Infrastructure & MLOps - Frontier Ledger

Infrastructure & MLOps

20 articles on low-latency pipelines, model deployment, monitoring, and scalable infrastructure design.

1

Building Low-Latency ML Pipelines with Kafka and Flink

2

Model Serialization Formats: Pickle vs ONNX vs TorchScript

3

Feature Store Design for Tick-Level Data

4

Canary Deployment Strategies for Trading Models

5

GPU vs CPU Cost Analysis for Real-Time Inference

6

Monitoring Model Drift with Statistical Process Control Charts

7

Automated Retraining Triggers Based on Market Volatility Thresholds

8

Secrets Management for API Keys in Quant Research Environments

9

Infrastructure-as-Code: Terraform Templates for Quant Cloud Stacks

10

Version-Controlled Data Lakes for Regulatory Auditability

11

Using Ray for Distributed Hyperparameter Searches

12

Scaling Backtests on Spark vs Dask—Benchmark Study

13

A/B Testing Execution Algorithms in Production

14

Latency Benchmarking Suite for Tick-Data Feature Pipelines

15

Kubernetes Operators for Scheduled Model Refreshes

16

Data-Lineage Visualization Dashboards for Compliance

17

Real-Time Feature Encryption with Homomorphic Techniques

18

Serverless Architectures for Burst-Load Model Inference

19

Streaming Synthetic Data Generators for Stress-Testing Clusters

20

Disaster-Recovery Planning for Quant Trading Infrastructure