2023 年已如白驹过隙般过去。虽然在 2023 年的前端大舞台上并没有出现革命性的明星项目，但在各个细分的技术领域都有一定的拓展与深耕，而且 2023 年 AI 大模型的迅猛发展也为前端领域注入了活力，接下来让我们一起乘坐时光机重回 2023，盘点 2023 年在前端行业发生的哪些重要的事情。

37 Technology lddgo Shared on 2024-01-23

数字时代，云始终是企业实现数字化转型和增长的关键底座。随着新一轮公共云竞争的日渐火热，新的基于算力和基础设施的需求蓬勃生长。在这场上云热潮中，什么样的基础设施产品能够打出优势，竞得一方“云上天空”？ 2023年11月10日-24日，“乘云·向未来”火山引擎公共云·城市分享会先后走进北京、上海、深圳，会上火山引擎以“算力基础设施护航业务平稳上云实践”为题，分享了火山引擎算力基础设施在高性能计算和存储集群、云原生和计算协同调度、资源池化和在离线融合等方面的优势，为企业业务平稳上云保驾护航。

46 Technology lddgo Shared on 2024-01-23

近年来，“低代码”这一概念在资本市场上愈发火热，各种低代码平台项目也纷纷上马。 然而，此类平台的设计者与维护者们，或早或晚，终将会面对“低代码”与生俱来的一组底层矛盾，而是否能合理地处理这组矛盾，最终决定了此平台的发展前景。

37 Technology lddgo Shared on 2024-01-23

As the original creators of Apache Flink, we are often asked for best practices around monitoring Flink applications and people want to know which metrics they should monitor for their applications at scale. In this two-piece blog post series based on a previous monitoring webinar, we would like to share our experiences around monitoring, focus on metrics to look at, and explain how to interpret them.

69 Technology lddgo Shared on 2024-01-23

The previous article in this series focused on continuous application monitoring and presented the most useful metrics from our point of view. However, Flink’s metrics system offers a lot more, and we would like to highlight a couple of useful metrics that help you specifically while troubleshooting applications. All of the metrics presented in the previous article are useful entry points for troubleshooting and point you in the right direction. The metrics we would like to focus on here extend

59 Technology lddgo Shared on 2024-01-23

Flink SQL has come a long way to where it is today via tremendous efforts and collaborations across the entire Flink community over the years. Thus, it would be valuable to have a retrospective of the journey of Flink SQL. This post will try to summarize the important milestones of Flink SQL in the past years, show the critical issues and challenges that have arisen, understand where it is today, and demonstrate the path Flink SQL has been through and where it might head in the future, based on

60 Technology lddgo Shared on 2024-01-23

We have seen many use cases for Flink SQL, and we are excited to show you what you can build with it. In this series of blog posts, we will explore how to use Flink SQL to process data in a variety of ways. This post, in particular, will focus on two queries: Window Top-N and Continuous Top-N.

65 Technology lddgo Shared on 2024-01-23

Flink SQL has emerged as the de facto standard for low-code data analytics. It has managed to unify batch and stream processing while simultaneously staying true to the SQL standard. In addition, it provides a rich set of advanced features for real-time use cases. In a nutshell, Flink SQL provides the best of both worlds: it gives you the ability to process streaming data using SQL, but it also supports batch processing.

54 Technology lddgo Shared on 2024-01-23

Flink SQL is the most widely used relational API based on standard SQL. It provides unified batch processing and stream processing, which makes it easy to develop applications, and is already widely used for various use cases. Unlike the DataStream API, which offers the primitives of stream processing in a relatively low-level imperative programming API, the Flink SQL API offers a relatively high-level declarative API. This means that a program written with the DataStream API will transform

54 Technology lddgo Shared on 2024-01-23

Flink SQL has emerged as the de facto standard for low-code data analytics. It has managed to unify batch and stream processing while simultaneously staying true to the SQL standard. In addition, it provides a rich set of advanced features for real-time use cases. In a nutshell, Flink SQL provides the best of both worlds: it gives you the ability to process streaming data using SQL, but it also supports batch processing.

57 Technology lddgo Shared on 2024-01-23