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Build the golden path. Get out of the way.

Platform teams shouldn't be the deployment bottleneck. DeployTitan gives you a single control plane to define deployment policies, enforce SLO guardrails, and let product teams self-serve safely across every cloud and cluster.

How it works

Platform team writes policy once. Every team ships safely, forever.

Step 01

Platform team

Write policy in HCL

Defines allowed strategies, max risk scores, and auto-rollback rules per service tier. Committed to your IaC repo.

Step 02

Engineer

Run dt deploy

One CLI command. No cloud console, no Slack approvals, no ticket queue. The same command works on GKE, ECS, and Cloud Run.

Step 03

Titan Foresight

Enforce at deploy time

Scores the PR against live dependency graph and SLO budget. Blocks, soft-blocks, or proceeds based on the policy you wrote in step 01.

Step 04

Titan Ledger

Capture audit trail

Every deployment, rollback, and override logged with actor, timestamp, and policy version. One query covers every cloud.

Also included

IaC-nativeTerraform + Pulumi providers. Register services and define policies in the same repo as your infrastructure.
One CLI for every engineer`dt deploy` works regardless of cloud target. No per-cloud console access required.
Automated rollbackPhoenix triggers on SLO breach before on-call wakes up. Platform team is not the human circuit breaker.
Multi-cloud audit logGKE, ECS, Lambda, Cloud Run: one unified query surface. Compliance-ready out of the box.

IaC native

Register a service in your existing Terraform.

services.tf

resource "deploytitan_service" "checkout" {

name = "checkout-api"

environment = "production"

tier = "critical"

deploy_policy {

allowed_strategies = ["canary", "blue_green"]

max_risk_score = 70

auto_rollback = true

}

}

The status quo

What platform teams are stuck doing, instead of building.

Platform engineering teams spend most of their time as human circuit breakers instead of building the golden path they were hired to create.

Deployment ticket queue

Product teams open JIRA tickets for every production deploy. Platform team reviews, approves, and sometimes executes the deployment.

Failure mode

Platform team becomes the bottleneck. 2-day deploy queue. Product engineers stop shipping because the process is too slow.

Per-cloud console access

Different engineers have different console access across AWS, GCP, and Azure. Deployments require coordinating the right person with the right access.

Failure mode

No unified audit trail. Runbooks differ per cloud. New engineers need weeks of onboarding before they can deploy independently.

Slack-based approval flows

Deploys require a #deploy-approvals Slack thread with a thumbs-up from an SRE before proceeding. All manual, all async.

Failure mode

SREs spend 2+ hours/day reviewing deploys they don't fully understand. No programmatic enforcement; approvals get bypassed under pressure.

How we compare

DeployTitan vs. Backstage and DIY portals.

CapabilityDeployTitanBackstage (Spotify)Internal portal (DIY)
Policy-as-code enforcement~ (plugins)✗ (manual)
Unified multi-cloud audit log
Self-service with SLO guardrails
IaC-native (Terraform/Pulumi)~
Time to first golden path< 1 day2–6 months6–12 months

Build your golden path in a single afternoon.

We'll walk through policy-as-code setup, show you how product teams self-serve against your guardrails, and connect your existing Terraform, all in 20 minutes.

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