Tag

Cost Optimization

2 views collected around this technical thread.

Cloud Native Technology Community
Cloud Native Technology Community
Apr 24, 2025 · Cloud Native

Simplifying Kubernetes Application Deployment with Korifi and Optimizing Cloud Costs using OpenCost

Korifi provides a Cloud Foundry‑style abstraction layer that simplifies Kubernetes application deployment and management, while OpenCost offers comprehensive, multi‑cloud cost visibility and optimization; together they enable developers to deploy apps easily, monitor pod‑level expenses, and make data‑driven resource allocation decisions.

Cost OptimizationDevOpsKorifi
0 likes · 7 min read
Simplifying Kubernetes Application Deployment with Korifi and Optimizing Cloud Costs using OpenCost
iQIYI Technical Product Team
iQIYI Technical Product Team
Mar 27, 2025 · Big Data

Cost‑Effective Real‑Time Data Warehouse 2.0: Migrating from Kafka to Iceberg

iQIYI transformed its real‑time data warehouse by replacing a costly Kafka‑based Lambda stack with a unified stream‑batch Iceberg lake, cutting storage expenses by 90%, halving compute costs, extending data retention, and delivering minute‑level freshness for 90% of use cases while preserving second‑level processing where needed.

Cost OptimizationFlinkIceberg
0 likes · 11 min read
Cost‑Effective Real‑Time Data Warehouse 2.0: Migrating from Kafka to Iceberg
DataFunSummit
DataFunSummit
Feb 27, 2025 · Big Data

Case Study: Migrating Spark Thinking Education's Big Data Architecture from EMR to Serverless

This article details Spark Thinking Education's comprehensive migration from EMR to a serverless big‑data architecture, outlining the challenges of elasticity, cost accounting, and resource contention, the step‑by‑step implementation of serverless compute, storage, and integration services, and the resulting performance, cost, and stability gains.

Architecture MigrationBig DataCost Optimization
0 likes · 41 min read
Case Study: Migrating Spark Thinking Education's Big Data Architecture from EMR to Serverless
Bilibili Tech
Bilibili Tech
Jan 24, 2025 · Operations

Design and Implementation of a CDN Edge‑Node Scheduling System for Bilibili Live Streaming

The paper presents Bilibili’s multi‑layer CDN edge‑node scheduling system, which groups heterogeneous nodes by quality and price, uses cost‑aware and resource‑aware heuristics—including maximum‑flow regional borrowing and contextual‑bandit utilization prediction—to allocate bandwidth per business, achieving a 43 % bandwidth reuse increase, 33 % coverage boost, and markedly lower stall rates.

BilibiliCost OptimizationLive Streaming
0 likes · 10 min read
Design and Implementation of a CDN Edge‑Node Scheduling System for Bilibili Live Streaming
Model Perspective
Model Perspective
Jan 21, 2025 · Operations

How to Choose the Best Night‑Market Stall Product and Pricing with Math Modeling

This article walks through a step‑by‑step mathematical modeling process for a night‑market stall, covering product selection, supplier cost comparison, optimal pricing, stall location choice, and promotion strategies to maximize profit and efficiency.

Cost Optimizationbusiness modelingentrepreneurship
0 likes · 6 min read
How to Choose the Best Night‑Market Stall Product and Pricing with Math Modeling
DataFunSummit
DataFunSummit
Jan 16, 2025 · Big Data

Zhihu Big Data Cost‑Reduction Practices: FinOps, Erasure Coding, ZSTD Compression, Spark Auto‑Tuning, and Remote Shuffle Service

This article details Zhihu's comprehensive cost‑reduction and efficiency‑boosting initiatives for its big‑data platform, covering FinOps‑driven financial operations, hybrid‑cloud architecture, cost allocation models, operational monitoring, and technical optimizations such as erasure coding, ZSTD compression, Spark auto‑tuning, and a remote shuffle service.

Big DataCloud Cost ManagementCost Optimization
0 likes · 22 min read
Zhihu Big Data Cost‑Reduction Practices: FinOps, Erasure Coding, ZSTD Compression, Spark Auto‑Tuning, and Remote Shuffle Service
Efficient Ops
Efficient Ops
Jan 12, 2025 · Operations

Mastering FinOps: The Enterprise IT Resource Operations Maturity Model Explained

This article introduces the FinOps maturity model for enterprise IT resource operations, outlines its six capability domains and five maturity levels, and showcases real‑world assessment cases from leading firms, highlighting how precise cost control and lifecycle management can drive efficiency and high‑quality growth.

Cost OptimizationEnterprise ITFinOps
0 likes · 9 min read
Mastering FinOps: The Enterprise IT Resource Operations Maturity Model Explained
AntData
AntData
Dec 17, 2024 · Databases

Designing Database Services for Modern Online Business: Scalability, Agility, Security, and Cost Optimization

The article examines how database services must evolve to meet the high‑availability, real‑time response, horizontal scalability, application agility, security compliance, and cost‑optimization demands of modern online businesses, using Ant Group’s multi‑generation architecture and technologies such as distributed middleware, HTAP/HSAP, and polyglot persistence as examples.

Application AgilityCost OptimizationDatabase Services
0 likes · 22 min read
Designing Database Services for Modern Online Business: Scalability, Agility, Security, and Cost Optimization
Baidu Geek Talk
Baidu Geek Talk
Dec 16, 2024 · Artificial Intelligence

AIAPI: Baidu's AI-Native Retrieval System for Large Language Model Applications

AIAPI, Baidu’s AI‑native retrieval platform for large language models, tackles hallucination, slow domain updates, and output opacity by delivering authoritative, timely, full‑content data through a dual‑channel architecture that combines traditional search and RAG, employs reusable ranking, graph‑enhanced data layers, dynamic caching that cuts storage by 70 %, and QueryPlan‑based QoS, achieving markedly higher retrieval quality and a 34 % speed gain with Wenxin 4.0.

AI-Native SystemsAIAPICost Optimization
0 likes · 12 min read
AIAPI: Baidu's AI-Native Retrieval System for Large Language Model Applications
DataFunSummit
DataFunSummit
Nov 26, 2024 · Information Security

AI‑Driven Security Operations (AISECOPS): Architecture, Practices, and Evaluation

This article explains how large‑model AI can be integrated into security operations (AISECOPS) to simplify application integration, improve fault detection, and automate protection across complex north‑south and east‑west network layers, while addressing challenges such as data quality, cost control, model selection, and safety frameworks.

AISECOPSCost OptimizationLarge Models
0 likes · 22 min read
AI‑Driven Security Operations (AISECOPS): Architecture, Practices, and Evaluation
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Oct 23, 2024 · Backend Development

Pulsar vs RocketMQ: Architecture, Cost Benefits, and Migration Strategy for Xiaohongshu Online Messaging

Xiaohongshu replaced its RocketMQ‑based online messaging platform with Apache Pulsar, achieving up to 48% total cost reduction, 43% higher CPU utilization, 30% resource savings, and a latency drop from 20.2 ms to 5.7 ms through cloud‑native, elastic scaling and a phased migration strategy.

Apache PulsarCost OptimizationMessage Queue
0 likes · 12 min read
Pulsar vs RocketMQ: Architecture, Cost Benefits, and Migration Strategy for Xiaohongshu Online Messaging
Efficient Ops
Efficient Ops
Oct 18, 2024 · Operations

Guotai Junan’s Level‑3 FinOps Success: Inside Their Capacity Management Journey

This article explores how Guotai Junan Securities leveraged FinOps and a new IT resource maturity model to achieve Level‑3 capacity management, detailing their cultural shift, automation tools, transparency gains, challenges overcome, and future plans for finer‑grained cost control in a rapidly digitizing industry.

Cost OptimizationDigital TransformationFinOps
0 likes · 12 min read
Guotai Junan’s Level‑3 FinOps Success: Inside Their Capacity Management Journey
Soul Technical Team
Soul Technical Team
Sep 29, 2024 · Cloud Computing

Soul's Container Cluster Cost Governance: A Case Study on Resource Optimization

Soul's container cluster cost governance case study details their approach to optimizing resource utilization through Kubernetes-based solutions, addressing challenges like resource fragmentation and implementing strategies such as SNAS for elastic scaling and HPA+CronHPA coordination to achieve significant cost reductions.

Cost OptimizationKubernetescloud computing
0 likes · 16 min read
Soul's Container Cluster Cost Governance: A Case Study on Resource Optimization
DataFunTalk
DataFunTalk
Aug 27, 2024 · Big Data

Kuaishou's Year-Long White‑Box Cost Governance in Big Data: Engine, Data‑Warehouse, and Tool Optimizations

This article presents Kuaishou's comprehensive white‑box cost governance practice over the past year, detailing the data‑governance framework, engine and data‑warehouse white‑boxing techniques, compression algorithm replacement, HBO automatic tuning, operator analysis, and the resulting performance and cost benefits, as well as future plans.

Big DataCost OptimizationData Warehouse
0 likes · 29 min read
Kuaishou's Year-Long White‑Box Cost Governance in Big Data: Engine, Data‑Warehouse, and Tool Optimizations
JD Tech
JD Tech
Aug 22, 2024 · Backend Development

Designing a Disaster‑Recovery Data Backup System for JD’s LBS C‑End SOA Service

This article explores the design and implementation of a disaster‑recovery data‑backup architecture for JD’s LBS C‑end SOA service, covering backup strategies, cost‑reduction techniques, grid‑based indexing with H3, client‑side caching, diff verification, and deployment considerations to balance reliability, performance, and expense.

BackendCost OptimizationLBS
0 likes · 18 min read
Designing a Disaster‑Recovery Data Backup System for JD’s LBS C‑End SOA Service
JD Retail Technology
JD Retail Technology
Aug 21, 2024 · Operations

Designing a Disaster Recovery and Data Backup System for JD 秒送 LBS C‑End SOA Services

This article explores the design of a disaster‑recovery framework for JD’s秒送 LBS C‑end SOA services, detailing data‑backup strategies, cost‑reduction techniques, grid‑based caching using H3, diff validation, client‑side caching, and deployment modules to balance reliability, performance, and expense.

Backend ServicesCost OptimizationLBS
0 likes · 18 min read
Designing a Disaster Recovery and Data Backup System for JD 秒送 LBS C‑End SOA Services
JD Tech Talk
JD Tech Talk
Aug 16, 2024 · Operations

Designing Cost‑Effective Disaster Recovery Data Backup for LBS‑Based SOA Services

This article details a comprehensive disaster‑recovery strategy for LBS‑driven SOA services, covering challenges of massive POI data backup, cost‑reduction via grid indexing (H3), selective caching, compression, diff validation, client‑side fallback, and deployment processes to achieve reliable, low‑cost data availability.

Cost OptimizationLBSdata backup
0 likes · 19 min read
Designing Cost‑Effective Disaster Recovery Data Backup for LBS‑Based SOA Services
DataFunSummit
DataFunSummit
Jul 8, 2024 · Big Data

Metric Management and Intelligent Insight Practices at MuTong Technology

This article shares MuTong Technology's comprehensive experience in metric management, covering pain points, governance, naming standards, production‑consumption workflows, cost‑ROI optimization, and the implementation of intelligent insight modules to improve data quality, efficiency, and business decision‑making.

Big DataCost OptimizationData Warehouse
0 likes · 22 min read
Metric Management and Intelligent Insight Practices at MuTong Technology
DataFunSummit
DataFunSummit
Jun 17, 2024 · Artificial Intelligence

Strategies for Reducing Cost and Improving Efficiency in Recommendation Systems with Alibaba Cloud PAI‑Rec

This article discusses how Alibaba Cloud’s AI platform PAI‑Rec reduces recommendation system costs and boosts efficiency by optimizing training resources, leveraging FeatureStore, EasyRec and TorchEasyRec frameworks, detailing workflow stages, feature consistency, GPU acceleration, componentized model configuration, and practical deployment timelines.

AI PlatformCost OptimizationFeature Store
0 likes · 14 min read
Strategies for Reducing Cost and Improving Efficiency in Recommendation Systems with Alibaba Cloud PAI‑Rec
Efficient Ops
Efficient Ops
Jun 12, 2024 · Cloud Native

Why 2023 Became a Turning Point for Microservices: Insights from Google and Amazon

The article reviews how 2023 challenged the microservices paradigm, highlighting Google’s runtime‑driven architecture that slashes latency and cost, Amazon Prime Video’s shift back to a monolith for massive savings, and broader industry reflections on the hidden drawbacks and future of microservices.

AmazonCost OptimizationGoogle
0 likes · 10 min read
Why 2023 Became a Turning Point for Microservices: Insights from Google and Amazon