Kubernetes VM Solutions for Multi-Tenant Applications Guangxu Li, Senior Software Engineer, ZTE li.guangxu@zte.com.cn Container and VM Ecosystem Kubernetes Docker Swarm Marathon Nomad Container

Scaling a Multi-Tenant k8s Cluster in a Telco Pablo Moncada October 28, 2020 About MasMovil group ● 4th telecom company in Spain ● Provides voice and broadband services to +12M customers ● Several

PROPERTIES appartments : building_t -> range; tenant : appartment_t -> tenant_t; monthly_payment : tenant_t -> double Ivan Čukić KDAB CppCon 2021 INTRODUCTION DATA FUNCTIONS appartments : building_t -> range; tenant : appartment_t -> tenant_t; monthly_payment : tenant_t -> double auto payment = tenant >> monthly_payment; accumulate(appartments(building) : building_t -> range; tenants : appartment_t -> range<tenant_t>; monthly_payments : tenant_t -> range; property → range => property → range => property → range Ivan

Harbor Registry in Tenant Clusters, on page 1 • Using Harbor Chartmuseum in Tenant Clusters, on page 2 Using Harbor Registry in Tenant Clusters Follow these steps to create a new tenant cluster with access following ways: • Follow the steps in the Ingress CA section. • Run the following command on the tenant cluster where Harbor registry is installed. kubectl get secrets -n ccp ccp-ingress-default-cert endpoint at https://:443 of the cluster where it is installed. Step 2 Create a new tenant cluster. For more information, see Creating Clusters on vSphere. Step 3 In the Node Configuration

create a new tenant . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 5.3.8. load data for a specific tenant . . . . . . ext-demo: External Demo Data (custom) • tenant: Data to load into the master tenants database "ofbiztenant". This data is required to identify where a tenant’s database is located. For more information information you can review the relevant tenant documentation Available options for the --load-data server command are the following: • readers=[name]: only load data from certain readers separated by comma

create a new tenant . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 5.3.8. load data for a specific tenant . . . . . . ext-demo: External Demo Data (custom) • tenant: Data to load into the master tenants database "ofbiztenant". This data is required to identify where a tenant’s database is located. For more information information you can review the relevant tenant documentation Available options for the --load-data server command are the following: • readers=[name]: only load data from certain readers separated by comma

. . . . . . . . . . . . . . . . . 123 i ii Kyuubi, Release 1.3.0 Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In Kyuubi, Release 1.3.0 Why Kyuubi on Kudu Basically, Kyuubi can take place of HiveServer2 as a multi tenant ad-hoc SQL on Hadoop solution, with the advantages of speed and power coming from Spark SQL. You to achieve fined-grained SQL standard-based authorization. Conclusions Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. It extends

. . . . . . . . . . . . . . . . . 123 i ii Kyuubi, Release 1.3.0 Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In Kyuubi, Release 1.3.0 Why Kyuubi on Kudu Basically, Kyuubi can take place of HiveServer2 as a multi tenant ad-hoc SQL on Hadoop solution, with the advantages of speed and power coming from Spark SQL. You to achieve fined-grained SQL standard-based authorization. Conclusions Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. It extends

※※※※※ ※※※※※ ※※※※ Storage ※※※※※ ※※※※※ ※※※※※ Network Policy and Management ※※※※※ ※※※※※ ※※※ Multi-tenant Management ※※※※ ※※※ ※※※ Authentication and Authorization ※※※※ ※※※※※ ※※※※※ Security ※※※※ ※※※※※ Details Version compared 3.1.1 4.8 V2.5.9 Observability Monitoring Built-in metrics for multi-tenant and multi-dimensional monitoring; built-in custom monitoring dashboards Simple metrics displayed only; Grafana and Prometheus required for displaying complex metrics Logging Built-in multi-tenant and multi-dimensional log retrieval system that supports on-disk log collection and provides

Welcome to Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general official website. 1.2. Why Kyuubi on Kudu Basically, Kyuubi can take place of HiveServer2 as a multi tenant ad-hoc SQL on Hadoop solution, with the advantages of speed and power coming from Spark SQL. You to achieve fined-grained SQL standard-based authorization. Conclusions Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark