysis inside the cluster removes a common concern with cloud-based monitoring services. Telemetry is opt-out and contains only an anonymous cluster hash and the kwatch version.

Skip if:

Skip if your compliance requirement extends to the monitoring binary itself and mandates an OSI-certified open source license. kwatch uses ELv2, which is source-available but not OSI open source.

the problem

The problem it solves#

Production Kubernetes clusters produce a flood of alerts the moment something goes wrong. One deployment failure cascades into CrashLoopBackOff on every dependent pod, NotReady nodes, and downstream service errors, each firing its own alert. Engineers land in a Slack channel with fifty notifications and still do not know what started it.

The standard tooling makes this worse. Prometheus and Alertmanager tell you when something is outside normal range, but they do not trace why. Paid monitoring platforms add dashboards and incident workflows on top, but they require alerting rules written in advance and still leave root cause reconstruction to whoever is on call. Engineers spend the first fifteen minutes of an incident piecing together a timeline from logs, deployment history, and config changes that should have arrived as one message.

how Kwatch solves it

How it solves it#

Root cause before symptoms

kwatch builds a live dependency map of your cluster and walks it backwards when something fails. Instead of reporting every affected pod, it finds the common cause, such as a config map change four minutes before the crash, and names it in the first line of the incident message. No query writing or manual correlation needed.

All analysis stays inside your cluster

kwatch reads events and logs where they live. The only outbound traffic is optional anonymous usage stats (at most once a week, opt-out with a single config flag) and Pro license checks (once a day). Cluster names, namespace names, pod names, and log content never leave your infrastructure. Alerts go only to the channels you configure.

One message per incident, not one per pod

When multiple pods fail from the same cause, kwatch merges them into one incident and sends one message. It does not repeat every five minutes or re-alert for the same active issue. Updates arrive only when something material changes, and a resolve message closes the thread once the incident is over. Successful rollouts and routine node drains stay silent.

Change attribution in every alert

kwatch keeps a timeline of every rollout, config edit, and image update with who made each change. When a deployment fails, the incident message includes the deployer's name, the timestamp, and the image tag that was in place before the failure, so on-call engineers see the full context without reading deployment history separately.

50+ alerting channels with stable incident keys

kwatch sends to Slack, Microsoft Teams, Discord, PagerDuty, Opsgenie, email, Jira, and more than 50 providers total. Paging tools receive a stable incident key for each problem, so the same alert updates the existing page rather than creating a new one, and closes it automatically when the incident resolves.

Built-in detection for every common failure mode

kwatch detects CrashLoopBackOff, OOMKilled, ImagePullBackOff, stuck rollouts, failed jobs, missed cron jobs, PVC failures, expiring certificates, and more, with no alerting rules to configure. The Community edition covers pod failures and NotReady nodes out of the box; the Pro edition adds every other detector, including storage, network, control plane, and custom resources.

strengths · trade-offs

Strengths and trade-offs#

Strengths

Zero configuration for incident detectionMost Kubernetes monitoring tools require you to write and maintain alerting rules before anything fires. kwatch ships with built-in detection for the failures that actually page people: crash loops, OOM kills, stuck rollouts, certificate expiry, and more. You install it and it starts working. Commercial alternatives like Komodor require rule and playbook setup before the tool is useful.
Cluster data never leaves your infrastructureEvery analysis runs inside the cluster against local events and logs. Unlike cloud-based Kubernetes monitoring services that ingest workload data into their own infrastructure, kwatch sends nothing about your workloads externally. Only a hashed cluster ID and kwatch version reach kwatch.dev for Pro license checks; the Community edition makes no outbound calls to kwatch.dev at all.
Single pod, minimal footprintkwatch runs as one Go binary in one pod. It writes only its own state lock and a small volume for incident history. No sidecars, no operators, no separate metrics pipeline. The RBAC grant is read-only by default, scoped to the resources it watches, and the installer configures it automatically.
Full source published on GitHub under ELv2The full source is on GitHub. Teams that want to audit what runs in their cluster can read every file. Unlike closed-source commercial monitoring tools, there is no black box. ELv2 permits self-hosting for any internal or commercial purpose; the restriction covers reselling kwatch itself as a managed service.

Trade-offs

-ELv2 license forbids offering kwatch as a managed servicekwatch is not open source under the OSI definition. It is published under Elastic License 2.0, which permits self-hosting and all internal use, commercial included, but prohibits offering kwatch itself to third parties as a hosted or managed service. Teams that build internal tooling or run their own infrastructure are unaffected. Managed service providers that want to resell kwatch's functionality would need a separate commercial arrangement.
-Community edition covers only crash loops and NotReady nodesThe free Community edition detects pod crash loops, OOM kills, and NotReady nodes, but not stuck rollouts, storage failures, certificate expiry, network policy problems, or control plane issues. Those require Pro. Pro is free for three months during early access, with possible renewal for up to two clusters per account, so the practical gap is small today, but the feature split exists and will matter once Pro is paid.
-Pro license covers one cluster per keyEach Pro license key runs on one cluster. Moving a key to a different cluster is permitted up to three times in any 30-day window. Teams running more than two clusters need multiple keys; the early-access limit is two clusters per account or company. After early access ends, Pro pricing has not yet been announced.

versus alternatives

Kwatch vs alternatives#

kwatch vs Komodor

kwatch and Komodor both detect Kubernetes failures and send notifications, but they solve different halves of the incident problem. kwatch focuses on detection and root-cause explanation; Komodor adds change intelligence, playbooks, runbook automation, and a full incident platform on top.

	kwatch	Komodor
License	ELv2 (source-available)	Proprietary
Self-hosting	Yes	No
Root cause tracing	Yes	Yes
Incident workflow	No	Yes
Runbook automation	No	Yes
Pricing	Free Community; Pro free in early access	Paid plans

kwatch is the better fit when your team needs fast diagnosis without building rules or configuring a platform, and when data residency matters because all analysis runs inside the cluster. Komodor is the better choice when your team needs automated runbooks, JIRA or GitHub integration, and a dashboard for tracking incident history across multiple clusters.

kwatch vs Robusta

Robusta is a Kubernetes monitoring tool that uses Python-based automation actions triggered by alerts and integrates tightly with Prometheus. kwatch takes no dependency on Prometheus and requires no code to write.

	kwatch	Robusta
License	ELv2 (source-available)	MIT core, proprietary SaaS
Self-hosting	Yes	Yes
Prometheus required	No	Recommended
Automation playbooks	No	Yes (Python)
Root cause explanation	Yes	Limited
Setup complexity	Low (one installer command)	Medium (Helm + Prometheus stack)

kwatch is the better choice when you need quick incident diagnosis without Prometheus or playbook code. Robusta is worth considering when you already run the Prometheus/Alertmanager stack and want to automate responses to specific alert conditions with Python actions.

install · quick start

Quick start#

bash

Deploy kwatch to your Kubernetes cluster using the interactive shell installer, which checks your cluster before making changes and configures alerting in one step.

```bash
curl -fsSL https://kwatch.dev/kwatch.sh | bash
```

tech stack · detected from GitHub

What it's built on#

Languages: GoJavaScript
Infrastructure: Kubernetes

frequently asked

FAQ#

Does kwatch replace Prometheus or Grafana?

No. kwatch answers a different question from Prometheus and Grafana: when something breaks in your cluster, what caused it and what to do next. Prometheus and Grafana are built around metrics and dashboards; kwatch is built around failure diagnosis and notification. Most teams that use kwatch keep their existing metrics stack and run kwatch alongside it.

What is the difference between the Community and Pro editions?

Community is free forever, needs no account, and detects crash loops, OOM kills, and NotReady nodes. Pro adds every other detector (storage, network, certificates, control plane, custom resources), full root-cause proofs with who made recent changes, unlimited channel routing with threads, and dedicated support. Pro is free for three months during early access, with possible renewal, for up to two clusters per account.

What license does kwatch use, and can I use it commercially?

kwatch is published under Elastic License 2.0 (ELv2), a source-available license. You can self-host, copy, and use kwatch for any purpose including internal commercial use. The restriction is on offering kwatch itself to third parties as a hosted or managed service. Teams running their own Kubernetes infrastructure are unaffected.

What data leaves my cluster when kwatch is running?

Very little. Optional anonymous usage stats go to kwatch.dev at most once a week and contain only a one-way hash of the cluster ID and the kwatch version; turn them off with telemetry.enabled: false. Pro license checks run once a day and include the license ID, a hashed cluster ID, the kwatch version, and the node count. Community sends no license checks. Cluster names, namespace names, pod names, logs, and events never leave your infrastructure.

Does kwatch work on any Kubernetes cluster?

Yes, kwatch runs on any conformant Kubernetes cluster. The installer checks your cluster before changing anything and stores credentials in a Kubernetes Secret. It requests read access to cluster resources through RBAC and writes only its own state in its own namespace, never modifying your workloads. Helm is available as an alternative install method for teams that prefer it.

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kwatch vs Komodor

	kwatch	Komodor
License	ELv2 (source-available)	Proprietary
Self-hosting	Yes	No
Root cause tracing	Yes	Yes
Incident workflow	No	Yes
Runbook automation	No	Yes
Pricing	Free Community; Pro free in early access	Paid plans

kwatch vs Robusta

	kwatch	Robusta
License	ELv2 (source-available)	MIT core, proprietary SaaS
Self-hosting	Yes	Yes
Prometheus required	No	Recommended
Automation playbooks	No	Yes (Python)
Root cause explanation	Yes	Limited
Setup complexity	Low (one installer command)	Medium (Helm + Prometheus stack)