Learn how to monitor, limit, and optimize Kubernetes expenses with nine practical techniques—including resource constraints, autoscaling, right-sized instances, Spot instances, sleep schedules, regular clean‑ups, and tagging—to dramatically reduce cloud costs while maintaining performance.
UCloud’s US3 archive storage leverages high‑density SMR drives combined with JBOD architecture and a custom IO‑scheduling algorithm to slash hardware CAPEX by up to 80%, reduce OPEX electricity costs, and maintain data reliability through embedded metadata and dual‑head redundancy.
This article explains how tiered storage in cloud‑native data warehouses like AnalyticDB MySQL reduces storage costs while maintaining performance by separating hot and cold data, automating migration, and optimizing cold‑data access through caching and archiving techniques.
The article examines how the rapid adoption of cloud computing, DevOps, AIOps, and FinOps is reshaping the role of IT operations, highlighting new trends, evolving work boundaries, and the essential characteristics of a modern, automated, secure, and cost‑optimized operations system.
The article analyzes the challenges of moving traditional on‑premise big‑data platforms to the cloud, outlines the cost‑saving opportunities of cloud‑native data lakes, presents three core architectural principles, and reviews Tencent Cloud's data lake product suite and its key use cases.
This article explains Youzan's data governance framework, covering the definition of data governance, the company's asset‑centric approach, quantitative quality scoring, cost‑based pricing formulas, billing and allocation mechanisms, continuous operational improvements, and the measurable outcomes achieved.
This article examines the rise of Serverless computing in China, comparing major providers, analyzing adoption trends, highlighting technical and operational challenges, and offering practical guidance for developers and enterprises seeking cost‑effective, scalable solutions.
This article examines the rapid rise of Serverless computing in 2021, analyzes market dynamics, highlights technical and operational challenges such as language support, cold starts, and package size, and offers practical guidance for developers and enterprises to adopt Serverless effectively while optimizing cost and performance.
This article explains how combining cloud computing with DevOps practices can dramatically speed up software delivery, improve operational maturity, and lower total cost of ownership by leveraging automation, elasticity, and best‑practice frameworks from major cloud providers.
The article reviews JD.com’s 11.11 shopping festival technical preparation, detailing how the operations team handled record traffic spikes, improved user experience, increased resource efficiency, and reduced IT costs through high‑fidelity testing, dual‑active systems, and a four‑year Taishan project.
During the 2020 "Golden Week" travel festival, Gaode Maps leveraged Alibaba Cloud Serverless to sustain nearly two million function invocations per minute, achieving over 99.99% success rate, sub‑60 ms latency, and demonstrating significant gains in efficiency, elasticity, cost savings, and observability for large‑scale map services.
Application Portfolio Management (APM) is a systematic approach to inventory, evaluate, and optimize an organization’s software applications—both on‑premises and cloud—to reduce costs, improve agility, mitigate security risks, and align IT assets with business goals.
This article describes how an online education platform reduced infrastructure costs and improved service reliability by replacing XEN with KVM, building resource‑tracking platforms, adopting Kubernetes‑based containerization, implementing rapid auto‑scaling, and establishing systematic resource auditing and standardization processes.
Alibaba Cloud’s Serverless lead, known as “不瞋”, discusses how serverless transforms cloud computing into a simple utility, outlines performance, security, and operational challenges, and shares real-world use cases like video processing and large-scale traffic handling, emphasizing cost savings, elasticity, and the future roadmap.
This article details GrowingIO's systematic approach to reducing AWS expenses by analyzing billing data, tagging resources, visualizing usage, and applying targeted optimizations across EC2 instances, EBS volumes, HDFS storage, network traffic, and S3, while outlining future automation and scaling plans.
Facing a ten‑fold cost increase for public‑cloud Redis, Ctrip engineers evaluated Redis‑on‑SSD alternatives, chose KVROCKS, performed extensive protocol‑compatible modifications, benchmarked performance on standard and Optane SSDs, and demonstrated substantial cost savings while preserving Redis semantics.
The interview with Sun Bin, head of Qunar's website operations, explains how the team acted as a specialized "BlackOps" unit to provide robust technical guarantees, automate problem‑solving, protect user data, optimize resources, and maintain continuous service during the COVID‑19 outbreak.
The data‑platform team introduced a self‑sustaining cost‑reduction framework that quantifies CPU, memory, and disk expenses using price‑per‑resource formulas, applies time‑weighted billing, generates multi‑level reports, and drives optimization through six actionable “swords” and incentive‑based operations, achieving roughly 17 % offline‑cluster savings within six months.
This article presents a comprehensive offline big‑data processing framework that leverages scalable object storage for PB‑level data, details storage and compute engine requirements, compares cost options, describes data pipeline design, and showcases an e‑commerce case study with Spark‑driven analytics.
This article presents practical strategies for reducing software testing expenses—including early testing, balanced documentation, risk‑based testing, leveraging production data, prioritizing API over UI automation, adopting open‑source tools, optimizing infrastructure, training, process improvements, and selective outsourcing—while maintaining overall product quality.
This article explains how to design and implement an elastic, high‑availability video‑on‑demand solution on Alibaba Cloud using Function Compute and Function Flow, covering simple and full‑featured architectures, performance and cost comparisons, and practical deployment steps.
Tencent leverages Elasticsearch at massive scale across log analytics, search services, and time‑series monitoring, addressing challenges of high availability, low cost, and high performance through kernel optimizations, resource‑aware throttling, cold‑data merging, rollup, caching, and open‑source contributions.
Tencent shares how it leverages Elasticsearch at trillion‑scale across logging, search, and time‑series workloads, detailing the challenges of high availability, low cost, and high performance, and describing concrete kernel‑level optimizations, resource‑limiting strategies, storage tiering, rollup, cache, and merge techniques that enable robust, efficient operation.
This article details how Tencent leverages Elasticsearch for log analysis, search services, and time‑series data, outlines the specific challenges faced in high‑availability and cost‑efficiency, and presents the comprehensive optimization techniques and future open‑source contributions that improve performance, scalability, and reliability.
This article explains how Tencent leverages Elasticsearch for real‑time log analysis, search services, and time‑series data at massive scale, detailing the application scenarios, industry use cases, key challenges, optimization techniques, and future open‑source contributions.
This article explains how Alibaba Cloud Function Compute can be used for AI model serving, walks through a three‑step deployment of a TensorFlow‑based Chinese poem generator, compares serverless with traditional ECS setups, and discusses cold‑start mitigation, cost optimization, and monitoring features.
Youku’s 2017 migration from an on‑premises Hadoop cluster to Alibaba Cloud MaxCompute delivered a unified, elastic data pipeline that cut compute and storage costs by roughly half, handled billions of daily log records, boosted performance and scalability, and empowered analysts with self‑service tools and a rich ecosystem.
This article explains the design of a distributed video transcoding platform that leverages AWS Lambda and EC2‑SLAVE to achieve high‑concurrency, low‑latency streaming, detailing architecture, load balancing, health checks, task monitoring, and cost‑saving strategies for scalable cloud‑based video processing.
This article explains how Youku processed billions of daily logs, migrated from Hadoop to Alibaba Cloud MaxCompute in 2017, and achieved lower compute and storage costs, faster data delivery, and greater operational flexibility through a robust big‑data platform tailored to its complex business needs.
This article explores how Alibaba's Cloud Service Engine (CSE) overcomes the limitations of AWS Lambda by enabling rapid, millisecond‑level startup for legacy online services, delivering elastic scaling, cost‑per‑request billing, and seamless migration to a serverless architecture.
This article details Meituan's R&D team's systematic PDCA‑based approach to resource cost optimization, covering methodology definition, planning, execution, checking, and iterative improvement across infrastructure, big‑data, and shared services, ultimately saving tens of millions of yuan.
This talk shares a senior director’s experience building a hybrid multi‑cloud infrastructure for a game company, covering stability, efficiency, cost challenges, design‑for‑failure principles, standardization, resource automation, and the cultural and organizational factors that affect successful cloud operations.
This article presents 360's AIOps project, detailing how AI-driven capacity forecasting, host classification, resource recycling, intelligent MySQL scheduling, anomaly detection, alarm convergence, and root‑cause analysis have saved millions, improved efficiency, and paved the way for a fully automated operations workflow.
Over a decade of Alibaba's infrastructure evolution—from early stability fixes, through full‑link stress testing and multi‑active deployments, to containerized hybrid‑cloud scheduling—enabled a dramatic reduction of per‑transaction costs to just 25% of the 2015 level for the massive Double 11 sales events.
This article chronicles Alibaba's ten‑year evolution of foundational infrastructure—from early stability struggles to mature full‑link testing, then rapid containerization, unified scheduling, and hybrid‑cloud deployment—that slashed the incremental cost of each ten‑thousand‑transaction spike to one‑quarter of its original level.
The explosive growth of big‑data applications is forcing storage vendors to redesign architectures for petabyte‑scale capacity, real‑time latency, high IOPS, security compliance, and cost efficiency, while also addressing flexibility, data longevity, and the needs of both large and small users.
This article details YY's journey in transforming its database operations—from early quality and efficiency challenges to a multi‑stage platform that automates resource pooling, high‑availability proxy, cost control, quality monitoring, and security, outlining future intelligent extensions.
Meitu cut short‑video CDN bandwidth by over 50 % while preserving quality, reduced error rates from 1 % to 0.1 %, and achieved millisecond‑level startup for most videos by deploying a data‑driven fusion scheduler, multi‑CDN failover, FastDNS, buffer control, moov‑relocation and player‑tuning techniques.
This article explores how cloud gaming platforms manage resources by addressing latency, bandwidth, and cost challenges, defining scheduling problems similar to dynamic bin packing, evaluating classic and new algorithms—including AI‑driven predictions—and proposing strategies to minimize total server runtime and deployment overhead.
Alibaba’s mixed‑deployment (Co‑location) technology combines online services and batch compute tasks on shared physical resources, using priority‑based scheduling, resource isolation, and dynamic memory management to dramatically improve CPU utilization, cut infrastructure costs, and maintain service level objectives during peak traffic events.
This article details a cost‑effective hybrid DDoS/CC protection architecture that blends overseas traffic‑scrubbing services with domestic CDN and smart DNS, explaining the attack background, analysis, chosen solutions, implementation steps, and operational results.
The article describes how Postlight rebuilt its Readability Parser API using a JavaScript‑based serverless architecture on AWS Lambda and API Gateway, achieving a cost reduction from about $10,000 per month to roughly $370 while maintaining functionality and scalability.
This guide outlines key factors and a curated stack of SaaS tools—from communication and collaboration to finance, product development, security, and compliance—to help early‑stage startups quickly select cost‑effective solutions that boost productivity and support growth.
This article explains the concept, structure, and practical strategies of payment routing—including guide routing and transaction routing—using a retail store analogy to illustrate how routing decisions optimize user experience, success rates, and profitability while managing costs and risk.
Tencent’s social network division, overseeing nearly 100,000 Linux servers that power billions of daily QQ interactions, curbs rising hardware expenses by applying six capacity‑management strategies—performance balancing, memory‑density assessment, feature‑driven scaling, virtualization‑based fragmentation reduction, bottleneck‑oriented capacity planning, and selective hardware upgrades such as larger disks or GPUs—to boost utilization and lower operational costs.
Facing massive user growth, Tencent’s social network team redesigned its KV storage architecture—introducing CKV and Grocery, automating capacity planning, data migration, and backup reuse—to dramatically lower costs, improve operational efficiency, and maintain high service quality across millions of devices.
This article shares practical strategies for designing a cost‑effective, highly available infrastructure for a fresh‑food e‑commerce business, covering business model impact, virtual‑physical hybrid data centers, cloud‑on‑premise balance, open‑source tools, load balancing, monitoring, security, and internal service systems.
This article traces the evolution of network engineering from simple early‑day admin tasks to today’s high‑pressure, large‑scale operations and outlines the skills and mindset needed for engineers to become true network architects.
This article curates five technical reads—covering network operations, Google’s production environment, massive cost‑saving strategies, IDC automation, and Docker‑based RDS—each presented as a “medicine” with a brief description and a link for deeper insight.
Tencent's SNG team shares six practical capacity‑management techniques—performance, density, feature, fragmentation, barrel, and hardware selection methods—that helped reduce operational expenses by over a hundred million yuan annually while supporting hundreds of millions of daily active users.
Tencent’s operations team explains how its SET‑based NoSQL clusters deliver ultra‑low latency, high availability, and seamless disaster recovery for billions of users, detailing deployment models, synchronization mechanisms, cost‑saving techniques, and the Data‑as‑Service approach that underpins its massive social platforms.
This article examines six common security pitfalls in system architecture—compatibility, cost‑cutting, data‑code mingling, closed design, blacklist defenses, and neglecting security as a design goal—offering concrete examples and practical recommendations to build more robust, resilient software systems.
This article explains how an e‑commerce platform leverages a hybrid cloud architecture to handle massive traffic spikes from marketing events while optimizing costs, and outlines six key considerations for successful implementation.
The article outlines four key dimensions of operations value—efficiency, quality, cost, and security—explaining how each contributes to business outcomes, the challenges of implementation, and why investing in operations is essentially buying insurance against costly failures.
