Service

Every Aaronsen engagement puts a genuine open source specialist on your problem — someone with direct commit access or a deep contributor history in the codebase you need help with. We solve problems that generalist consultants cannot, because our engineers know the code from the inside.

When a production system is down or degraded and the root cause lives inside an open source dependency, we dispatch the right specialist fast. Kernel panics, database corruption, memory leaks in C runtimes, segfaults in interpreters, deadlocks in network stacks — these are not hypothetical scenarios to our engineers. They have seen them before, usually in the same codebase, and they know where to look.

Same-day availability is our standard expectation. Emergencies do not schedule themselves, and we staff accordingly.

Open source software is transparent — which is a feature, but only if someone with the right skills is actually reading it. We conduct thorough audits of open source components you depend on, with attention to vulnerabilities, misconfigurations, and integration hazards that automated tools miss.

We also audit patches before merge, assess the risk profile of dependency upgrades, and advise on supply chain exposure for organizations with significant open source usage in production.

Major version upgrades of foundational open source software — databases, runtimes, operating systems — are among the highest-risk operations an engineering organization undertakes. Behavioral changes buried in release notes, subtle incompatibilities in wire protocols, and undocumented internal API shifts have derailed many well-planned migrations.

Our specialists have often been directly involved in the upstream changes that make these migrations complex. That institutional knowledge is the difference between a migration that goes cleanly and one that costs weeks of unplanned remediation.

Tuning open source systems for performance requires understanding both your workload and the internals of the software processing it. Query planner behavior, scheduler policies, memory allocator characteristics, network buffer sizing — these cannot be optimized by reading a blog post. We bring the depth to understand what the software is actually doing and to make changes that produce real, measurable results.

Where appropriate, we submit improvements upstream, so the broader community benefits and your long-term patch burden goes to zero.

After we solve your problem, we make sure your team understands what happened and why. We document the root cause, the fix, and the surrounding context in the codebase. Where warranted, we run working sessions with your engineers to raise their familiarity with the relevant subsystems.

Our goal is not to make you dependent on us. It is to make your team more capable — and to be available when the next hard problem arrives.