Can I use this for development and production environments?

Absolutely. It includes specific templates ranging from small dev/test clusters to large, high-volume production deployments.

How do I determine when to scale my service replicas?

The skill suggests scaling when CPU utilization exceeds 70%, memory exceeds 80%, or when p99 request latency exceeds your defined SLA.

How is storage per workflow calculated?

It uses a formula based on the average number of history events per workflow multiplied by the event size and a retention multiplier.

Why is the history shard count so important in Temporal?

History shards determine the maximum workflow parallelism and cannot be changed after cluster creation. Sizing them correctly at the start is vital for long-term scalability.

Does this skill provide database resource recommendations?

Yes, it provides specific CPU, memory, and IOPS recommendations for PostgreSQL and storage calculations for Elasticsearch based on workflow volume.

Temporal Cluster Sizing

Name: Temporal Cluster Sizing
Author: therealbill

bytherealbill

0•

Despliegue y DevOps

Provides expert guidance and automated calculations for sizing Temporal clusters based on specific workload and performance requirements.

The Temporal Cluster Sizing skill helps engineers plan and scale their Temporal infrastructure by providing data-driven recommendations for history shards, service replicas, and database resources. It addresses the critical challenge of determining history shard counts—which cannot be changed after cluster creation—while offering scaling patterns for Frontend, History, and Matching services. Whether you are launching a dev environment or scaling to millions of concurrent workflows, this skill ensures your cluster is architected for both high availability and optimal throughput.

Características Principales

01Calculates optimal history shard counts for future-proof parallelism

020 GitHub stars

03Includes YAML configuration templates for Small, Medium, and Large clusters

04Provides replica and resource specs for Frontend, History, and Matching services

05Defines specific horizontal and vertical scaling triggers based on metrics

06Generates database capacity plans for PostgreSQL and Elasticsearch storage

Casos de Uso

01Initial architecture planning for new Temporal deployments to prevent shard bottlenecks

02Scaling existing clusters to handle increased workflow volume and API request rates

03Optimizing cloud resource costs by right-sizing database and compute instances

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add therealbill/mynet cluster-sizing

For use in Claude.ai and ChatGPT

Download Skill