Cloud-Native Transformation & Outlook

Why does serverless lower TCO for spiky workloads but NOT necessarily for steady high-utilization ones?

You're building a serverless SAP extension incrementally, starting with non-differentiating capabilities to experiment. Why design security, observability, integration, and analytics in from day one instead of deferring them?

A team assumes serverless is strictly superior because of autoscaling and pay-per-use. What disadvantages decide against it for some SAP extensions?

For high-volume SAP event ingestion on AWS, when do you reach for Kinesis or MSK versus Amazon MQ?

Name the AWS services that make up a typical serverless application stack (front-end, API, compute, containers, data).

In an SAP-on-AWS event-driven pattern, what is SAP Event Mesh's role, and why isn't S/4HANA wired straight to AWS?

What are the three phases of the SAP Application Extension Methodology (SAP AEM)?

What does SAP's 'clean core' philosophy actually forbid, and what becomes impossible if you ignore it — especially on S/4HANA Cloud Public Edition?

Both DynamoDB and DocumentDB are AWS document databases. Which property decides between them for an SAP extension?

What three requirements force you off AWS Lambda onto Fargate for an SAP extension, and what do you give up by switching?

There are three ways to add AI/ML to SAP value chains on AWS. What trade-off moves you from 'build your own' toward 'use a prebuilt solution'?

Among the SAP-on-AWS data-consumption options, which one specifically does ODP-based full+delta extraction from S/4HANA/BW with write-back, and what do you use for non-SAP sources?

Why don't standard AWS resilience mechanisms (EC2 auto-recovery, Pacemaker, Multi-AZ, autoscaling) guarantee SAP availability, and what failure does each miss?

When building a data lake/mesh with AWS Lake Formation, what decides between its two permission models — named resources vs LF-TBAC?

ElastiCache and MemoryDB are both Redis-compatible. Which property decides between them, and when is ElastiCache the wrong choice?

For generative AI in SAP processes on AWS, which option do you pick when you want to integrate an LLM via API without training or managing infrastructure?

In the Unified Data Governance Framework (UDGF), how do its three dimensions differ — and what distinguishes a data product from a data object?

Container, Docker, and Kubernetes are often blurred together. What does each actually do, and what's the common role mix-up?

What distinguishes AIOps from ordinary CloudWatch alerting in an SAP-on-AWS context, and what SAP-specific data must feed it?

EKS blueprints and AWS Controllers for Kubernetes (ACK) sound similar — which one lets you provision AWS services like DynamoDB or S3 from inside Kubernetes?

What no-code development options exist in the SAP and AWS ecosystems?

Match the AWS-native prebuilt AI/ML service to its SAP use case: invoice/form OCR, customer-review sentiment, recommendations, fraud, enterprise search.

What are the native application-integration paths between SAP and AWS?

RDS and Aurora are both managed relational. Which property decides between them when migrating an SAP-extension database to AWS?

What extensibility tools does SAP S/4HANA in-app extensibility (transaction SCFD_REGISTRY) offer?

Amazon DataZone and Lake Formation both touch governance. What is DataZone's distinct job, and how does it relate to Lake Formation rather than replace it?

In an event-driven SAP architecture, when do you choose SNS over SQS — and which one buffers work for a slow consumer?

Match the purpose-built AWS database to the workload: append-only time-series, cryptographically verifiable ledger, and wide-column at scale.

What is an 'event' in event-driven architecture, and why does building around events keep SAP services loosely coupled?

What problem does a model-driven architecture (MDA) solve, and what is the one thing models must stay separate from for it to work?

Choreography vs orchestration for event-driven services: which gives you end-to-end traceability, and what do you trade for it?

What data shape makes Amazon Neptune the right choice over a key-value store like DynamoDB, and which use cases signal it?

What does Amazon EventBridge add between SAP Event Mesh and downstream AWS consumers that point-to-point delivery doesn't?

Why is data integration — not ingestion — treated as the core concern across a modern SAP data pipeline?

SAP BTP Kyma runtime is built on Kubernetes — so why can't you assume any SAP solution runs containerized on it natively?

AWS frames innovation as three building blocks of the cloud business case, not something you tackle only after migration. What are the three, and what does each guard against?

SAP's clean core strategy names six specific elements to keep standard. Which six, and what's the payoff?

SNS fan-out sends everyone on a topic the same message. How do you scale to millions of per-user customized notifications instead?

Leadership treats 'we migrated SAP to AWS' as the finish line. Why is it really the starting line, and what is the one discipline you must get right before building anything cloud-native?

You've landed SAP data in both Amazon S3 and SAP Datasphere and want to query across the AWS data lake without physically copying everything into the warehouse. What capabilities make that possible?

Give concrete AI/ML patterns that either automate a step inside an SAP process or extend it with new intelligence — and note what separates 'process automation' from a 'business-process extension.'

You want to avoid managing database capacity for a bursty SAP extension. Which AWS databases are fully serverless or have a serverless variant?

When the book says 'go cloud native,' which technologies does it point to (per CNCF), and why treat it as more than a buzzword?

How does SAP BTP support the clean core approach, and what are the two ways to reach BTP from an AWS landscape?

Every event-driven pattern in the book decomposes into the same three roles. What are they, and what specific job does the middle one do?

You're running SAP side-by-side extensions as containers and pick Amazon EKS for orchestration. What compute choices does EKS actually give you, and what does it manage for you?

What are the three steps of the SAP Integration Solution Advisory Methodology (ISA-M)?

Which AWS tools extract data from S/4HANA / BW/4HANA at the web-services, application, and database layers?

Low-code/no-code and 'data democratization' both let business users act without IT, but they broaden different things. Which broadens what?

You're modernizing to S/4HANA but the cloud-native architecture still feels constrained. Per the integration building blocks, what's the likely culprit and the fix?

A non-SAP add-on in your landscape now ships as a SaaS offering on AWS. Why might subscribing to it beat porting your existing install, and what can block that?

The book frames two very different transformation directions off an SAP base. What are they, and which 'intelligent technologies' does one of them lean on?

Before you can route SAP business events to AWS, where do you find which events exist, and what do older NetWeaver-based systems need first?

Among the AWS eventing services, why does choosing Amazon MQ or MSK commit you to something that EventBridge, SNS, SQS, and Kinesis don't?

SAP Event Mesh is the native broker for SAP events. Beyond forwarding to EventBridge, what else can it fan events out to, and through what?

For orchestrating a multi-step event flow, why does the book steer you to AWS Step Functions over Amazon SWF?

A pure push chain across serverless components gives near real-time action but hurts reliability. What breaks it, and what pattern restores resiliency?

Two non-obvious rules keep a loosely coupled AWS event flow correct under retries and timing. What are they?

Can you re-platform the SAP monolith itself onto AWS serverless? What is serverless's actual role in transformation?

Rigid provisioning traps unpredictable workloads in one of two zones, and traditional cost-per-user curves the wrong way. Explain both against serverless.

In the book's serverless SAP-extension reference app, how are users authenticated, and how does a brand-new signup become a real SAP record?

SAP already ships end-to-end data platforms like SAP Data Intelligence and SAP Datasphere. So when does adding AWS data-integration services actually earn its keep?

You need to pull data into an SAP-on-AWS lake from non-SAP relational databases, MongoDB, file shares, and SaaS apps like Salesforce. Which AWS services handle each, and where is AWS DMS the only option?

For an SAP-on-AWS pipeline you must ingest clickstream/log/video streams and factory IoT telemetry. Which AWS service handles each, and at what layer and protocol?

Two teams pick different AWS extraction services for the same SAP pipeline and one keeps missing its latency target. What single question about the workload should have driven the choice?

Your operational SAP and non-SAP systems each capture business events fine, yet leadership can't get cross-system insight. Why doesn't more of the same operational tooling fix this, and what pattern does?

Building an SAP side-by-side microservice, a team wants one commercial database license per data model to 'keep it familiar.' Why is that the wrong instinct on AWS, and what does AWS offer instead?

When designing an SAP extension's data store, what property of the data itself tells you to reach for a relational model versus a document (non-relational) one?

Beyond just being 'managed MySQL/PostgreSQL,' what cloud-native storage and recovery features make Amazon Aurora different from a stock relational engine?