Tutorial: Deploy Tempo HA on top of COS-Lite
Contents:
- Introduction
- Prerequisites
- Deploy a monolithic setup
- Add dedicated worker roles
- Deploy with Terraform
- Further reading
Introduction
The Tempo HA solution consists of two Juju charms, tempo-coordinator-k8s
and tempo-worker-k8s
, that together deploy and operate Tempo, a distributed tracing backend by Grafana. The solution can operate independently, but we recommend running it alongside COS Lite
Prerequisites
This tutorial assumes you already have a Juju model with COS Lite deployed on a Kubernetes cloud. To deploy one, follow COS-Lite tutorial first. If you just want to test out deploying Tempo, you can omit this part and Relating to COS-Lite, however your Tempo instance would need to be accessed using juju ssh
. If you don’t know how to do it, you likely will benefit more from going through COS-Lite tutorial first.
Tempo charm uses an S3-compatible object storage as its storage backend. In most production deployments, it either means deploying Ceph or connecting to an S3 backend via the s3-integrator
charm. For testing and development, we recommend using the minio
charm.
To deploy and configure Minio to provide an S3 bucket to Tempo, you will need to follow this guide.
In the following steps we will assume that you have, in a model called cos
:
- a COS-Lite deployment
- an application called
s3
providing ans3
endpoint.
Deploy monolithic setup
To deploy Tempo HA in monolithic mode, where a single worker node runs all components of distributed Tempo, you need to deploy a single instance of the tempo-coordinator-k8s
charm as tempo
and a single instance of the tempo-worker-k8s
charm as tempo-worker
.
Integrate them over cluster
and integrate the tempo
application with s3
. At that point tempo
should go to active
status.
code
juju deploy tempo-coordinator-k8s --channel edge --trust tempo
juju deploy tempo-worker-k8s --channel edge --trust tempo-worker
juju integrate tempo tempo-worker
juju integrate tempo s3
juju integrate tempo:ingress traefik:traefik-route
# if you want to set up tracing for COS-Lite charms and the workloads that support it:
juju integrate tempo traefik:tracing
juju integrate tempo loki:tracing
juju integrate tempo grafana:tracing
juju integrate tempo prometheus:tracing
# grafana datasource integration
juju integrate tempo:grafana-source grafana:grafana-source
# self-monitoring integrations
juju integrate tempo:grafana-dashboard grafana:grafana-dashboard
juju integrate tempo:metrics-endpoint prometheus:metrics-endpoint
juju integrate tempo:logging loki:logging
Add dedicated worker roles
You can turn the monolithic deployment you have now in a distributed one by assigning some or all Tempo roles to individual worker units. See this doc for an explanation of the architecture, and this document for reference of the tempo roles specifically.
For Tempo to work, each one of the required roles must be assigned to a worker. This requirement is trivially satisfied if a worker has the role all
.
So, without removing the tempo-worker
application, we are going to start by adding an ingester
worker node. Deploy another instance of the tempo-worker-k8s
charm as tempo-ingester
and add it to the same tempo
coordinator instance to have it join the cluster. Configure the ingester
application, as you deploy it or afterwards, to only have the ingester
role enabled.
code
juju deploy tempo-worker-k8s --channel edge --trust tempo-ingester --config role-all=false --config role-ingester=true
juju integrate tempo tempo-ingester
Wait for the worker to go to active. Now you have two worker nodes running the ingester
component, and one node also running all other components.
Repeat the above step for all other required roles: querier, query-frontend, distributor, compactor
, and when you’re done, remove the tempo-worker
application.
Each of the required roles initially taken by the tempo-worker
application has now been transferred to the new worker instances.
Deploy with Terraform
You can use Tempo’s terraform module to deploy Tempo HA, but only in distributed mode.
cd /path/to/observability/terraform/modules/tempo
terraform init
terraform apply -var="model_name=cos"
This will deploy a Tempo cluster with all required and optional roles: ingester, querier, query-frontend, distributor, compactor, metrics-generator
assigning each worker a dedicated role.
See more: Recommended scale for each role.
Further reading
Last updated 5 days ago.