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.
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.
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.
Baseline
fio + mdtest / IOR on a healthy cluster.
Kill primary
Primary node fails under load.
Kill secondary
Second failure mid-resync.
Re-run
Same workload after recovery.
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.