01 / Reliability
Stabilize production.
Investigate recurring incidents, fragile dependencies, and operational risk, then prioritize the changes with the greatest impact on production stability.
- Incident analysis
- Observability
- Architecture review
Systems should grow.Fragility shouldn’t.
Infrastructure reliability and performance consulting for teams operating critical production systems. We trace constraints across Linux, Kubernetes, RKE2, and Amazon EKS, make focused improvements, document the decisions, and transfer the operating knowledge.
01Diagnose02Measure03Improve04Transfer
01Performance engineering for large-scale systems
02Hands-on RKE2 and Amazon EKS experience
03Project-based and ongoing work worldwide
04Client-controlled systems and knowledge transfer
What we solve
Engineering for problems that cross layers.
We start with the production outcome, then trace the evidence across every layer involved.
02 / Kubernetes platforms
Build platforms your team can operate.
Design, migrate, or simplify Kubernetes infrastructure across RKE2 and Amazon EKS without building more platform than the problem requires.
- RKE2 / EKS
- Kubernetes
- Infrastructure as code
03 / Performance
Find the real bottleneck.
Profile the request path across the application, database, network, storage, kernel, and cluster, then validate improvements against a representative workload.
- Profiling
- Load testing
- Capacity planning
04 / Operations
Keep critical systems reliable.
Keep infrastructure patched, observable, and documented through an ongoing engineering partnership focused on reliability and performance.
- Operations
- Runbooks
- Continuous improvement
Bring us in when
The usual fixes have stopped working.
AProduction is unstable, but the cause stays unclear.
BGrowth is exposing latency, cost, or capacity limits.
CKubernetes operations are pulling the product team away from product work.
How we work
Trace the cause.Change what matters.Verify the result.
Diagnose
Trace evidence across the end-to-end request path.
Measure
Establish a baseline and reproduce the failure or bottleneck.
Improve
Make the smallest change that addresses the cause.
Transfer
Document the decisions and transfer the knowledge needed to operate the system.
Engineering depth
The request path, end to end.
01Workload02Cluster03Runtime04Kernel05Network06Storage07Telemetry
Ways to work
Start with the problem. Define the engagement from there.
Assessment
A focused review to identify likely causes, key risks, and the most useful next step before committing to a larger project.
Project delivery
A defined implementation or optimization project with measurable acceptance criteria and a clear handover.
Ongoing partnership
Ongoing operations, performance reviews, and reliability improvements with continuity across releases and incidents.
Evidence before assumptions
Have a hard system problem? Let’s trace it.
Tell us what is slow, unstable, expensive, or difficult to operate. We’ll tell you directly whether we’re the right fit.
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