Linux Defaults That Cost You Latency
Deep dive into vm.swappiness, THP compaction, and C-states. Kernel internals, measurements, and the design philosophy behind low-latency Linux tuning.
EU AI Act Article 14: 90 days until enforcement. 2 Q2 2026 slots left. Check compliance →
Structured engineering curriculums.
The ZeroCopy thesis: TEEs, MPC, and AI agents are converging to produce a new class of trading infrastructure where every operation is cryptographically provable. This is the manifesto.
Deep dive into vm.swappiness, THP compaction, and C-states. Kernel internals, measurements, and the design philosophy behind low-latency Linux tuning.
Why cloud providers' latency claims don't match production, and the exact kernel bypass techniques that get you to deterministic sub-50µs RTT on c6i.metal instances.
Why NTP is insufficient for HFT compliance, and how to implement IEEE 1588 PTPv2 with hardware timestamping to achieve sub-100ns accuracy.
Why the standard 'isolcpus' kernel parameter doesn't fully isolate your critical threads, and the combination of settings required for true deterministic scheduling.
How Transparent Huge Pages cause unpredictable latency spikes, and the explicit HugePage reservation strategy that eliminates memory stalls.
How the Linux network stack adds latency, and the interrupt coalescing, busy polling, and AF_XDP techniques that reduce it.
Deep dive into I/O schedulers, Direct I/O, io_uring, and AWS EBS optimization. Block layer internals for predictable storage latency.
Architecture decisions that determine your latency ceiling. AWS, Kubernetes, monitoring, and security patterns for crypto trading systems.
Deep dive into StatefulSets vs Deployments, pod identity, PersistentVolumes, and graceful shutdown patterns for trading infrastructure.
Fill latency, position drift, market data staleness. The SLOs that prevent losses, not just track uptime. Prometheus, Grafana, and alerting patterns.
Deep dive into eBPF, bpftrace, and kernel tracing. How to measure latency at nanosecond precision without the observer effect.
Deep dive into WebSocket reliability, sequence gap detection, Kubernetes patterns, and monitoring for multi-exchange market data systems.
FPGA feed handlers, kernel bypass, and the physics of sub-3µs trading. Why infrastructure is the edge in high-frequency markets.
The RTT badge on this site measures real latency. Here's how, using the Performance API, Cloudflare edge, and the same principles that apply to trading.
How to replace air-gapped cold storage with a policy-driven MPC signing pipeline, achieving fast deployment cycles without compromising cryptographic guarantees.
Reference architecture for a high-performance crypto exchange on AWS, covering the Matching Engine (LMAX pattern), Market Data Ingest, and MPC Custody integration.
Zero Trust networking with Teleport, supply chain security with Sigstore, and real-time risk engines with Chainalysis. How to secure an exchange from the inside out.
Security architecture for DeFi protocols: enclave signing, rate limiters, circuit breakers, and the incident response playbook.
A first-principles breakdown of why infrastructure latency, simulation failure rates, and observability gaps eat block builder margin — and how to fix it.
Applying Nassim Taleb's antifragility to blockchain execution infrastructure. Why reorgs are profit opportunities, multi-builder hedging is arbitrage, and chaos engineering is a competitive advantage.
Why the biggest threat to MEV infrastructure is not external hackers-it's rogue employees, compromised builders, and your own logs. Enclave signing, OPA firewalls, and compliance logging without alpha leakage.
Why your Geth node is 200ms behind the network, and the exact tuning required to achieve state freshness for MEV. The physics of io_uring, NVMe namespaces, and P2P topology.
A practitioner's guide to TEEs for trading infrastructure: how AWS Nitro Enclaves, Intel SGX, and AMD SEV-SNP work, where each fits, and real benchmark numbers.
How TEE-based confidential compute lets trading firms prove their strategy is running as described to investors and auditors without revealing the strategy itself.
ZeroCopy runs AI agents in production for trading workflow orchestration. What Letta-based agents actually do well in trading, what guardrails make them safe, and the real architecture.
A rigorous cost and latency analysis of on-premise GPU vs cloud for trading AI workloads. The tipping point is different than most firms assume — here is the analysis.
The ZeroCopy thesis: TEEs, MPC, and AI agents are converging to produce a new class of trading infrastructure where every operation is cryptographically provable. This is the manifesto.