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2. Click on the “+” icon highlighted in the webhook configuration screen to add a new webhook: 3. Provide all necessary details such as the name of the Webhook, what is the tool for which it will be used, the label with which data will be forwarded to Neo4j etc. All fields marked with asterisk(*) are mandatory fields. (Refer here for more details) 4. The Response Template defines which fields are to be consumed by InSights. Values inside this field should be comma separated. Below is an example response template for Spinnaker events:
5. Once all details are filled, click on the save icon highlighted below: 6. This will take you back to the main Webhook configuration page. Select your webhook and Click on the link icon to copy your webhook. Keep it handy, this will be used later for Spinnaker. |
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You can configure multiple webhooks, where Spinnaker will forward the payloads to all of them simultaneously. In such scenarios, the echo-local.yml file will look like this: rest: Reference: click here |
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Default Spinnaker Dashboards
Upon configuring the webhook, the data flowing into InSights can be represented into meaningful Key Performance Indicators, which can provide a holistic view of the activities inside Spinnaker. We have used Grafana to depict a few such KPIs as graphical panels that might be useful for business analysis. Below are the KPI’s available:
Total number of Deployments:
Signifies the total number of deployments done via Spinnaker with (pass/fail distribution) as a doughnut chart.
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2. Monthly Deployments over time:
Number of deployments happening each month, along with passed/failed deployment distribution.
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3. Application Details:
Table containing application names, pipelines executed that are part of the said applications, number of times the pipelines are executed and the distinct outcomes of such executions.
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4. Pipeline Execution Details:
Tabular panel containing the details of each pipeline execution (eg- name, status, Date and time of execution etc.)
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5. Average Deployment Time:
Time taken to complete a deployment (pipeline execution) along with the overall average time (in minutes).
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6. Canary Analysis Panels:
Top 10 Canary Pipelines:
Top 10 pipelines (according to their time of execution) and their execution status.
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Canary Overview:
Details of canary pipeline executions (eg – execution status, canary scrore, score boundaries etc.)
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