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Octopus Deploy provides the most value when it is used by your whole team. Developers and testers might be allowed to deploy specific projects to pre-production environments, but not production environments. Stakeholders might be permitted to view certain projects, but not modify or deploy them. Octopus permissions can be configured in several different ways. There are user roles, service accounts and teams. Users use AD credentials to access Octopus. are API-only accounts that should be used for automated services that integrate with Octopus Deploy

Octopus permissions can be configured in several different ways. There are user roles, service accounts and teams. Users use AD credentials to access Octopus. I tried auto-creating an environment with the same name as the machine when we auto-register the machine. This gives us the flexibility to run deployments in parallel without any queuing, but give us problems when we try to set up permissions. are API-only accounts that should be used for automated services that integrate with Octopus Deploy, and can only authenticate with an A team is a group of users, and being a member of a team gives those users certain roles, which can be scoped. Team members can be granted many different roles like “Project Viewer”, “Project Deployer”, etc.

Dotnet core features
We’re still working on a better solution. the issue of running out of disk space isn’t resolved entirely. Migrate current Octopus instance to a high Availability setup. This is already in progress. DB is set up, 2 Octopus nodes are installed, NAS storage share is ready. Since our goal is to give members of the Developers team the ability to create and deploy releases in the Development and Staging environments only, we can click Include user role again, this time adding the Project lead role. Just waiting on IT to provide the load balancing configuration. The taskLogs, artifacts and packages have been moved to the NAS share which did free up some of the storage space on the Octopus server. The main thing that is causing the disk usage to grow is the server’s package cache files. These files are stored on the local Octopus server and get created when Octopus accesses a nuget from one of it’s configured nuget feeds.

We’re still working on a better solution. the issue of running out of disk space isn’t resolved entirely. Migrate current Octopus instance to a high Availability setup. This is already in progress. DB is set up, 2 Octopus nodes are installed, NAS storage share is ready. Just waiting on IT to provide the load balancing configuration. The taskLogs, artifacts and packages have been moved to the NAS share which did free up some of the storage space on the Octopus server. The Incident/SR tab allows to consult the user’s history in relation to incidents and service requests. This tab shows the requests related to the user. Hence, it is important to consult this information when updating requests or creating new ones, to avoid duplication. The main thing that is causing the disk usage to grow is the server’s package cache files. These files are stored on the local Octopus server and get created when Octopus accesses a nuget from one of it’s configured nuget feeds.

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Just waiting on IT to provide the load balancing configuration
The main thing that is causing the disk usage to grow is the server’s package cache files.
These files are stored on the local Octopus server and get created when Octopus accesses a nuget from one

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