Apache Kafka via Confluent Platform
Self-managed Apache Kafka deployed with Confluent Platform for event streaming, durable logs, and integration pipelines.
Extra Small — under 1,000 configured entities and under 2,500 requests per second
Monthly cost
$158.16
Annual cost
$1,898/year
| Compute | $140.16 |
| Storage | $18.00 |
| Other | $0.00 |
| Role | Instance | vCPU | GB RAM | Storage |
|---|---|---|---|---|
| Gateway | 1 × Standard_D2s_v5 | 2 | 4 | 50 GB |
| Database | 1 × Standard_D2s_v5 | 2 | 8 | 100 GB |
This Extra Small sizing supports Kong Gateway deployments with fewer than 1,000 configured entities and under 2,500 requests per second. Compute instances, specifically the two Standard_D2s_v5 VMs, are the dominant cost driver at $140.16 monthly. The architecture provisions two VMs with differing RAM and storage (4GB/50GB and 8GB/100GB) despite disabled high availability, suggesting a potential for future HA enablement or distinct workload separation.
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: Kong Gateway for small, version Kong Gateway 3.4.x resource sizing guidance, retrieved April 13, 2026.
https://developer.konghq.com/gateway/resource-sizing-guidelines/
Pricing: Azure pricing snapshot, retrieved May 9, 2026.
Commercial pricing only. GovCloud, sovereign cloud, and discounts beyond those shown are not modelled.
Based on Kong Gateway resource sizing guidance and deployment topology documentation, translated into VM-based planning tiers.
Estimate excludes Redis-backed rate limiting, developer portal services, Konnect, and workload-specific tuning or benchmark exercises.
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.