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76score
GH · runatlantis/atlantis
Open-core SaaS subscription (free single-node, paid HA features)
Build

HA-Enabled Atlantis Fork with External DB & Object Storage

A fork of Atlantis that replaces BoltDB with PostgreSQL/MySQL and local filesystem plan storage with S3-compatible object storage, enabling true multi-node high availability. Distributed locking via Redis or database-level locks ensures safe concurrent operation. Offered as open-core: free single-node mode, paid HA features.

5 channels30-day mention trend: latest 1, peak 1, 30-day series
View on Reddit
Discovered Aug 31, 2026

Why this matters

You are a platform engineer at a growing company, responsible for the Terraform automation that dozens of developers rely on daily. Your Atlantis server is a single point of failure — when it goes down, nobody can plan or apply infrastructure changes. You tried setting up two nodes behind a load balancer with a shared Azure Files mount, but both nodes crashed with BoltDB lock errors. You tried EFS on AWS and hit the same wall. You discovered that Atlantis uses an embedded database that cannot be shared between processes, and plan files on the filesystem are not concurrency-safe. The maintainers confirmed multi-node support would require replacing the entire data layer — work they consider out of scope. You are stuck choosing between accepting downtime risk or migrating to an expensive managed platform, neither of which is acceptable.

  • · Built for Enterprise platform engineering and DevOps teams running Terraform at scale who need production-grade HA for their infrastructure-as-code PR automation but prefer self-hosted deployment over expensive managed SaaS.
  • · Most likely monetization: Open-core SaaS subscription (free single-node, paid HA features).

The Pain · Narrative

You are a platform engineer at a growing company, responsible for the Terraform automation that dozens of developers rely on daily. Your Atlantis server is a single point of failure — when it goes down, nobody can plan or apply infrastructure changes. You tried setting up two nodes behind a load balancer with a shared Azure Files mount, but both nodes crashed with BoltDB lock errors. You tried EFS on AWS and hit the same wall. You discovered that Atlantis uses an embedded database that cannot be shared between processes, and plan files on the filesystem are not concurrency-safe. The maintainers confirmed multi-node support would require replacing the entire data layer — work they consider out of scope. You are stuck choosing between accepting downtime risk or migrating to an expensive managed platform, neither of which is acceptable.

Score Breakdown

Pain Intensity9/10
Willingness to Pay7/10
Ease of Build4/10
Sustainability7/10

Market Signal

30-day mention trendPeak: 1
Sparkline: latest 1, peak 1, 30-day series
Channels covered
selfhostedfront_pagedesktop/desktopNousResearch/hermes-agentself hosted

Go-to-Market

Exact target user

Platform engineering team leads at companies with 200+ engineers who self-host Atlantis for Terraform PR automation and have experienced or fear downtime during critical deployment windows

Estimated user count

~3,000-5,000 organizations globally fit this profile, with a larger adjacent market of teams evaluating self-hosted vs managed Terraform automation

Primary acquisition channel

Open-source GitHub launch with HA branch, promoted via DevOps communities and conference talks (KubeCon, HashiConf)

Price anchor

$299/month for HA features (external DB, object storage, distributed locking) with free single-node tier

First milestone

50 GitHub stars and 5 paying enterprise customers within 60 days of launch

MVP Scope · 1–2 weeks

Week 1
  • Fork Atlantis and audit all BoltDB usage points in the codebase (locking, state, PR tracking)
  • Design database abstraction interface that supports both BoltDB (single-node) and PostgreSQL (HA mode)
  • Implement PostgreSQL adapter for the Locker interface replacing BoltDB lock acquisition
  • Set up CI pipeline with multi-node integration tests using Docker Compose
  • Create configuration schema for selecting database backend via environment variable
Week 2
  • Implement S3-compatible object storage adapter for plan file read/write operations
  • Add Redis-based distributed locking layer with failover and lock TTL support
  • Build migration tool that exports BoltDB state and plan files to PostgreSQL and S3
  • Write Kubernetes Helm chart with leader election, readiness probes, and graceful shutdown
  • Deploy internal multi-node test cluster and validate plan/apply workflow across nodes
MVP Features: PostgreSQL/MySQL backend replacing BoltDB for server state and locking · S3/Azure Blob/GCS object storage backend for Terraform plan files · Redis-based distributed locking for multi-node coordination · Kubernetes-ready with leader election and graceful shutdown · Backward-compatible API and configuration with upstream Atlantis · Migration tooling to import existing BoltDB state and plan files · Filesystem proxy that transparently redirects plan file I/O to S3-compatible object storage · Distributed lock manager using Redis that replaces BoltDB lock semantics

Differentiation

Existing solutions
Atlantis (open source, upstream)Terraform Cloud / Terraform Enterprise (HashiCorp)Spacelift
Our angle
No self-hosted Terraform PR automation tool offers true multi-node high availability. Teams must choose between free single-node Atlantis (no HA) or expensive managed platforms (Terraform Cloud, Spacelift). A middle ground of self-hosted, HA-capable Atlantis does not exist.

Why This Might Fail

Self-rebuttal — the most important trust signal

  1. 1The upstream Atlantis project could merge a database abstraction layer within 6-12 months, especially if community PRs gain traction, making the fork's value proposition disappear overnight.
  2. 2Enterprise buyers may prefer the perceived safety of HashiCorp Terraform Cloud over a smaller vendor's fork, even at a higher price point, due to brand trust and existing procurement relationships.
  3. 3Distributed systems correctness is extremely hard — subtle race conditions in distributed locking or plan file consistency could cause silent Terraform state corruption, destroying user trust before the product matures.

Evidence Summary

How AI synthesized this insight — no verbatim quotes

Approximately 5 commenters in this discussion independently attempted to achieve multi-node HA with Atlantis and hit the same BoltDB and filesystem storage barriers. Multiple users deployed shared filesystems (Azure Files, EFS) and encountered crashes. One user explicitly asked for a work item breakdown to estimate development effort, suggesting organizational budget for solving this. Maintainers confirmed the architecture is fundamentally single-process and that fixing it requires replacing the database layer and filesystem-dependent plan storage — work they consider out of scope. Some users reported partial success with Redis locking plus shared data directories, but concurrency safety remains unverified.

1 1 post analyzed5 5 channelsAI · AI synthesized · no verbatim

Action Plan

Validate this opportunity before writing code

Recommended Next Step

Build

Strong demand signals detected. Real pain, real willingness to pay — start building an MVP.

Landing Page Copy Kit

Ready-to-paste copy based on real Reddit community language — no editing required

Headline

HA-Enabled Atlantis Fork with External DB & Object Storage

Sub-headline

A fork of Atlantis that replaces BoltDB with PostgreSQL/MySQL and local filesystem plan storage with S3-compatible object storage, enabling true multi-node high availability. Distributed locking via Redis or database-level locks ensures safe concurrent operation. Offered as open-core: free single-node mode, paid HA features.

Who It's For

For Enterprise platform engineering and DevOps teams running Terraform at scale who need production-grade HA for their infrastructure-as-code PR automation but prefer self-hosted deployment over expensive managed SaaS

Feature List

✓ PostgreSQL/MySQL backend replacing BoltDB for server state and locking ✓ S3/Azure Blob/GCS object storage backend for Terraform plan files ✓ Redis-based distributed locking for multi-node coordination ✓ Kubernetes-ready with leader election and graceful shutdown ✓ Backward-compatible API and configuration with upstream Atlantis ✓ Migration tooling to import existing BoltDB state and plan files ✓ Filesystem proxy that transparently redirects plan file I/O to S3-compatible object storage ✓ Distributed lock manager using Redis that replaces BoltDB lock semantics

Where to Validate

Share your landing page in r/GitHub · runatlantis/atlantis — that's exactly where these pain points were discovered.

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Frequently asked questions

Who feels this pain?
Enterprise platform engineering and DevOps teams running Terraform at scale who need production-grade HA for their infrastructure-as-code PR automation but prefer self-hosted deployment over expensive managed SaaS
Is this a real opportunity?
This opportunity scores 76/100 on Pain Spotter's composite metric (pain intensity, willingness to pay, technical feasibility and sustainability). Validate further before committing engineering time.
How should I validate it?
Run 5 customer-discovery conversations with the target audience, post a landing page with a waitlist, and check the linked source post for recent activity before building.