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Resource Optimization

115 articles · Page 1 of 2
Ops Community
Ops Community
Jul 24, 2026 · Operations

Comprehensive Filebeat Tuning Parameters to Reduce High Resource Usage

This guide walks through a systematic, evidence‑driven process for diagnosing and lowering Filebeat’s excessive CPU, memory, and file‑handle consumption—including version checks, process sampling, retry and queue analysis, registry handling, input configuration, parsing rules, queue sizing, output tuning, monitoring, and safe rollback procedures.

ConfigurationElasticsearchFilebeat
0 likes · 16 min read
Comprehensive Filebeat Tuning Parameters to Reduce High Resource Usage
DataFunSummit
DataFunSummit
Apr 27, 2026 · Artificial Intelligence

How Tencent Games Leverages AI to Turn Data Governance into a Service

Tencent Games’ data governance team details an AI‑driven, end‑to‑end semantic framework that shifts traditional rule‑based data management to a service‑oriented model, cutting storage waste by 30 %, halving development time, and boosting asset recommendation accuracy to 95 % across its global gaming platform.

AIBig DataData Governance
0 likes · 19 min read
How Tencent Games Leverages AI to Turn Data Governance into a Service
Huolala Tech
Huolala Tech
Mar 6, 2026 · Artificial Intelligence

How Huolala’s Dolphin Platform Cuts Large‑Model Inference Costs by Up to 60%

The article details how Huolala’s Dolphin platform engineers large‑model inference for high‑concurrency, long‑context, low‑latency production workloads, achieving 50‑60% GPU cost reduction through systematic resource allocation, model quantization, PD‑separation, speculative sampling, and kernel‑level optimizations while maintaining service stability.

GPU utilizationLarge Model InferenceResource Optimization
0 likes · 18 min read
How Huolala’s Dolphin Platform Cuts Large‑Model Inference Costs by Up to 60%
DataFunSummit
DataFunSummit
Jan 18, 2026 · Big Data

How Ray Reinvents AI Data Pipelines for Massive Multimodal Inference

This article examines the shortcomings of traditional big‑data engines for AI workloads, presents a Ray‑based heterogeneous fusion architecture that unifies CPU/GPU scheduling, Python ecosystems, and streaming‑batch processing, and details fault‑tolerance, checkpointing, compute‑storage separation, resource‑utilization, scalability, and observability improvements that enable thousands of nodes and dramatically higher GPU efficiency.

Big DataCloud NativeDistributed Computing
0 likes · 31 min read
How Ray Reinvents AI Data Pipelines for Massive Multimodal Inference
DataFunTalk
DataFunTalk
Sep 1, 2025 · Big Data

How JD Retail Tackles Data Governance Challenges to Boost Efficiency

JD Retail outlines the growing data management challenges it faces—including asset discovery, architecture agility, development quality, and rising IT costs—and presents a comprehensive data governance framework that leverages standards, agile architecture, development isolation, and resource optimization to improve efficiency and reduce operational expenses.

Big DataData GovernanceData Management
0 likes · 7 min read
How JD Retail Tackles Data Governance Challenges to Boost Efficiency
DataFunTalk
DataFunTalk
Aug 28, 2025 · Big Data

How JD Retail Tackles Data Governance Challenges to Boost Efficiency

JD Retail faces growing data volume, redundant models, and resource‑intensive storage, prompting a comprehensive data‑governance strategy that defines standards, streamlines architecture, isolates development, and optimizes compute and storage costs, ultimately enabling more efficient, secure, and agile data operations across the enterprise.

Big DataData GovernanceResource Optimization
0 likes · 8 min read
How JD Retail Tackles Data Governance Challenges to Boost Efficiency
DataFunTalk
DataFunTalk
Aug 27, 2025 · Big Data

How JD Retail Overcomes Data Governance Challenges to Boost Efficiency

JD Retail confronts growing data volume, redundant models, shared account risks, and rising storage costs, and responds with a comprehensive data governance framework that standardizes data, streamlines architecture, isolates development, and optimizes resources to achieve efficient, secure, and cost‑effective data operations.

Big DataData GovernanceData Management
0 likes · 8 min read
How JD Retail Overcomes Data Governance Challenges to Boost Efficiency
Alimama Tech
Alimama Tech
Aug 6, 2025 · Artificial Intelligence

How ComRecycle Cuts CPU/GPU Use by 23% in Taobao Ads: An Intelligent Computation Recycling Framework

This paper introduces ComRecycle, an intelligent computation recycling framework for Taobao's display advertising system that caches and reuses ad candidates across recall, coarse‑ranking, and fine‑ranking stages, achieving up to 23% CPU and 22% GPU savings while maintaining recommendation quality.

Online AdvertisingResource OptimizationUplift Modeling
0 likes · 17 min read
How ComRecycle Cuts CPU/GPU Use by 23% in Taobao Ads: An Intelligent Computation Recycling Framework
dbaplus Community
dbaplus Community
Jul 28, 2025 · Cloud Native

Why Your Container Strategy Is Quietly Killing Performance—and How to Fix It

A former monolith‑to‑containers migration revealed hidden performance penalties—namespace conversion, network overhead, storage I/O, and resource contention—plus over‑decomposed microservices, memory overallocation, bloated images, and mis‑tuned orchestration, all of which can be diagnosed and remedied with systematic measurement, tracing, and configuration adjustments.

Resource Optimizationcloud-nativeperformance
0 likes · 16 min read
Why Your Container Strategy Is Quietly Killing Performance—and How to Fix It
DataFunTalk
DataFunTalk
Jul 22, 2025 · Big Data

How OPPO’s Hybrid Cloud Transforms Big Data at Scale

OPPO’s big‑data platform adopts a hybrid‑cloud architecture that combines on‑premise IDC resources with public‑cloud elasticity, addressing massive data volumes, cost, security, and vendor lock‑in while delivering higher resource utilization, stability, and autonomous evolution for future workloads.

Cloud ComputingOPPOResource Optimization
0 likes · 13 min read
How OPPO’s Hybrid Cloud Transforms Big Data at Scale
Subtle Storm
Subtle Storm
Jun 19, 2025 · Cloud Computing

How ESS Enables Vertical Scaling of Cloud Services

The article explains Elastic Scaling Service (ESS), also known as Auto Scaling, detailing its core features such as dynamic resource adaptation, high‑availability guarantees, cost control, and multi‑cloud integration, and walks through its workflow, typical use cases, rule types, and best‑practice recommendations for effective vertical scaling of cloud workloads.

Auto ScalingCloud ComputingElastic Scaling
0 likes · 7 min read
How ESS Enables Vertical Scaling of Cloud Services
SF Technology Team
SF Technology Team
May 26, 2025 · Frontend Development

How We Cut LCP by 73% for a Billion‑User Membership Site

Facing the challenges of a billion‑user membership platform, we analyzed front‑end performance metrics, applied resource slimming, lazy loading, network optimizations, and SSR/pre‑rendering techniques, achieving up to 73% LCP reduction and dramatically improving page load speed and user retention.

Frontend PerformanceResource OptimizationSSR
0 likes · 15 min read
How We Cut LCP by 73% for a Billion‑User Membership Site
JD Tech
JD Tech
Apr 8, 2025 · Artificial Intelligence

MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Advertising Systems

The article presents MaRCA, a multi‑agent reinforcement learning framework that models user value, compute consumption, and action reward to allocate limited computation resources across the entire advertising recommendation pipeline, achieving higher ad revenue while keeping system load stable under fluctuating traffic and diverse request values.

Load-Aware SchedulingMulti-Agent Reinforcement LearningResource Optimization
0 likes · 16 min read
MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Advertising Systems
Ops Development & AI Practice
Ops Development & AI Practice
Feb 27, 2025 · Cloud Native

Boost Kubernetes Efficiency with Offline‑Online Hybrid Deployment

This article explains how to combine online services and offline tasks within a single Kubernetes cluster using offline‑online hybrid deployment, detailing its benefits such as cost savings and higher resource utilization, and walks through practical implementation methods like CronJobs, HPA, priority classes, node affinity, custom schedulers, and the open‑source Koordinator project, while also addressing associated challenges.

Cloud NativeKubernetesOffline Tasks
0 likes · 6 min read
Boost Kubernetes Efficiency with Offline‑Online Hybrid Deployment
JD Retail Technology
JD Retail Technology
Dec 19, 2024 · Big Data

JD.com Data Governance: Architecture, Key Technologies, and Future Directions

JD.com’s data‑governance framework combines a health‑score‑driven, automated platform that cross‑verifies audit logs, builds full‑link and operator‑level lineage, introduces standard fields, and optimizes resource mixing, task staggering, and cross‑datacenter scheduling, while targeting real‑time AI‑enhanced detection and full automation.

Data GovernanceJD.comResource Optimization
0 likes · 15 min read
JD.com Data Governance: Architecture, Key Technologies, and Future Directions
DataFunSummit
DataFunSummit
Dec 10, 2024 · Big Data

JD.com’s Big Data Governance: Practices, Key Technologies, and Future Outlook

This article presents JD.com’s comprehensive big‑data governance experience, detailing the background and challenges, the automated governance platform and its core technologies such as audit logs and full‑link lineage, strategies for resource optimization, and the roadmap toward real‑time, intelligent, and fully automated data governance.

AutomationData GovernanceJD.com
0 likes · 14 min read
JD.com’s Big Data Governance: Practices, Key Technologies, and Future Outlook
DevOps Cloud Academy
DevOps Cloud Academy
Dec 2, 2024 · Artificial Intelligence

Key Kubernetes Features that Benefit AI Inference Workloads

This article explains how Kubernetes’ native scalability, resource optimization, performance tuning, portability, and fault‑tolerance features align with the demands of AI inference, helping organizations run large ML models efficiently, cost‑effectively, and reliably across diverse environments.

AI InferenceFault ToleranceKubernetes
0 likes · 15 min read
Key Kubernetes Features that Benefit AI Inference Workloads
Linux Ops Smart Journey
Linux Ops Smart Journey
Oct 15, 2024 · Cloud Native

Master Kubernetes Vertical Pod Autoscaler (VPA): Installation, Configuration, and Real‑World Tuning

This guide explains what Kubernetes VPA is, its architecture, version compatibility, step‑by‑step installation, certificate setup, manifest generation, practical VPA configuration, validation procedures, performance testing, and known limitations, enabling you to optimize pod resources in cloud‑native clusters.

Cloud NativeKubernetesResource Optimization
0 likes · 12 min read
Master Kubernetes Vertical Pod Autoscaler (VPA): Installation, Configuration, and Real‑World Tuning
dbaplus Community
dbaplus Community
Aug 13, 2024 · Artificial Intelligence

Why Kubernetes Is the Ideal Platform for AI Inference: 5 Key Benefits

Kubernetes aligns perfectly with AI inference demands by offering built‑in scalability, resource and performance optimization, seamless portability across clouds, and robust fault‑tolerance, making it a cost‑effective, high‑availability foundation for deploying large‑scale machine‑learning models.

AI InferenceFault ToleranceKubernetes
0 likes · 10 min read
Why Kubernetes Is the Ideal Platform for AI Inference: 5 Key Benefits
Bilibili Tech
Bilibili Tech
Jul 19, 2024 · Big Data

Bilibili's One-Stop Big Data Cluster Management Platform (BMR) - Architecture and Implementation

Bilibili’s one‑stop Big Data Cluster Management Platform (BMR) consolidates HDFS, Spark, Flink, ClickHouse, Kafka and other services into a unified system that evolved through four stages—standardization, metadata‑driven construction, containerization, and observability—addressing node consistency, scaling, fault self‑healing, and resource optimization while delivering elastic scaling, automated start/stop, and future cost‑saving and stability enhancements.

Big Data PlatformCluster ManagementResource Optimization
0 likes · 12 min read
Bilibili's One-Stop Big Data Cluster Management Platform (BMR) - Architecture and Implementation
DataFunSummit
DataFunSummit
Apr 26, 2024 · Big Data

Didi's Big Data Cost Governance Practices

This article details Didi's comprehensive big data cost governance framework, covering its data architecture, asset management scoring, Hadoop and Elasticsearch cost optimization methods, and practical insights on organizational processes and incentives for effective cost control.

ElasticsearchHadoopResource Optimization
0 likes · 17 min read
Didi's Big Data Cost Governance Practices
Past Memory Big Data
Past Memory Big Data
Apr 23, 2024 · Big Data

ByConity Replaces ClickHouse for OLAP, Cutting Resource Costs Over 50%

MetaApp replaced ClickHouse with the open‑source cloud‑native warehouse ByConity, achieving more than 50% reduction in resource costs while delivering comparable or faster OLAP query performance across distinct, retention, conversion, and point‑lookup workloads, thanks to compute‑storage separation, read/write isolation, and minute‑level elastic scaling.

ByConityClickHouseCloud Native
0 likes · 15 min read
ByConity Replaces ClickHouse for OLAP, Cutting Resource Costs Over 50%
dbaplus Community
dbaplus Community
Apr 1, 2024 · Cloud Native

Scaling Cloud‑Native Containers at DeWu: Multi‑Cluster Management and Cost Optimization

This article details DeWu's cloud‑native transformation since August 2021, covering multi‑cluster federation, application profiling, custom scheduling plugins, resource pre‑reservation, co‑location of online and offline workloads, cost‑saving hardware choices, multi‑cloud strategy, and the development of the KubeAI platform for AI scenarios.

AI platformMulti-ClusterResource Optimization
0 likes · 24 min read
Scaling Cloud‑Native Containers at DeWu: Multi‑Cluster Management and Cost Optimization
vivo Internet Technology
vivo Internet Technology
Feb 28, 2024 · Cloud Native

vivo's Online-Offline Co-location Technology Practice: Data Center Resource Optimization

Vivo’s online‑offline co‑location platform consolidates latency‑sensitive online services and batch offline workloads on shared Kubernetes nodes, using differentiated resource views, priority‑based QoS, and safety watermarks to boost CPU utilization from 13 % to 25 %, adding 20 000 cores and 50 TB memory for peak‑hour offline tasks.

Container OrchestrationDevOpsKubernetes
0 likes · 17 min read
vivo's Online-Offline Co-location Technology Practice: Data Center Resource Optimization
ByteDance Data Platform
ByteDance Data Platform
Feb 21, 2024 · Big Data

How ByteDance’s DataLeap Automates Big Data Governance and Boosts Performance

ByteDance’s DataLeap suite tackles the complexities of large‑scale data platform governance by identifying manual tuning pain points, deploying automated rule‑engine recommendations, and optimizing resource allocation, ultimately improving stability, reducing costs, and enhancing overall system health across thousands of Spark, Flink and other tasks.

Data GovernanceResource Optimizationreal-time monitoring
0 likes · 14 min read
How ByteDance’s DataLeap Automates Big Data Governance and Boosts Performance
dbaplus Community
dbaplus Community
Feb 18, 2024 · Operations

How Bilibili Cut IT Costs by Billions with FinOps: A Deep Dive

This article details Bilibili's FinOps-driven approach to IT cost management, covering budgeting, resource utilization dashboards, financial metrics, cost modeling, SKU pricing, and operational practices that together saved the company hundreds of millions of yuan while supporting continued growth.

FinOpsIT cost managementResource Optimization
0 likes · 24 min read
How Bilibili Cut IT Costs by Billions with FinOps: A Deep Dive
JD Retail Technology
JD Retail Technology
Feb 8, 2024 · Frontend Development

Frontend Optimization Strategies for High‑Concurrency Interactive H5 during the Spring Festival Gala

This article details how the front‑end team tackled the massive traffic and performance challenges of the Spring Festival Gala interactive H5 by optimizing static resources, employing WebP and sprite techniques, implementing traffic‑shaping and localStorage caching, and automating engineering workflows to ensure a stable, smooth user experience.

EngineeringResource OptimizationWebP
0 likes · 12 min read
Frontend Optimization Strategies for High‑Concurrency Interactive H5 during the Spring Festival Gala
Rare Earth Juejin Tech Community
Rare Earth Juejin Tech Community
Feb 2, 2024 · Mobile Development

Android APK Size Optimization: Removing Duplicate Resources and Image Compression with a Gradle Plugin

This article explains how the Android resources.arsc file is generated, identifies the problem of duplicate and uncompressed image resources in multi‑module projects, and presents a Gradle‑based solution that inserts a custom task after processReleaseResources to deduplicate resources, compress images using pngquant, guetzli and cwebp, and repack the .ap_ files, resulting in significant APK size reduction.

APKAndroidGradle Plugin
0 likes · 10 min read
Android APK Size Optimization: Removing Duplicate Resources and Image Compression with a Gradle Plugin
Yum! Tech Team
Yum! Tech Team
Jan 29, 2024 · Cloud Computing

Flexible Compute Scheduling Practices in the Restaurant Industry: A Yum China Case Study

This article examines the challenges of uneven compute resource distribution across China and presents Yum China's practical approaches—including multi‑unit deployment, dual‑data‑center scheduling, and supporting platforms—to achieve flexible, cost‑effective compute scheduling for the restaurant sector.

Compute SchedulingResource OptimizationYum China
0 likes · 5 min read
Flexible Compute Scheduling Practices in the Restaurant Industry: A Yum China Case Study
ByteDance Data Platform
ByteDance Data Platform
Jan 24, 2024 · Big Data

How ByteDance Cut Billions in Event‑Tracking Costs with Smart Data Governance

This article details ByteDance's end‑to‑end event‑tracking cost governance, covering background, strategies, large‑scale data pipelines, resource challenges, control mechanisms, automated and supervised governance modes, and the substantial savings achieved through point filtering, tiered prioritization, and sampling.

Data PipelineResource Optimizationcost governance
0 likes · 16 min read
How ByteDance Cut Billions in Event‑Tracking Costs with Smart Data Governance
Soul Technical Team
Soul Technical Team
Jan 9, 2024 · Mobile Development

Package Size Optimization: Large Resource Detection, Unused Assets Scanning, and Resource Size Gatekeeping for Mobile Apps

This article describes a systematic approach to reducing mobile app package size by detecting oversized resources, scanning unused assets, enforcing size checkpoints during development, and integrating automated validation into the CI/CD pipeline, illustrated with tools, workflows, and results.

CI/CDPackage SizeResource Optimization
0 likes · 10 min read
Package Size Optimization: Large Resource Detection, Unused Assets Scanning, and Resource Size Gatekeeping for Mobile Apps
DataFunTalk
DataFunTalk
Jan 8, 2024 · Big Data

Didi's Big Data Cost Governance Practices and Framework

This article presents Didi's comprehensive big data cost governance approach, detailing the overall framework, data system architecture, asset management platform, Hadoop and Elasticsearch cost‑control practices, metadata‑driven optimization, and organizational insights for effective resource and budget management.

MetadataResource Optimizationcost governance
0 likes · 19 min read
Didi's Big Data Cost Governance Practices and Framework
Alibaba Cloud Native
Alibaba Cloud Native
Nov 24, 2023 · Cloud Native

How Koordinator Boosts CPU Utilization and Cuts Costs in Large‑Scale Mixed Workloads

Koordinator, an open‑source cloud‑native mixed‑workload scheduler born from Alibaba’s internal container orchestration experience, enables Xiaohongshu to reclaim idle resources, improve CPU utilization beyond 45%, reduce resource costs by millions of core‑hours, and seamlessly integrate Kubernetes with YARN for batch and AI workloads.

Cloud NativeResource OptimizationYARN
0 likes · 18 min read
How Koordinator Boosts CPU Utilization and Cuts Costs in Large‑Scale Mixed Workloads
DataFunTalk
DataFunTalk
Nov 20, 2023 · Big Data

Automated Data Governance and Optimization with Volcano Engine DataLeap: Challenges, Solutions, and Benefits

This article examines the challenges faced by Volcano Engine's DataLeap in computational governance, outlines automated solutions such as real‑time rule engines and monitoring, and presents concrete performance and cost benefits achieved through resource optimization across large‑scale Spark and Hadoop workloads.

AutomationBig DataData Governance
0 likes · 13 min read
Automated Data Governance and Optimization with Volcano Engine DataLeap: Challenges, Solutions, and Benefits
AntTech
AntTech
Nov 10, 2023 · Cloud Native

Highlights of the 2023 Financial Industry Cloud‑Native Green Computing Development Forum

The forum held on October 25, co‑organized by China Financial Computer magazine and Ant Group, gathered experts from eleven financial institutions to share cloud‑native and green‑computing practices—including distributed stacks, hybrid deployments, secure containers, serverless, and continuous profiling—aimed at advancing low‑carbon, high‑quality compute in the financial sector.

Resource Optimizationcontainerfinancial technology
0 likes · 4 min read
Highlights of the 2023 Financial Industry Cloud‑Native Green Computing Development Forum
Volcano Engine Developer Services
Volcano Engine Developer Services
Oct 12, 2023 · Cloud Native

How ByteDance’s Katalyst Memory Advisor Boosts Kubernetes Memory Efficiency

This article explains the challenges of memory management in mixed workloads, outlines the limitations of native Linux and Kubernetes mechanisms, and details how ByteDance’s open‑source Katalyst Memory Advisor improves memory utilization, QoS, and eviction handling through user‑space policies, multi‑dimensional interference detection, and adaptive mitigation actions.

KatalystKubernetesMemory Management
0 likes · 17 min read
How ByteDance’s Katalyst Memory Advisor Boosts Kubernetes Memory Efficiency
ByteDance Cloud Native
ByteDance Cloud Native
Oct 11, 2023 · Cloud Native

How Katalyst Memory Advisor Optimizes Kubernetes Memory Management in Mixed Workloads

This article explains the challenges of memory management in mixed Kubernetes workloads, introduces ByteDance's open‑source Katalyst Memory Advisor, details native allocation and reclamation mechanisms, outlines its architecture and plugins, and describes interference detection and multi‑level mitigation strategies to improve memory utilization and service quality.

Cloud NativeKatalystKubernetes
0 likes · 19 min read
How Katalyst Memory Advisor Optimizes Kubernetes Memory Management in Mixed Workloads
Architect
Architect
Aug 10, 2023 · Operations

Capacity Management: Goals, Stages, Optimization Techniques, and Scaling Practices

The article explains how capacity management balances cost control and service quality through defined goals, three development stages, detailed resource optimization methods, stress‑testing metrics and standards, and automated scaling to achieve significant cost reductions while maintaining system stability.

Capacity ManagementOperationsPerformance Testing
0 likes · 10 min read
Capacity Management: Goals, Stages, Optimization Techniques, and Scaling Practices
HomeTech
HomeTech
Aug 9, 2023 · R&D Management

Elastic R&D: Optimizing Quality Assurance Work Distribution

This article analyzes the problem of test resource scarcity in software development teams and proposes an elastic R&D approach that dynamically balances development and testing workloads to maximize delivery efficiency without changing team composition.

Resource Optimizationdelivery efficiencyelastic R&D
0 likes · 18 min read
Elastic R&D: Optimizing Quality Assurance Work Distribution
DeWu Technology
DeWu Technology
Jul 19, 2023 · Mobile Development

Resource Optimization Practices in DeWu App: Plugins, Image Compression, Deduplication, and ARSC Shrinking

DeWu reduces its APK size by removing unused plugin resources, compressing images with WebP, Guetzli, PNGQuant and Gifsicle, deduplicating and obfuscating ARSC entries, applying 7‑zip compression, delivering large assets dynamically, and continuously cleaning unused resources through compile‑time checks and runtime scanning.

APKARSCAndroid
0 likes · 15 min read
Resource Optimization Practices in DeWu App: Plugins, Image Compression, Deduplication, and ARSC Shrinking
Huolala Tech
Huolala Tech
Jul 6, 2023 · Big Data

How to Optimize DAG Task Scheduling to Cut 30 Minutes from Critical Path

This article explains how to analyze and automatically optimize complex DAG‑based data platform task chains, identify bottlenecks, adjust upstream task timings, and reduce critical‑path execution time by up to 30 minutes while preventing resource contention and peak overloads.

Big DataDAGResource Optimization
0 likes · 15 min read
How to Optimize DAG Task Scheduling to Cut 30 Minutes from Critical Path
Data Thinking Notes
Data Thinking Notes
Jun 11, 2023 · Product Management

How to Score Data Tags for Better Governance and Resource Optimization

This article explains why tag scoring is essential for data governance, outlines a five‑dimensional scoring model—including usage, attention, quality, continuous optimization, and security—and demonstrates how the scores can drive dashboards, alerts, and resource‑saving decisions.

Data GovernanceResource Optimizationmetrics
0 likes · 9 min read
How to Score Data Tags for Better Governance and Resource Optimization
Baidu Geek Talk
Baidu Geek Talk
Jun 7, 2023 · Big Data

Optimization Practices for Offline Big Data Computing and Storage at Baidu MEG

Baidu MEG’s offline big‑data platform cut costs and boost efficiency by applying intelligent scheduling, storage‑separation, tide‑power workload profiling, remote shuffle services and dynamic quota resizing, raising compute utilization from 55 % to 80 % and storage from 63 % to 78 %, slashing annual expenses by roughly ¥70 million and reducing task duration by about 30 %.

RSSResource Optimizationintelligent scheduling
0 likes · 12 min read
Optimization Practices for Offline Big Data Computing and Storage at Baidu MEG
Baidu Geek Talk
Baidu Geek Talk
Jun 5, 2023 · Mobile Development

Mach-O File Analysis and Resource Optimization for Baidu iOS App

The article explains how Baidu’s iOS app reduces package size by examining Mach‑O binaries with tools like otool and MachOView, then applying Python scripts to locate oversized assets, eliminate unused configuration files, and deduplicate resources, achieving a 12 MB reduction and a repeatable optimization pipeline.

Mach-OResource Optimizationbinary analysis
0 likes · 18 min read
Mach-O File Analysis and Resource Optimization for Baidu iOS App
High Availability Architecture
High Availability Architecture
May 26, 2023 · Big Data

Amiya: Dynamic Overcommit Component for Bilibili Offline Big Data Cluster Resource Scheduling

This article introduces Amiya, a self‑developed overcommit component that dynamically increases Yarn memory and vCore capacity on Bilibili's offline big‑data clusters, details its architecture, key implementation of overcommit, eviction and mixed‑deployment strategies, and evaluates its resource‑utilization impact.

Cluster ManagementOvercommitResource Optimization
0 likes · 22 min read
Amiya: Dynamic Overcommit Component for Bilibili Offline Big Data Cluster Resource Scheduling
Baidu Geek Talk
Baidu Geek Talk
May 25, 2023 · Cloud Native

OpenFaaS Product Background, Business Scenario, Architecture Design and Implementation

To replace wasteful physical‑machine scripts on Baidu’s Aladdin search platform, the team adopted OpenFaaS on a Kubernetes cluster, using its event‑connector, Prometheus‑driven autoscaling, and high‑availability gateway to run synchronous, scheduled, and asynchronous functions, achieving stable deployments with only 14 % CPU and 8 % memory of the original.

KubernetesResource Optimizationopenfaas
0 likes · 14 min read
OpenFaaS Product Background, Business Scenario, Architecture Design and Implementation
NetEase Media Technology Team
NetEase Media Technology Team
May 23, 2023 · Cloud Native

How NetEase Media Scaled Flink with Kubernetes: Architecture, Optimizations, and Lessons Learned

This article details NetEase Media's migration of most Flink jobs to a self‑built real‑time platform on Kubernetes, covering the benefits of K8s isolation, the chosen native deployment mode, performance‑critical optimizations, monitoring, resource‑recommendation, and future directions for cloud‑native streaming workloads.

Cloud NativeFlinkKubernetes
0 likes · 20 min read
How NetEase Media Scaled Flink with Kubernetes: Architecture, Optimizations, and Lessons Learned
dbaplus Community
dbaplus Community
Apr 26, 2023 · Big Data

How Bilibili Scaled Big Data Governance: From Reactive to Proactive

This article details Bilibili's journey from rapid data growth to a structured big‑data governance framework, describing the challenges of fragmented ownership, the "Wanglou" project launch, asset metadata modeling, metric design, user engagement strategies, automation tools, and the shift from reactive to proactive, multi‑dimensional resource management.

Resource Optimizationmetricsstrategy
0 likes · 21 min read
How Bilibili Scaled Big Data Governance: From Reactive to Proactive
Cloud Native Technology Community
Cloud Native Technology Community
Apr 6, 2023 · Industry Insights

What Sysdig’s 2023 Cloud‑Native Security Report Reveals About Container Risks

Sysdig’s 2023 Cloud‑Native Security and Usage Report uncovers that most container images carry critical vulnerabilities, a majority of granted permissions go unused, many containers lack proper CPU limits, and significant cloud‑cost waste persists, prompting urgent recommendations for identity‑access management, vulnerability prioritisation, and zero‑trust adoption.

Cloud NativeResource OptimizationSysdig report
0 likes · 8 min read
What Sysdig’s 2023 Cloud‑Native Security Report Reveals About Container Risks
JD Cloud Developers
JD Cloud Developers
Mar 28, 2023 · Mobile Development

How We Cut a 117 MB Android App to 74 MB: Proven APK Shrink Strategies

Facing rapid growth of its Android app size beyond 117 MB, JD Finance implemented a comprehensive APK slimming project in 2022, analyzing APK components, SDKs, and ZIP structure, then applying image optimization, R‑file inlining, resource obfuscation, dynamic SO loading, and build‑time configurations to reduce the package to 74 MB and improve download conversion rates.

APKAndroidApp Size
0 likes · 20 min read
How We Cut a 117 MB Android App to 74 MB: Proven APK Shrink Strategies
Bilibili Tech
Bilibili Tech
Mar 28, 2023 · Operations

Bilibili's Capacity Management Platform: Design, Implementation, and S12 Event Support

Bilibili's capacity management platform integrates foundational data, VPA/HPA scaling, quota control, and visual dashboards to streamline resource usage, cut costs, and boost stability, delivering event‑specific support such as for S12 that slashes release issues by 80% and online failures by 90%, while planning predictive scaling and risk control.

BilibiliCapacity ManagementCost Control
0 likes · 13 min read
Bilibili's Capacity Management Platform: Design, Implementation, and S12 Event Support
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Mar 24, 2023 · Cloud Native

Serverless Adoption at NetEase Cloud Music: Architecture, Migration, and Benefits

NetEase Cloud Music transitioned from public FaaS to a private Knative‑based serverless platform, delivering elastic audio‑video processing, multi‑language support, event‑driven scaling across hybrid private and public clouds, boosting resource utilization and cutting costs, though cold‑starts and container expertise remain challenges.

Cloud NativeKnativeResource Optimization
0 likes · 16 min read
Serverless Adoption at NetEase Cloud Music: Architecture, Migration, and Benefits
Alibaba Cloud Native
Alibaba Cloud Native
Mar 16, 2023 · Cloud Native

How Koordinator Supercharges ACK Container Scheduling and Resource Efficiency

Koordinator, an open‑source cloud‑native scheduler from Alibaba, enhances container performance and reduces cluster costs by introducing mixed‑workload placement, resource profiling, load‑aware scheduling, and differentiated SLO mixing, now fully integrated into Alibaba Cloud ACK with a new v1.1.1‑ack.1 release.

ACKCloud NativeKoordinator
0 likes · 10 min read
How Koordinator Supercharges ACK Container Scheduling and Resource Efficiency
Efficient Ops
Efficient Ops
Feb 22, 2023 · Operations

Zero‑Downtime Secrets: TT Voice’s Multi‑Cloud, AIOps & Resource Optimization

During the 2022 TT Voice Annual Summit, the technical team tackled stability, real‑time risk control, and resource utilization challenges by implementing strict change management, multi‑cloud high‑availability networking, AIOps‑driven monitoring, big‑data processing, and cloud‑native scaling strategies, ultimately delivering zero‑fault operation.

AIOpsResource Optimizationcloud-native
0 likes · 15 min read
Zero‑Downtime Secrets: TT Voice’s Multi‑Cloud, AIOps & Resource Optimization
Zhuanzhuan Tech
Zhuanzhuan Tech
Feb 8, 2023 · Operations

Capacity Management: Goals, Practices, and Optimization at ZuanZuan

This article outlines ZuanZuan’s capacity management approach, covering its objectives, development stages, water‑level metrics, resource optimization techniques, cluster capacity assessment, stress‑test indicators and standards, as well as scaling strategies, demonstrating how systematic capacity management reduces costs while ensuring service stability.

Capacity ManagementResource OptimizationScaling
0 likes · 12 min read
Capacity Management: Goals, Practices, and Optimization at ZuanZuan
Cloud Native Technology Community
Cloud Native Technology Community
Feb 7, 2023 · Cloud Native

Machine Learning‑Based Optimization of Kubernetes Resources

This article explains how machine learning can be applied to automatically optimize CPU and memory settings in Kubernetes clusters, covering both experiment‑driven and observation‑driven approaches, step‑by‑step procedures, best‑practice recommendations, and the benefits of combining both methods for efficient, scalable cloud‑native operations.

AutoscalingKubernetesResource Optimization
0 likes · 11 min read
Machine Learning‑Based Optimization of Kubernetes Resources
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Jan 17, 2023 · Big Data

How NetEase Cloud Music Cut Data Pipeline Delays by 60% with Full‑Link Baseline Governance

This case study details NetEase Cloud Music's full‑link baseline governance initiative, outlining the challenges of massive data pipelines, the metrics used to measure success, the three‑pronged action plan (infrastructure, task optimization, and standards), and the resulting improvements in availability, resource utilization, and monitoring accuracy.

Big DataData OpsData Pipeline
0 likes · 11 min read
How NetEase Cloud Music Cut Data Pipeline Delays by 60% with Full‑Link Baseline Governance
Tencent Cloud Developer
Tencent Cloud Developer
Dec 26, 2022 · Cloud Native

Challenges and Optimization Strategies for Containerized Deployment of Online Services on Kubernetes

Tencent’s shift from VMs to Kubernetes for massive online services faces pod‑size rigidity, heterogeneous node balancing, elastic scaling, and massive cluster‑pool mapping, prompting optimizations such as dynamic CPU compression, custom load‑aware scheduling, collaborative HPA/VPA scaling, dynamic quota migration, unified routing‑sync, and an automated decision‑tree‑driven self‑healing workflow for container‑destruction failures.

Dynamic SchedulingKubernetesResource Optimization
0 likes · 12 min read
Challenges and Optimization Strategies for Containerized Deployment of Online Services on Kubernetes
DataFunSummit
DataFunSummit
Oct 22, 2022 · Big Data

Tencent Music's Data Asset Management and Governance Practices

The article details Tencent Music's data governance journey, describing the background of rapid resource growth, challenges in cost management, a multi‑layered governance methodology—including metadata, tiered storage, and a Lego metadata platform—and the resulting improvements in resource utilization and data quality.

Big DataData GovernanceResource Optimization
0 likes · 14 min read
Tencent Music's Data Asset Management and Governance Practices
Tencent Cloud Developer
Tencent Cloud Developer
Sep 29, 2022 · Cloud Native

Improving Kubernetes Cluster Utilization: Practices and Optimization Strategies

The session detailed how Tencent’s container experts boost Kubernetes cluster utilization by correcting pod resource requests, employing two‑level auto‑scaling, dynamic over‑commit, adaptive scheduling and eviction, and using HPA/EHPA/VPA, achieving up to 38.7% node usage and roughly 60% cost savings in real‑world workloads.

Auto ScalingKubernetesPod Scheduling
0 likes · 11 min read
Improving Kubernetes Cluster Utilization: Practices and Optimization Strategies
Baidu Geek Talk
Baidu Geek Talk
Aug 3, 2022 · Mobile Development

How Baidu App Shrinks Android APK Size with Advanced Resource Optimizations

This article details Baidu's multi‑step Android APK resource‑size reduction strategy, covering the structure of APK resources, built‑in AAPT2 optimizations, custom path and filename shortening, resource‑name collapsing, sparse entry encoding, image compression, duplicate‑resource handling, and the impact of AAB and Jetpack Compose on overall package size.

AAPT2APKAndroid
0 likes · 21 min read
How Baidu App Shrinks Android APK Size with Advanced Resource Optimizations
Baidu App Technology
Baidu App Technology
Aug 2, 2022 · Mobile Development

Baidu App Android APK Resource Optimization Practices

The article details Baidu App’s third‑stage Android APK size reduction, explaining the res/ and assets structure, reviewing AGP’s OptimizeResources, ShrinkResources and new flags, and describing a custom AAPT2‑based tool that shortens paths and filenames, removes extensions, collapses names, uses sparse encoding, integrates third‑party guards and image‑compression techniques to significantly shrink the package.

AAPT2APKAndroid
0 likes · 19 min read
Baidu App Android APK Resource Optimization Practices
Dada Group Technology
Dada Group Technology
Jul 28, 2022 · Mobile Development

How to Shrink Android APK Size: Proven Strategies and Tools

This article details a comprehensive, step‑by‑step approach to reducing Android APK size—including library pruning, resource compression, class file optimization, and automated monitoring—to keep app packages lightweight and prevent size regression over successive releases.

APKAndroidApp Size
0 likes · 14 min read
How to Shrink Android APK Size: Proven Strategies and Tools
Baidu Geek Talk
Baidu Geek Talk
Jul 18, 2022 · Artificial Intelligence

GPU Container Virtualization for AI Heterogeneous Computing: Architecture and Best Practices

The article surveys GPU container virtualization for AI heterogeneous computing, detailing utilization challenges, historical architectures, various virtualization methods, Baidu's dual-engine user- and kernel-space design with isolation and scheduling features, performance benefits, best‑practice scenarios, and deployment guidance, concluding with a technical Q&A.

AI computingGPU virtualizationMPS
0 likes · 30 min read
GPU Container Virtualization for AI Heterogeneous Computing: Architecture and Best Practices
Baidu Intelligent Cloud Tech Hub
Baidu Intelligent Cloud Tech Hub
Jul 13, 2022 · Artificial Intelligence

Unlocking GPU Efficiency: Baidu’s Dual‑Engine Container Virtualization for AI

This article explores Baidu’s cutting‑edge GPU container virtualization architecture, detailing the challenges of low GPU utilization in AI workloads, the dual‑engine (user‑space and kernel‑space) isolation mechanisms, various mixing strategies, performance evaluations, and best‑practice recommendations for maximizing resource efficiency in large‑scale AI deployments.

AI infrastructureGPU virtualizationMixed Scheduling
0 likes · 31 min read
Unlocking GPU Efficiency: Baidu’s Dual‑Engine Container Virtualization for AI
Zuoyebang Tech Team
Zuoyebang Tech Team
Jun 17, 2022 · Big Data

How FlinkSQL Auto‑Tuning Saves Resources and Guarantees SLA

This article describes the design and implementation of an automated FlinkSQL tuning system that monitors metrics, evaluates task health with rule‑based logic, calculates optimal resource adjustments, and performs fast scaling to reduce cluster waste, lower operational costs, and maintain SLA compliance.

AkkaAuto ScalingFlink
0 likes · 15 min read
How FlinkSQL Auto‑Tuning Saves Resources and Guarantees SLA
Zuoyebang Tech Team
Zuoyebang Tech Team
May 27, 2022 · Cloud Native

How We Scaled 10,000+ K8s CronJobs with Serverless and Solved Node Instability

This article describes the challenges encountered when migrating tens of thousands of Kubernetes cronjobs from VMs to a cluster—node instability, low resource utilization, and scheduling delays—and explains how introducing a serverless architecture with virtual nodes, a custom job scheduler, unified logging and monitoring, and sandbox reuse restored stability, improved performance, and reduced resource costs by about 70%.

CronJobKubernetesResource Optimization
0 likes · 9 min read
How We Scaled 10,000+ K8s CronJobs with Serverless and Solved Node Instability
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Apr 29, 2022 · Game Development

Art Asset Management and Testing Practices in Game Development

This article outlines practical strategies for organizing, reducing, and testing art assets in game development, covering resource reference standards, systematic reduction workflows, timely management of seasonal assets, detailed QA testing guidelines, and solutions to common testing challenges.

Game DevelopmentQA TestingResource Optimization
0 likes · 15 min read
Art Asset Management and Testing Practices in Game Development
Alibaba Cloud Native
Alibaba Cloud Native
Apr 6, 2022 · Cloud Native

How Koordinator Brings Cloud‑Native Mixed‑Workload Scheduling to Scale

Koordinator, an open‑source cloud‑native scheduler born from Alibaba's massive production practice, enables efficient, low‑cost mixed‑workload orchestration on Kubernetes by addressing integration challenges, offering a resource‑oversell model, and providing zero‑intrusion deployment for both cloud and on‑prem environments.

Cloud NativeKubernetesMixed Workload Scheduling
0 likes · 14 min read
How Koordinator Brings Cloud‑Native Mixed‑Workload Scheduling to Scale
Dada Group Technology
Dada Group Technology
Mar 25, 2022 · Backend Development

Optimizing Log4j2 Logging: Reducing Disk and CPU Usage, Asynchronous Logging, and Traceability with ThreadLocal and TTL

This article presents a comprehensive approach to optimizing Log4j2 logging in high‑traffic Java services by reducing disk and CPU consumption through log level control and pattern tuning, adopting asynchronous logging, and enabling end‑to‑end request traceability using ThreadLocal, TransmittableThreadLocal, and MDC techniques, supported by performance test results and practical recommendations.

Resource OptimizationTTLThreadLocal
0 likes · 14 min read
Optimizing Log4j2 Logging: Reducing Disk and CPU Usage, Asynchronous Logging, and Traceability with ThreadLocal and TTL
TAL Education Technology
TAL Education Technology
Mar 24, 2022 · Cloud Computing

Optimizing Container Resource Utilization and Cost at TAL Education

This article details TAL Education's systematic approach to improving container CPU utilization and reducing cloud expenses through dynamic scaling, resource overcommit strategies, mixed online‑offline deployments, and careful selection of public‑cloud compute types, supported by real‑world data and best‑practice recommendations.

Container OvercommitCost EfficiencyDynamic Scaling
0 likes · 12 min read
Optimizing Container Resource Utilization and Cost at TAL Education
Architects' Tech Alliance
Architects' Tech Alliance
Feb 22, 2022 · Cloud Computing

Understanding China's “East Data West Computing” Initiative: Goals, Rationale, and Implementation

The “East Data West Computing” program is a national strategy that relocates computing workloads from data‑intensive eastern regions to resource‑rich western areas by building a network of data‑center hubs and clusters, aiming to balance supply and demand, improve energy efficiency, and boost overall computing capacity.

Big DataData CentersEast Data West Computing
0 likes · 7 min read
Understanding China's “East Data West Computing” Initiative: Goals, Rationale, and Implementation
High Availability Architecture
High Availability Architecture
Feb 11, 2022 · Cloud Native

Cloud‑Native Migration of Tencent Happy Game Studio Backend Using Istio Service Mesh

The article details how Tencent's Happy Game Studio transformed its large‑scale, low‑utilization backend from a legacy distributed architecture to a cloud‑native, Istio‑enabled service‑mesh platform, achieving significant resource savings, smoother deployments, and improved observability across game, CGI, and storage services.

IstioKubernetesResource Optimization
0 likes · 16 min read
Cloud‑Native Migration of Tencent Happy Game Studio Backend Using Istio Service Mesh
Baidu Geek Talk
Baidu Geek Talk
Jan 12, 2022 · Backend Development

Serverless Architecture Evolution: Baidu Search Content Platform's FaaS and Intelligent Transformation

Baidu’s search content platform transitioned to a serverless, FaaS‑based architecture with intelligent scheduling and automated control, cutting resource waste by 87%, boosting automatic recovery to 96.7%, and delivering roughly tenfold productivity gains across development, deployment, and maintenance while simplifying scalability and high‑availability concerns.

FaaSResource OptimizationSystem Automation
0 likes · 27 min read
Serverless Architecture Evolution: Baidu Search Content Platform's FaaS and Intelligent Transformation
58 Tech
58 Tech
Jan 10, 2022 · Artificial Intelligence

Resource Utilization Optimization Practices for the 58.com Machine Learning Platform (WPAI)

This article details the 58.com WPAI machine learning platform's architecture and the optimizations applied to training task scheduling, inference service elastic scaling, and offline‑online resource mixing, demonstrating how these techniques significantly improve GPU/CPU utilization and inference performance across both GPU and CPU environments.

AIElastic ScalingInference Acceleration
0 likes · 27 min read
Resource Utilization Optimization Practices for the 58.com Machine Learning Platform (WPAI)
Efficient Ops
Efficient Ops
Dec 19, 2021 · R&D Management

Optimizing IT Resources: Strategic Change Management for Cost Reduction

This article examines why IT talent is the most expensive resource, analyzes environmental, temporal, and human factors, and proposes a structured change management framework—including clear methodology, strong leadership support, and iterative improvement principles—to optimize IT resource allocation and reduce costs.

IT resourcesR&D ManagementResource Optimization
0 likes · 9 min read
Optimizing IT Resources: Strategic Change Management for Cost Reduction
Beike Product & Technology
Beike Product & Technology
Dec 17, 2021 · Operations

Practices for Monitoring, Resource Optimization, and Containerization of Large-Scale Flink Jobs at Beike

This article describes Beike's real‑time computing team's end‑to‑end practices for collecting and storing Flink metrics, building visual monitoring dashboards, implementing multi‑level alerting, analyzing logs, estimating CPU and memory resources, and deploying Flink on Kubernetes with containerization and storage separation to improve stability, resource utilization, and operational efficiency.

FlinkKubernetesMonitoring
0 likes · 25 min read
Practices for Monitoring, Resource Optimization, and Containerization of Large-Scale Flink Jobs at Beike
Kuaishou Tech
Kuaishou Tech
Dec 3, 2021 · Backend Development

Evolution of Kuaishou's Video Infrastructure: Architecture, Fine‑grained Operations, and Infrastructure Promotion

This talk outlines the evolution of Kuaishou's video infrastructure—from its early service‑oriented design through workflow‑engine and FaaS upgrades, to fine‑grained ROI‑driven resource management and infrastructure promotion, highlighting lessons shared with Netflix and Facebook and future functional‑declaration directions.

AI predictionBackend ArchitectureCloud Computing
0 likes · 16 min read
Evolution of Kuaishou's Video Infrastructure: Architecture, Fine‑grained Operations, and Infrastructure Promotion
58UXD
58UXD
Nov 26, 2021 · Product Management

How Redesigning a Meeting‑Room System Boosted Usage by 26% – A Product Design Case Study

This case study outlines how a cross‑functional design team re‑examined meeting‑room usage, identified low utilization, set clear product goals, implemented shorter reservation slots, room‑grab features, richer room details, and system integrations, resulting in a 26% rise in daily bookings and improved efficiency.

Resource OptimizationUXmeeting room
0 likes · 7 min read
How Redesigning a Meeting‑Room System Boosted Usage by 26% – A Product Design Case Study
dbaplus Community
dbaplus Community
Aug 31, 2021 · Big Data

How Meituan Waimai Built and Evolved Its Massive Data Warehouse from V1 to V3

This article details Meituan Waimai's data warehouse evolution—covering business context, four‑layer architecture, Spark‑based ETL, successive V1.0, V2.0, and V3.0 redesigns, data governance practices, resource‑optimization tactics, security measures, and future road‑maps—illustrated with diagrams and concrete technical choices.

Data GovernanceETLResource Optimization
0 likes · 24 min read
How Meituan Waimai Built and Evolved Its Massive Data Warehouse from V1 to V3
Open Source Linux
Open Source Linux
Jun 3, 2021 · Operations

Master Kubernetes Capacity Planning: Detect & Optimize Unused Resources

This guide explains Kubernetes capacity planning, showing how to detect idle CPU and memory, identify wasteful namespaces, use open‑source tools like kube‑state‑metrics and cAdvisor, and apply PromQL queries to optimize resource requests and measure the impact of your improvements.

KubernetesPromQLResource Optimization
0 likes · 10 min read
Master Kubernetes Capacity Planning: Detect & Optimize Unused Resources
Qu Tech
Qu Tech
Mar 1, 2021 · Cloud Native

Boost Kubernetes Efficiency: 5 Practical Pod Scheduling Techniques

This article explains how to improve Kubernetes resource utilization by addressing node fragmentation, pod misconfiguration, and HPA settings, and then details five concrete scheduling methods—including nodeName, nodeSelector, nodeAffinity, taints, and pod priority—to optimize pod placement and reduce waste.

KubernetesNode AffinityPod Scheduling
0 likes · 12 min read
Boost Kubernetes Efficiency: 5 Practical Pod Scheduling Techniques
DataFunTalk
DataFunTalk
Feb 22, 2021 · Big Data

Optimizing Flink Real-Time Task Resources: Memory and Message Processing Perspectives

This article explores practical methods for optimizing Flink real‑time task resources on Kubernetes, focusing on memory usage analysis via GC logs and message‑processing capacity assessment, proposing automated detection of over‑provisioned memory and CPU, and outlining a workflow for resource adjustment to reduce costs.

Big DataFlinkGC Analysis
0 likes · 18 min read
Optimizing Flink Real-Time Task Resources: Memory and Message Processing Perspectives
Youzan Coder
Youzan Coder
Jan 13, 2021 · Big Data

Flink Real-time Task Resource Optimization Practice at Youzan

At Youzan, Flink real‑time tasks running on Kubernetes are optimized by daily GC‑log memory analysis and Kafka‑throughput monitoring, which compute recommended heap sizes and parallelism adjustments to eliminate over‑provisioned CPU and memory, automate alerts, and pave the way for fully automated resource tuning.

FlinkGC TuningKubernetes
0 likes · 16 min read
Flink Real-time Task Resource Optimization Practice at Youzan
Meituan Technology Team
Meituan Technology Team
Nov 26, 2020 · Artificial Intelligence

Meituan Autonomous Vehicle Engine: Architecture, Challenges, and Resource Optimization

Meituan’s autonomous vehicle engine abstracts communication, scheduling, data handling, and tooling into three layers to ensure deterministic behavior across on‑vehicle and simulation environments, tackling consistency, scheduling, and resource‑utilization challenges by using unified computation models, distributed graph deployment, caching, and remote model serving, thereby accelerating autonomous delivery vehicle development.

AIDistributed ComputingResource Optimization
0 likes · 14 min read
Meituan Autonomous Vehicle Engine: Architecture, Challenges, and Resource Optimization
58 Tech
58 Tech
Aug 26, 2020 · Cloud Native

Dynamic Resource-Balancing Scheduling Strategies for Kubernetes in the 58 Cloud Platform

The article analyzes the limitations of native Kubernetes scheduling, proposes usage‑based and dynamic‑weight scheduling strategies to improve multi‑resource balance, presents experimental results showing significant CPU and memory utilization gains, and discusses cost benefits and future directions for the private cloud platform.

Cloud NativeDynamic WeightKubernetes
0 likes · 12 min read
Dynamic Resource-Balancing Scheduling Strategies for Kubernetes in the 58 Cloud Platform
Amap Tech
Amap Tech
Jul 23, 2020 · Mobile Development

Cross‑Platform Audio Player Framework for Smart Scenic Spot Guides

The Gaode Smart Scenic Spot Pocket‑Player framework provides a cross‑platform, hybrid audio solution that delivers location‑based MP3 guides, isolates business logic via an observer‑based service, manages audio focus and interruptions efficiently, supports cross‑page and offline playback, and enables rapid, low‑resource development for immersive tourist experiences.

Design PatternsResource Optimizationarchitecture
0 likes · 11 min read
Cross‑Platform Audio Player Framework for Smart Scenic Spot Guides
JD Retail Technology
JD Retail Technology
Jul 7, 2020 · Operations

JD.com 618 Shopping Festival Technical Preparation: Resource Optimization, High Availability, and System Reliability

The 2020 JD.com 618 shopping festival showcased a record-breaking sales volume and demonstrated how meticulous resource fine‑tuning, container scaling, high‑fidelity load testing, and cross‑team coordination enabled stable, cost‑effective system performance without adding new compute servers.

618Cloud ComputingHigh Availability
0 likes · 7 min read
JD.com 618 Shopping Festival Technical Preparation: Resource Optimization, High Availability, and System Reliability
Xueersi Online School Tech Team
Xueersi Online School Tech Team
May 15, 2020 · Mobile Development

Optimizing iOS App Resources: Classification, Removal, Isolation, and Automated Image Compression

This article explains how to analyze and reduce the size of iOS .ipa packages by classifying resources, using LSUnusedResources to identify unused files, isolating business‑line assets via podspec subspecs, and automating image compression with tools like ImageOptim, TinyPNG and pre‑commit Git hooks.

Resource Optimizationgit-hooksiOS
0 likes · 9 min read
Optimizing iOS App Resources: Classification, Removal, Isolation, and Automated Image Compression
Ctrip Technology
Ctrip Technology
Apr 9, 2020 · Cloud Native

Unified Scheduling Access, Algorithm Enhancements, and Performance Optimizations in Ctrip's Cloud Container K8s Platform

This article details Ctrip Cloud Container's practical experience in building a unified, policy‑driven scheduling framework for Kubernetes, covering algorithm parameterization, affinity configuration, extended resource‑balancing, load‑aware scoring, and performance tuning that together raise scheduling throughput by over five times in large‑scale clusters.

KubernetesResource Optimizationperformance
0 likes · 14 min read
Unified Scheduling Access, Algorithm Enhancements, and Performance Optimizations in Ctrip's Cloud Container K8s Platform
JD Retail Technology
JD Retail Technology
Dec 18, 2019 · Mobile Development

APK Resource Analysis and Optimization Using Python

This article explains how to use Python to analyze Android APK packages, extract basic statistics, identify optimizable resources such as oversized images, duplicate files, and unused assets, and provide data‑driven guidance for reducing APK size and improving distribution efficiency.

APKDEXPython
0 likes · 22 min read
APK Resource Analysis and Optimization Using Python
Programmer DD
Programmer DD
Nov 27, 2019 · Game Development

Why Did Classic NES Games Fit in 128KB? Uncovering Retro Resource Secrets

This article explains how classic NES titles like Super Mario manage to fit all code, graphics, music and level data within a mere 128 KB by exploiting 2‑bit palettes, minimalist MIDI audio, tile reuse and hand‑crafted assembly, revealing a storage gap of five to seven orders of magnitude compared to modern games.

AssemblyGraphicsNES
0 likes · 4 min read
Why Did Classic NES Games Fit in 128KB? Uncovering Retro Resource Secrets
Tencent Cloud Developer
Tencent Cloud Developer
Nov 25, 2019 · Cloud Native

Optimizing Kubernetes Cluster Resource Utilization: Pod Compression, Node Overcommit, HPAPlus, and VPAPlus

The talk presented a comprehensive strategy for boosting Kubernetes cluster efficiency by addressing fragmentation, over‑provisioned pod requests, and misaligned autoscaling through five techniques—pod compression, node over‑commit, HPAPlus, VPAPlus, and dynamic scheduling—implemented via mutating admission controllers, Prometheus analytics, and extended autoscaler components.

Cloud NativeDevOpsHPAPlus
0 likes · 14 min read
Optimizing Kubernetes Cluster Resource Utilization: Pod Compression, Node Overcommit, HPAPlus, and VPAPlus
Big Data Technology & Architecture
Big Data Technology & Architecture
Nov 9, 2019 · Big Data

Comparative Study of Apache Flink and Spark Streaming at Xiaomi: Architecture, Performance, and Serialization

This article examines Xiaomi's migration from Spark Streaming to Apache Flink, comparing scheduling strategies, mini‑batch versus true streaming, resource utilization, latency, and serialization mechanisms, and concludes with practical insights and custom optimization techniques for large‑scale data processing.

Big DataFlinkMini-Batch
0 likes · 17 min read
Comparative Study of Apache Flink and Spark Streaming at Xiaomi: Architecture, Performance, and Serialization