SAP HANA on Azure (Large Instances) Compute, Network, & Storage (part 3)

 



To read part 1 please click here
To read part 2 please click here


Express Route Global Reach

With the help of ExpressRoute Global Reach, customers are able to link the ExpressRoute circuits together to make a private network between on-premises networks. Global reach helps in the following two scenarios of HANA Large Instances:
  1. Enable direct access from on-premises to HANA Large Instance units deployed in different regions.
  2. Enable direct communication between your HANA Large Instance units deployed in different regions.   

Direct Access from on-premises

Wherever the global reach is provided within the Azure regions, the global reach functionality can be enabled for your ExpressRoute circuits that can connect your on-premises network to your Azure virtual network that in turn also connect to your HANA Large Instance units. There is no additional cost for you related to the circuit that connects the HANA Large Instance unit(s) to Azure, but, there are certain cost implications for the on-[remises side of your ExpressRoute circuit.

You can't use Azure NSGs to apply connectivity restrictions between your two HANA Large Instances tenants as the network traffic's data flow and control flow between different HANA Large instance tenants will not be routed through Azure virtual networks. 

Internet Connectivity of HANA Large Instance

HANA Large Instance don't have a direct internet connectivity which prevents you from registering the operating system instances directly with the OS vendor. As another option, you can also use SUSE Linux Enterprise Server Subscription Management Tool or Red Hat Enterprise Linux Subscription Manager.

Supported Scenarios

The HANA Large Instances are known for supporting a variety of architectural patterns to account for a wide range of business requirements. These supported scenarios includes:

  • Single node with one SID- This topology supports one node in a scale up configuration with one SID.

  • Single node MCOS- This topology supports one node in a scale up configuration with multiple SIDs. 

  • Single node with DR (Normal)- This topology supports one node in a scale up configuration with one or multiple SIDs along with the storage-based replication to the DR site for a primary SID. 

  • Single node with DR (Multipurpose)- This topology supports one node in a scale up configuration with one or multiple SIDs along with the storage-based replication to the DR site for a primary SID. At the DR site, HLI unit is used for QA instance while production operations are running from the primary site. At the time of DR failover (or failover test), QA instance at DR site is taken down. 

  • HSR with STONITH- This topology supports two nodes for the HANA System Replication (HSR) configuration which is only supported for single HANA instances on a node, i.e. MCOS scenarios are not supported. 

  • HSR with DR (Normal/Multipurpose)- This topology supports two nodes for the HANA System Replication (HSR) configuration. Both the DR and multipurpose configurations are only supported for single HANA instances on a node, i.e. MCOS scenarios are not supported. 

  • Host auto failover (1+1)- This topology supports two nodes in a host auto failover configuration and SAP supports this scenario only for S/4 HANA.

  • Scale-out with standby- This topology supports multiple nodes in a scale-out configuration. There is one node with master role, one or more nodes with worker role, and one or more nodes as standby.

  • Scale-out without standby-  This topology supports multiple nodes in a scale-out configuration. There is one node with master role, and one or more nodes with worker role.

  • Scale-out with DR- This topology supports multiple nodes in a scale-out with a DR. Both normal and multipurpose DR is supported. This topology can be requested with or without standby node.  



To read part 1 please click here
To read part 2 please click here






Comments

Popular posts from this blog

Query, Visualize, & Monitor Data in Azure Sentinel

Planning for Implementing SAP Solutions on Azure (Part 2 of 5)

Work with String Data Using KQL Statements