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In Part 2 of this 2-part demo, we’ll continue configuring an HA cluster environment using Red Hat Ansible Automation Platform. We’ll deploy HANA servers in HA configuration and deploy S4HANA application server.
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Application-Aware Clustering: The Key to Protecting SAP, HANA, and S4/HANA in the CloudConfiguring high availability (HA) clustering to protect SAP, HANA, and S/4HANA can be a daunting task that involves nearly every part of the IT stack – networking, compute, storage, application, and operating system.
Watch this on-demand webinar with Bobby Jagdev for an inside look at how application-aware clustering can simplify this complexity and ensure cluster failovers are reliable and adhere to SAP best practices. In this video you will learn:
• Four fundamental options for protecting SAP applications and HANA and S/4HANA databases in the cloud
• The importance of application-aware clustering in configuring and maintaining clusters
• Best practices for HA and disaster recovery of SAP and SAP S/4HANA
Best Practices for SAP High Availability in AWSThe global marketplace and its supply chains are complex and volatile. Companies rely on their SAP ERP systems to manage those dynamics and engage with their suppliers and customers. While on-premise control of your SAP landscape and data centers provides advantages, it may be time to consider transitioning to the AWS cloud.
The question is, how can an SAP landscape be configured in the AWS cloud to ensure the high availability (HA) you expect? While on-premises, IT knows what to do. But in the AWS cloud?
Best practices exist to ensure operational continuity of your SAP landscape in AWS. To begin with, you should build out your HA SAP landscape across multiple AWS AZs. This ensures that if the virtual machines (VMs) or the underlying servers in one AZ go dark, the infrastructure in another AZ can be called into service immediately. For full disaster recovery you should consider creating a shadow landscape in a geographically distinct AWS region. This provides a hedge against a catastrophic failure that could take down multiple AZs in a single region.
While distributing the components of your SAP landscape among different AWS AZs is critical for HA, so too is the deployment of a landscape monitoring and management solution. You need a solution that can monitor the health of each of these components, immediately identifying any component that is not performing properly and orchestrate the process of repairing the problem as quickly as possible.
At the same time, this suite of tools must also be AWS-aware. They must be able to translate the appropriate responses to issues detected within components of the landscape to actions appropriate to AWS.
Read this article and learn:
- The difference in how the presentation, application, and database layers of an SAP ERP system are deployed in the AWS cloud compared to on-premise;
- What are the best practices to ensure operational continuity of your SAP landscape in AWS;
- What to look for in monitoring and HA management tools to examine the SAP landscape across multiple dimensions.
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Maintaining High-Availability for SAP in a Windows World
In the intricate landscape of enterprise IT, the choice between Windows and Linux for SAP applications hinges on a delicate balance of cost and compatibility. While Windows offers familiarity and integration benefits, it also demands meticulous high availability (HA) management to ensure uninterrupted operations. Challenges in deploying SAP on Windows include the dual-sided nature of SAP databases, presenting a nuanced approach to system management. Mitigating single points of failure is crucial, necessitating robust HA solutions that prioritize redundancy and data replication. Modern tools like Windows Server Failover Clustering (WSFC) and third-party offerings such as SIOS DataKeeper augment HA capabilities, enhancing resilience against downtime and disasters. Adopting a strategic approach to HA ensures continuous availability, supporting seamless business operations and maintaining a competitive edge in today's dynamic market landscape. As technology evolves, IT professionals must remain adaptable, embracing the latest innovations in HA technology to safeguard enterprise systems effectively.
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SAP High Availability Best Practices in AWSSAP S/4HANA environments comprise multiple services that need to be maintained in suitable locations and start in the proper order. Running your SAP, NetWeaver, and SAP S/4HANA workloads in the cloud can offer many benefits. When you consider the scalability, with freedom from on-premises system maintenance, flexible disaster recovery options, and the low-cost infrastructure, all while simplifying IT operations, migrating to the cloud seems like a no-brainer. But failing to consider your high availability (HA) protection requirements for these complex systems can negate all of those benefits. Manually configuring and managing HA clusters in these complex environments can be time-consuming and prone to human errors that increase the risk of catastrophic downtime and data loss.
In this session, Brett Barwick, Senior Software Engineer of SIOS Technology Corp., and Tamara Astakhov, Sr. Partner Solution Architect for Big Data & Analytics at AWS, will discuss best practices for SAP high availability and how to achieve near-zero downtime. They will also share insights on requirements for disaster recovery for SAP and the benefits of the AWS cloud with SAP-Certified SIOS solutions to optimize your infrastructure with price, performance, and availability.
Attend this webinar to:
- Assess the business criticality of your SAP S4/HANA environments and determine the appropriate level of availability/ high availability/ DR needed in AWS.
- Understand how to implement a clustering solution with wizard-driven application-specific configuration and management to eliminate the complexity.
- Learn to create a clustering environment that will detect application operation-level downtime and orchestrate failover quickly and according to best practices.
- Identify the disaster recovery strategies to implement for SAP.
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