You are here:

Deployment

Deployment refers to the process of installing and configuring a software on a target system. This step is usually carried out after a software release.

Deployment iCube enables you to create ad hoc reports to gain insights into your deployment cycles such as upcoming deployments, daily deployments, deployment growth rate and so on. Using this iCube, you can answer business questions related to deployments such as:

Percentage of deployments was that were successful
Time taken for deployment to complete
Waiting time for a given deployment
Percentage of deployments that are automated across teams/environments
Average deployments handled in a given quarter, and so on.

Note:

Deployment iCube supports only Digital.ai Deploy source system.
The Deployment iCube analyzes the data for applications, and environment CI only and not for infrastructure, hosts, containers, dictionaries, etc. Also, the grain of the data analyzed is at the deployment task level only and not at the steps or sub-tasks of deployment.

You can use the following attributes and metrics provided as part of the iCube to create your own reports:

Attributes

Attributes	Description
Application	Name of the application
Automated Flag	Flag to indicate if the deployment is manual or automated
Calendar Date	Gregorian calendar date displayed in the format 'M/D/YYYY'
Calendar Month	Gregorian calendar month displayed in the format 'Mon YYYY'
Calendar Quarter	Gregorian calendar quarter displayed in the format 'Q# YYYY'
Calendar Week	Gregorian calendar week displaying the week number. For example, W21, W22.
Calendar Year	Gregorian calendar year displayed in the format YYYY
Completed On	Date on which the deployment was completed
Created By	Person who created the deployment
Created On	Date on which the deployment was created
Date	Internal Attribute
Deployment Description	Description of the deployment
Deployment ID	Unique identifier for the deployment
Deployment Number	Id of Deployment task, with link to source
Deployment Status	Current status of the deployment
Deployment Successful Flag	Flag indicating if the Deployment is successful or unsuccessful
Deployment Type	Type of deployment that is being carried out
Deployment Worker	Worker used for deployment
Environment	Name of the environment under the release definition in which the deployment was carried out
Package	Name of the Deployment package
Package Type	Name of the Deployment package type
Project	Name of the project of which a particular deployment is part of
Queued On	Date on which the deployment was queued
Release Definition ID	ID of the release definition being attempted for the deployment
Release Definition Name	Name of the release definition being attempted for the deployment
Release ID	ID of the release which is attempted for deployment
Release Name	Name of the release for which the deployment is being attempted
Scheduled On	Scheduled Date of Deployment task.
Started On	Date on which the deployment was kicked off

Metrics

Metric Name	Description	Formula
% Automated Deployments	Percentage of deployments in the release that have been automated	No of Automated Deployments/ No of Deployments
% Failed Deployments	Percentage of deployments that failed or yielded no results	No of Failed Deployments/ No of Deployments
% Applications with Deployment Rollback	Ratio of number of applications which have any rollback to total number of applications	NullToZero(([No of Applications with Rollbacks] / [No of Impacted Applications]))
% Successful Deployments	Percentage of deployments that were successful or yielded results	No of Successful Deployments/ No of Deployments
Avg Deployment [Quarter]	Average number of deployments being carried out per quarter	Avg (No of Deployments) at deployment calendar Quarter level
Avg No. of Deployment Retries	Average number of times a Deployment failed and retriggered again	NullToZero(([No of Deployment Retries] / [No of Deployments]))
Avg Time Between Deployments by Application (Days)	Time between deployments by application in days	NullToZero(([Duration Between Deployments By Application] / 86400))
Daily Deployment Rate	Average number of Deployments per day over last N days, default is 180 days	NullToZero(([No of Deployments - Last N Days] / [Deployment Lagging Count Of Days Limit DPM]))
Delay in Start of Deployment (Days)	Delay duration in start of the Deployment in days, and is the difference between scheduled on and started on	NullToZero(([Delay in Start of Deployment] / 86400))
Deployment Count	Number of Deployments attempted for a particular release	Count (No of Deployments)
Deployment Duration (Seconds)	Total duration calculated in seconds for the entire Deployment to complete	Sum (Total Time)
Deployment Growth Rate - Last 30 Days	Growth of number of Deployments in last 30 days compared to last to last 30 days	NullToZero((([No of Deployments - Last 30 Days] - [No of Deployments - Last to Last 30 Days]) / [No of Deployments - Last to Last 30 Days]))
Deployment Wait Time (Seconds)	Time duration calculated in seconds for the time the Deployment is in waiting from the time of being queued to the actual start time	Sum (Wait Time)
Failed Deployment Growth Rate - Last 30 days	Growth of number of failed Deployments in last 30 days compared to last to last 30 days	NullToZero((([No of Failed Deployments - Last 30 Days] - [No of Failed Deployments - Last to Last 30 Days]) / [No of Failed Deployments - Last to Last 30 Days]))
MTBF (Days)	Average of (Duration between deployment failure and next consecutive success) across all Deployments	NullToZero(Avg(MTBF)/86400.0)
MTTR (Days)	Duration between last failure and consecutive successful deployment	NullToZero(Avg(MTTR)/86400.0)
No of Aborted Deployments	Total number of deployments that are in Aborted status	Count([No of Deployments]) <[Deployment Status = ABORTED]
No of Application Versions	Total number of application version which are deployed	Count([Deployment Package])
No of Applications with Rollbacks	Total number of applications which have any rollback	Count([Deployment Application]) <[Deployment Type = ROLLBACK]
No of Failed Deployments	Total number of deployments that yielded no results and are currently in failed status	Count([No of Deployments]) <[Deployment=FAILED]>
No of Impacted Applications	Total number of impacted applications for each Deployment	Count([Deployment Application])
No of Retired Deployments	Total number of Deployments in Stopped status	Count([No of Deployments]) <[Deployment Status = STOPPED]
No of Rollbacks	Total number of Deployments of Rollback type	Count([No of Deployments]) <[Deployment Type = ROLLBACK]
No of Successful Deployments	Total number of deployments that yielded results and are currently in successful status	Count([No of Deployments]) <[Deployment=SUCCESS]>
No of Upcoming Deployments	Total number of Deployments in Scheduled state or Start date is in future	Count([No of Deployments]) <[Deployment Lagging Count of Days < 0]
Rollback Frequency	Ratio of number of version rollbacks compared to all application versions	NullToZero(([No of Rollbacks] / [No of Application Versions]))
Successful Deployment Growth Rate - Last 30 Days	Growth of number of Successful Deployments in last 30 days compared to last to last 30 days	NullToZero((([No of Successful Deployments - Last 30 Days] - [No of Successful Deployments - Last to Last 30 Days]) / [No of Successful Deployments - Last to Last 30 Days]))