#sapworkloads

SAP, Google Cloud

Faster routes to business value, less risk on complex projects, and intelligent, enterprise-ready innovation that serves actual workloads rather than speculative use cases are what clients seek. SAP and Google Cloud are increasing their data analytics, AI, security, and other partnerships.

Google Cloud announced various changes at SAP Sapphire 2025 to bring its top infrastructure to SAP clients' most demanding workloads, enabling new AI agents and capabilities with Gemini and Agentspace, and streamline SAP data access with BigQuery.

Smart AI collaboration boosts business

SAP-Google Cloud partnership relies on AI. It is demonstrating how business clients may integrate cutting-edge AI technology with SAP data and processes for quantifiable results without starting from scratch.

Making AI-powered apps: The Vertex AI platform provides full access to top foundation models, an SDK for SAP's ABAP language, and Model Garden, a central area for searching, locating, and interacting with integrated Google and Google partner models. These features may help SAP clients enhance invoice settlement, allow generative AI chatbots for faster, more accurate customer service, and produce customised marketing material using SAP data.

Bringing Gemini to SAP Joule: SAP's native agentic intelligence layer, Joule, is being developed and upgraded to allow AI-powered agents to work across SAP systems. New Gemini models in SAP's Generative AI Hub on SAP BTP allow these agents to employ Google Cloud's most advanced language models for more intelligent, self-governing behaviour. The 10 SAP BTP regions on Google Cloud worldwide allow customers to create AI agent applications that meet corporate governance, data localisation, and operational control requirements.

Google Agentspace unifies access to enterprise agents and applications, including SAP agents, to facilitate job automation and safeguard company knowledge across numerous systems, apps, and data formats. Employees can leverage business intelligence in their existing tools, including partner CRM, IT, and data platforms. The employee's existing workplace has better access to AI agents, structured and unstructured data, and contextual suggestions with SAP data through Agentspace.

SAP participates in and supports Google Cloud's Agent2Agent (A2A) interoperability standard, which allows AI agents on multiple platforms to safely share context, communicate, and collaborate to achieve business goals. A SAP orchestrator can use A2A to activate a Vertex AI agent using BigQuery with full context to replace manual, brittle integrations with autonomous, standards-based cooperation.

AI-powered SAP operations with Gemini: As client adoption of RISE with SAP increases, SAP and Google Cloud are partnering on AI co-innovations to enable faster, smarter SAP operations at scale. It has worked with SAP to construct AI agents powered by the latest Gemini models to reduce outages, increase performance, and speed up troubleshooting.

AMD uses Google AI to improve SAP user experiences. The company developed several AI chatbots to allow finance, HR, and customer service staff to use SAP systems in natural language. A finance chatbot using Vertex AI and Cortex Framework speeds up cash-flow forecasting, while a customer operations chatbot obtains order scheduling and delivery information to help answer customer questions quickly.

Maximise enterprise data value

Enterprise data is only valuable when current, integrated, and actionable. Cortex Framework speeds up BigQuery, allowing users to achieve this. Cortex provides prebuilt models for SAP, Google Ads, and other corporate data sources to integrate real-time signals and link varied data. This increases operational agility, analytics, and AI preparation by generating a robust data model from your present reality for BigQuery's native ML to let you act on opportunities.

Suzano, the world's largest pulp manufacturer and a Google Cloud RISE with SAP client, uses Cortex to centralise its huge operational data, which was previously difficult for staff worldwide to access. The company then developed an AI tool that turns staff natural language questions into SQL queries, making SAP data insights easy for non-technical users. This reduced data consulting time by 90%, democratised data access, and accelerated, better-informed company decision-making.

SAP and Google Cloud are still cooperatively building data links between SAP source systems and BigQuery using SAP Business Data Cloud to make SAP data instantly available for AI, analytics, and visualisation without shifting workloads off of SAP. Clients can develop insight pipelines using trusted data and familiar technology.

Top SAP infrastructure

SAP systems require the right cloud infrastructure. Google Cloud now offers SAP-optimized virtual machines (M4 and C4D families) to boost productivity and performance. M4, which is widely available, offers the most efficient memory-optimized VM Compute Engine instances with up to 127% better performance and 36% lower TCO than previous generations. This means you can save money and complete key SAP jobs faster.

Google Cloud infrastructure, built from the ground up for security and dependability to reduce interruptions to your company's important activities, now supports the industry-leading single instance 99.95% uptime SLA. With upgraded large-scale X4 instances, you can securely run even the most demanding S/4HANA systems under RISE at enterprise level, ensuring that your IT infrastructure grows with your business ambitions.

Increasing security and compliance

Starting with secure-by-design global infrastructure and data encryption by default, Google Cloud's multi-layered security strategy reduces risk immediately and secures your critical SAP systems and company data. Google Unified Security provides centralised security administration, continuous monitoring, and precise access limits for SAP environment threat visibility. Google Cloud's Assured Workloads control platform supports ITAR for SAP Ariba and RISE with SAP, enabling compliance for essential SAP workloads, especially in the public sector. This combination of Google Cloud technologies ensures compliance and allows speedy detection, investigation, and neutralisation of complex threats to decrease the company's impact and improve operational resilience.

Proceed: Learn, try, build

SAP customers want faster time to value, simpler designs, and improved data and system use. This is what SAP and Google Cloud are building. It expects Google Cloud to add value in 2025 and beyond with cutting-edge enterprise AI and planet-scale cloud architecture.

Visit SAP Sapphire to see what's possible with the developments discussed here and elsewhere in recent weeks:

Google Cloud's enterprise AI approach helps SAP clients in real life. Look at interactive Google Agentspace-assisted SAP workflows utilising AI.

Discover agentic integration and A2A protocols.

Learn how the RISE with SAP and Google Cloud architecture is field-tested for scalability, security, and dependability.

Use the assessment service offered by Workload Manager to protect your SAP setups.

Following best practices is essential as companies move their SAP workloads to the cloud. In this blog article, they explore Google Cloud’s Workload Manager and demonstrate how its automated, rule-based analysis may proactively detect potential misconfigurations and deviations from best practices, thereby helping to protect your SAP workloads.

The function of best practices in preserving the integrity of the SAP workloads

Large-scale cloud deployment configuration and maintenance can be difficult, particularly when operating systems, applications, and infrastructure are all involved. Complicated setups, changing industry standards, and the possibility of human mistake associated with manual labour can all have a detrimental effect on your SAP workloads and ultimately your company.

In the past, misconfigurations were only found and fixed in reaction to a crisis, and frequently required laborious manual inspections. Workload Manager offers a SAP assessment service that can significantly enhance your Google Cloud SAP workloads management capabilities, enabling you to:

Minimise avoidable errors: Adhering to best practices would have prevented or lessened a great deal of problems and disruptions. Perform scans to proactively find possible problems before they become more serious ones.

Safeguard go-lives: To help boost go-live success rates and address problems that can be challenging to fix later, make sure new deployments are validated and configured in accordance with best practices.

Detect drift: Perform routine scans to find any changes or misconfigurations over time.

Minimise operational overhead: To help reduce time spent on laborious manual inspections, automate the validation process.

Workload Manager

An introduction of the Workload Manager evaluation service

The sophisticated rule-based validation service offered by Workload Manager’s evaluation service may automatically evaluate your SAP workloads in comparison to a comprehensive set of operating system, SAP, and Google Cloud best practices.

As new insights are gained and best practices change, the SAP rule catalogue is regularly updated. The supplied rules explore important facets of your SAP setup in the following categories, going beyond basic configuration checks:

SAP General: Guidelines that are applicable to all kinds of SAP workloads, like support requirements and VM setup settings

SAP High Availability: Analyzing cluster setups, failover procedures, and system architectures, these checks help maximize availability and reliability.

HANA & SAP NetWeaver: Logic that recognizes each resource’s role automatically and then verifies it against role-specific specifications including approved machine sizes, disc kinds, and other details

SAP HANA Insights: Perceptive analysis and optimizations for memory allocation, performance evaluations, compression, and other areas

SAP HANA Security Best Practices: Guidelines for assessing HANA’s security posture, covering known vulnerabilities, encryption settings, and access control, among other things Following a scan, an assessment report summarizes the findings and enables you to go more into each rule to see which specific resources passed and failed.

Every rule comprises an explanation of the problem, an assessment of its gravity, and a suggestion along with links to the pertinent files to aid in fixing the issue. Additionally, you have the option to get alerts by email or Pub/Sub on specific triggers, like the discovery of a new issue.

How to use the Workload Manager assessment service

Install the SAP Google  Cloud agent on each virtual machine within the scope.

The SAP agent for Google  Cloud is a unified agent that handles several tasks associated with executing SAP workloads on Google Cloud. Every virtual machine (VM) running SAP workloads on Google Cloud must have the agent installed and operational (SAP Note 2456406 – SAP on Google Cloud Platform: Support Prerequisites).

The agent also offers optional features, such as the Workload Manager that gathers data for analysis. To ensure that the agent is installed and configured appropriately, consult the following checklist: Install Google Cloud’s SAP Agent.

An automated check to ensure that the agent is installed and configured correctly in every in-scope virtual machine is also included in the assessment report. Run an assessment as instructed below and look for the rule labelled “Verify that Google  Cloud’s Agent for SAP is configured appropriately on all instances within the evaluation scope” in the results if you are not sure if you have already finished the aforementioned steps.

Prerequisites and first authorization

Make sure you have finished the following requirements before utilising the Sap Workload Manager assessment service:

Turn on the API for Workload Manager.

IAM Roles: To control access to the assessment service, specify the relevant IAM roles.

Please be aware that Workload Manager makes use of a Service Agent, and depending on the projects and configurations chosen during the following evaluation setup, this agent can require additional IAM rights. An administrator can find it useful to construct the initial assessment and provide any permissions that are missing when asked; this is a one-time requirement per project.

Make an assessment using Workload Manager

Locate Workload Manager > Evaluation in the console by using the search bar at the top or by navigating to the location, which is nested under Compute in the left navigation pane.

To get started, click the New Evaluation icon at the top.

Give the evaluation a name and a description on the Evaluation details tab, then choose “SAP” from the Workload type selection option.

You can choose the project or projects you want to assess and apply filters to further narrow the scope on the Evaluation Scope tab.

You can choose which rules to include in the evaluation on the Evaluation rules tab. You can choose all of the rules if you are unclear which to choose because only those that are pertinent to each resource in scope will be assessed.

Rules designated for SAP HANA, for instance, would not be compared to rules in the SAP NetWeaver category.

Likewise, guidelines for High Availability (HA) wouldn’t be assessed for a system that doesn’t support HA.

You can choose “Does not repeat” if you want to execute this particular evaluation on an as-needed basis, or you can choose how frequently to run it on the Scheduling page.

You can still perform extra assessments as needed, even if you choose a repeating frequency; this won’t affect the planned scans.

You can select to get notifications on the Notifications tab based on different triggers, including when a new issue is discovered, which is coupled with Notification Channels like Slack or email.

Lastly, you can review your choices on the Review tab and click “Create” to close the deal. It could take you a few more minutes to complete the first evaluation you prepare for a project.

When it’s done, you’ll receive a notification that will return you to the assessment dashboard.

Conduct an assessment and review the outcomes

Once a new evaluation has been created, it can be run by choosing it from the evaluation dashboard and clicking “Run,” or, if you have specified a repeating frequency, by waiting for the next scheduled run. After everything is finished, SAP workloads Manager produces an extensive report that shows both areas of compliance and departures from best practices. After that, you can delve more into particular rules to find out exactly what needs to be fixed and which resources passed and failed each check.

Validation of best practices: Going beyond the fundamentals

SAP workloads Manager, together with its recently launched assessment service, is a potent tool for detecting misconfigurations and departures from recommended practices in SAP instances hosted on Google Cloud. Consult the official documentation for troubleshooting advice and answers to frequently asked problems, or contact Google  Cloud customer service.

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