Longhorn Kubernetes Performance

I am evaluating Longhorn for production use and want to understand how storage replication affects Kubernetes application performance.

The platform provides high availability, so I need clarification about the performance tradeoffs associated with multiple volume replicas.

I also need help benchmarking Longhorn storage for databases, APIs, and other stateful workloads.

My cluster uses SSD based storage, so I want examples showing how hardware choices influence Longhorn performance.

I need guidance about tuning Longhorn settings to improve throughput, latency, and storage efficiency.

I also want to understand which workload types benefit most from Longhorn and which scenarios may require alternative storage solutions.

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• Longhorn for Databases

  I am planning to run PostgreSQL and MySQL on Kubernetes and want to understand whether Longhorn is suitable for database workloads.

• Longhorn StorageClass and PVC

  I want to create persistent storage for Kubernetes applications and need to understand how Longhorn StorageClasses and Persistent Volume Claims work together.

• Longhorn Alternatives for Kubernetes

  I am researching Kubernetes storage solutions and want to understand which alternatives to Longhorn are commonly used in production.