---
title: Charmhub | Deploy Tempo Worker K8s using Charmhub - The Open Operator Collection
description: Deploy the latest version of Tempo Worker K8s as a Kubernetes Operator
  on any cloud. Tempo is a distributed tracing backend by Grafana.
url: https://charmhub.io/tempo-worker-k8s
---

# Tempo Worker K8s

[Canonical Observability](https://charmhub.io/publisher/observability "View all packages from Canonical Observability")

* [Canonical Observability](https://charmhub.io/publisher/observability "View all packages from Canonical Observability")

Platform:

2.10/stable 117

```
juju deploy tempo-worker-k8s --channel 2.10/stable
```

[Learn to deploy on juju >](https://juju.is/docs/juju/manage-applications)

[Read documentation](https://documentation.ubuntu.com/observability/latest/)

#### Relevant links

* [Homepage](https://charmhub.io/tempo-worker-k8s)

---

#### Contacts

* [Submit a bug](https://github.com/canonical/tempo-operators/issues)

---

Share your thoughts on this charm with the community on discourse.

[Join the discussion](https://discourse.charmhub.io/)

#### Tempo is a distributed tracing backend by Grafana.

Tempo Worker K8s is a Juju charm that runs Grafana Tempo components on Kubernetes as part of
a horizontally scalable deployment. It works together with the Tempo Coordinator charm,
following the coordinated-workers pattern. It is a component of the Canonical Observability
Stack (COS):
https://documentation.ubuntu.com/observability

Each worker unit receives its configuration from the coordinator and executes exactly one
Tempo role, enabling flexible scaling of individual components independently.

Key features:

* Configurable roles: querier, query-frontend, ingester, distributor, compactor,
  metrics-generator, or the all meta-role (scalable-single-binary mode).
* Horizontal scaling by adding more worker units with the desired role.
* Automatic configuration received from the Tempo Coordinator via the tempo-cluster relation.
* Persistent WAL storage for trace data durability across container restarts.
* Configurable Kubernetes resource limits for CPU and memory.