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Use cases
Self-serve modelMove to IaCLower the learning curveStandardize IaCYour Disaster Recovery strategy
Features
Smart cloud designer
The power of design combined with the flexibility of code
Terraform and OpenTofu
Terraform & OpenTofu modules
Central & single source of truth of your private, public and/or community modules.
GitOps workflow
Smoothly connect your cloud infrastructure with your git repository.
Drift detection and remediation
Monitor and maintain control of any drift between your source of truth and your cloud provider.
Synchronized architectures
Eliminate drift between your environments (dev, QA, staging, prod…).
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Cloud architectures
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Use cases

  • Self-serve model
  • Move to IaC
  • Lower the learning curve
  • Standardize IaC

Features

  • Smart cloud designer
    The power of design combined with the flexibility of code
  • Terraform and OpenTofu
    Terraform & OpenTofu modules
    Central & single source of truth of your private, public and/or community modules.
  • GitOps workflow
    Smoothly connect your cloud infrastructure with your git repository.
  • Drift detection and remediation
    Monitor and maintain control of any drift between your source of truth and your cloud provider.
  • Synchronized architectures
    Eliminate drift between your environments (dev, QA, staging, prod…)

Resources

  • Cloud architectures
  • Security portal
  • Blog
  • Webinar
  • Changelog

Docs

Pricing

Contact us

Use Cases
Lower the learning curve

Lower the IaC learning curve

You don’t need to learn everything at once. Learn by doing.
Shift left
Learning
Velocity
Collaboration
CHALLENGE

Lower the IaC & Terraform learning curve.

One of the main challenges of the IT industry in general and specifically in the cloud is the lack of engineers, especially skilled ones.

Adding to that, the fast-growing technologies, cloud services and tooling that make it even harder to cloud architect, DevOps and platform engineers to keep up.

On the other hand, the business cares about outcomes, which put more pressure on teams to deliver on time. This usually reduces the time allowed for engineers to explore & learn new solutions or improve their existing processes.

When we look closely at what is needed to build and maintain a cloud infrastructure, it becomes clear that the learning curve is high as engineers need to learn:

  • Terraform, it could be easy, but it takes time to reach a good velocity
  • CI/CD, the biggest part here is maintenance and how to make sure that the deployment factory is always running in good conditions
  • Best practices for both Terraform & IaC. This is extremely important to be able to scale the infrastructure and secure it the right way.
  • Different tools used for security, compliance, cost optimization…

For managers, the biggest question is: Do you hire new engineers who are expert on IaC or train your existing team?

  • Hiring takes a few months, and once engineers hired, they need time to get up to speed.
  • Training the team, is time-consuming and may decrease the velocity, even if the return is much more important.

So, how do you solve this puzzle?

SOLUTION

Use Brainboard to lower the learning curve for engineers. No one is left behind.

Brainboard has been designed and optimized with AI to make help engineers go fast while guiding them building their cloud infrastructure:

  • The smart cloud designer guides engineers with an implicit validations and corrections.
  • AI-powered configuration menu: When engineers configure the parameters of their resources, Brainboard auto-suggests, based on the knowledge and the context of the parameter, what is the most accurate value to fill in.
  • Different control levels: Before deploying the infrastructure, engineers can leverage the different controls that Brainboard offers to make sure the design & code comply with security, internal policies and the budget.
  • Short feedback loop: With the embedded and visual CI/CD engine, engineers can know as fast as possible what is wrong with their configuration, and they are guided on how to fix it.
  • Quick access to the right documentation.
  • Build with AI: Engineers can prompt Brainboard with a natural language for the cloud infrastructure. Brainboard will then build both the design and the code in an automated way.
  • Share the knowledge internally: Brainboard is a central place where senior engineers can help juniors or other teams in a scalable way and work with them collaboratively. No one is left behind

More use cases

Use case
Standardize IaC

Give your users a reason to follow your guidelines

Use case
Self-serve model

Build your internal service catalog to easily provision on-demand infrastructure

Use case
Move to IaC

The easiest way to move to IaC: Brainboard one click migration.

Use case
Your Disaster Recovery strategy

Systems fail, all the time. Plan ahead and protect against the unknown today!

It’s up to you now to build great things.

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Brainboard cloud designer logo

Brainboard is an AI driven platform to visually design and manage cloud infrastructure, collaboratively.

It's the only solution that automatically generates IaC code for any cloud provider, with an embedded CI/CD.

Available on:
AWS partner BrainboardAzure partner Brainboard
Backed by:
Y combinator startupMoonfire investmentKima venturesEvolem investment US

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