Cloud computing

AI generated image of a Working Data Center Full of Rack Servers and Supercomputers

Source: visoot - stock.adobe.com

Cloud computing is defined as the provision of special online services, usually delivered over the Internet ("the cloud"). These services include network-based access to a pool of shared physical or virtual resources such as storage devices, databases, servers, computing capacity, operating systems, software and analytics functions [1]. The range of services offered under the heading of cloud computing thus covers the full spectrum of information technology.

Cloud computing is considered a basic technology for Industry 4.0 [2]. It enables devices in the Internet of Things (IoT) to be connected to a network and managed and provides access to tools for use with artificial intelligence (AI) or machine learning. Applications such as apps can be developed, deployed and scaled, audio and video content streamed, backup solutions provided, data swiftly recovered in the event of loss, and tools offered for analysing large volumes of data (Big Data) [3].

In 2024, 81% of companies in Germany were using cloud computing and a further 14% were planning to do so or were discussing the possibility; only 5% were not interested in the cloud [4]. Other sources estimate that as many as 94% of companies [5] and 98% of companies with 50 or more employees use cloud services [6]. 58% of the companies surveyed already had a dedicated cloud strategy in 2024, while 64% had a cloud project team or a Cloud Centre of Excellence (CCoE) that pooled the company’s expertise [7].

In a private cloud, the cloud infrastructure is operated exclusively for a single institution. Conversely, a public cloud makes its services available to the general public, or to a large group such as a sector of industry. In a community cloud, the infrastructure is shared by several institutions with similar interests. If several independent cloud infrastructures are shared through standardised interfaces, the result is referred to as a hybrid cloud [1].

A distinction is drawn between different categories of service models: 1) Infrastructure as a Service (IaaS): users rent computing power, main memory and data storage, for example, and run an operating system on this infrastructure together with applications of their choice. 2) Platform as a Service (PaaS): the provider makes a complete infrastructure (operating system, hardware) available and offers standardized interfaces on the platform through which users can run their own applications – without having control over the underlying IT system. 3) Software as a Service (SaaS): turnkey software applications are made available. The provider is responsible for all IT administration, maintenance work and software updates [1]. 4) Big Data as a Service (BDaaS) is a special form of cloud computing. BDaaS is based on cloud storage, a service model in which data is transferred and stored on remote systems where it is maintained, managed, backed up and made available to users over the Internet [8; 9]. Serverless computing integrates many of the features and benefits of IaaS, PaaS and SaaS [10], and is focused on the development of app functions. The cloud provider takes care of setup, capacity planning and server management [3].

The use of cloud services offers a number of advantages and extends beyond traditional outsourcing. In a cloud, multiple users share a common infrastructure, enabling them to reduce their investment costs. Cloud services are flexible and can therefore be scaled up or down within much shorter time frames. Cloud computing services are usually run in a global network of secure data centres that are regularly upgraded to the latest generation of computing hardware. The cloud services used are usually controlled by the users themselves through a web interface. They can manage the desired services through a browser or other suitable interface; little interaction with the provider is required. In addition, considerable computing resources are available within minutes. Cloud computing simplifies the backup of data and its recovery in an emergency, and reduces the associated costs, as data can be mirrored at multiple redundant locations in the cloud provider’s network. The technologies used in cloud computing enable the IT service to be distributed dynamically across multiple locations that may be geographically far apart (either in the same country and abroad) [3].

The GAIA-X project, launched in 2019, aims to create the next generation of a powerful and secure data infrastructure in Europe. In the future, data and services will be made available in a transparent and open digital ecosystem, merged technically and shared securely to permit greater independence from the United States and China. GAIA-X also aims to promote the spread of cloud solutions on a significant scale in Germany and elsewhere in the EU [11]. Whether the goal of a sovereign European data cloud provided by GAIA-X or other platforms such as IPCEI-CIS (Important Project of Common European Interest – Cloud Infrastructure and Services) is attainable, remains to be seen [12].


  • What is accelerating the trend, and what is slowing it down?

    Technological developments are a key driver of cloud services. For example, 6G (the sixth generation of mobile communications) and fibre-optic cables permit higher Internet speeds and thus faster and more reliable access to the cloud. The integration of AI and edge computing – decentralised data processing at the periphery of the network – permits smarter and more efficient cloud solutions. Edge computing and cloud computing can complement each other in a hybrid network, also known as distributed computing. This use of multiple computers or processors connected to each other over a network to perform a shared task is particularly important for the provision of fast access to large volumes of data or real-time computations [13]. With a growing number of providers (Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), etc.), cloud infrastructures are expected to become more established and to improve further. The rising prevalence of big data and analytics is a further factor in companies’ increasing use of cloud services to store and process large volumes of data.

    Rapid technological progress, the high complexity of modern IT solutions and growing competition are forcing companies to implement innovative solutions and modernize their IT infrastructures. Cloud computing offers access to the latest technologies and applications. Especially Start-ups and small businesses are dependent on flexible IT solutions. Pay-as-you-go models for cloud services offer flexibility and require lower initial investment. Open-source cloud technologies can lower the barriers to entry for companies: in this model, the source code is publicly available and can therefore be inspected, used and developed further by any party, usually free of charge. The growing acceptance and spread of remote work – even working from anywhere in the world – is based on cloud-based tools and increases their use.

    Trust in the security and reliability of cloud services is an important factor in their acceptance. Many cloud providers invest heavily in security measures such as encryption, access controls and zero-trust models (which assume that there is no security, even behind the company firewall, and check every request). Cloud solutions also facilitate compliance with extensive statutory requirements (e.g. the General Data Protection Regulation, GDPR), and against the backdrop of rapid rises in cybercrime, can ensure greater protection against outages. Cloud disaster recovery, for example, is a combination of strategies and services for backing up data, applications and other resources in a public cloud or in a specialised service provider’s infrastructure. In the event of a cyber-attack, the affected data, applications and other resources can be restored in this infrastructure [14].

    Given the growing importance of environmental protection and sustainable practices, increasingly more companies are recognising the need to make their IT infrastructures more environmentally responsible. Compared to traditional infrastructures, in which IT resources are located locally in a company’s own data centres, cloud solutions can significantly reduce energy consumption. This is partly because cloud providers typically operate energy-optimized data centres that help their customers achieve better energy efficiency. An environmentally responsible energy supply also goes hand in hand with cloud computing. Many cloud providers are increasingly turning to renewable energies to power their data centres. Finally, the use of cloud services enables companies to reduce their own IT hardware overhead, in turn leading to a reduction in electronic waste, as fewer devices need to be disposed of and recycled [15]. Energy-efficient cloud computing has become an important area of activity for the EU in view of the high energy requirements of digital technologies. The European Commission is currently examining measures to improve energy efficiency and the performance of the circular economy in cloud computing and data centres [16].

    According to the "Cloud Transformation 2024" study, cloud computing poses challenges for companies primarily in terms of data protection and compliance (43%) and data security (37%). Strategic hurdles include the complexity of the topic (41%) and budget issues (30%) [7]. Microenterprises are not necessarily more averse to using cloud services. For them, too, data backup and security present the biggest obstacles. To these are added concerns regarding vendor lock-in (such as price increases or changes to terms and conditions that they are unable to reject), uncertainty regarding the data protection situation, and inadequate Internet speed [17]. Implementing IT security and satisfying comprehensive statutory requirements (IT compliance) is a major challenge, especially for companies operating internationally. Since legislation relating to this relatively young technology varies considerably from region to region and is subject to rapid change, companies may have concerns regarding the security of their data in the cloud [18].

    Challenges presented by technical implementation may also be a barrier. For example, integrating existing systems and applications into the cloud is demanding and time-consuming, as they often require extensive adaptation. Companies also have concerns regarding the availability and reliability of cloud services, especially for business-critical applications. In addition, unstable and slow Internet connections may cause problematic delays in real-time applications.

    Over the longer term, the costs of cloud-based solutions may be higher than those of companies’ own IT infrastructure – for example where they involve large volumes of data with high input and output loads, or existing infrastructure that has already been written off – and complex pricing models can make it difficult to keep track of costs. Finally, a lack of expertise and resistance to change within an organisation are fundamental obstacles to the establishment of cloud structures.

  • Who is affected?

    Cloud computing is already in widespread use, with the following sectors using cloud technologies particularly intensively: IT and software development, telecommunications, finance and banking, e-commerce and retail, healthcare, the public sector, manufacturing, the automotive industry, education and research, logistics and transport, and media and entertainment.

  • Examples (in German only)
  • What do these developments mean for workers’ safety and health?

    The impacts of cloud computing upon safety and health are very similar to those described in the trend reports on cybercrime and big data. Both employees of cloud service operators and users of cloud computing are affected.

    The work of cloud service operators places considerable demands on workers’ knowledge of data processing, legal compliance, data security and data protection. Technical problems, including those caused by cyber-attacks and force majeure (e.g. natural disasters), may severely disrupt operations. Even brief outages (of the Internet) may have consequences with serious repercussions for the company – and for the cloud service users, who then exert additional pressure. All these factors can lead to overload and stress. Shift work and night work in operational activities may also impose a burden. Work performed seated is a further issue, as is the pressure to undertake constant further training, as knowledge in this sector becomes obsolete extremely quickly. Finally, fears for job security may arise, as tasks in data centres (such as maintenance, monitoring, fault detection) are increasingly being automated.

    Dealing with technologically demanding cloud systems on the user side entails considerable financial and human resources and demands a high level of IT expertise and knowledge and considerable time investment on the part of all workers. Unsurprisingly, those working in the IT sector are particularly affected. Time pressure and particular incidents may lead to work intensification and overload. The human resources, often already scarce, may also contribute to high mental strain and stress.

    Protection of sensitive data is of fundamental importance, as vulnerabilities may expose business-critical information and impair business operations. Data loss or cyber-attacks may violate data protection requirements and the personal rights of workers. The potential scale of the damage is considerable, extending to physical harm and accidents (refer to the Cybercrime Trend Report). In addition, companies face long-term reputational damage and high compliance fines [19]. This responsibility contributes to high mental stress for those responsible.

    Cloud technologies are key drivers for the further spread of digital work. Cloud computing requires not only sound IT knowledge and skills, but also coordination, planning and monitoring skills, owing to greater networking. Finally, social and communication skills are increasingly needed for coping with complex tasks that are more collaborative in nature [2]. Workers must acquire these skills in addition to their technical expertise. Conversely, workers can access company resources remotely from anywhere in the world, which can promote productivity and cooperation. The use of resources can be made more efficient overall and work made easier through simplified, faster collection and processing of data of all kinds.

    Cloud computing will very likely add further impetus to processes by which work boundaries are being broken down, such as traditional outsourcing, and will also form the basis for new digital forms of work, such as the platform-based economy and crowd working. This will probably blur the boundaries of working hours and the location of work even further, to meet the increasing demands for customer proximity and flexibility. With a changed, more flexible organisation of work, involving models such as remote work and hybrid work, new communication and leadership strategies will become more important, to prevent social isolation or overload and to contribute to dialogue and a positive working atmosphere [2]. The extent to which cloud work, crowd working and outsourcing will lead to large-scale job losses is still unclear [2].

  • What observations have been made for occupational safety and health, and what is the outlook?
    • Cloud computing is used by the great majority of companies, is a key driver of the digital transformation and is fundamentally changing the way IT services are delivered and used. However, this does not raise many new issues for occupational safety and health. Of those it does raise, many are shared with the trends of cybercrime and big data.
    • Cloud computing places high demands on the time of workers at cloud operators and users and on the quality of their performance and can change stress patterns. Risk assessments of mental stress should specifically take this into account to identify unfavourable working conditions at an early stage.
    • Cloud services are potentially exposed to considerable external threats to the cloud infrastructure and place high demands on information security and data protection. It is important that the aspect of cloud security be considered from the outset and suitable security measures taken at an early stage, not least to prevent affected workers suffering stress and overload in the event of emergencies.
  • Sources (in German only)

    [1] Grundlegende Informationen zu Cloud Computing: Was ist Cloud Computing? Hrsg.: Bundesamt für Sicherheit in der Informationstechnik (BSI), Bonn 2025
    https://www.bsi.bund.de/DE/Themen/Unternehmen-und-Organisationen/Informationen-und-Empfehlungen/Empfehlungen-nach-Angriffszielen/Cloud-Computing/Grundlagen/grundlagen_node.html (abgerufen am 17.2.2025)

    [2] Chancen und Risiken mobiler und digitaler Kommunikation in der Arbeitswelt. Hrsg.: Büro für Technikfolgen-Abschätzung beim Deutschen Bundestag (TAB) Berlin 2017
    https://www.researchgate.net/profile/Christoph-Kehl-2/publication/329119029_Chancen_und_Risiken_mobiler_und_digitaler_Kommunikation_in_der_Arbeitswelt/links/5bf69dc192851c6b27d1f2ba/Chancen-und-Risiken-mobiler-und-digitaler-Kommunikation-in-der-Arbeitswelt.pdf (PDF, 3,2 MB, nicht barrierefrei) (abgerufen am 28.2.2025)

    [3] Was ist Cloud Computing? Hrsg.: Microsoft Corporation, Redmond 2025
    https://azure.microsoft.com/de-de/resources/cloud-computing-dictionary/what-is-cloud-computing#:~:text=Cloud%20Computing%20beschreibt%20im%20Prinzip,Ressourcen%20und%20Skaleneffekte%20zu%20unterst%C3%BCtzen. (abgerufen am 17.2.2025)

    [4] Studie zur Cloud-Nutzung deutscher Unternehmen. Hrsg.: Annette Stadler, Vaterstetten 2024
    https://www.ecmguide.de/news/studie-zur-cloud-nutzung-deutscher-unternehmen/ (abgerufen am 4.3.2025)

    [5] 26 Cloud Computing Statistiken & Trends 2024. Hrsg.: SEQUAFY GmbH, München 2024
    https://sequafy.com/cloud-statistiken-trends/#acc-allgemeine (abgerufen am 21.2.2025)

    [6] The triumph of artificial intelligence is increasingly reaching the cloud. Hrsg.: KPMG AG Wirtschaftsprüfungsgesellschaft, Berlin 2024
    https://kpmg.com/de/en/home/media/press-releases/2024/10/the-success-of-artificial-intelligence-also-reaches-the-cloud.html (abgerufen am 4.3.2025)

    [7] Cloud Transformation 2024. Hrsg.: Foundry, München 2024
    https://get.plusserver.com/hubfs/Assets/Studien/Studie_Cloud-Transformation_24_DE.pdf?utm_campaign=IT-Modernisierung&utm_medium=email&_hsenc=p2ANqtz-9gjeSx9jFWEMdonW_2DB-yrzfyoXWAARNUWXAYvbOENMC0OVKNA2YX4ZpafztNaXTyETs8jUzecQltujo8TTBOXyNJjQ&_hsmi=304936528&utm_content=304936528&utm_source=hs_automation (PDF, 8,9 MB, nicht barrierefrei)(abgerufen am 4.3.2025)

    [8] Cloud Storage (Cloud-Speicher). Hrsg.: TechTarget, Inc., Newton 2025
    https://www.computerweekly.com/de/definition/Cloud-Storage (abgerufen am 18.2.2025)

    [9] Big Data as a Service (BDaaS). Hrsg.: TechTarget, Inc., Newton 2025
    https://www.computerweekly.com/de/definition/Big-Data-as-a-Service-BDaaS (abgerufen am 18.2.2025)

    [10] Big Data as a Service. Hrsg.: Snowflake Inc., Bozeman 2025
    https://www.snowflake.com/trending/big-data-service/ (abgerufen am 8.4.2025)

    [11] Datenwirtschaft in Deutschland - Wo stehen die Unternehmen in der Datennutzung und was sind ihre größten Hemmnisse? Hrsg.: Bundesverband der Deutschen Industrie e.V. (BDI), Köln 2021
    https://www.iwkoeln.de/studien/klaus-heiner-roehl-lennart-bolwin-wo-stehen-die-unternehmen-in-der-datennutzung-und-was-sind-ihre-groessten-hemmnisse.html (abgerufen am 24.7.2024)

    [12] Gaia-X ist tot, lang lebe 8ra? Hrsg.: IDG Tech Media GmbH, München 2025
    https://www.computerwoche.de/article/3821798/gaia-x-ist-tot-lang-lebe-8ra.html (abgerufen am 20.2.2025)

    [13] Der Vergleich: Edge Computing vs. Cloud Computing. Hrsg.: SCHÄFER Ausstattungssysteme GmbH, Neunkirchen 2025
    https://www.schaefer-it-systems.de/de/newsroom/detail/edge-computing-vs-cloud-computing/#:~:text=Obwohl%20sie%20einige%20Gemeinsamkeiten%20haben,Server%20(Remote%20Locations)%20verwendet. (abgerufen am 21.2.2025)

    [14] Cloud Disaster Recovery (Cloud DR). Hrsg.: TechTarget, Inc., Newton 2025
    https://www.computerweekly.com/de/definition/Cloud-Disaster-Recovery-Cloud-DR (abgerufen am 24.2.2025)

    [15] Clouds for Future: Wie Nachhaltigkeit in der Cloud den Kampf gegen die Klimakrise unterstützt. Hrsg.: Claranet GmbH, Frankfurt 2025
    https://www.claranet.com/de/blog/nachhaltigkeit-in-der-cloud (abgerufen am 24.2.2025)

    [16] Grüne Cloud und grüne Rechenzentren. Hrsg.: Generaldirektion Kommunikationsnetze, Inhalte und Technologien der Europäischen Kommission, Brüssel 20225
    https://digital-strategy.ec.europa.eu/de/policies/green-cloud (abgerufen am 24.2.2025)

    [17] Motivationsfaktoren für oder gegen einen Einsatz von Cloud-Lösungen in Kleinstunternehmen. Hrsg.: Springer Nature AG & Co. KGaA, Berlin 2020
    https://link.springer.com/article/10.1365/s40702-020-00650-7 (abgerufen am 26.2.2025)

    [18] IT-Sicherheit und Compliance in heterogenen Cloud Umgebungen - Compliance-as-Code als Schlüssel zur Umsetzung regulatorischer Anforderungen. Hrsg.: Springer Nature AG & Co. KGaA, Berlin 2023
    https://link.springer.com/article/10.1365/s40702-023-00995-9 (abgerufen am 26.2.2025)

    [19] 17 Security Risks of Cloud Computing in 2025. Hrsg.: SentinelOne, Mountain View 2024
    https://www.sentinelone.com/cybersecurity-101/cloud-security/security-risks-of-cloud-computing/ (abgerufen am 28.2.2025)

Contact

Dipl.-Psych. Angelika Hauke

Work Systems of the Future

Tel: +49 30 13001-3633


Dipl.-Übers. Ina Neitzner

Work Systems of the Future

Tel: +49 30 13001-3630
Fax: +49 30 13001-38001