Temporal Server
- Commercial Systems
| Channel | Revision | Published | Runs on |
|---|---|---|---|
| latest/stable | 23 | 08 Mar 2024 | |
| latest/edge | 42 | 14 Nov 2024 |
juju deploy temporal-k8s --channel edge
Deploy Kubernetes operators easily with Juju, the Universal Operator Lifecycle Manager. Need a Kubernetes cluster? Install MicroK8s to create a full CNCF-certified Kubernetes system in under 60 seconds.
Platform:
Horizontal Scaling
Excerpt from Temporal’s documentation:
The Temporal Server consists of four independently scalable services:
- Frontend gateway: for rate limiting, routing, authorizing.
- History subsystem: maintains data (mutable state, queues, and timers).
- Matching subsystem: hosts Task Queues for dispatching.
- Worker Service: for internal background Workflows.
For example, a real-life production deployment can have 5 Frontend, 15 History, 17 Matching, and 3 Worker Services per cluster.
The Temporal Server services can run independently or be grouped together into shared processes on one or more physical or virtual machines. For live (production) environments, we recommend that each service runs independently, because each one has different scaling requirements and troubleshooting becomes easier. The History, Matching, and Worker Services can scale horizontally within a Cluster. The Frontend Service scales differently than the others because it has no sharding or partitioning; it is just stateless.
The Charmed Temporal K8s operator is designed such that each service can be deployed as a separate application which can then be connected together by integrating with the same database. These services can then be scaled according to your needs.
To deploy the services separately in a scalable way, you must deploy the application as follows:
juju deploy temporal-k8s --config services="frontend"
juju deploy temporal-k8s --config services="matching" temporal-k8s-matching
juju deploy temporal-k8s --config services="history" temporal-k8s-history
juju deploy temporal-k8s --config services="worker" temporal-k8s-worker
# Deploy database charm and relate to the frontend service
juju deploy postgresql-k8s --channel 14/stable --trust
juju relate temporal-k8s:db postgresql-k8s:database
juju relate temporal-k8s:visibility postgresql-k8s:database
# Deploy Temporal admin charm and relate to the frontend service
juju deploy temporal-admin-k8s
juju relate temporal-k8s:admin temporal-admin-k8s:admin
Once the temporal-k8s frontend service is active, we can relate the other three services to the same database and admin charms:
juju relate temporal-k8s-history:db postgresql-k8s:database
juju relate temporal-k8s-history:visibility postgresql-k8s:database
juju relate temporal-k8s-history:admin temporal-admin-k8s:admin
juju relate temporal-k8s-matching:db postgresql-k8s:database
juju relate temporal-k8s-matching:visibility postgresql-k8s:database
juju relate temporal-k8s-worker:db postgresql-k8s:database
juju relate temporal-k8s-worker:visibility postgresql-k8s:database
Once deployed, you can run juju status --watch 1s to watch the status of your
applications. It may take a few minutes to see the following output where all
nodes are showing Workload=Active and Agent=idle:
Model Controller Cloud/Region Version SLA Timestamp
temporal temporal-controller microk8s/localhost 3.1.2 unsupported 14:31:41+03:00
App Version Status Scale Charm Channel Rev Address Exposed Message
postgresql-k8s 14.7 active 1 postgresql-k8s 14/stable 73 10.152.183.171 no Primary
temporal-admin-k8s active 1 temporal-admin-k8s edge 4 10.152.183.35 no
temporal-k8s active 1 temporal-k8s 0 10.152.183.95 no
temporal-k8s-history active 1 temporal-k8s 1 10.152.183.52 no
temporal-k8s-matching active 1 temporal-k8s 2 10.152.183.122 no
temporal-k8s-worker active 1 temporal-k8s 3 10.152.183.134 no
Unit Workload Agent Address Ports Message
postgresql-k8s/0* active idle 10.1.232.60 Primary
temporal-admin-k8s/0* active idle 10.1.232.20
temporal-k8s-history/0* active idle 10.1.232.6
temporal-k8s-matching/0* active idle 10.1.232.61
temporal-k8s-worker/0* active idle 10.1.232.42
temporal-k8s/0* active idle 10.1.232.26
To confirm the four services can reach each other, you can run
juju run temporal-admin-k8s/0 tctl args="adm cl d", you should see the output
below. As can be seen from the output, the reachable members use the k8s pod IP
address to communicate with other services.
output: |
{
"supportedClients": {
"temporal-cli": "\u003c2.0.0",
"temporal-go": "\u003c2.0.0",
"temporal-java": "\u003c2.0.0",
"temporal-php": "\u003c2.0.0",
"temporal-server": "\u003c2.0.0",
"temporal-typescript": "\u003c2.0.0",
"temporal-ui": "\u003c3.0.0"
},
"serverVersion": "1.17.3",
"membershipInfo": {
"currentHost": {
"identity": "10.1.232.26:7233"
},
"reachableMembers": [
"10.1.232.42:6939",
"10.1.232.61:6935",
"10.1.232.6:6934",
"10.1.232.26:6933"
],
"rings": [
{
"role": "frontend",
"memberCount": 1,
"members": [
{
"identity": "10.1.232.26:7233"
}
]
},
{
"role": "history",
"memberCount": 1,
"members": [
{
"identity": "10.1.232.6:7234"
}
]
},
{
"role": "matching",
"memberCount": 1,
"members": [
{
"identity": "10.1.232.61:7235"
}
]
},
{
"role": "worker",
"memberCount": 1,
"members": [
{
"identity": "10.1.232.42:7239"
}
]
}
]
},
"clusterId": "514dd854-eb26-4e93-9f3c-1355cb8aa99a",
"clusterName": "active",
"historyShardCount": 4,
"persistenceStore": "postgres",
"visibilityStore": "postgres",
"failoverVersionIncrement": "10",
"initialFailoverVersion": "1"
}
result: command succeeded
Adding Replicas
To add more replicas you can use the juju scale-application functionality i.e.
juju scale-application temporal-k8s <num_of_replicas_required_replicas>
To scale all four services to two units each, you can run the following commands:
juju scale-application temporal-k8s 2
juju scale-application temporal-k8s-history 2
juju scale-application temporal-k8s-matching 2
juju scale-application temporal-k8s-worker 2
You can then run juju status --watch 1s to watch the status of your
applications. It may take a few minutes to see the following output where all
nodes are showing Workload=Active and Agent=idle:
Model Controller Cloud/Region Version SLA Timestamp
temporal temporal-controller microk8s/localhost 3.1.0 unsupported 15:18:19+03:00
App Version Status Scale Charm Channel Rev Address Exposed Message
postgresql-k8s 14.7 active 1 postgresql-k8s 14/stable 73 10.152.183.171 no Primary
temporal-admin-k8s active 1 temporal-admin-k8s edge 4 10.152.183.35 no
temporal-k8s active 2 temporal-k8s 0 10.152.183.95 no
temporal-k8s-history active 2 temporal-k8s 1 10.152.183.52 no
temporal-k8s-matching active 2 temporal-k8s 2 10.152.183.122 no
temporal-k8s-worker active 2 temporal-k8s 3 10.152.183.134 no
Unit Workload Agent Address Ports Message
postgresql-k8s/0* active idle 10.1.232.60 Primary
temporal-admin-k8s/0* active idle 10.1.232.20
temporal-k8s-history/0* active idle 10.1.232.6
temporal-k8s-history/1 active idle 10.1.232.51
temporal-k8s-matching/0* active idle 10.1.232.61
temporal-k8s-matching/1 active idle 10.1.232.38
temporal-k8s-worker/0* active idle 10.1.232.42
temporal-k8s-worker/1 active idle 10.1.232.23
temporal-k8s/0* active idle 10.1.232.26
temporal-k8s/1 active idle 10.1.232.25
To confirm the four scaled services can reach each other, you can run
juju run temporal-admin-k8s/0 tctl args="adm cl d", you should see the
following:
output: |
{
"supportedClients": {
"temporal-cli": "\u003c2.0.0",
"temporal-go": "\u003c2.0.0",
"temporal-java": "\u003c2.0.0",
"temporal-php": "\u003c2.0.0",
"temporal-server": "\u003c2.0.0",
"temporal-typescript": "\u003c2.0.0",
"temporal-ui": "\u003c3.0.0"
},
"serverVersion": "1.17.3",
"membershipInfo": {
"currentHost": {
"identity": "10.1.232.25:7233"
},
"reachableMembers": [
"10.1.232.42:6939",
"10.1.232.6:6934",
"10.1.232.25:6933",
"10.1.232.51:6934",
"10.1.232.23:6939",
"10.1.232.38:6935",
"10.1.232.61:6935",
"10.1.232.26:6933"
],
"rings": [
{
"role": "frontend",
"memberCount": 2,
"members": [
{
"identity": "10.1.232.26:7233"
},
{
"identity": "10.1.232.25:7233"
}
]
},
{
"role": "history",
"memberCount": 2,
"members": [
{
"identity": "10.1.232.6:7234"
},
{
"identity": "10.1.232.51:7234"
}
]
},
{
"role": "matching",
"memberCount": 2,
"members": [
{
"identity": "10.1.232.61:7235"
},
{
"identity": "10.1.232.38:7235"
}
]
},
{
"role": "worker",
"memberCount": 2,
"members": [
{
"identity": "10.1.232.42:7239"
},
{
"identity": "10.1.232.23:7239"
}
]
}
]
},
"clusterId": "514dd854-eb26-4e93-9f3c-1355cb8aa99a",
"clusterName": "active",
"historyShardCount": 4,
"persistenceStore": "postgres",
"visibilityStore": "postgres",
"failoverVersionIncrement": "10",
"initialFailoverVersion": "1"
}
result: command succeeded
Removing Replicas
To scale down the number of replicas, you can again use the juju scale-application functionality i.e.
juju scale-application temporal-k8s <num_of_replicas_required_replicas>
To scale all four services back down to one unit each, you can run the following commands:
juju scale-application temporal-k8s 1
juju scale-application temporal-k8s-history 1
juju scale-application temporal-k8s-matching 1
juju scale-application temporal-k8s-worker 1
You can then run juju status --watch 1s to watch the status of your
applications. It may take a few minutes to see the following output where all
nodes are showing Workload=Active and Agent=idle:
Model Controller Cloud/Region Version SLA Timestamp
temporal temporal-controller microk8s/localhost 3.1.0 unsupported 15:18:19+03:00
App Version Status Scale Charm Channel Rev Address Exposed Message
postgresql-k8s 14.7 active 1 postgresql-k8s 14/stable 73 10.152.183.171 no Primary
temporal-admin-k8s active 1 temporal-admin-k8s edge 4 10.152.183.35 no
temporal-k8s active 2 temporal-k8s 0 10.152.183.95 no
temporal-k8s-history active 2 temporal-k8s 1 10.152.183.52 no
temporal-k8s-matching active 2 temporal-k8s 2 10.152.183.122 no
temporal-k8s-worker active 2 temporal-k8s 3 10.152.183.134 no
Unit Workload Agent Address Ports Message
postgresql-k8s/0* active idle 10.1.232.60 Primary
temporal-admin-k8s/0* active idle 10.1.232.20
temporal-k8s-history/0* active idle 10.1.232.6
temporal-k8s-history/1 active idle 10.1.232.51 agent lost, see 'juju show-status-log temporal-k8s-history/1'
temporal-k8s-matching/0* active idle 10.1.232.61
temporal-k8s-matching/1 active idle 10.1.232.38 agent lost, see 'juju show-status-log temporal-k8s-matching/1'
temporal-k8s-worker/0* active idle 10.1.232.42
temporal-k8s-worker/1 active idle 10.1.232.23 agent lost, see 'juju show-status-log temporal-k8s-worker/1'
temporal-k8s/0* active idle 10.1.232.26
temporal-k8s/1 active idle 10.1.232.25 agent lost, see 'juju show-status-log temporal-k8s/1'