Apache Kafka via Confluent Platform
Self-managed Apache Kafka deployed with Confluent Platform for event streaming, durable logs, and integration pipelines.
Large — 600,000 to 2,000,000 issues or 10,000 to 100,000 users
Monthly cost
$700.80
Annual cost
$8,410/year
| Compute | $700.80 |
| Storage | $0.00 |
| Other | $0.00 |
| Role | Instance | vCPU | GB RAM | Storage |
|---|---|---|---|---|
| Application | 2 × Standard_D8s_v5 | 8 | 16 | — |
| Database | 1 × Standard_D4s_v5 | 4 | 16 | — |
This sizing supports a large Jira Data Center deployment, accommodating 600,000 to 2,000,000 issues or 10,000 to 100,000 users, by provisioning two D8s_v5 nodes and one D4s_v5 node. Compute instances are the sole cost driver at $700.80 monthly, as storage and other costs are not present in this on-demand, non-HA configuration. The absence of high availability means this setup lacks redundancy, which is a significant tradeoff for a large-scale production system.
Share the current URL or copy the launch Terraform baseline.
Terraform export is available for Google Cloud at launch. AWS and Azure are deferred to v1.5. Reference architecture: Jira Data Center for large, version Jira Data Center 9.12 benchmark guidance, retrieved April 13, 2026.
Pricing: Azure pricing snapshot, retrieved May 6, 2026.
Commercial pricing only. GovCloud, sovereign cloud, and discounts beyond those shown are not modelled.
Estimate excludes shared-home storage, managed database Multi-AZ overhead, Marketplace app overhead, and other supporting services not explicitly sized in the recommendation summary.
The HA toggle models front-end load balancer overhead only; Atlassian Data Center clustering itself is already represented in the base node counts.
Self-managed Apache Kafka deployed with Confluent Platform for event streaming, durable logs, and integration pipelines.
Self-hosted CockroachDB for resilient SQL workloads that need distributed transactions and scale-out storage.
Self-managed Confluence Data Center for enterprise documentation, knowledge bases, and collaborative editing.