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Community Blog Boost the Tenant Experience with MaxCompute

Boost the Tenant Experience with MaxCompute

Nowadays, as new business requirements arise, multi-tenant isolation with MaxCompute will help you to boost the tenant experience.

Problems with Single-tenant IaaS Architecture

In the single-tenant big data product architecture, the bottom layer is HDFS2, on which resource control platforms such as Hadoop Yarn and MESOS reside. We can implement specific computing models, such as MR, Hive, HBASE, and Spark over the resource control platforms. In this ecosystem, the IaaS platform is generally available to the same tenant. When new business requirements arise, the tenant can apply for a batch of VM clusters on the IaaS platform, and then deploy open-source products on the clusters. This ecosystem encounters following problems from the perspective of isolation:

  1. The IaaS single-tenant big data product architecture has logic issues in actual use.
  2. Each open-source product has its priority definition for system operation. However, when we have to use multiple open-source products together, the IaaS single-tenant big data architecture cannot optimize the job execution priorities globally.
  3. open-source products often offer user-defined logic, for example, UDF of MR or Hive. Running user-defined code in big data products brings security risks.

To address these problems, MaxCompute offers PaaS multi-tenancy capability using a proprietary system architecture.

Multi-tenant PaaS Architecture of MaxCompute

In the PaaS multi-tenant architecture, MaxCompute runs over the Apsara operating system. It depends on the Apsara Fuxi module to provide unified resource control, the Apsara Pangu module to provide unified storage, and the Apsara Nvwa module to provide consistency service. MaxCompute uses the same computing engine to offer multiple computing models, including SQL, MR, graph computing, PAI, and near real-time.

MaxCompute uses the following methods to implement multi-tenancy:

  1. Logical isolation: each tenant has its logical model, possesses independent resources, and uses the same logical model to achieve unified authorization.
  2. Resource isolation: when running jobs of different tenants, MaxCompute offers the unified and globally optimal job scheduling capability and resource isolation capability.
  3. Operation isolation: MaxCompute supports user-defined logic (such as Python UDF) and offers a comprehensive operation isolation mechanism for user-defined logic running on MaxCompute.

For details about these three isolation mechanisms offered by MaxCompute, please go to From Single-tenant IaaS to Multi-tenant PaaS - Multi-tenant Isolation with MaxCompute.

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Related Documentation

Security configurations - MaxCompute

MaxCompute is a multi-tenant data processing platform. Distinct tenants have distinct data security requirements. Therefore, MaxCompute provides project-level security configurations to comply with the unique requirements of individual tenants. Project owners can customize their external account support and authentication models.

Security model - MaxCompute

This topic describes the security model of MaxCompute and that of DataWorks. The security model of MaxCompute can be used by MaxCompute project owners and security administrators for better overall O&M and regular security operations. To ensure better data security, we recommend that you read about the security model before you configure any security functions on Alibaba Cloud.

Related Products

MaxCompute

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenant data processing platform for large-scale data warehousing. MaxCompute supports various data importing solutions and distributed computing models, enabling users to effectively query massive datasets, reduce production costs, and ensure data security.

Application Configuration Management

Application Configuration Management (ACM) allows you to centralize the management of application configurations. This makes for more convenient management of configurations and enhances service capabilities for such scenarios as microservices, DevOps, and big data.

In addition to isolation policies provided by Spring Cloud, ACM supports multi-tenant, app, data_id, group and other multi-level isolation policies

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