◆ Gentoo Logic · Modeling Warehouse

Architecture comparison

Atlassian vs Linear

Atlassian runs closer to the foundational model (Cloud-hosted (Bedrock/Vertex/Azure)) than Linear (Off the LLM map (in-house non-LLM ML)). No shared foundational model — different bets.

Atlassian

DevTools

Proximity
Cloud-hosted (Bedrock/Vertex/Azure)
Models
OpenAI · GPT
Cloud · datastore
AWSPostgreSQLDynamoDBKafka
Compliance
SOC 2ISO 27001FedRAMP (Moderate)
Architecture

Jira/Confluence migrated to an AWS-native multi-tenant platform (Micros) on PostgreSQL + DynamoDB. Atlassian Intelligence wraps OpenAI behind a tenancy/governance layer.

Linear

DevTools

Proximity
Off the LLM map (in-house non-LLM ML)
Models
—
Cloud · datastore
GCPPostgreSQLRedisMongoDB
Compliance
—
Architecture

Linear’s CTO has described the production stack as running on Google Cloud with Kubernetes, using React and Node/TypeScript, with Postgres for primary storage, Redis for queuing, and MongoDB for caching scenarios. The only clearly documented AI-related capability in the provided sources is product-level “AI workflows”; no source here establishes a specific foundational LLM provider in the core production architecture, so model_links is empty.

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