BestHub
Sign in
dbaplus Community
Author

dbaplus Community

Enterprise-level professional community for Database, BigData, and AIOps. Daily original articles, weekly online tech talks, monthly offline salons, and quarterly XCOPS&DAMS conferences—delivered by industry experts.

2.3k
Articles
1
Likes
3.8k
Views
0
Comments
Recent Articles

Latest from dbaplus Community

100 recent articles max
dbaplus Community
dbaplus Community
Jun 11, 2026 · Backend Development

Can You Trust AI to Code a Million‑Line Backend System? Lessons from Tencent’s LEGO Harness Engineering

This article examines whether AI can safely generate code for Tencent’s massive LEGO CDN backend—over a million lines of core code and three million lines of third‑party libraries—by detailing the challenges, a systematic five‑layer Harness Engineering architecture, concrete constraints, multi‑model code review, and the measurable efficiency gains and remaining risks.

AI codingHarness Engineeringbackend systems
0 likes · 25 min read
Can You Trust AI to Code a Million‑Line Backend System? Lessons from Tencent’s LEGO Harness Engineering
dbaplus Community
dbaplus Community
Jun 10, 2026 · Operations

Why Deploying Kubernetes on Just Three Servers Is Overkill

The article argues that for startups with only a handful of servers, using systemd and simple scripts is far more practical and cost‑effective than adopting heavyweight Kubernetes orchestration, which adds unnecessary complexity and hidden expenses.

Kubernetescost analysisoperations
0 likes · 8 min read
Why Deploying Kubernetes on Just Three Servers Is Overkill
dbaplus Community
dbaplus Community
Jun 8, 2026 · Operations

Can You Really Let a Memory Leak Run? Practical Insights and Risks

The article compiles several Zhihu answers that debate the feasibility of deliberately tolerating memory leaks by relying on periodic restarts, covering techniques like NPI‑GC, GitLab Sidekiq memory‑killer settings, Linux OOM‑killer configuration, and real‑world anecdotes that illustrate both benefits and drawbacks.

Memory LeakNPI-GCOOM killer
0 likes · 7 min read
Can You Really Let a Memory Leak Run? Practical Insights and Risks
dbaplus Community
dbaplus Community
Jun 7, 2026 · Backend Development

Midnight Crash: The ‘Impossible’ MyBatis‑Plus Pitfalls That Can Break Production

The article catalogs six production‑ready pitfalls of MyBatis‑Plus—duplicate Snowflake IDs, batch‑insert disorder, enum storage errors, camel‑case mismatches, auto‑fill failures, and JSON field loss—explains their root causes with concrete examples and code, and provides practical solutions to keep the framework reliable in high‑concurrency environments.

Batch InsertJSON storageJava
0 likes · 16 min read
Midnight Crash: The ‘Impossible’ MyBatis‑Plus Pitfalls That Can Break Production
dbaplus Community
dbaplus Community
Jun 6, 2026 · Fundamentals

Why DMA Is More Than Just Devices Bypassing the CPU

The article explains that DMA fundamentally changes data flow in a system by offloading memory transfers from the CPU, introduces cache‑coherency challenges, and requires careful handling of data visibility between CPU, cache, memory, and devices to avoid subtle bugs.

DMADevice DriversLinux DMA API
0 likes · 13 min read
Why DMA Is More Than Just Devices Bypassing the CPU
dbaplus Community
dbaplus Community
Jun 4, 2026 · Operations

Why Ops Engineers Still Skip tcpdump? The Command-Line Packet Capture Powerhouse

This hands‑on guide walks you through every practical aspect of using tcpdump—from basic commands and essential filters to saving, reading, advanced flag tricks, performance tuning, security considerations, real‑world case studies, and integration with tools like tshark and Wireshark—so you can capture and analyze network traffic efficiently and safely in production environments.

BPF filtersLinuxnetwork troubleshooting
0 likes · 22 min read
Why Ops Engineers Still Skip tcpdump? The Command-Line Packet Capture Powerhouse
dbaplus Community
dbaplus Community
Jun 3, 2026 · Big Data

Boosting SQL Compliance to 95%: Harness Solves AI’s “Memory Loss” in Data Warehouse

The article analyzes the challenges of AI‑generated SQL in a data‑warehouse environment—context loss, unstable rule enforcement, and token overflow—and presents a five‑layer Harness architecture that persists constraints, injects hooks, uses subagents, and refactors SKILL files, raising SQL compliance from 70‑80% to over 95% while reducing context compacting.

AIHooksSubagents
0 likes · 26 min read
Boosting SQL Compliance to 95%: Harness Solves AI’s “Memory Loss” in Data Warehouse