Kubernetes for Edge Computing across Inter-Continental Haier Production Sites Jiyuan Tang & Xin Zhang zhangxin@caicloud.io tangjiyuan@caicloud.io 关于我们 • 开源技术创新者 • 从 Kubernetes 到 Kubeflow • Google

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, Trino, and StarRocks, etc., to query massive prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point

and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds of modern computing frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed prospective users into end users and administrators. On the one hand, it hides the technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools performance level. • Load balancing – It becomes necessary for Kyuubi in a real-world production environment to ensure high availability because of multi-tenant access. – It effectively prevents single point