The Alibaba Cloud community strives towards making the world more digitally connected and easing your information technology challenges.
Each week, we compile the hottest and most impactful content, including the trending technologies, step-by-step tutorials, knowledge from industry professionals and important figures, and best practices with Alibaba Cloud customers.
Below are this week’s four recommended articles specially curated from Alibaba Cloud community authors:
By Data Geek
Alibaba Cloud Elasticsearch is a search and analytics service based on open-source Elasticsearch. It offers enterprise-level security, access control, and automatic updates. It is also optimized for kernel performance and provides commercial features that are scalable and highly available out-of-the-box. This tutorial guides users on how to create an Alibaba Cloud Elasticsearch cluster and access the Kibana console.
By Weiji Zhao
Large AI models are capable of completing complex tasks that aid developers, researchers, and marketers. As more enterprises focus on AIGC application development, managing large AI models through gateways becomes a concern. The article discusses how AIGC applications like ChatGPT have improved enterprise production and efficiency.
By ApsaraDB
This article introduces new features of Alibaba Cloud database products in June 2023, including ApsaraDB RDS for SQL Server 2022 series release, ApsaraDB RDS for SQL Server allowing you to create accounts to access the host, ApsaraDB for MongoDB support for cloud disk encryption, availability of ApsaraDB for ClickHouse in the Malaysia (Kuala Lumpur) region, AnalyticDB for PostgreSQL releasing vector database feature, and DTS bidirectional synchronization supporting PolarDB-X 2.0 instances. Check the article to explore more.
By OpenAnolis
This article discusses the issue of query latency spikes in in-memory key-value stores due to the fork-based snapshot mechanism used for data backup. It proposes a solution called Async fork that performs the fork operation asynchronously at the operating system level to reduce out-of-service time, keeping the data persistence mechanism in IMKVSes unchanged.
1,004 posts | 246 followers
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1,004 posts | 246 followers
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