[Cloud Orchestrator 5/5] Learning Without Surrendering Control
How Cloud Orchestrator combines eight specialist roles with an optional adaptive ranker, verified decision feedback, frozen comparisons, and evidence-gated policy promotion.
기술 블로그
백엔드, Kubernetes, 데이터베이스, 인프라 운영을 다루는 기술 기록입니다.
Building PostgreSQL Consistency Lab: From Invisible Race Conditions to an Evidence-Backed Workbench
A detailed retrospective on building PostgreSQL Consistency Lab: deterministic transaction failures, isolated sandboxes, managed actors, 16 real scenarios, bounded workloads, PostgreSQL observability, a synchronized dashboard, and one shared Go control plane for CLI, REST/SSE, and MCP.
[DevBerth 2/2] I Closed the Window. DevBerth Kept Using 69% CPU.
Activity Monitor showed DevBerth using 69.2% CPU with no window open. This is how I followed the work through Instruments and brought the same Release build down to 0.118%.
[DevBerth 1/2] I Wanted a Better Way to See What Was Running on My Mac
DevBerth started as a port viewer. It turned into a native macOS runtime manager once I realized that seeing a process and safely controlling it were two very different problems.
[Quant Trading System 5/5] Confirming no_trade with Research Gates and Multi-Horizon Diagnostics
How a research dashboard recorded each candidate’s first failing gate, then a frozen multi-horizon diagnostic confirmed no_trade before test access or model training.
Thoughts on What Developers Should Do in an Age Where AI Writes Code
How coding agents move developer leverage from typing code to defining systems, constraints, review, and responsibility.
[Quant Trading System 4/5] Decomposing the Train-Validation Gap with MBP Execution Reality
A forensic analysis of timing, contract, direction, fold, and cost fragility, followed by MBP-1 spread, latency, and adverse-movement calibration for OHLCV candidates.
[Cloud Orchestrator 4/5] Tuning a Controller Without Tuning Its Evidence
Separating legacy PPO and Optuna experiments, local Kubernetes comparison, verified actuation, and a frozen independent CSC/CSP outcome gate.
[Quant Trading System 3/5] Why no_trade Baselines Made Positive Validation More Suspicious
How deterministic baselines, feature IC, and a strategy zoo selected no_trade, then train, concentration, and cost-stress gates rejected the first validation-positive candidates.
[Cloud Orchestrator 3/5] Eight Roles, One Mutation: Designing the Control Boundary
The six-layer Cloud Orchestrator separates A–H responsibilities, feasibility, serial arbitration, durable execution, and independent assessment.
[Quant Trading System 2/5] From an MES/ES Silver Dataset to a Strict Training Matrix
How past-only contract selection and session filtering produced an MES/ES silver dataset, then a strict matrix with physically separated features, labels, metadata, and splits.
[Cloud Orchestrator 2/5] Data Repair, Temporal Validation, and Two Different Prediction Tasks
Why causal schemas, mature labels, label-independent validation sampling, and model provenance matter—and why Borg failure forecasting differs from the live controller's next-window predictors.
모든 기술 글 보기
- [Cloud Orchestrator 5/5] Learning Without Surrendering Control ML
- Building PostgreSQL Consistency Lab: From Invisible Race Conditions to an Evidence-Backed Workbench Database
- [DevBerth 2/2] I Closed the Window. DevBerth Kept Using 69% CPU. Performance
- [DevBerth 1/2] I Wanted a Better Way to See What Was Running on My Mac macOS
- [Quant Trading System 5/5] Confirming no_trade with Research Gates and Multi-Horizon Diagnostics ML
- Thoughts on What Developers Should Do in an Age Where AI Writes Code AI
- [Quant Trading System 4/5] Decomposing the Train-Validation Gap with MBP Execution Reality ML
- [Cloud Orchestrator 4/5] Tuning a Controller Without Tuning Its Evidence ML
- [Quant Trading System 3/5] Why no_trade Baselines Made Positive Validation More Suspicious ML
- [Cloud Orchestrator 3/5] Eight Roles, One Mutation: Designing the Control Boundary ML
- [Quant Trading System 2/5] From an MES/ES Silver Dataset to a Strict Training Matrix ML
- [Cloud Orchestrator 2/5] Data Repair, Temporal Validation, and Two Different Prediction Tasks ML
- [Quant Trading System 1/5] From no_trade Discipline to Reproducible Databento Ingestion ML
- [Cloud Orchestrator 1/5] Building a Causal Foundation for Failure Forecasting ML
- The False Sense of Safety Around PriorityClass and PodDisruptionBudget Kubernetes
- Reducing Kubernetes Load Balancer Cost With Istio Gateway: A Local Routing Lab Kubernetes
- Tracing SQL Server JDBC Unicode Parameter Behavior Inside the Library Spring Boot
- Why an ORM Query Missed a VARCHAR Index in SQL Server Database
- What to Know When Scaling Pods Down to Zero with KEDA Kubernetes
- Running Kafka and Debezium on Kubernetes with Strimzi kafka
- Hibernate Slow Query Logging in Spring Boot: YAML, .properties, and Provider Settings Spring Boot
- Calling APIs from Database Triggers: Usage and Risk Database
- Understanding Salting and Hashing as a Security Boundary Security
- Reducing Spring Boot Log Cost Without Hiding Failures Observability
- The HTTP Client Boundary Behind a Feign PATCH Failure Distributed Systems
- Propagating TraceId Context Across Async Work Spring Boot
- Scaling Healthcare Chat Beyond an Echo WebSocket Realtime Systems
- A Kubernetes Rollout That Failed Safely: Readiness, Deadlines, and Rollback Kubernetes
- Kafka Delivery Semantics in Practice: Ordering, Duplicates, Rebalances, Retries, and DLT Distributed Systems
- Protecting a JPA Aggregate: Invariants, DTOs, and Optimistic Locking Domain Modeling
- OLTP vs. OLAP Benchmarking With HammerDB, PostgreSQL, and Query Plans Database
- Database Benchmarking Criteria and Using HammerDB Database
- A Reproducible JMeter Load Test: Throughput, p95, Errors, and Evidence Performance Testing
- When a Redis Leaderboard Lies: Outbox, Idempotency, and Reconciliation Distributed Data
- Springfox Swagger Parse Error in Spring Boot: Reproducing the Failure and Migrating to springdoc API
- Operating a Spring Boot SLO with Prometheus, Alertmanager, and Grafana Observability
- SWMaestro 14th Cohort Acceptance Retrospective SWMaestro