Digital.ai (formerly CollabNet) aims to help enterprises and government organizations deliver high-quality software at speed with TeamForge, its application lifecycle management suite. According to the vendor, Digital.ai offers innovative solutions, provides consulting and Agile training services, supports more than 10,000 customers with 6 million users in 100 countries, and has been recognized for 13 consecutive years as SD Times 100 “Best in Show” winner in the…
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IBM Terraform
Score8.7 out of 10
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IBM Terraform (formerly Hashicorp Terraform) is a cloud infrastructure automation tool used to create, change, and improve production infrastructure, and it allows infrastructure to be expressed as code. It is available Open Source, and via Cloud and Self-Hosted editions.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
CollabNet TeamForge is more well-suited for technically knowledgeable users such as developers, systems analysts, QA but not for non-technical users due to the technical data used throughout the tool. CollabNet TeamForge is appropriate for most applications development. In any industry especially suited for high demand software delivery environments.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Anything that needs to be repeated en masse. Terraform is great at taking a template and have it be repeated across your estate. You can dynamically change the assets they're generating depending on certain variables. Which means though templated assets will all be similar, they're allowed to have unique properties about them. For example flattening JSON into tabular data and ensuring the flattening code is unique to the file's schema.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
I would like to see personalization for managing artifacts, that is, allowing the user to customize pages and save personalized settings and then save them as bookmarks.
I would like an improved subversion browser such as a graphical user interface rather than a basic file explorer.
I would like built in features for CollabNet TeamForge integrated with subversion so that i can associate my private code branches and code changes.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The language itself is a bit unusual and this makes it hard for new users to get onboarded into the codebase. While it's improving with later releases, basic concepts like "map an array of options into a set of configurations" or "apply this logic if a variable is specified" are possible but unnecessarily cumbersome.
The 'Terraform Plan' operation could be substantially more sophisticated. There are many situations where a Terraform file could never work but successfully passes the 'plan' phase only to fail during the 'apply' phase.
Environment migrations could be smoother. Renaming/refactoring files is a challenge because of the need to use 'Terraform mv' commands, etc.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
IBM
The syntax itself is pretty straightforward. The documentation is well-maintained & easy to follow. Most cloud providers, even smaller ones, maintain official provider libraries, making discovery & learning a breeze. Some, like GCP, even provide high-level libraries on top of their own more primitive provider, making building complex infra much more manageable. The language itself is cloud-agnostic, so you can literally manage resources from multiple providers in a single Terraform repo.
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
No answers on this topic
IBM
Terraform's performance is quite amazing when it comes to deployment of resources in AWS. Of course, the deployment times depend on various parameters like the number of resources to deploy and different regions to deploy. Terraform cannot control that. The only minor drawback probably shows up when a terraform job is terminated mid way. Then in many cases, time-consuming manual cleanup is required.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
They always answer the phone when we put a call in, any time. They have consistently sent out contractors when needed and were there every step of the way when we switched over from ClearCase to TeamForge years ago. The support is what you really pay for when you buy into TeamForge.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I have yet to have an opportunity to reach out directly to HashiCorp for support on Terraform. However, I have spent a great deal of time considering their documentation as I use the tool. This opinion is based solely on that. I find the Terraform documentation to have great breadth but lacking in depth in many areas. I appreciate that all of the tool's resources have an entry in the docs but often the examples are lacking. Often, the examples provided are very basic and prompt additional exploration. Also, the links in the documentation often link back to the same page where one might expect to be linked to a different source with additional information.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. TR verified that a representative sample of customers was invited. More Info
Digital.ai (formerly XebiaLabs, CollabNet VersionOne, and Arxan)
CollabNet TeamForge is superior to Mercury mainly because it has a subversion change management tool integrated with the product. CollabNet TeamForge offers more complexity but with more flexibility for managing and tracking projects. I think CollabNet TeamForge is more comprehensive than either Mercury and JIRA. They're all user friendly tools with short learning curves but CollabNet TeamForge is most efficient in my experience. JIRA was recently adopted for particular applications and is currently being evaluated by various technology teams.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Terraform is the solid leader in the space. It allows you to do more then just provisioning within a pre-existing servers. It is more extensible and has more providers available than it competitors. It is also open source and more adopted by the community then some of the other solutions that are available in the market place.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
we are able to deploy our infrastructure in a couple of ours in an automated and repeatable way, before this could take weeks if the work was done manually and was a lot of error prone.
having the state file, you can see a diff of what things have changed manually out side of Terraform which is a huge plus
if state file gets corrupted, it is very hard to debug or restore it without an impact or spending hours ..
writing big scale code can be very challenging and hard to be efficient so it's usable by the whole team
