This document describes the single sign-on (SSO) integration between Azure Active Directory and SAP S/4HANA via SAML 2.0. The integration enables 2,400 users across 3 business units to authenticate against the corporate identity provider, eliminating separate SAP credentials and enforcing MFA policies centrally.
| Parameter | Value |
|---|---|
| Entity ID | https://sap-prod.elium-infra.eu/sap/saml2/sp |
| ACS URL | https://sap-prod.elium-infra.eu/sap/saml2/sp/acs |
| NameID Format | urn:oasis:names:tc:SAML:1.1:nameid-format:emailAddress |
| Sign Assertions | Yes (SHA-256) |
Session timeout mismatch: Azure AD session lifetime (60 min) exceeds SAP ICM timeout (30 min), causing re-authentication prompts mid-session. Workaround: increase ICM parameter icm/HTTP/session_timeout to 3600 in transaction RZ10. Permanent fix pending SAP Note 3412055 (scheduled SP08).
Capture technical knowledge — system architecture, configuration steps, API references, environment setup — in a consistent, searchable format. This template ensures documentation stays current and accessible, so teams resolve issues faster and onboard new engineers without relying on tribal knowledge.
Try now in EliumTechnical documentation is a structured reference that describes how a system, application, or infrastructure component works — covering its architecture, configuration, interfaces, and operational procedures in a format that engineers can follow without prior context.
Good technical documentation eliminates single points of knowledge failure. When system details exist only in the heads of the engineers who built them, every departure or role change creates risk. A structured template enforces consistency: each document follows the same format and can be found through the same search. Any qualified engineer can pick up any system — without tracking down the original author.
This template is for teams that build, operate, or support technical systems:
The template has two parts: structured metadata fields and the documentation body.
Metadata fields classify each document:
Documentation body covers the system in depth:
Decision Tree ready: This template also works as an Elium Decision Tree — instead of reading through a static document, guide your team through step-by-step questions that lead directly to the right answer. Learn more about Decision Trees.
Capture faster. Paste architecture notes or configuration files into Elium’s AI. It identifies system components, dependencies, and setup steps — then generates a structured first draft that the engineer reviews rather than writing from scratch.
Retrieve smarter. An engineer asks Elium’s AI: “How do I configure the VPN gateway for the Frankfurt data centre?” The AI returns the exact configuration parameters and setup steps from the relevant document — no scrolling through folders.
Technical documentation decays fast. Systems change, configurations evolve, and documents written months ago describe a state that no longer exists. The challenge is not writing documentation — it is keeping it accurate and findable. Elium combines structured templates with AI-powered search, so engineers find the right document and trust that it reflects current reality.
VINCI Energies — 97,000 employees across 61 countries — faced this at scale. Their IT department of 1,000 engineers had procedures scattered across Word, SharePoint, OneNote, and Teams. By centralising technical knowledge in Elium, they built a single reference point: 4,000+ articles across 110+ spaces, used by 500+ engineers daily. As their team lead noted, the success of a knowledge base depends on a tool that is dynamic, user-friendly, and easy to use.
Related reading: Read more on our blog
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