29 docs tagged with "User Case"

Kwai is a short video app boasting more than 10 million daily active users. How does it efficiently process highly concurrent user requests? Kwai once deployed multiple MySQL clusters in the backend to support high traffic with large data storage and satisfactory performance. What are the weak points of this conventional sharding solution? What pushed Kwai to select distributed databases and eventually deploy OceanBase Database? In this post, Xiaochong, the head of Kwai's O&M team, shared the team’s reflection and experience in implementing the OceanBase Database solution.

Beike, operated by KE Holdings Inc., is an industry-leading digital housing service platform in China. It is committed to promoting the digitalization and intelligentization of China's housing service industry, aiming at pooling and empowering resources to provide Chinese families with all-in-one, premium, and efficient services, from new home and resale transactions to leasing, decoration, local life, and handyman services.

Author: Zhang Yujie, Database Engineer with BOSS Zhipin

In most production environments, OceanBase clusters are typically deployed on SSD storage. The high compression ratio of OceanBase Database significantly reduces disk storage requirements. However, in scenarios involving massive historical archives, companies still face challenges such as insufficient storage and waste of computing resources. This article explores the feasibility of a hybrid storage configuration, where transaction logs (or clogs) are stored on SSDs and business data is stored on HDDs. Through an exhaustive verification process, we evaluate the performance degradation and stability of the hybrid configuration compared to an all-flash configuration across different specifications and scenarios. By incorporating real-world use cases in production environments, this article serves as a reference for deploying OceanBase Database in scenarios involving massive data. While ensuring business stability and performance, the hybrid configuration can significantly reduce hardware resource usage, address shortages in flash resources, and make better use of existing resources.

This article is originally published by Vanguard D-Tech on WeChat Official Accounts Platform.

1720163744

Feng Guangpu, head of the Dmall database team, is responsible for the stability of OceanBase, TiDB, MySQL, Redis, and other databases of Dmall and the construction of its database platform as a service (PaaS) model. Feng has a wealth of experience in multi-active database architecture and data synchronization schemes.

Some say South China is the country's land of cross-border e-commerce, with Shenzhen city being the capital. In 2021, China's cross-border e-commerce market reached a new high of CNY 14.2 trillion, maintaining a growth rate of 13.6% year-on-year. Over the past five years, the country's cross-border e-commerce has grown nearly tenfold. As the industry flourishes, a dark horse based in Shenzhen has cut a dashing figure.

Sunvega Information Technology Co., Ltd. ("Sunvega" or "we" for short), a company that has been steadily growing for 11 years, specializes in the development and application of cloud modeling, cloud rendering, and AI-powered 3D vectorization. Sunvega is dedicated to providing the manufacturing industry with next-generation cloud-based, AI-powered, and integrated design/display/processing solutions, helping enterprises on their road to successful digital transformation and system upgrades. Over the past decade, we have earned widespread recognition for our technical excellence and service quality, establishing us as a leader in our niche market.

Background

About the author: Bao Guiming, Senior Big Data Engineer at KUAYUE EXPRESS (KYE), works on the research and introduction of real-time data R&D platforms and data lakes. Focusing on advancing the best practices and solutions of real-time/offline data warehouse architectures, Bao is committed to providing his company with accessible and efficient big data infrastructure systems, such as real-time computing systems and data lakes.

"Making Technology Visible | The OceanBase Preacher Program" is a yearly technical writing contest hosted by OceanBase, and co-sponsored by Modb.pro, ITPUB, and CSDN, three major tech media platforms. Four rounds are organized to assess articles quarterly. Each year, we award the best writer, or preacher. This article, by Zhang Xiao, is among the most promising pieces of round 1.

Introduction: AXA SPDB Investment Managers Co., Ltd. (AXA SPDB), a Sino-French joint venture fund company established in 2007, requires easy-to-use and efficient business data management tools that deliver high storage performance, ensure quick response, and support real-time data processing. As the original Oracle + Cloudera Distributed Hadoop (CDH) solution could not meet its expectations, AXA SPDB sought to optimize its database architecture and evaluated OceanBase Database, TiDB, Hive, and Oracle. After comprehensive comparisons and tests, the company decided on OceanBase Database. In this article, the technical development department of AXA SPDB shared their experience in database selection.

About the author: Liu Qiang, a member of Zuoyebang's infrastructure database administrator (DBA) team, works on the exploration and implementation of distributed databases. He collaborates with the R&D team in promoting the deployment of distributed databases in Zuoyebang's business system.

Introduction: This article is based on the speech made by Zhang Jie, Big Data Architect of KUAYUE EXPRESS (hereinafter referred to as KYE), at the DTCC conference. The speech introduced the pain points faced by KYE in data analysis and the company's ideas and practices in the development of its query engine solution.

About the author: Ji Haodong, head of the database division at Momo, part of the Hello Group. He is now responsible for the database teams of Momo and Tantan and the database storage and operation throughout the Hello Group. He has a wealth of professional experience and practical know-how in the fields of large-scale data source stability construction, team building, cost optimization, and IDC migration.

As a platform serving tens of millions of monthly active users (MAU), E-surfing Pay not only provides a variety of everyday life services, but also needs to store and process relevant data. Due to issues with its original database solution, such as insufficient storage space, high analysis latency, difficulties in cost control, and increased O&M complexity, the company must replace the original database architecture with a new one to ensure the long-term business stability.

Walking into any restaurant in China today, regardless of its size, you can order by scanning a QR code, using a self-service kiosk, or clicking on a dedicated mini-program. As digital intelligence transformation accelerates in the food and beverage industry, dedicated Software as a Service (SaaS) solutions have become a must-have for restaurants. 2DFire is one such solution.

On October 30, African payments company PalmPay officially launched its core system powered by the Chinese-developed OceanBase Database, making PalmPay the first commercial client of OceanBase Database in Africa.

Beike, operated by KE Holdings Inc., is an industry-leading digital housing service platform in China. It is committed to promoting the digitalization and intelligentization of China's housing service industry, aiming at pooling and empowering resources to provide Chinese families with all-in-one, premium, and efficient services, from new home and resale transactions to leasing, decoration, local life, and handyman services.

Introduction

Introduction: This article introduces Sichuan Hwadee's practice of migrating its data computing platform from Hadoop to OceanBase Database. This case demonstrates the advantages of OceanBase Database in terms of performance and storage costs. With OceanBase Database, hardware costs are reduced by 60% and the O&M work is significantly cut down, relieving maintenance personnel from responsibility for the many Hadoop components. OceanBase Database enables Hwadee to meet the needs of hybrid transaction/analytical processing (HTAP) scenarios with just one system, simplifying O&M for the company.

Yunji Sharing Technology Co., Ltd. (Yunji) is an e-commerce firm like Taobao and JD.com, except that its business is more driven by social networks. Yunji offers members killer deals by cherry-picking high-quality, value-for-money goods, helping millions of shoppers snag reliable goods at "wholesale prices". With recent market rollercoasters, we're on a mission to pinch every penny, especially when it comes to server and labor costs. Right now, our servers are eating up over 85% of our budget, so trimming costs is high on our to-do list.️

This article is a summary of Episode 12 of the DB Gurus Talks series.

1732192973

Che Dongxing: Currently employed at Sunshine Insurance, Che has been working in the IT field within the insurance industry for 12 years, and has acquired profound knowledge of IT infrastructure practices in this industry. Also, he is familiar with various database products, and has great experience in database O&M.

Editor's note: As a leading educational technology company in China, Tomorrow Advancing Life (TAL) Education Group operates a variety of business lines and manages massive amounts of data. Its underlying data system involves many database services, such as MySQL, Redis, MongoDB, PikiwiDB, Relational Database Service (RDS), PolarDB, container database (CDB), and Cloud Native Database TDSQL-C (TDSQL-C for short), which are deployed and hosted by using multiple cloud services, such as Alibaba Cloud, Tencent Cloud, and Baidu AI Cloud. To address challenges brought by the multi-cloud architecture, such as database sharding, resource isolation, and fragmentation, the company has introduced the OceanBase technology stack. OceanBase Database was tested in some business lines. The test results show that it can improve business availability and resource utilization, make O&M easier, and bring a cost reduction of 50% for self-managed services and 40% for cloud services. In this article, Wang Xinran, TAL's database expert, shares his insights into and reflections on their solution.

Introduction: As Yonyou Network Technology (Yonyou) grows, it uses XXL-JOB as the task scheduling platform and Nacos as the configuration management center to standardize and automate IT O&M. However, the underlying MySQL system seemed to be increasingly overburdened in coping with more and more clusters built for XXL-JOB and Nacos. To relieve its O&M workload, the company started looking for a database that can manage all its clusters with high availability in a unified way. In this article, Yonyou's database administrators shared their story of database selection.

This article is a summary of Episode 15 of the DB Gurus Talks series.