Linux Defaults That Cost You Latency
vm.swappiness, THP compaction, and C-states all add latency by default. Kernel internals, measured latency impact, and the exact settings to change on a trading server.
Structured engineering curriculums.
What production-grade infrastructure for autonomous agents that move money actually requires: human-oversight controls, attestation, deterministic safety nets, and the Article 14 deadline.
vm.swappiness, THP compaction, and C-states all add latency by default. Kernel internals, measured latency impact, and the exact settings to change on a trading server.
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.
Linux I/O schedulers reorder writes to optimize throughput, adding latency jitter. How Direct I/O, io_uring, and EBS tuning bypass the block layer for sub-millisecond storage access.
Architecture decisions that determine your latency ceiling. AWS, Kubernetes, monitoring, and security patterns for crypto trading systems.
StatefulSets give pods stable network identities and ordered startup, critical for OMS and position stores that can't cold-start. PersistentVolume patterns and graceful shutdown for trading services.
Fill latency, position drift, market data staleness. The SLOs that prevent losses, not just track uptime. Prometheus, Grafana, and alerting patterns.
eBPF and bpftrace attach to live kernel paths with under 100ns overhead. How to measure latency at nanosecond precision, on the exact system under load, without perturbing it.
WebSocket sequence gaps, snapshot+delta race conditions, and reconnect jitter: the multi-exchange market data reliability problems that production systems hit but benchmarks miss.
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.
Reorgs are profit opportunities if your searcher holds positions on both chains. Multi-builder hedging is arbitrage. How antifragility principles change MEV infrastructure design.
In MEV infrastructure, rogue employees and compromised builders are a larger threat than external attackers. Enclave signing, OPA policy 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.
AWS Nitro Enclaves, Intel SGX, and AMD SEV-SNP compared for trading infrastructure: attestation mechanics, key isolation properties, and benchmark latency numbers from production builds.
How TEE-based confidential compute lets trading firms prove their strategy is running as described to investors and auditors without revealing the strategy itself.
AI agents in trading do synthesis and memo drafting, not signal generation. How Letta-based persistent-memory agents fit into a human-gated BDI execution pipeline.
On-premise GPU beats cloud cost beyond ~8 hours/day utilization, and the latency case tips even earlier. Break-even math for LightGBM inference and training loops at trading scale.
What production-grade infrastructure for autonomous agents that move money actually requires: human-oversight controls, attestation, deterministic safety nets, and the Article 14 deadline.
Bybit, FTX, Mt. Gox: fast infrastructure, none of it verifiable. TEEs, MPC, and AI agents are converging to fix that.