⚡ AetherFlow v2.4 Released • Sub-millisecond P99

Distributed Stream Processing
Engine for Edge & Cloud

A resilient, memory-safe data plane built for high-throughput packet routing, streaming telemetry, and event-driven architectures with zero-copy I/O.

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pipeline.rs — AetherFlow Pipeline Definition

Rust 1.80+

// Initialize low-overhead zero-copy stream collector
use aetherflow::prelude::*;

#[tokio::main]
async fn main() -> Result<()> {
    let telemetry = PipelineBuilder::new()
        .bind("0.0.0.0:8080")
        .buffer_capacity(1024 * 1024)
        .compression(ZstdPreset::Fast)
        .build()
        .await?;

    telemetry.listen_with_graceful_shutdown().await
}

4.2M

Events / Sec / Node

< 180μs

P99 Transport Latency

99.999%

Uptime Reliability

0-Alloc

Fast-Path Processing

Built for Mission-Critical Infrastructure

Engineered from the ground up to solve modern streaming telemetry challenges with predictable performance and zero dependencies.

⚡

Lock-Free Concurrency

Utilizes multi-producer multi-consumer ring buffers with cache-aligned atomics to deliver linear scalability across multi-core systems.

🛡️

End-to-End Integrity

Built-in cryptographic verification, mutual TLS authentication, and automated certificate lifecycle rotation across all edge relays.

🌐

Hybrid Edge Topology

Dynamic routing topology adapts in real time to network jitter, packet drops, and upstream congestion with intelligent backpressure control.

📦

Self-Contained Deployment

Compiled into a single static binary with no external runtime requirements. Docker, Kubernetes, and bare-metal ready in under 5 seconds.

📊

Prometheus & OpenTelemetry

First-class integration with standard observability stacks. Native counters, histograms, and distributed tracing spans out of the box.

🔄

Adaptive Multiplexing

Transparent stream pooling over resilient multiplexed transports with bidirectional frame validation and automatic fallback mechanisms.

Distributed Stream ProcessingEngine for Edge & Cloud