NewABAP, RAP and ABAP Cloud
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Kind: Content
Domain: Operations & Runtime
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23 changes
Kind ContentDomain Operations & Runtime

Sun 18
1 change
SAP S/4HANA Cloud: Scheduling Background Jobs Using Application Job TemplatespublishedWalks through moving S/4HANA Cloud and ABAP Environment job scheduling off ECC's SUBMIT and JOB_OPEN/JOB_SUBMIT/JOB_CLOSE pattern onto the Application Job Framework: a job template built from an ABAP class that implements IF_APJ_DT_EXEC_OBJECT and IF_APJ_RT_EXEC_OBJECT, then scheduled through the Manage Application Job Templates Fiori app or programmatically with CL_APJ_RT_JOB_SCHEDULING_API's SCHEDULE_JOB method. The resulting job is tracked in the Monitor Application Jobs app, where status, logs and failed runs are reviewed.Blog,
Sat 17
3 changes
Capturing Background Job Errors in SAP Using the Application Log (SLG0/SLG1)explains revisedDoor scope proposed from the title and summary, so a door page lists the piece only where it holds (docs/concepts/content-on-doors.md).Blog,
S/4HANA Observability: Streaming SAP Cloud ALM & LogServ Telemetry to BigQuery & Vertex AIexplains revisedDoor scope proposed from the title and summary, so a door page lists the piece only where it holds (docs/concepts/content-on-doors.md).Blog,
Scheduling a Background Job for the BDC Session Method Using RSBDCSUBexplains revisedDoor scope proposed from the title and summary, so a door page lists the piece only where it holds (docs/concepts/content-on-doors.md).Blog,
Thu 15
1 change
How to Create an Application Job (APJ) in SAP S/4HANA ABAP — With Single Values & Select OptionspublishedWalks through implementing an Application Job end to end on the ABAP door: a class implements IF_APJ_RT_EXEC_OBJECT for runtime execution and IF_APJ_DT_EXEC_OBJECT to define parameters, covering both single-value parameters and select options, then registers the class as a job catalog entry and template in ADT for scheduling through the Application Jobs Fiori app. Frames Application Jobs as the class-based, ADT-defined successor to the classic SM36/SM37 background job transactions.Blog,
Wed 14
2 changes
Capturing Background Job Errors in SAP Using the Application Log (SLG0/SLG1)publishedWalks through ABAP's Application Log framework for recording errors from a background job that has no screen to show them on: defining an Object and Sub-object in SLG0, then building the log in code with BAL_LOG_CREATE, adding a free-text or message-class entry with BAL_LOG_MSG_ADD_FREE_TEXT or BAL_LOG_MSG_ADD, and persisting it with BAL_DB_SAVE so it survives after the job finishes. The worked example is a report inserting student records into a custom table, scheduled via SM36 and reviewed afterwards in SLG1, filtered by the Object and Sub-object that created it.Blog,
Scheduling a Background Job for the BDC Session Method Using RSBDCSUBpublishedWalks through uploading data with GUI_UPLOAD, building a BDC session with BDC_OPEN_GROUP, BDC_INSERT and BDC_CLOSE_GROUP, then scheduling the standard program RSBDCSUB as a background job with JOB_OPEN, SUBMIT ... VIA JOB and JOB_CLOSE so the session processes without manual SM35 intervention. Shows the resulting job's status and spool read back through SM37, the way a reader confirms afterwards that a scheduled job actually ran.Blog,
Sun 11
9 changes
AI-first, API-first: What changes when AI becomes the userpublishedWhat changes in an architecture when an AI agent is the caller: AI-first and API-first principles, SAP's API governance, extensibility and the composable enterprise, with lessons the speaker draws from SAP's and other enterprise AI initiatives. The extensibility edge rests on the abstract naming extensibility as a principle and nothing more specific; no API, product or tool is named, so the talk is attached to the broadest concern it touches. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Tomasz Wilk, written here from SAP's abstract; the recording is not yet published.Talk,
Build agentic SAP extensions with Google CloudpublishedGoogle Cloud's architectures for agentic AI apps on SAP with a clean core: SAP Business AI Platform, SAP S/4HANA and SAP Business Data Cloud joined with BigQuery, Gemini and Google's Agent Development Kit. The abstract names zero-copy data agents, developer API workflows and ABAP extensions for AI integration, the last of which is the Extensibility concern; Business Data Cloud is the one atlas entry it names, and how any piece connects to another is not stated. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Ekaterina Kruse, Ian Moria and Stany Winkler, written here from SAP's abstract; the recording is not yet published.Talk,
Deploy, review, break, fix: Govern cloud transports with agility and AIpublishedFive BTP services in one delivery chain, as the abstract lays it out: a transport is triggered in SAP Content Agent Service, tested in SAP Cloud Transport Management, its failure is raised by SAP Alert Notification service for SAP BTP and remediated by a SAP Joule agent with SAP Automation Pilot, and SAP Cloud Logging keeps the history for root-cause analysis. The chain from alert to remediation is the operations automation concern; what the Joule agent decides on its own is not in the abstract. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Biser Simeonov, Daniel Funkert, Sven Rullmann and Thorsten Sandfuchs, written here from SAP's abstract; the recording is not yet published.Talk,
Extending SAP Autonomous SuitepublishedExtensibility across SAP Autonomous Suite: AI-enabled development in SAP Build solutions, the ABAP Cloud model among them, as the way extensions are designed, generated and deployed, and a direction for making extensions ready for agentic AI. The abstract names the suite, SAP Build and the ABAP Cloud model and no single feature, so the edges are to Extensibility, the concern, and to SAP Build Code, the SAP Build solution held here in which Joule generates and deploys development; which other SAP Build solutions the session shows is not stated. A TechEd 2026 session (Tuesday 27 October, Berlin), presented by Alexander Rother and Khaled MUSILHY, written here from SAP's abstract; the recording is not yet published.Talk,
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From intent to extension: Joule and the future of solution extensibilitypublishedHow Joule turns natural-language intent into extensions across SAP Autonomous Suite: intent-based agent extensions, enriching the agents SAP delivers, packaging options for partners and what SAP calls a harmonised extensibility experience. The edges are to SAP Joule, which does the translating, and to Extensibility, the concern; the abstract names the directions and no feature that ships today. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Amitha Kamath, Oren Shatil and Richard Kuba, written here from SAP's abstract; the recording is not yet published.Talk,
Navigating the road map for SAP Cloud ERP: Today, next, and beyondpublishedSAP's near-term and long-term plans for SAP Cloud ERP by theme: embedded AI, process automation, lifecycle management and extensibility, with timelines and adoption paths toward what SAP calls the Autonomous Enterprise. SAP Cloud ERP has no artifact here, so the edges are to the two concerns the road map names, Extensibility and Process automation; the abstract names no product or feature under either, and whether its process automation is SAP Build Process Automation is not stated. A TechEd 2026 session (Tuesday 27 October, Berlin; also TM815V, virtual), presented by Lawrence Martin and Sasa Markovic, written here from SAP's abstract; the recording is not yet published.Talk,
The journey with clean core continues for SAP Cloud ERP PrivatepublishedClean core in SAP S/4HANA Cloud Private Edition as it stands in 2026: what is new in extensibility, new capabilities in the dashboard for the RISE with SAP Methodology, how AI helps make custom code compliant with clean core, and new guidance on data, integration and clean core in relation to SAP's API policy. The edges are to Extensibility, the concern the session is about, and to ABAP Cloud readiness, the concern behind making custom code compliant; the abstract names no tool for either and the dashboard is not held here. A TechEd 2026 session (Wednesday 28 October, Berlin; also TM108V, virtual), presented by Markus Goebel and Olga Dolinskaja, written here from SAP's abstract; the recording is not yet published.Talk,
Use change and deployment management in an ABAP environment with confidencepublishedSAP Cloud Transport Management with SAP Cloud ALM as the governed way to move changes from a cloud-optimised ABAP environment into production: the abstract says the session sets out the process, where it differs from classic transport mechanisms, the current state of every content type it carries, and an outlook on deploying agents through it, which is the transport management concern on the cloud side. What each content type covers, and when agent deployment arrives, is not stated. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Moritz Gysler and Sven Rullmann, written here from SAP's abstract; the recording is not yet published.Talk,
What's next in extensibility for SAP Autonomous SuitepublishedAgent-driven extensibility across SAP Autonomous Suite as SAP sees it ahead: what is coming for making extensions ready for agentic AI and how SAP's assistants are meant to help with it. The edge is to Extensibility, the concern; the abstract names no assistant, no feature and no date. A TechEd 2026 session (Wednesday 28 October, Berlin), presented by Alexander Rother and Oren Shatil, written here from SAP's abstract; the recording is not yet published.Talk,
Fri 9
1 change
Unleashing ABAP Potential: An introduction to Extension Libraries (XCO)publishedIntroduces ABAP's Extension Libraries (XCO), a library framework that puts reusable functionality behind one interface. The post places it as part of the ABAP RESTful Application Programming Model but versatile enough for other ABAP contexts, and says it works in both on-premise ABAP and the ABAP environment on SAP Business Technology Platform. It walks through a worked Logging example: xco_log=>factory->create_new_log opens a log keyed by object, subobject and external ID, logger->add_message appends a typed message, and logger->add_last_symsg attaches a problem class and level of detail for later traceability.Blog,
Sun 4
1 change
Clean Core IndexpublishedDescribes a company-built KPI, the Clean Core Index, that scores existing custom ABAP code by object type — reports, function modules, SAPScript/Smartforms, ATC S/4 readiness-check findings, user exits and modifications — each weighted by a severity the author sets for redesign effort and upgrade risk, with counts read off CDS views built for the purpose. The index is the author's own definition rather than an official one and does not by itself certify public-cloud readiness, but tracking it weekly shows where custom code still blocks a move to ABAP Cloud and lets progress be read per module or per object type.Blog,
Sat 3
2 changes
ABAP's Parallel Processing Frameworks: Practical Guide to Performance Tuning of Mass Data ProcessingpublishedSurveys ABAP's two parallel processing technologies, asynchronous RFC (aRFC) and the queued, exactly-once background RFC (bgRFC), and the six frameworks built on top of them, SPTA, SHDB, CL_ABAP_PARALLEL, the Background Processing Framework, the Parallel Processing Framework and the Mass Data Framework, each by its own entry point: a function module, a factory class or a Customizing transaction. A Qualitative Weight and Summ matrix then compares the frameworks across criteria such as package creation, load balancing and documentation quality, stated as the author's own subjective scoring for one project rather than a ranking.Blog,
Enhancing Standard BAPIs: When and How to Do ItpublishedWalks through why a standard BAPI needs enhancing — a missing field, an extra validation, logic before or after the call, or a performance tweak — and five ways ABAP offers to do it: a BAdI found in SE18/SE19, an append structure for extra fields, a classic user exit wired through SMOD/CMOD, a wrapper function module copied from the original, or an implicit enhancement when no other extension point exists. Each technique gets its own steps, and two carry a short ABAP code example.Blog,
Fri 2
2 changes
Clean Core清洁核心概况介绍publishedExplains Clean Core as SAP's architecture methodology for decoupling custom code from standard code, and walks through the A-D grading SAP uses for a single extension's cleanliness: D for direct modification of standard tables, programs, classes or functions, or disallowed patterns such as implicit enhancements; C for internally developed functions calling unreleased APIs; B for using only SAP's classic or released APIs (BAPI, ALV Grid, BAdI); A for side-by-side extensions reached only through released interfaces onto the SAP Build extension suite. It lays out a six-step roadmap for reaching Clean Core — inventorying existing extensions, setting a reduction target, surveying SAP's extension routes (SAP GUI SE80, Fiori custom fields and logic, BTP high/low-code, workflow/RPA), writing a decision tree, splitting new development from legacy migration, and reviewing periodically — while noting that in-app development is not inherently unclean and that real decisions should weigh ROI rather than follow the theory absolutely.Blog,
S/4HANA公有云版的内部ABAP拓展publishedArgues that S/4HANA Cloud public edition's in-app ABAP extensibility is still real ABAP development, just under stricter rules: developer extensions require ABAP Development Tools rather than SAP GUI transactions, data models are defined as CDS views instead of SE11 tables, business logic is a RAP behavior definition instead of a function module, and service exposure is an auto-generated OData service from a Service Definition instead of a hand-built RFC/BAPI. The piece walks a worked example — a Fiori app that triggers the Purchase Requisition API — through CDS, RAP, OData activation on SAP Gateway, and authorization via business catalogues, and frames the whitelist of released APIs and CDS views as upgrade-safety rather than a restriction.Blog,

Tue 29
1 change
S/4HANA Observability: Streaming SAP Cloud ALM & LogServ Telemetry to BigQuery & Vertex AIpublishedWalks through pulling SAP Cloud ALM's Outbound Logs, Metrics and Traces APIs — OAuth 2.0 client-credentials auth, protobuf-encoded OTLP payloads, and the guardrails needed against its rate limits and 24 GB/30-day retention baseline — plus SAP LogServ's infrastructure logs, into Google BigQuery for multi-year, cross-domain storage. A time-window SQL join then correlates ABAP exceptions, health metrics, infrastructure events and ITSM tickets, with the joined record passed to Vertex AI (Gemini) to draft a structured incident dossier.Blog,
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