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Cloud Architecture
Cloud Architecture
Sep 10, 2026 · Operations

From Firefighting to Fire Prevention: Production-Grade Database Monitoring with Prometheus & Grafana

This comprehensive guide details building a production-grade database monitoring system using Prometheus and Grafana, covering SLI/SLO design, alerting strategies, architecture, metric selection, security, Prometheus configuration, Alertmanager routing, Grafana dashboards, scaling, incident response runbooks, anti-patterns, and operational processes to shift from reactive firefighting to proactive prevention.

AlertingAlertmanagerDatabase Monitoring
0 likes · 42 min read
From Firefighting to Fire Prevention: Production-Grade Database Monitoring with Prometheus & Grafana
TonyBai
TonyBai
Sep 10, 2026 · Industry Insights

D2 Goes Non-Profit, Open-Sources TALA, Commits to AI-Only Development

Text-to-diagram tool D2 transitions to a non-profit under Hack Club, open-sources its proprietary TALA orthogonal layout algorithm, and announces all future code will be AI-generated while rejecting server-dependent features, bloated tooling, and built-in LLM interfaces.

AI-assisted developmentD2Hack Club
0 likes · 20 min read
D2 Goes Non-Profit, Open-Sources TALA, Commits to AI-Only Development
Random Bulletin
Random Bulletin
Sep 10, 2026 · Operations

Canary Releases at 10M QPS: Making Gradual Rollouts Mandatory, Not Optional

This article explains why canary releases become essential at 10M QPS, detailing how to define canary units by identity, failure domain, and business scenario; set absolute traffic limits; use evidence-driven state machines with four metric layers; ensure version compatibility; choose rollback, feature-flag, or forward-fix strategies; build platform capabilities; avoid common pitfalls; and make canary the default deployment path.

10M QPScanary releasedeployment strategy
0 likes · 30 min read
Canary Releases at 10M QPS: Making Gradual Rollouts Mandatory, Not Optional
Xiaomi Tech
Xiaomi Tech
Sep 10, 2026 · Artificial Intelligence

Inside Xiaomi Super XiaoAI: Fast/Slow Routing & Full-Duplex Dialogue for Automotive AI

Xiaomi details the dual-system architecture behind Super XiaoAI: a fast/slow routing layer that cuts model latency 35% via no-think mode and RAG-Planning, plus a full-duplex dialogue engine with three-level context compression (60–86% token reduction) and four-type interruption handling for natural in-car conversation.

Automotive AIContext CompressionFast/Slow System
0 likes · 10 min read
Inside Xiaomi Super XiaoAI: Fast/Slow Routing & Full-Duplex Dialogue for Automotive AI
ITPUB
ITPUB
Sep 10, 2026 · Industry Insights

Why Programmers Really Work Overtime: Broken Software Engineering, Not Code Volume

This article analyzes the root causes of programmer overtime, arguing it stems from management skipping software engineering practices — requirements analysis, technical design, process discipline, and realistic resource allocation — rather than actual workload, and shows how overtime fails to boost productivity due to efficiency decay.

Brooks's Lawagile misuseindustry culture
0 likes · 10 min read
Why Programmers Really Work Overtime: Broken Software Engineering, Not Code Volume
IT Services Circle
IT Services Circle
Sep 10, 2026 · Backend Development

marimo: Dependency-Graph Notebooks That Fix Jupyter's Hidden State

The article analyzes marimo, a Python notebook tool that replaces Jupyter's manual execution order with a reactive dependency graph, saves notebooks as plain .py files for Git-friendly diffs and tooling, supports interactive widgets and SQL within the same model, and enables dependency management via uv and PEP 723, while noting trade-offs like lazy mode for long-running cells and mutable object caveats.

JupyterPEP 723Python notebooks
0 likes · 12 min read
marimo: Dependency-Graph Notebooks That Fix Jupyter's Hidden State
Java Tech Enthusiast
Java Tech Enthusiast
Sep 10, 2026 · Backend Development

Migrating from Feign to @HttpExchange in Spring Boot 4: Why a Full Rewrite Isn't Worth It

The author shares practical experience replacing OpenFeign with Spring's @HttpExchange during a Spring Boot 4 upgrade, demonstrating configuration simplification, authentication handling via RestClient interceptors, error mapping with defaultStatusHandler, and the decision to coexist both clients rather than force a full migration.

@HttpExchangeArchitectureHTTP Client
0 likes · 15 min read
Migrating from Feign to @HttpExchange in Spring Boot 4: Why a Full Rewrite Isn't Worth It
Data Party THU
Data Party THU
Sep 10, 2026 · Artificial Intelligence

Harness Continual Learning: How Agents Evolve Without Model Fine-Tuning

Researchers from Nanjing University and University of Wollongong propose Harness Continual Learning (HCL), a framework where AI agents continuously adapt by evolving their system-level harness—prompts, memory, skills, tools, and routing—while keeping the base model frozen, demonstrating improved performance and controlled forgetting across diverse benchmarks.

ALFWorldAgent Continual LearningDeepSeek-V4
0 likes · 16 min read
Harness Continual Learning: How Agents Evolve Without Model Fine-Tuning