Allstacks uses machine learning models to analyze SDLC data for delivery risks and projected outcomes for engineering leaders. The value stream intelligence platform illuminates insights across projects and tools so users can build better processes, create a better culture, and shape better outcomes for a business and its customers. Allstacks gathers and analyzes past work data and behavior from the tools a team is already using, like Jira, GitHub, and Bitbucket. The vendor states…
$400
per year per user
IBM DevOps Code ClearCase
Score 9.5 out of 10
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An enterprise-grade configuration management system that provides controlled access to software assets.
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IBM Terraform
Score 8.8 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.
One of the greatest feature of Allstacks is that it provides predictive analysis for the deployed software in case it will fail. It helps Software Developers a lot of time debugging the error and thus improves efficiency. Another great feature is that it uses historical work data and uses Machine Learning and AI to build predictive model.
IBM Rational ClearCase might be better suited for a smaller / simpler code base. Larger code bases really slow it down... but then again there are better alternatives out there for source control
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.
Rational ClearCase is excellent for handling versioning and branching. No other tool I've used has the depth that ClearCase has when it comes to handling complex branching scenarios and identifying where certain versions of particular files are within a particular configuration.
Rational ClearCase handles parallel development of many dependent applications really well.
The use of ClearCase Views to switch between projects and configurations is extremely convenient as opposed to the local workstation model of the competitors.
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.
I love Terraform and I think it has done some great things for people that are working to automate their provisioning processes and also for those that are in the process of moving to the cloud or managing cloud resources. There are some quirks to HCL that take a little bit of getting used to and give picking up Terraform a little bit of a learning curve, thus the rating
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.
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.
We combined a lot of tools, customized reports, and excel spreadsheets into a single perspective to demonstrate progress, efficiency, and trends in our delivery operations. Allstacks have all the things compared to any other tool in the market.
If development is centrallized to one location and your company releases hundreds of customized versions of your software per year, then ClearCase is the best tool for managing the complexity of multiple versions of customized software. If your company has globally distributed development, then I'd recommend Team Foundation Server over ClearCase. If your organization uses Agile Methodologies, then I'd recommend TFS with GIT.
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.
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
