Architectural Invariant Design: eBPF TC Egress Telemetry Rate-Limiting & Ring Buffer Overflow Guardrail
eBPF TC Egress Telemetry Rate-Limiting & Ring Buffer Overflow Guardrail defines an industrial-grade behavioral standard for devops engineering. Enforces bounded eBPF ring buffer reservations, non-blocking telemetry drops, and token-bucket rate limiting in Traffic Control (TC) egress hook paths. Prevents kernel memory exhaustion, NET_TX softirq CPU starvation, and network egress throughput degradation during high-volume packet bursts. Mandates that telemetry failures never fail open to packet rejection. Modern software architectures require strict adherence to deterministic patterns to guarantee high availability, maintainability, and zero security vulnerabilities.
Hazard Analysis: What Breaks Without This Rule
The following failure modes have been cataloged from hundreds of hours of production code reviews where AI assistants produced non-compliant implementations:
| Failure Mode | AI Symptom (The Anti-Pattern) | Severity | Production Impact & Remedy |
|---|---|---|---|
| AI Hallucination & Deprecation Drift | Unbounded per-packet eBPF ring buffer emissions in TC egress paths without drop counters or sampling, causing packet drop and softirq stalls. | Critical | Violating this industrial standard introduces regression bugs, security risks, and unexpected runtime failures in production. Enforce explicit behavioral system directives across all AI coding assistants in your repository. |
| Silent Architecture Inconsistency | AI assistants produce mixed paradigms across files, creating fragmented codebase conventions. | Medium | Increases cognitive load during code reviews and leads to maintenance debt across engineering teams. Pin project conventions in .cursor/rules, CLAUDE.md, and AGENTS.md so all team agents follow identical guardrails. |
Step-by-Step Production Directives
Each rule constraint below is injected into the AI agent's system prompt to establish deterministic boundaries:
Engineers MUST ALWAYS return TC_ACT_OK (or the intended forwarding decision) even when ring buffer reservation or submission fails.
Engineers MUST ALWAYS return TC_ACT_OK (or the intended forwarding decision) even when ring buffer reservation or submission fails.
Engineers MUST NOT emit telemetry per-packet unconditionally
Engineers MUST NOT emit telemetry per-packet unconditionally; high-throughput TC filters must implement token-bucket rate-limiting or power-of-two packet sampling.
Engineers MUST ALWAYS verify the pointer returned by bpf_ringbuf_reserve against NULL before writing payload data.
Engineers MUST ALWAYS verify the pointer returned by bpf_ringbuf_reserve against NULL before writing payload data.
Engineers MUST pass the BPF_RB_NO_WAKEUP flag to bpf_ringbuf_submit in hot TC paths and handle wakeups through batched epoll/poll triggers to minimize IPI overhead.
Engineers MUST pass the BPF_RB_NO_WAKEUP flag to bpf_ringbuf_submit in hot TC paths and handle wakeups through batched epoll/poll triggers to minimize IPI overhead.
Services MUST monitor telemetry drops via a dedicated BPF_MAP_TYPE_PERCPU_ARRAY counter map rather than attempting retry loops inside the eBPF hook.
Services MUST monitor telemetry drops via a dedicated BPF_MAP_TYPE_PERCPU_ARRAY counter map rather than attempting retry loops inside the eBPF hook.
Ring buffers MUST be sized as page-aligned powers of two (e.g., 2^N pages) and bounded by configured cgroup/kernel memlock limits.
Ring buffers MUST be sized as page-aligned powers of two (e.g., 2^N pages) and bounded by configured cgroup/kernel memlock limits.
Frequently Asked Technical Questions
Common questions developers face when configuring AI coding assistants for this stack:
Q:Why is eBPF TC Egress Telemetry Rate-Limiting & Ring Buffer Overflow Guardrail critical for AI coding assistants?
Enforces bounded eBPF ring buffer reservations, non-blocking telemetry drops, and token-bucket rate limiting in Traffic Control (TC) egress hook paths. Prevents kernel memory exhaustion, NET_TX softirq CPU starvation, and network egress throughput degradation during high-volume packet bursts. Mandates that telemetry failures never fail open to packet rejection. Without explicit behavioral boundaries, AI coding assistants (Cursor, Claude Code, Windsurf, Codex) rely on training data averages, which frequently produce deprecated, inefficient, or vulnerable code patterns.
Q:How does adopting this rule prevent AI hallucinations?
This rule explicitly declares what the AI must avoid (Unbounded per-packet eBPF ring buffer emissions in TC egress paths without drop counters or sampling, causing packet drop and softirq stalls.) and prescribes verified positive examples. Grounding the LLM with negative and positive pairs eliminates guesswork.
Q:Which AI coding environments are supported?
This specification is multi-platform compatible: Cursor (.cursor/rules/*.mdc & .cursorrules), Anthropic Claude Code (CLAUDE.md), Windsurf (.windsurfrules), Codex / Cline (AGENTS.md), and GitHub Copilot (.github/copilot-instructions.md).
Q:Can I combine this rule with other technology stacks?
Yes. Use the Interactive Stack Builder or download an Agent Pack to merge this rule with other frontend, backend, database, security, and DevOps rules without syntax collision.