General
Overview
Refer to the Workload concepts page.
Create a Workload
Refer to the Create a Workload guide for additional details.
Access Report
Displays the permissions granted to principals for the workload.
Identity
Refer to the identities page for additional details.
Connect
A specific replica of a workload can be connected to (similar to exec
) from either the console or the CLI. This can be used for troubleshooting any issues with the replica.
To connect using the console, click the Connect
link from a workload. Select the location, container, replica, and command. Click Connect
to execute the command. By default, the bash
shell will be executed.
To connect using the CLI, review the workload connect subcommand.
Debug
In order to see detailed routing for the global georouted endpoint of a workload, debug values can be included within the response headers of a workload’s endpoint request.
The values will only be returned when:
debug
is active and the headerx-cpln-debug: true
is in the request.- The global or canonical endpoint is being requested.
Using the console, debug can be activated by:
- Clicking
Options
. - Clicking the
Debug
switch toon
. - Clicking
Save
.
After the workload redeploys, the response from the workload’s endpoint will contain the following headers if the header x-cpln-debug: true
is in the request:
x-cpln-location
: Location of the responding replica.x-cpln-replica
: Name of the responding replica.
Endpoints
Canonical Endpoint (global)
This URL is globally load-balanced and TLS terminated. This can be used for testing if there is an issue with the custom domain that is associated with the GVC.
Location Specific Endpoint
Within each deployment, a location specific URL is available that can be used for testing how your app is responding from a specific location of a GVC.
Custom Domain Endpoints
Additional globally load-balanced endpoints will show in the workload status for each domain route that is configured to use this workload.
Internal Mutual-TLS Endpoint
Format: gvcName.cpln.local:$port
Each workload can allowed to receive requests from other workloads in the same Org internally using the provided intenal endpoint. Access to this endpoint is controller by the internal firewall settings.
Inter-Container Communication
Containers deployed within the same workload can communicate with each other using their names and assigned ports. This setup facilitates direct networking between containers.
- Container Identification - Each container is uniquely identified by its name.
- Port Allocation - Containers are assigned specific ports for network communication.
Example Scenario
- Imagine two containers within the same workload:
foo
andbar
. - Container
foo
is running on port 4020. - Container
bar
is running on port 4030.
foo
can access bar
using the URL http://bar:4030. This URL combines the name of the destination container bar
and its assigned port 4030, enabling direct communication between the two containers.
This method ensures efficient and organized networking within a multi-container workload environment.
Built-in Variables
Each workload has the following built-in environment variables:
Variable Name | Description | Format |
---|---|---|
CPLN_GLOBAL_ENDPOINT | The canonical Host header that the container will receive requests on | ${\workloadName}-${gvcAlias}.cpln.app |
CPLN_GVC | The Global Virtual Cloud (/reference/gvc) the container is running under | string |
CPLN_GVC_ALIAS | The Global Virtual Cloud Alias | 13 digit alphanumeric value |
CPLN_LOCATION | The location the container is serving the request from | aws-us-west-2, azure-eastus2, gcp-us-east1, etc. |
CPLN_NAMESPACE | The namespace of the container | Generated random string (e.g., aenhg2ec6pywt) |
CPLN_PROVIDER | The cloud provider the container is serving the request from | aws, azure, gcp, etc. |
CPLN_ORG | The org the container is running under | string |
CPLN_WORKLOAD | The workload the container is running under | string |
CPLN_WORKLOAD_VERSION | The Control Plane version of the Workload, only updated when needed to apply changes. For example, changing scaling settings will not cause this to change. | numeric |
CPLN_TOKEN | An token used to authenticate to the Control Plane CLI / API | Random authorization token |
CPLN_IMAGE | The image as defined for this container in the Control Plane api | string |
Since a Workload Identity can be the target of a Policy, a running Workload can be authorized to exercise the Control Plane CLI or API without any additional authentication.
Examples:
-
Direct call to the Control Plane API:
curl ${CPLN_ENDPOINT}/org/${CPLN_ORG} -H "Authorization: ${CPLN_TOKEN}"
-
If the Control Plane CLI installed:
cpln org get ${CPLN_ORG}
** The value of CPLN_TOKEN is valid only if the request originates from the Workload it is injected in. If it is used from another Workload or externally, a 403 Forbidden
response will be returned. **
If a Workload is not assigned an Identity, it can still GET
its parent Org.
Logs
Workload logs are consolidated from all the deployed locations and can be viewed using the UI or CLI.
Using the UI, the logs page will be prefilled with the LogQL query for the workload and GVC name.
Logs can be further filtered by:
Date
Location
Container
Grafana can be used to view the logs by clicking the Explore on Grafana
link within the console.
Refer to the logs page for additional details.
Rollout Options
Settings to control the rollout process between versions.
minReadySeconds
The minimum number of seconds that a workload replica must be running before the rollout progresses.
maxUnavailableReplicas
The maximum number or percentage of replicas that can be unavailable during a rollout or during regular rescheduling of workloads.
maxSurgeReplicas
The maximum number or percentage of new replicas that can added during a rollout for each batch.
Example: If there are 4 running replicas and maxSurgeReplicas is set to 50%, then during each rollout 2 replicas will be added at the new version. Once they are healthy as determined by the ReadinessProbe, the rollout will continue, -2 old replicas, +2 new replicas, -2 old replicas.
In cases where a short rollout cutover is needed, a maxSurgeReplicas setting of 100%
is recommended.
scalingPolicy
The strategies used to update applications and services deployed. Valid values: OrderedReady
(Updates workloads in a rolling fashion, taking down old ones and bringing up new ones incrementally, ensuring that the service remains available during the update.), Parallel
(Causes all pods affected by a scaling operation to be created or destroyed simultaneously. This does not affect update operations.). Default: OrderedReady
.
Default Ephemeral Storage
Each workload replica receives at least 1GB of local ephemeral solid state drive (SSD) storage. Workloads that request more than 1 core of CPU receive 1GB of storage for each core. For example, a workload that requests 1500 millicore of CPU can consume up to 1.5GB of ephemeral storage.
If the replica uses more than its allotted ephemeral storage, it will be replaced with a new replica.
Suspend
Each workload can be suspended which immediately stops the workload from serving traffic. This is the same as setting the min/max scale to 0. When the workload is unsuspended, it will resume serving traffic.
To temporarily deactivate a workload choose Stop
from the Actions menu.
The workload will stop running and will not serve any traffic.
To reactivate the workload, choose Start
from the actions menu.
Timeout
The maximum request duration in seconds before Control Plane will timeout. This timeout amount can be reached when Control Plane is waiting for the workload to respond or when waiting for a new workload to become available when using Autoscaling.
The minimum value is 1 second and the maximum value is 600 seconds.
Metering and Billing
The CPU, memory and egress used for mounted object stores are billed to the workload. To review the costs of mounting an object store, query the container named cpln-mounter
for the workload within the metrics page.
Workload Health
- Possible values:
Loading
Healthy
Unhealthy
Deleting
Unknown
CLI
To view the CLI documentation for Workloads, click here.