Abstract
Serverless computing has been around for a long time (the exact date depends on what is considered to qualify as serverless) but has only recently been gaining popularity due to its higher abstractions (such as new frameworks and runtimes) and simplified access offered by the main providers. Serverless computing is a powerful tool for development and research, although it is highly constrained in order to provide high-level features to the users. Serverless computing provides a more technical abstraction layer to improve tasks in the cloud, for which explanations and examples are provided in this chapter.
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Notes
- 1.
Note that there is no security or authentication in this implementation; it is simply a proof of concept: anyone with the URL can make a GET request and insert data in the GCS bucket.
References
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Añel, J.A., Montes, D.P., Iglesias, J.R. (2020). Serverless Experiments in the Cloud. In: Cloud and Serverless Computing for Scientists. Springer, Cham. https://doi.org/10.1007/978-3-030-41784-0_7
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DOI: https://doi.org/10.1007/978-3-030-41784-0_7
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