Identify and resolve bottlenecks in your system

We measure your system as it runs, pinpoint the component slowing it down, and fix the root cause.

What we offer

Performance review

When throughput falls short, we benchmark, profile and trace the system, then report the root causes and fixes ranked by impact.

2–4 weeks

AI storage assessment

When GPUs wait on storage during training or inference, we analyse the data path and give you a KV-cache and GPUDirect plan, with sizing.

2–3 weeks

Live debugging

Live eBPF tracing from application functions down to kernel I/O, across a fleet, without redeploying or changing your code.

Performance engineering

Benchmarking beyond peak performance

We evaluate throughput, latency, data integrity and recovery under sustained workloads, concurrent access and failure scenarios to understand how the system behaves in production.

Standard

  • IOR / mdtest

    Runs of up to 6 million files at 90% capacity, sized to the cluster.

  • fio

    Tests io_uring and direct I/O, with CRC32c integrity checks in the same run.

  • IO500

    The ranked HPC storage benchmark, automated end to end via Ansible.

Custom built

  • yapio

    A parallel I/O benchmark we wrote in C, where groups of processes run different I/O patterns across nodes at the same time.

  • eBPF tracing

    Follows slow I/O from application calls through the kernel to the device.

How a typical stress run works
  1. Baseline

    fio + mdtest / IOR on a healthy cluster.

  2. Kill primary

    Primary node fails under load.

  3. Kill secondary

    Second failure mid-resync.

  4. Re-run

    Same workload after recovery.

  5. Compare

    Before/after graphs generated automatically.

The same idea proves data integrity: fio writes CRC32c-verified blocks, a storage node is killed mid-write, chunk recovery runs, and every block's checksum is re-validated.

Storage slower than your compute?

Send us your topology, workload and a benchmark run. We will get back to you.