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Official Hello technology account, sharing tech insights and developments.

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HelloTech

Jun 28, 2022 · Cloud Native

Kubernetes Water Level Balancing Scheduler: Design, Implementation, and Evaluation

The water‑level‑balanced Kubernetes scheduler plugin continuously gathers historical CPU/memory usage from Prometheus, applies a water‑level algorithm during the PreFilter‑Score phases to place low‑utilization Pods on high‑utilization Nodes (and vice‑versa), thereby equalizing node load, improving cluster stability, and increasing overall resource utilization.

GoKubernetesPerformance

0 likes · 20 min read

Kubernetes Water Level Balancing Scheduler: Design, Implementation, and Evaluation

HelloTech

Jun 21, 2022 · Backend Development

Recommendation Engine Upgrade Path, Architecture, and Performance Optimization for the "Guangguang" Content Community

The article details Guangguang’s shift from a rule‑based, Hive‑driven recommendation pipeline to an algorithmic service that leverages Elasticsearch and Redis for multi‑source recall, coarse and fine model ranking, exposure filtering, cold‑start handling, latency optimizations, reliability monitoring, and future vector‑based enhancements.

ElasticsearchPerformance optimizationRedis

0 likes · 16 min read

Recommendation Engine Upgrade Path, Architecture, and Performance Optimization for the "Guangguang" Content Community

HelloTech

Jun 14, 2022 · R&D Management

Auction Mechanisms: Theory, Types, and Applications

The article surveys the evolution and theory of auction mechanisms—from classic English and Dutch formats to sealed‑bid first‑ and second‑price auctions—explains revenue‑equivalence, describes Vickrey‑Clarke‑Groves and Generalized Second‑Price designs, discusses practical uses such as GFP and future AI‑driven hybrids.

GSP auctionVCG mechanismVickrey auction

0 likes · 17 min read

Auction Mechanisms: Theory, Types, and Applications

HelloTech

May 30, 2022 · Artificial Intelligence

Harbor's Passive Growth Algorithms and Growth Engine: Practices and Insights

Harbor’s growth engine combines a passive, attribution‑driven traffic‑allocation algorithm with componentized ranking, search, and marketing systems—using pairwise/Listwise models, multi‑task CTR/CVR prediction, and automated strategy triggers—to align short‑term efficiency with long‑term LTV goals while moving toward causal inference and domain‑expert‑driven general models.

AIRankingRecommendation Systems

0 likes · 11 min read

Harbor's Passive Growth Algorithms and Growth Engine: Practices and Insights

HelloTech

May 26, 2022 · Artificial Intelligence

Hello's Automated Growth Algorithm Loop: C‑Side Scenarios, Challenges, and Active Growth Strategies

Hello’s automated C‑side growth algorithm loop integrates diverse traffic sources, semi‑supervised PU‑learning, graph‑based look‑alike targeting, causal uplift models for smart subsidies, and adaptive copy and external ad optimization, dramatically boosting ride‑hailing and lifestyle service revenue while minimizing engineering duplication.

AI PlatformRecommendation SystemsUplift Modeling

0 likes · 20 min read

Hello's Automated Growth Algorithm Loop: C‑Side Scenarios, Challenges, and Active Growth Strategies

HelloTech

May 13, 2022 · Backend Development

Redis Dual-Active Architecture: Hot-Standby, Dual-Write, and Bidirectional Synchronization Comparison

This article compares Redis dual‑active designs—hot‑standby, various dual‑write models, and bidirectional synchronization—showing hot‑standby’s high cost, dual‑write’s latency or consistency trade‑offs, and arguing that a middleware‑driven bidirectional sync, using replication protocols and fixed‑prefix keys to avoid loops, offers the most practical solution.

ClusterData SynchronizationDual-Active Architecture

0 likes · 14 min read

Redis Dual-Active Architecture: Hot-Standby, Dual-Write, and Bidirectional Synchronization Comparison

HelloTech

Apr 29, 2022 · Operations

Multi-Active Deployment Modes, Routing Rules, and Unitization in Data Center Architecture

The article explains multi‑active deployment modes—same‑city, cross‑city, and cross‑city multi‑active—along with routing rules (random, user‑ID, region) and unitization, describing how sharding IDs map traffic to central or unit data centers, and detailing middleware solutions for storage, messaging, SOA, and Snowflake ID generation to achieve scalable, highly available architecture.

Active-ActiveData Centerhigh availability

0 likes · 10 min read

Multi-Active Deployment Modes, Routing Rules, and Unitization in Data Center Architecture

HelloTech

Apr 25, 2022 · Big Data

Analyzing and Optimizing Slow Elasticsearch Queries in a Shared Cluster

In a shared Elasticsearch cluster, the team used slow‑log analysis to pinpoint costly queries caused by unnecessary fuzzy matches and integer‑mapped low‑cardinality fields, then optimized them by converting matches to filters and remapping those fields to keyword, re‑indexing, which cut latency from over 100 ms to under 10 ms and eliminated slow‑query alerts.

ElasticsearchPerformance optimizationSlow Query

0 likes · 10 min read

Analyzing and Optimizing Slow Elasticsearch Queries in a Shared Cluster

HelloTech

Apr 19, 2022 · Backend Development

Understanding Sentinel Cluster Rate Limiting and Handling Network Jitter

Sentinel’s cluster rate limiting adds a centralized token server that grants tokens to client instances before processing requests, and when network jitter causes request timeouts the client automatically falls back to local limiting, so configuring short request‑timeout values (e.g., 20 ms) is crucial for maintaining low latency and high availability in elastic, multi‑instance deployments.

JavaSentinelToken Server

0 likes · 8 min read

Understanding Sentinel Cluster Rate Limiting and Handling Network Jitter

HelloTech

Apr 11, 2022 · Artificial Intelligence

Precise Marketing Algorithm and Practice in HaLao

HaLao’s precise marketing system combines Pu‑Learning lookalike models, graph‑embedding user similarity analysis, and TSA/EM optimization within a robust feature‑engineering and deployment framework, delivering over 20% ROI gains and 3‑10× user growth while addressing low‑ROI and targeting inefficiencies.

AI in marketingData AnalysisMarketing Algorithms

0 likes · 9 min read

Precise Marketing Algorithm and Practice in HaLao