Control Plane forAgent Driven InfrastructureDesign + Cost
# Generated from canvas · last edit 2s ago
resource "aws_lb" "alb" {
name = "ib-alb"
load_balancer_type = "application"
subnets = module.networking.public_subnets
security_groups = [aws_security_group.web.id]
+ tags = local.default_tags
}
resource "aws_instance" "ib_test_server" {
ami = data.aws_ami.amazon_linux.id
instance_type = "t3.small"
subnet_id = module.networking.private_subnets[0]
vpc_security_group_ids = [aws_security_group.app.id]
+ tags = merge(local.default_tags, { role = "app" })
}Policy checks 5 passed
ib- enforcedPlan preview 2 add · 1 change
+ aws_lb.alb # create
+ aws_instance.ib_test_server # create
~ aws_security_group.web # ingress → 80/443
Plan: 2 to add, 1 to change, 0 to destroy.
Cost: +$37.10 / mo (within budget)Built into the platform. Not bolted on.
Inventory, insights, cost, and governance run continuously against your live cloud. The Workbench turns new design into reviewable IaC. One platform keeping both sides in sync.
Inventory
AWS, Azure, GCP, and Kubernetes — one live inventory, continuously scanned.
Insights
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Cost Center
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Governance
Policy-as-code — evaluated on the design and on the live cloud.
Every resource, every account, every cloud.
Unify your cloud inventory across multiple clouds, accounts, and SaaS tools (Bitbucket, Git, Okta, and more) in a single view. Monitor asset history and health at a glance.
- Auto-discovery across AWS, Azure, GCP and Kubernetes
- Live status: managed, drifted, unmanaged, ghosted
- Searchable inventory — slice by account, env, team, or tag
Cloud changes shouldn't be a leap of faith.
Terraform shows the diff. Infracost guesses the bill. Your policy engine says no, eventually. InfraBlaze folds all three into one canvas — so the full picture lands before the PR, not after.
Plan. Guess. Hope.
See the whole change — before the PR.
AI that knows your cloud in and out.
Specialized agents, embedded across every workflow.
A suite of specialized agents woven through InfraBlaze — continuously analyzing your inventory, codifying resources, remediating drift, and authoring policy. Grounded in your cloud, not pre-trained on it.
data-lake/buckets.tf · 86 LOC · tags inherited from stack defaults.#482 chore(data-lake): import prod bucketsGet an invite to the private beta.
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