---
title: "Hardware-Optimized Thread-per-Core C++ Streaming | Distributed Systems Architecture Canon"
description: "Zero-JVM, thread-per-core C++ event streaming platform utilizing Linux io_uring and Seastar architecture for deterministic sub-millisecond p99 latencies."
image: "https://tinycto.tv/assets/distributed-systems/distributed_systems_architectures_og.jpg"
canonicalUrl: "https://tinycto.tv/distributed-systems/architectures/redpanda-zero-copy-pipeline"
locale: "en"
---

# Hardware-Optimized Thread-per-Core C++ Streaming (`arch-redpanda-zero-copy-pipeline`)

> **Architectural Pillar**: STREAMING_LOGS | **Archetype**: LOG_STREAMING_PARTITIONING
> **PACELC**: PC/EC | **Consensus Protocol**: Raft

Zero-JVM, thread-per-core C++ event streaming platform utilizing Linux io_uring and Seastar architecture for deterministic sub-millisecond p99 latencies.

### 3 Maturity Target Configurations

#### 1. Initial Target: 50,000 msg/sec

- **Guarantees**: At-Least-Once Delivery
- **Infrastructure Topology**: 3 nodes on bare-metal or EC2 i3en with NVMe disks.
- **Operational Trade-Off**: Requires direct kernel parameter tuning (io_uring, XFS filesystem).

#### 2. Scaled Target: 800,000 msg/sec

- **Guarantees**: Strict Idempotent Raft Consensus EOS
- **Infrastructure Topology**: 7 bare-metal NVMe nodes running Redpanda K8s Operator with hostPath NVMe volumes.
- **Operational Trade-Off**: Higher hardware requirements per node, requires specialized Linux kernel tuning.

#### 3. Ultra-Scale Target: 5,000,000 msg/sec

- **Guarantees**: Global Multi-Region Cloud Storage Tiering with Instant Rehydration
- **Infrastructure Topology**: 18 high-spec AMD EPYC bare-metal instances with dual 100GbE NICs and direct NVMe io_uring passthrough.
- **Operational Trade-Off**: Substantial initial bare-metal infrastructure investment and kernel tuning discipline.

### Handled Failure Modes

- `DS-FAIL-13: GC Pause False Leader Demotion`
- `DS-FAIL-03: Consumer Lag Spiral`


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