For software companies

Your software is growing.
Your servers are feeling it.

Understand the execution bottlenecks, capacity constraints and recurring failures between your application and its next stage of growth.

The operating problem

The next customer shouldn’t
mean the next incident.

Heavy applications can overwhelm machines long before the team has a clear explanation. We work at the boundary between application behavior, runtime execution and the infrastructure doing the work.

Start where the queue starts growing.

When an application hits its limit, more CPU isn’t always the missing ingredient. The runtime may be waiting on memory, coordination or a dependency.

Make the workload explicit

Identify the request, batch or background job that’s getting slower. Capture concurrency, input size, queue depth, response time and the condition of the host during the problem.

Compute evaluation

Compare changes fairly

Keep the job and correctness checks constant while evaluating an execution change or a different configuration. Separate repeatable gains from a single fast run.

Workload methods

Keep production recoverable

Record the services, retry behavior and restoration checks that must survive a change. A release needs a way back when its new failure mode wasn’t in the test.

Release & recovery review

Practical runtime questions.

The existing Ruby and Rails library tackles the choices that sit between an application and its machines.

Runtime and concurrency

Compare JRuby with CRuby under the workload you actually run. Choose threads, Ractors or processes with their memory and coordination costs in view.

JRuby versus CRubyRuby concurrency

Memory and capacity

Measure application memory growth before assuming every increase is a leak or every slowdown requires a larger machine. Bring the evidence into the capacity decision.

Rails memory usageEvaluation-plan scope

Work with Valen Systems

Show us where the application slows down.

Tell us which system you’re responsible for, what’s changing and what a useful result would look like.