DevOps-in-a-Box
From Code to Cloud
in Under an Hour
Multi-cloud automation platform that eliminates DevOps bottlenecks. Deploy infrastructure and backend services in minutes—no scripts, no waiting, no dedicated ops team required.
100 automation minutes, no credit card required
Open Source Foundation
Zero Vendor Lock-In
Multi-Cloud Support
Infra Hub
VPC Created
Load Balancer
ECR Registry
Service Hub
Build: Success
Push: Complete
Deploy: Running
The DevOps Bottleneck Is Killing Your Velocity
Whether you're a consulting firm, startup, or established team—infrastructure delays slow everyone down. Planton eliminates the wait.
IT Consulting Firms
Problem
New client projects delayed by infrastructure setup
Impact
Non-billable days before developers can iterate on actual product features
Solution with Planton
<1 hour environment deployment
Developers self-onboard services
Multiple environments (dev, QA, staging, prod) in minutes
5x
Faster than manual cloud console work
Startups & Small Product Companies
Problem
Can't afford dedicated DevOps engineers
Impact
$150K+/year overhead for basic operations—or bottlenecked on technical founders
Solution with Planton
$20/dev/month + usage pricing
Platform replaces ops team for core workflows
Self-service infrastructure and CI/CD
1/10th
The cost of hiring a DevOps engineer
Established Teams
Problem
Snowflake infrastructure, compliance nightmares, visibility gaps
Impact
Audit failures, security incidents, hours wasted troubleshooting "who changed what"
Solution with Planton
Standardized, repeatable deployments
Full change tracking and audit logs
Compliance-ready security controls
100%
Visibility into every infrastructure change
Infrastructure Deployment Without the Wait
Replaces Terraform Enterprise, Pulumi Cloud, and manual cloud console work
Infrastructure Pipelines That Just Work
No GitHub Actions to write. No Terraform state buckets to configure. No manual deployments through cloud consoles. Connect your cloud account and start deploying infrastructure through simple forms or CLI commands.
Live Terraform plan/apply visualization
Watch your infrastructure come to life in real-time
5-10 minute deployments
vs weeks of manual cloud console work
Version history and rollback
Every change tracked, easily reversible
Multi-cloud consistency
Same workflow whether you're on AWS, GCP, or Azure
Terraform Deployment Progress
✓ aws_vpc.main: Creation complete
✓ aws_subnet.public[0]: Creation complete
✓ aws_subnet.public[1]: Creation complete
⟳ aws_lb.main: Creating...
○ aws_lb_listener.https: Pending
Progress
3/5 resources
AWS ECS Environment Chart
VPC with proper subnets and routing
Route53 DNS zone for your domain
ECR container registry for images
SSL/TLS certificates via Certificate Manager
Application Load Balancer with listeners
Security groups with proper ingress/egress rules
✨ DAG orchestrates deployment order automatically
Stop Assembling Lego Blocks—Deploy Complete Environments
Deploying infrastructure piece-by-piece is tedious and error-prone. VPC first, then Route53, then ECR, then certificates, then load balancers... each waiting for the previous to complete. Infra Charts eliminate this pain.
Inspired by Kubernetes Helm Charts, Infra Charts bundle related infrastructure components into a single deployable unit. Fill out one form, click deploy, and the platform orchestrates everything in the correct order via DAG (Directed Acyclic Graph).
You describe what you want. The platform figures out the how.
20% of Cloud Services Used 80% of the Time—All Pre-Modeled
Stop reinventing the wheel. Browse our carefully crafted deployment components for the most common cloud resources:
AWS
GCP
Azure
All Open Source in the Project Planton repository
"iorta TechNext deployed a complete AWS ECS environment for their SalesVerse product in under 1 hour—with 7 developers managing everything themselves. Previously, this would have required a dedicated DevOps engineer and taken at least a couple weeks of work."
— Customer Result
Vercel for Backend—In YOUR Cloud
Connect Git repo → Automatic pipelines → Multi-cloud deployment
Vercel nailed the developer experience for frontend deployments. Service Hub brings that same magic to backend services—with one critical difference: everything runs in YOUR cloud account. You keep full infrastructure control and visibility.
Writing Dockerfiles (unless you want control—then it's optional)
Configuring GitHub Actions or GitLab CI
Managing container registries manually
Orchestrating deployments across environments
Automatic pipeline creation on every commit
Built-in Docker image building and registry pushes
Live logs and deployment progress
Multi-environment support (dev, QA, staging, prod)
Same Developer Experience—Any Cloud, Any Target
Deploy to any platform. The Service Hub experience stays identical. No vendor lock-in. No relearning workflows when you switch clouds.
AWS ECS
Container services without Kubernetes complexity
✦ iorta TechNext deploys SalesVerse here
AWS EKS
Full Kubernetes power when you need it
GCP Cloud Run
Serverless containers that scale to zero
✦ Odwen deploys here
Azure Cloud Functions
Event-driven serverless compute
Cloudflare Workers
Edge compute for global performance
Start on AWS ECS for simplicity. Migrate to GCP Cloud Run for cost optimization. Deploy to Cloudflare Workers for edge use cases. Same code, same platform, zero refactoring.
From Commit to Deployment—Fully Automated
Every commit triggers an automated pipeline that handles the entire journey from code to running service.
Pipeline Flow:
- • Every commit triggers a new pipeline run
- • Live logs stream in real-time
- • Deployment status visible at a glance
- • Failed builds? Logs tell you exactly why
- • Rollback to previous version with one click
Traditional Alternative: Setting up this same workflow manually with Jenkins, GitHub Actions, or GitLab Pipelines typically takes several days to weeks of DevOps work.
Pipeline #247
Commit Pushed
0s
Build Started
5s
Docker Build
45s
Push to Registry
1m 20s
Deploy to ECS
2m 10s
Health Check
—
"Developers self-onboard their own services. That's a huge win."
— Tynybay consulting, deploying the Odwen warehousing platform
Context: 3-person team (1 DevOps engineer, 2 developers). Infrastructure setup: <1 hour. Developers now onboard services independently without blocking on DevOps. Multiple environments (QA, staging, prod) managed through simple UI.
Built on Open Standards: Works With Your Existing Tooling
GitHub, Terraform, Pulumi, Tekton—Planton integrates with what you already use, no proprietary replacements required.
GitHub & GitLab Native
Connect your GitHub or GitLab organization via OAuth. No need to migrate repositories or change your branching strategy. Planton integrates with your existing Git workflows— pull requests, branch protection, code reviews—everything stays the same.
GitHub repositories (public and private)
GitLab repositories (self-hosted and GitLab.com)
GitHub Actions (if you want to keep using them)
GitLab CI (side-by-side with Planton pipelines)
Git Integration
Connected to GitHub
ActiveIaC Framework Support
Terraform
Pulumi
Use UI for simple deployments, CLI for complex orchestration
Terraform & Pulumi First-Class
Planton supports both Terraform and Pulumi as first-class infrastructure-as-code frameworks. All deployment components are available in both formats, and you can mix and match based on your team's preferences.
Every Terraform module in the Project Planton repository
Every Pulumi component (TypeScript, Python, Go)
CLI tools for local development and testing
Schema definitions and validation rules
Tekton-Powered CI/CD
Service Hub is powered by Tekton, the CNCF graduated project for Kubernetes-native CI/CD. Planton provides transparent access to customize and extend your pipelines—no proprietary abstractions hiding the underlying technology.
Cloud-native
Runs on Kubernetes, scales automatically
Portable
Your pipelines work anywhere Kubernetes runs
Extensible
Rich catalog of community tasks and integrations
Battle-tested
Used by Google Cloud Build, Red Hat OpenShift Pipelines
Transparency: Planton publishes all Tekton pipeline definitions openly. Audit, fork, and customize them. No black boxes, no vendor lock-in.
Why Open Standards Matter
⚠️ w/ Vendor Lock-In Risk
Proprietary pipeline formats
Custom IaC languages
Migration costs in engineer-months
Closed-source implementations
✓ w/ Planton
Standard Terraform/Pulumi/Tekton workflows
All code public and auditable
Migration costs measured in hours
Works with your existing tools (kubectl, terraform, git)
The Promise
Use Planton because it accelerates your team—not because you're locked in. Every abstraction Planton provides has a standard alternative underneath.
Your Infrastructure, Your Code, Your Freedom
Project Planton - All deployment components publicly available. No vendor lock-in, ever.
Most DevOps platforms are black boxes. You trust them with your infrastructure, but you can't audit how they work. You're locked in—switching costs are prohibitive. Planton is different. Everything is transparent. Everything is portable. Your infrastructure, your rules.
Audit Every Line of Infrastructure Code
Every Terraform module and Pulumi component used by Planton lives in the public Project Planton repository. Want to know exactly what IAM permissions the AWS ALB deployment requires? Read the code. Concerned about security groups? Audit the Terraform files yourself.
What's Open Source
All Terraform modules for every deployment component
All Pulumi implementations (alternative IaC framework)
CLI tools for local infrastructure management
Deployment component schemas and validation rules
View on GitHub →
Security audits
Your team or third-party auditors can verify everything
Compliance requirements
Prove to regulators exactly what's deployed and how
Learning and contribution
Understand best practices, contribute improvements
No surprises
No hidden infrastructure, no mystery permissions
Outgrow Planton? Take Your Infrastructure With You
Unlike proprietary platforms that trap you in their ecosystem, Planton is designed for portability. If you outgrow the platform, get acquired, or decide to hire an in-house DevOps team—your infrastructure investment comes with you.
1
Export Your Configurations
One API call exports all your infrastructure configurations as YAML manifests: deployment component specs, environment configurations, service definitions, complete infrastructure-as-code.
2
Use the Open Source CLI
The Project Planton CLI is independent of the proprietary platform. Install it anywhere.
3
Manage Independently
Continue managing your infrastructure using the same YAML manifests. Run project-planton pulumi up directly from your CI/CD, integrate with GitHub Actions, GitLab CI, or Jenkins.
4
Gradual or Immediate Transition
Run Planton platform AND independent CLI simultaneously. Zero downtime transition. Planton helps you migrate successfully (Build, Operate, Transfer model).
The Promise
Use Planton because it's the best platform for your needs—not because switching is too expensive.
AI That Actually Works for DevOps
Specialized agents, not generic copilots. Deterministic outputs, not 80% accuracy.
🎯The Copilot Experiment That Failed
Planton spent 8 months building a generic AI copilot for DevOps. It hallucinated constantly. Customers were hesitant to use it for production because accuracy wasn't good enough. DevOps requires deterministic outputs—if you're creating or destroying a database, 80% accuracy isn't acceptable.
✨The Pivot
Learning from Cursor's success, Planton rebuilt the AI layer from scratch as "Agent Fleet"—specialized agents for specific DevOps tasks combined with real tooling, deep context, and narrow scope. Not a one-size-fits-all chatbot.
Not a Generic Copilot—Agentic Architecture
These aren't chatbots with fancy prompts. They're agents with real capabilities. Narrow scope = higher accuracy = production-ready.
💻
Terminal access
Run commands, inspect logs, analyze configurations
📁
Repository operations
Clone repos, read code, understand context
☁️
Cloud API integration
Query AWS, GCP, Azure for real-time resource state
🔗
Platform awareness
Full context of your Planton infrastructure and services
Technology: MCP (Model Context Protocol) servers for AWS, GitHub, and Planton. Specialized tooling for each domain. Context-aware LLMs that understand your specific infrastructure.
Current Agents (Beta)
Pipeline Manager
Troubleshoots CI/CD pipeline failures—whether they're due to Docker build errors, deployment misconfigurations, or code issues.
Capabilities
• Analyzes build logs to identify root cause
• Understands Tekton, GitHub Actions, and GitLab CI configurations
• Can clone your repository to inspect Dockerfiles and code
• Suggests fixes based on actual errors, not generic advice
Example
ERROR: failed to solve: process '/bin/sh -c npm install' did not complete successfully
1. Reads the full build log
2. Identifies the specific npm dependency causing the issue
3. Checks your package.json for compatibility problems
4. Suggests the fix: update Node.js version or pin dependency version
ECS Troubleshooter
Debugs AWS ECS service issues—task failures, networking problems, resource constraints.
Capabilities
• Integrates with AWS MCP server to query ECS task status
• Reads CloudWatch logs for your failed tasks
• Analyzes service event history
• Understands Planton service configurations and deployment history
Example
STOPPED (Essential container exited)
1. Queries ECS for task details via AWS API
2. Pulls CloudWatch logs for the stopped container
3. Identifies exit code and error message
4. Cross-references with your service configuration
5. Suggests fix: increase memory limit or fix application crash
Coming Soon
Kubernetes Diagnostics Agent
• Pod crash loops
• Resource quotas
• Network policy debugging
Database Performance Agent
• Slow query analysis
• Connection pool optimization
• Index recommendations
Security Scanner Agent
• Infrastructure misconfigurations
• Compliance violations
• Overly permissive IAM roles
Customer Results
See how teams use Planton to accelerate delivery and eliminate ops bottlenecks.
Tynybay→ Odwen
IT Consulting Firm • Online warehousing platform
The Challenge
Tight timeline to deliver a working warehousing platform for their client. Infrastructure setup was blocking developers from making progress on product features.
⏱️ Before Planton
• DevOps engineer spent at least a couple weeks setting up GCP Cloud Run environment
• Developers waited for infrastructure before writing code
• Each new environment (QA, staging, prod) required manual replication
• Service onboarding required DevOps engineer involvement
🚀 With Planton
Infrastructure deployment: <1 hour for complete GCP Cloud Run environment
Developer autonomy: Developers self-onboard services without blocking on DevOps
Multi-environment: QA, staging, and prod environments created in minutes
Ongoing velocity: Developers manage their own deployments through Service Hub
"Developers self-onboard their own services. That's a huge win."
— Tynybay
Result: The DevOps engineer now focuses on architecture and optimization—not repetitive environment setup and service deployments.
iorta TechNext→ SalesVerse
via Tynybay consulting • Sales cycle management platform
The Challenge
Small team building a sales management platform without dedicated DevOps resources. Needed secure, compliant infrastructure without the overhead of hiring ops specialists.
⏱️ Before Planton
• Technical founder managing infrastructure manually through AWS Console
• Inconsistent deployments across environments
• Limited visibility into what changed and when
• Slow iteration due to infrastructure being a bottleneck
🚀 With Planton
Complete self-service: 7 developers manage all infrastructure and deployments
Highest platform usage among all Planton customers (most active account)
No dedicated DevOps hire needed - $150K+/year savings
Full audit trail - Every infrastructure change tracked for compliance
💰 The Economics
$140/month (7 × $20/dev)
Subscription
~$310/month (automation minutes)
Usage
~$450/month
Total
96%
Cost Reduction
vs $150K+/year for DevOps engineer
Result: iorta TechNext gets enterprise-grade DevOps capabilities at 1/30th the cost of hiring. Team focuses on product, not infrastructure.
<1 hour
Infrastructure Deployment Time
(vs couple weeks manually)
100%
Customer Retention
5x
Faster Than Manual Work
$20
/developer/month to start
Simple, Usage-Based Pricing
Pay for what you use. Start free. Scale as you grow. No hidden costs.
Seat-Based Subscription
$20
per developer / month
Automation Minutes
$0.006
per minute (0.6¢/min)
Metered separately for infrastructure runners and service CI/CD runners, but charged at the same rate.
iorta TechNext
Team Size:
7 developers
Monthly Spend:
~$450 (platform + usage)
What They Get
Complete infrastructure management (AWS ECS environment for SalesVerse)
Automated CI/CD for all services
Multi-environment deployments (dev, QA, staging, prod)
24/7 support access
Full audit trail for compliance
Alternative Cost
$150K+/year
= $12,500/month for DevOps engineer
Savings
$12,050
per month • 96% cost reduction
Built by DevOps Engineers, For Real-World Use
Not a theory. Not a prototype. A production platform born from 10+ years of solving infrastructure problems at scale.
🐕
Dogfooding: Planton Runs on Planton
We Don't Ask You to Trust Something We Don't Use: Planton's production infrastructure is 100% managed through Planton itself. Zero exceptions.
10+ database types
ClickHouse, Redis, Postgres, MongoDB, and more
Deployment target
Google Cloud Platform (multi-region)
Orchestration
All databases run on Kubernetes, deployed via Planton
Service Hub
All backend services deployed through Planton pipelines (Tekton)
Zero manual deployments
Everything through the platform or CLI
Planton Infrastructure (Meta)
Databases (10+ types)
Kubernetes Clusters
Backend Services
✨ Every feature we ship, we use ourselves
🌍24/7 Support Capability
Distributed team across time zones ensures customer issues get addressed around the clock—not just business hours.
🤝Customer Success Focus
100% retention rate didn't happen by accident. We iterate rapidly on customer feedback and treat early adopters as partners, not just users.
Engineering Philosophy
🎯
Grounded in Reality
Planton solves real problems experienced by DevOps engineers—no hype, no theoretical solutions.
📋
Customer-Driven Roadmap
Features are prioritized based on actual customer requests from paying users—not hypothetical use cases.
🚀
Iterate Fast, Break Nothing
Platform stability is non-negotiable. New features ship to beta first, then roll out gradually.
🔓
Open by Default
All deployment components open source. Transparent about how things work. No black boxes.
Secure by Design
Multiple security models and scoped permissions— because trust is earned, not assumed.
Deployment Runner Security Models
You Choose Your Security Posture. Start simple, upgrade to more secure models as your requirements grow.
🔑
Basic
AWS Access Keys
Provide AWS access key and secret key. Planton-hosted runners use these credentials.
Security
Credentials encrypted at rest
Stored in Google Secret Manager
Never logged or exposed
Rotatable anytime
Best For
Development environments, initial platform evaluation, non-production workloads
🔗
Intermediate
Trust Relationship - AWS Assume Role
Configure cross-account trust policy. Planton assumes a role with time-limited credentials.
Security
No long-lived credentials stored
Temporary session tokens
Trust policy controls access
Revocable instantly
Best For
Production environments, compliance requirements (HIPAA, SOC 2)
🏠
Maximum
Customer-Hosted Runner
Deploy planton-deployer Docker image in YOUR AWS account. All operations run within your boundary.
Security
Credentials never leave your account
You control IAM role
You control network
Runner code auditable
Best For
Maximum security, zero-trust environments, regulated industries
🔒Scoped Permissions: Least Privilege by Design
No Blanket Admin Required: Planton never asks for AdministratorAccess or wildcard permissions. Every deployment component specifies exact IAM permissions needed.
Audit the Terraform Code: All components are open source. Read exact resources being created.
Generate Scoped IAM Policy: Each component includes documented IAM permissions.
Combine for Your Stack: Deploying VPC + ALB + ECR? Combine policies for each component.
Security teams can audit exact permissions before granting access.
{
"Effect": "Allow",
"Action": [
"elasticloadbalancing:Create*"
"elasticloadbalancing:Describe*"
"elasticloadbalancing:Modify*"
]
}
"Developers self-onboard their own services. That's a huge win."
— Tynybay, deploying Odwen warehousing platform
"Complete AWS ECS environment deployed in under 1 hour with 7 developers managing everything themselves."
— iorta TechNext, SalesVerse platform
Connect with us:
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