Tagged articles

Production Tuning

3 articles · Page 1 of 1

Sep 6, 2026 · Big Data

StarRocks Query Acceleration on Paimon: Production Tuning & Best Practices

This article details production practices for accelerating StarRocks queries on Paimon external tables, covering architecture, table design (partitioning, bucketing, compaction), dirty data handling, catalog configuration, predicate pushdown verification, SQL optimization with partition/bucket pruning, query method selection (direct, async materialized views, hot/cold tiering), and BE-level tuning.

Bucket PruningCompactionLakehouse

0 likes · 22 min read

StarRocks Query Acceleration on Paimon: Production Tuning & Best Practices

Xiaolin Talks Programming

Jul 24, 2026 · Backend Development

High-Availability Distributed Task Scheduling with Spring Boot & PowerJob: Production Hardening Guide

This guide shares a year of production experience migrating from basic @Scheduled to PowerJob for high-availability distributed task scheduling, covering Spring Boot integration, DAG workflow orchestration, MapReduce sharding, lease-based failover, JVM tuning, metadata DB protection, and idempotency patterns.

DAG WorkflowDistributed Task SchedulingIdempotency

0 likes · 18 min read

High-Availability Distributed Task Scheduling with Spring Boot & PowerJob: Production Hardening Guide

Cloud Architecture

Jun 7, 2026 · Cloud Native

Deep Dive into Kubernetes Scheduler: From Scheduling Cycle to Managing Ten‑Thousands of Pods

This guide explains why the kube‑scheduler becomes a bottleneck in large clusters, walks through its architecture, scheduling cycle, queue mechanics, constraint handling, plugin framework, multi‑scheduler designs, production‑grade tuning, observability, and real‑world case studies for achieving stable, high‑throughput pod placement.

Production Tuninghigh-throughputkube-scheduler

0 likes · 37 min read

Deep Dive into Kubernetes Scheduler: From Scheduling Cycle to Managing Ten‑Thousands of Pods