BMC AMI DevX is an integrated software platform that provides mainframe development teams with modern Application Development and DevOps capabilities. The solution connects traditional mainframe environments with contemporary development practices through components for source code management, testing, debugging, and analytics.
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HashiCorp Terraform
Score 8.5 out of 10
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Terraform from HashiCorp is a cloud infrastructure automation tool that enables users to create, change, and improve production infrastructure, and it allows infrastructure to be expressed as code. It codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned. It is available Open Source, and via Cloud and Self-Hosted editions.
The names may have changed over the years, but anyone who has been around for a while will recognize them. For Software Configuration Management, I have used TSO/ISPF/SCLM, Panvalet, ChangeMan, Librarian, Endevor, and now Code Pipeline. All of them met the basic requirements. …
Optim is more user friendly in how it operates, in my opinion. It's less obtuse to figure out how to extract and mask the data required compared to File-AID. Further, Optim is easier to gather related tables, by far. I do prefer using File-AID via the Topaz GUI much more than …
Dbt was fine, but you end up with an extremely bloated repo/project. Often where all of the models are the same, named similarly, and generally just doesn't adhere to the concept of DRY coding. In Terraform we're able to template a lot of this work and dynamically generate …
HashiCorp Terraform is much better than Cloud Formation. For one, the language is just easier to use, but more importantly, the provider ecosystem is much better in HashiCorp Terraform than in Cloud Formation.
I'm beginning to look at Pulumi. In my opinion, it looks like it would be a good replacement for HashiCorp Terraform, and it has the advantage of configuration via scripting, rather than via HCL, which is HashiCorp Terraform configuration markup language. In my opinion, the …
We have used Vagrant to develop our application in a virtual box environment and prepare it to be packed with Packer. The image created from these two tools will be deployed by Terraform.
We are using Consul for service discovery and as a job locking so we don't have two jobs or …
CloudFormation is only for AWS so if you're trying to deploy to another cloud provider then Terraform is your product. Terraform has lots of public support so you can find answers to questions by Googling. CloudFormation is easy to view the resources/services that are …
Terraform is a large step ahead of the previous generation of infrastructure-as-code providers. I'd never go back to, e.g. Puppet or Chef, Ansible, etc. That said I think that Pulumi has a good chance of displaying it, in no small part because the Terraform language itself …
AWS CloudFormation is better if you just want to stick with AWS because it's integration with AWS is better, provides auto-rollback in case of failures, and has GUI to manage and view the stacks built. Terraform is better when we want to stay cloud-agnostic. Terraform is better …
I can't find these applications listed, but other IaC tools I have used include: AWS CloudFormation, Azure Resource Manager Templates, and GCP Cloud Deployment Templates. For a comparable tool, I have the most experience with CloudFormation.
Chef and Terraform are not apples to apples because Chef is more focused on config management, whereas Terraform is more focused on provisioning. However, I can say that where they do overlap in configuration management is that Terraform is the preferred tool because it has an …
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 …
Terraform is open source and has strong community support. It is cloud-agnostic versus competing products like AWS cloud formation, hence has a distinct advantage. The scripts once set up are easy for developers to administer during development, hence during production …
- Terraform syntax is much easier to read and learn than Cloud Formation.
- Terraform already supports AWS as well as several other cloud providers.
- Terraform is backed by a great and supportive open-source community.
Terraform shares the methodology of creating configuration files for your infrastructure with tools like CloudFormation. However, Terraform is cloud-agnostic unlike CloudFormation which is AWS specific. Terraform can be used to maintain AWS and OpenStack clusters …
CloudFormation is the lingua franca of AWS. You certainly can't go wrong using it, but I like the syntax and open-source nature of Terraform. That's mostly a personal preference. I have not tried any other non-Amazon tools for provisioning AWS. And, of course, the AWS tools …
I love these tools! However, my company has not yet transitioned from SCLM to a modern repository, and this is causing most of our developers to remain within TSO for all their development. It's been a slow adoption up to this point, but we are moving toward more modernization this year and next, so with any luck, we'll see usage pick up. Success depends on the speed at which your management is willing to move.
8 because it's currently best-in-class and is completely essential to use in contrast to not expressing your infrastructure as code. That said, new contenders are nipping at its heels, and I expect stronger tools to emerge in the coming years. Hopefully the Terraform team is able to keep pace.
Code Pipeline: integration of MF and non-MF type of object (COBOL, Java, zosconnect...). Deployment of objects coming from inside and outside the mainframe in the same way.
Workbench for Eclipse: a must-have for working with Code Pipeline and the mainframe in the development context.
Workbench for VS Code: They started developing VSCode, and the plugin works very well. There are a lot of things to add, but it's still very good. Young developers like it!
The errors generated by the plan and preview commands are pretty cryptic, it can be hard for newcomers to the scripting language to understand how to address problems.
Access controls around workspaces is limited which makes it harder to secure reduce the scope of teams ability.
Analytics around user usage, applies and plans would be helpful for managemenet.
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.
Support has been amazing compared to Optim. Further, new features are very regular with File-AID - I can't remember the last time Optim had a significant update. File-AID support is very receptive to feature requests and reported bugs, including sending out hotfixes quickly.
Terraform is community driven but does offer support for it's Enterprise product. When contacting the team at HashiCorp we have always gotten resolution to our issues. They have been very responsive in returning our calls and answering our questions as they come up. We are currently using the open source model.
The names may have changed over the years, but anyone who has been around for a while will recognize them. For Software Configuration Management, I have used TSO/ISPF/SCLM, Panvalet, ChangeMan, Librarian, Endevor, and now Code Pipeline. All of them met the basic requirements. All of them had their advantages and disadvantages. Code Pipeline, however, stands head and shoulders above the rest in simplicity, completeness, effectiveness, efficiency, and elegance.
dbt was fine, but you end up with an extremely bloated repo/project. Often where all of the models are the same, named similarly, and generally just doesn't adhere to the concept of DRY coding. In Terraform we're able to template a lot of this work and dynamically generate assets based on variables instead.
I can debug (expeditor) much faster and more efficiently. In fact, I was asked yesterday to run their job through Workbench Expeditor. I can also view data movement much better.
Code analysis lets me give a quicker explanation of what a program may do, as it provides a graphical interface showing processing and data movement.
Using code, we are able to build and deploy cloud resources faster and more consistently than producing the same resources in the console manually.
For applications that share architectures, we can reuse code to expedite development. We can also do the same with modules that are shared across the organization.
By defining all of our resources as code, we can deploy complete environments with "batteries included." For example, we can use code that spins up servers in a cloud provider and at the same time, creates monitors with in our monitoring provider. Likewise, when the servers are decommissioned, the monitors are decommed along with them. In the past, the creation and decom of the monitors would have been a disjointed, manual step. With Terraform we get it all with one "terraform apply."