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Octopus Deploy is a common release orchestration tool, and teams want to see what is deployed where, how deployments are trending and whether deployment targets are healthy alongside their other SquaredUp data. The plugin works with Octopus Cloud and self-hosted Octopus Server using a server URL and an API key. Spaces are imported first, and projects, environments, deployment targets and tenants are imported per space as dependent steps. Octopus IDs are unique across a server, so the raw IDs are used as source IDs, with the space ID kept as a property. Every data stream accepts a whole space or a single project, environment, tenant or target as its scope, and derives the space from the object. An earlier design scoped tiles to spaces and filtered through a bound object parameter, but on perspective dashboards that either narrowed the space scope to nothing or ignored the selected object. Deployment history uses the Octopus deployment report rather than the task list, because deployment tasks carry no environment, tenant or release fields. The report has no warnings flag, so successful deployments with warnings are shown as successful everywhere, which also matches how Octopus presents them. The task list's environment filter accepts a single ID only, which per-object scoping satisfies. A timeframe of None on Tasks returns only active tasks, and the history timeframes are capped because neither endpoint is cheap on a busy server. The dashboards use SmartViz, with classic visualisations as a fallback. Release Progression is built on the endpoint behind the Octopus project dashboard so it can show where each release is deployed and where it is ready to go next. Also adds the plugin to CODEOWNERS. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
The first version covered deployments, tasks and deployment targets. This adds the parts of Octopus that tell a team what needs attention rather than what happened: deployments waiting on a manual intervention, active and scheduled deployment freezes, certificates nearing expiry, Tentacle and Calamari agents that need upgrading, and worker health. It also adds runbooks, with each runbook's latest run per environment taken from the same progression endpoint the Octopus runbook overview uses, and the audit log. Runbooks, worker pools and workers are imported as new object types, with Runbook and Worker Pool perspectives, plus top-level Infrastructure and Audit dashboards. Every new stream follows the existing scoping model, so it accepts a space or a single object. Deployment freezes are server-wide and carry no space, so a space scope only returns them for the default space; otherwise a multi-space tile would repeat every freeze. The worker pool import stream is named workerPoolList because an import step using a stream named workerPools failed every time with "Failed to get data stream", while the identical stream under another name worked. Correlation rules were tried and left out for now. Plugin rules only reach a data source when it is created, list-valued join keys are imported as JSON text that never equals a single id, and rule edits did not take effect on an existing data source, so the target-to-environment rules could not be verified. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Octopus blocks new work when a license or Cloud subscription expires or an installation reaches a licensed limit, so the overview now shows days to expiry and usage against each limit (spaces, projects, targets, tasks, tenants, users and workers). A customer's existing PowerShell integration already tracks license expiry, which is the one thing that integration covered and this plugin did not. The license status endpoint is server-wide and works on both Octopus Cloud and self-hosted servers. Like deployment freezes it carries no space, so it is returned only for the default space and isn't repeated across a multi-space tile. Also adds dashboard screenshots to the plugin metadata. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Actionable comments posted: 8
- 🪄 Fix comments: Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @plugins/OctopusDeploy/v1/configValidation.json:
- Around line 12-15: Update the spaces dataStream configuration to enable
errorOnEmptyResults so an empty response fails validation and displays the
existing error message. Keep required set to false.
Review comments at
@plugins/OctopusDeploy/v1/dataStreams/scripts/deploymentFreezes.js:
- Line 6: Remove the round1 helper and update the hoursRemaining and
startsInHours calculations in the deployment-freeze mapping to return the full
hour values; leave decimal formatting to the stream metadata.
Review comments at
@plugins/OctopusDeploy/v1/defaultContent/environment.dash.json:
- Around line 336-352: Update the Success Rate gauge bands in
`environment.dash.json` to use percentage thresholds of 80, 95, and 100, keeping
`gaugeMax` at 100. Apply the same threshold correction to the Success Rate gauge
in `project.dash.json`.
Review comments at
@plugins/OctopusDeploy/v1/defaultContent/infrastructure.dash.json:
- Around line 173-177: Update the “Agents Needing Update” tile’s agentStatus
filter to include only the explicit update states “Upgrade required,” “Upgrade
suggested,” and “Calamari update,” rather than using notequals “Up to date.”
Preserve the existing tile behavior for targets in those update states.
Review comments at @plugins/OctopusDeploy/v1/defaultContent/overview.dash.json:
- Around line 131-147: Update the `gaugeBands` boundaries in the Success rate
gauge to use the same 0–100 scale as `gaugeMax`: set the red, amber, and green
thresholds to 80, 95, and 100, respectively. Preserve the existing band colors.
Review comments at @plugins/OctopusDeploy/v1/defaultContent/project.dash.json:
- Around line 345-361: Update the gauge bands in the Success Rate visualization
to use thresholds of 80, 95, and 100, matching the 0–100 scale used by
`gaugeMax` and `succeeded_mean`; preserve the existing band colors.
Review comments at @plugins/OctopusDeploy/v1/defaultContent/tasks.dash.json:
- Around line 624-626: Update the “Duration and Wait by Type” tile configuration
to include queuedSeconds_mean alongside durationSeconds_mean in yAxisData, and
add a corresponding quantitative y mapping in vizSpec so both measures are
plotted.
Review comments at @plugins/OctopusDeploy/v1/docs/README.md:
- Line 20: Update the certificate guidance in the setup instructions to tell
users to first configure the SquaredUp agent to trust the internal certificate
authority. Present “Ignore certificate errors” only as an opt-in fallback on a
trusted network path, and clarify that it disables TLS certificate validation.
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The optional "Check data access" step passed on an empty spaces list, reporting "Spaces are accessible" to a user whose key can see nothing. It now fails with its existing message, while staying optional. Also from review: freeze hours are left unrounded for the column's decimal formatting to handle, the classic fallback of the duration and wait chart plots both measures like its SmartViz chart does, and the README presents ignoring certificate errors as a fallback that turns off certificate validation. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
🧩 Plugin PR Summary📦 Modified Plugins
📋 Results
🔍 Validation Details✅
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🔌 Plugin overview
X-Octopus-ApiKeyheader); the README recommends a read-only service account🖼️ Plugin screenshots
Plugin configuration
To be added: drag in a screenshot of the data source configuration page.
Default dashboards
Nine dashboards: Overview, Tasks, Infrastructure and Audit, plus perspectives for Project, Environment, Deployment Target, Runbook and Worker Pool. All tiles use SmartViz, with a classic visualisation as fallback.
Overview

Tasks

Infrastructure

Project perspective (release progression by environment)

Runbook perspective

🧪 Test plan
Tested against a live Octopus Cloud instance through a deployed, authenticated data source:
/api/users/me) returns 200; the spaces check passes.squaredup testagainst real data, scoped to a space and to individual objects, with differing results per object to prove the filters narrow correctly:📚 Checklist
🤖 Generated with Claude Code
Summary by CodeRabbit