ConfigCat vs. IBM Terraform

If you are looking for an experimentation/feature flag style tool that is quick to adopt and provides enough functionality for light/medium use cases, then this is the tool for you. Additionally, they are growing and expanding their functionality and feature set so they can grow alongside you and your needs. The publicly accessible roadmap is also a great benefit to see where time is being spent on which feature next.

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.

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• Fas, and easy to configure and get started.
• Accessible from everywhere (no more SSHing into the servers to change the configuration files).
• All environments are on the same management interface, allowing the ease of configuration changes deployment.

• Terraform is cloud agnostic. Just select the suitable provider for the cloud and it will do the job.
• Templating is possible to make the Terraform templates reusable.
• Variables can be created to make the templates generic so that it can be reused for different environments or resources.

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• No automatic push for flag changes - have to write our own webhooks
• No scheduling interface for flipping flags automatically on a schedule
• Interface is a bit cluttered for people who are just flipping flags

• 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.

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ConfigCat has done the job, and has been great to work with.

Still the best provisioning tool out there and good support from the community as well in terms of shared knowledge

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Just everything from the website to locating what i need (docs) specific to my platforms is super easy. Not to mention the support articles answering previous questions

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.

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.

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They have a community Slack channel that is open to anyone. They always seem to have people in there, even over the weekends and are always happy to answer any questions you have,

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.

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Implementation is straight forward. Never had issues as the team is already very familiar with Terraform installation from previous projects and roles

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At iBinder we searched for and vetted several suppliers of a feature toggle service to handle feature toggling in our production environment. In addition to our functional requirements, it was crucial for us to find a partner that could deliver an EU-compliant service. We finally decided to sign a service agreement with ConfigCat. This has been a real success story for us – in addition to being compliant, ConfigCat delivers an amazing, flexible, and reliable service. They continue to impress by also being very transparent and having a fantastic support and they are very solution oriented and accommodating when it comes to our feature requests etc. We have now used ConfigCat for approximately 2 years and we give our warmest recommendations to anyone who needs a stable, reliable and EU-compliant feature toggle service.

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.

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• Allowed us to migrate seamlessly from a major customer communication system to another, reducing end-user friction and production bugs by being able to turn features off if they didn't work as intended.
• We went from zero experimentation to running 10-20 experiments concurrently across systems. Engineering teams are thinking in an experimentation mindset.

• 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