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IT security & infrastructures

High availability and data storage with Storage Spaces Direct (S2D)

Storage Spaces Direct (S2D) is a function of Microsoft Windows Server (starting with version 2016) to build a software-defined storage solution. The use of additional hardware storage is not necessary.

Storage Spaces Direct is the corresponding function that paves the way to high availability solutions on server basis. A common storage space is created - the so-called Storage Space - which extends over several storage media / data carriers. On this common storage space, storage units (volumes) are managed, which behave like local drives. This is all called "hyper-convergence" - the merging of different resources under one management.

When using Storage Spaces Direct, a central storage can be dispensed with, since the storage media of the connected servers are accessed here and the failure of components (e.g. in the event of an accident) is compensated for via the shared storage space. Even if two complete servers fail, the functionality of Storage Spaces Direct intercepts these failures and maintains operation.

Storage Spaces Direct - commercial advantages

  • Building high availability without centralized storage
  • No special hardware necessary - use of standard servers and Ethernet
  • Full scalability when expanding the solution
  • Flexibility in the use of hardware, since the solution works software-defined

Storage Spaces Direct becomes Azure Stack HCI

Microsoft Azure Stack HCI was developed on the basis of Storage Spaces Direct ( S2D ) starting with Windows Server 2019. Click here to go to the current Microsoft hyper-convergent system.

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IT security & infrastructures

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Privacy Information for Users of Our SIGMA Question Bot (Privacy Policy)

Use of Chatbot

(1) This website uses a chatbot developed exclusively by us. The chatbot is a software-based dialog system that enables text- or voice-based communication with a technical system.
The chatbot operates on the RAG (Retrieval-Augmented Generation) approach, retrieving data from a database to answer questions as accurately as possible. These data, along with the user’s question, are sent to the language models of OpenAI, Inc. without transmitting any personal information about the user. The models attempt to answer the question using the provided data and return the response. The data are sourced from one of our internal databases, comprising text documents with marketing information about products and services of the SIGMA Group.

(2) The following data are processed: session ID for user requests, the time of the request, the request itself, the chatbot’s response, the topic, and the language.

(3) We process this data to analyze the productivity of our chatbot and to continuously improve it. This includes the following purposes:

  • Chatbot performance optimization: We collect and analyze interactions with the chatbot to evaluate its efficiency and performance. This includes, for example, questions the chatbot could not answer, repeated inquiries on specific topics, and similar issues.
  • Enhancing the user experience: We use data to improve the user experience. This includes analyzing user feedback to make adjustments and expansions to the chatbot to better meet your needs.
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The legal basis is Article 6(1) Sentence 1 lit. f GDPR.

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