Download link - https://www.kovair.com/adapters/docker-integration/ Kovair adapter for Docker, is designed to deploy and capture data generated from Docker environment. For an existing connected Docker environment when new Volume, Image, and Network related to a Container are introduced or changed the data are track back to Omnibus platform for monitoring or delegating to other connected tools.

1. Kovair Docker Integration Datasheet
Kovair Docker Integration Datasheet
A SNEAK PEAK
‘Kovair Docker Integration
Adapter’ simplifies application
deployment and delivery by
exposing data of related artefacts
from Docker, which can be
monitored, utilized for report
generation, and managing the
continuous delivery pipeline.
KEY FEATURES
❖ Detect issues and troubles at
an early stage to avoid risks at
production level.
❖ Changes and upgrades can be
done safely as the whole
environment is tracked.
❖ Refine applications for better
performance and robustness.
❖ Collect, Process, Aggregate
and delegate information
related to the running
containers.
OVERVIEW
Docker is a set of coupled software-as-a-service and platform-as-a-service
products that use operating-system-level virtualization to develop and deliver
software in packages called containers.
Kovair Docker Integration Adapter
Monitoring and Managing continuous application deployment and delivery is an
important step towards increased business values.
Kovair adapter for Docker, is designed to deploy and capture data generated from
Docker environment. For an existing connected Docker environment when new
Volume, Image, and Network related to a Container are introduced or changed
the data are track back to Omnibus platform for monitoring or delegating to other
connected tools.
Benefits of Using Kovair Docker Adapter
• Monitoring of Docker Related Artefacts from Kovair ALM
Studio: The primary objective of this integration is to collect Docker
metrics about all the containers. In order to get as much efficiency
out of Docker as possible, we need to track Docker metrics.
Monitoring metrics is also important for troubleshooting problems.
Services Supported in Kovair Docker Adapter
Exposed
Entities
Supported
Events
Exposed
Relations
❖ Image
❖ Container
❖ Volume
❖ Network
❖ Supports
basic events
like Add, Edit,
and Delete.
❖ Container to
Image
❖ Container to
Volume
❖ Container to
Network
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2. Kovair Docker Integration Datasheet
Kovair Docker Integration Datasheet
SystemRequirements
❖ Operating Systems: Windows
Server 2008 R2 SP1+ or
higher.
❖ Databases: SQL Server 2008
R2 and above for Adapter
Database.
❖ IIS: IIS 7.0 or higher.
❖ .Net Framework: 4.6 or
higher on Adapter Server.
❖ Connectivity with Docker
Instance.
❖ Connectivity with Docker
database.
Supported Features
Entity Name Supported Field Type
System System Fields
Use Case Scenarios with Kovair Docker Adapter
Let us consider a typical use case scenario where the Kovair Docker adapter is integrated with Docker and
other ALM tools with the help of Kovair Omnibus platform.
1. Pushing a commit to GitHub triggers GitHub to use a webhook for notifying Jenkins of the
update.

3. Kovair Docker Integration Datasheet
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Kovair Azure DevOps Integration Datasheet
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2. Jenkins pulls the GitHub repository, including the Dockerfile describing the image, as well as the
application and test code.
3. This is followed by building a Docker Image on the Jenkins slave node.
4. Jenkins instantiates the Docker container on the slave node and executes the appropriate tests.
5. If the tests are successful, the image is then pushed up the Docker registry.
6. If Kovair ALM Studio is integrated to Docker using Kovair Omnibus and Kovair adapter for Kovair ALM
Studio, then data related to the Docker will get exposed in Kovair Omnibus. Based on the configuration
set, the data will get automatically synchronized to Kovair ALM Studio.
7. User monitor and manage the data directly from Kovair ALM Studio. In addition, they can also initiate,
end or kill an operation directly from Kovair ALM Studio with the help of the adapter. Functionality like
“Create Container and Image” will be managed by Jenkins Docker plugin based on Dockerfile.
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