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 evaluationFor software companies
Understand the execution bottlenecks, capacity constraints and recurring failures between your application and its next stage of growth.
The operating problem
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.
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.
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 evaluationKeep the job and correctness checks constant while evaluating an execution change or a different configuration. Separate repeatable gains from a single fast run.
Workload methodsRecord 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 reviewThe existing Ruby and Rails library tackles the choices that sit between an application and its machines.
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 concurrencyMeasure 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 scopeWork with Valen Systems
Tell us which system you’re responsible for, what’s changing and what a useful result would look like.