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Services / Enterprise Support

Design-partner engagements and support: subscriptions, fixed-scope POCs, and production hardening for teams adopting eBPF, bpftime, or AI agent infrastructure. The open-source core is always free — this is the way in when you need an SLA, custom integration, or deep collaboration.

Published at OSDI 2025MIT licensedBacked by systems research
Open-source tractionbpftimebpftime stars on GitHubTutorialsTutorials stars on GitHubeunomia-bpfeunomia-bpf stars on GitHub

Subscription

Support subscription

Ongoing support with an SLA: upgrades, troubleshooting, production incident help, and support for enterprise license features.

2 weeks

eBPF / runtime architecture review

Assess whether a system is a good fit for bpftime, userspace eBPF, agent observability, or enforcement. Deliver architecture guidance, risk list, and next steps.

4 weeks

bpftime integration POC

Deliver a prototype, benchmark, risk list, and production plan around one sharply defined use case.

Production

Production hardening

Support performance, compatibility, deployment, security boundaries, and observability pipelines.

Custom

Custom eBPF / agent infra integration

Build custom attach paths, policy points, data pipelines, or runtime integrations for a specific platform or agent workflow.

Performance

Performance tuning

Profile and benchmark tracing overhead, JIT/AOT behavior, event paths, GPU instrumentation, and production workloads.

Who it is for

Helps teams evaluate, integrate, and harden eBPF or agent infrastructure from prototype to production.

Platform

Runtime platform integration

Tracing, profiling, sandbox, or runtime platforms that need lower-overhead or more flexible eBPF extension.

AI infra

Teams adopting agent observability or enforcement

Agent workflows need system-boundary evidence, policy, and restore safety beyond application logs.

Research to production

Teams moving a prototype into production

A clear use case exists and the next step is benchmark, compatibility, deployment model, and security boundary work.

Concrete deliverables

Every project produces concrete deliverables: architecture guidance, prototypes, benchmarks, integration code, deployment plans, or security policies.

delivery loop

scope.problem()

ship.prototype()

harden.production()

Contact

Talk to the people who maintain it

Maintained by the eunomia-bpf open-source team, focused on systems engineering for eBPF, runtime extension, and AI agent infrastructure. Reach out directly for enterprise evaluation, POCs, and production integration.

Email us[email protected]Typically replies within 2 business days