With the continuous maturity of cloud platforms, containers and other technologies, cloud-native big data solves the tedious construction and operation and maintenance of traditional big data platforms, making it possible to obtain an efficient big data development platform that is instantly available and distributed on demand. The arrival of cloud native not only brings changes to the deployment and delivery of big data, but also helps big data connect an ecosystem. Using the cloud-native ecology, it truly achieves the ability to endow big data with cloud, so that big data can "grow in the cloud". [Tencent Cloud Native] Collected 8 dry articles about big data cloud native series to help you better understand "big data cloud native", be sure to collect it!
Technical principle
Apache Flink on K8s: Four operating modes, which one should I choose?
- According to the trend of Flink's operating mode on Kubernetes cluster, this article analyzes the characteristics of these modes in turn, and finally introduces the Flink operator scheme and its advantages.
Should big data platforms be more containerized?
- As Kubernetes technology matures, making big data containerized has become a possibility. Through containerization technology, the efficiency of operation and maintenance management and resource use can be further improved in big data scenarios like online business scenarios, and the vitality of big data can be further released.
Best practices for cloud-native evolution of big data systems
- This paper analyzes the main problems currently faced by big data systems, how cloud native solves these problems, and the challenges faced by cloud native transformation of big data systems. Based on these problems and adjustments, it focuses on the progressive cloud based on Hadoop Yarn on Kubernetes Pod. Native evolution scenarios and their best practices.
Next-gen cloud native with Iceberg on Kubernetes
- This article mainly introduces how to use Iceberg and Kubernetes to create a new generation of cloud-native data lakes.
Practice of big data real-time analysis solution based on cloud native
- This article mainly introduces how to use Kubernetes to implement a cloud-native big data real-time analysis platform.
Case Studies
Winning double awards in a row, what is Tencent Cloud big data cloud native?
- In the [2020 China Technology Power Annual List Selection] organized by InfoQ, Tencent Cloud's big data cloud native technology stood out and won the "Top Ten Cloud Native Innovative Technologies in 2020".
WeChat Flink on Kubernetes combat summary
- Using Kubernetes, and gradually build our big data computing platform based on Tencent Cloud TKE container platform, Flink on Kubernetes is a practical road.
Blowing a pond of lake water, Tencent cloud native data lake computing is released
- Agile and efficient, right out of the box.
about Us
For more cases and knowledge about cloud native, you can pay attention to the public account of the same name [Tencent Cloud Native]~
Welfare:
① Reply to the [Manual] in the background of the official account, you can get the "Tencent Cloud Native Roadmap Manual" & "Tencent Cloud Native Best Practices"~
②The official account will reply to the [series] in the background, and you can get "15 series of 100+ super practical cloud native original dry goods collection", including Kubernetes cost reduction and efficiency enhancement, K8s performance optimization practices, best practices and other series.
③If you reply to the [White Paper] in the background of the official account, you can get the "Tencent Cloud Container Security White Paper" & "The Source of Cost Reduction - Cloud Native Cost Management White Paper v1.0"
③ Reply to [Introduction to the Speed of Light] in the background of the official account, you can get a 50,000-word essence tutorial of Tencent Cloud experts, Prometheus and Grafana of the speed of light.
[Tencent Cloud Native] New products of Yunshuo, new techniques of Yunyan, new activities of Yunyou, and information of cloud appreciation, scan the code to follow the public account of the same name, and get more dry goods in time! !
