Serverless computing

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Serverless computing is a cloud computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources.
Serverless computing
Definition
Serverless computing is a cloud computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources.
Serverless computing
Serverless computing
Serverless computing is a cloud computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources.

Pronunciation

English

Serverless computing

Serverless computing
SpellingServerless computing
Pronunciation[Serverless computing]

Mentions

We build our data analytics products to be easy to use, and tightly integrated with the rest of Google Cloud’s ecosystem. BigQuery is built for speed, letting you analyze gigabytes to petabytes of data using ANSI SQL with no operational overhead. BigQuery’s serverless model means that resource provisioning happens behind the scenes, so you can focus on analytics instead of managing infrastructure. Customers can now run analytics at scale with a 26% to 34% lower three-year TCO than cloud data warehouse alternatives.

GraphQL and serverless are two important trends that both, interestingly enough, originated in late 2014 and are now the new mainstream entries in the technological toolbox of developers. According to Google Trends, AWS Lambda and GraphQL now have equal momentum in regards to microservices.

Serverless architecture has fast become a hot topic in tech, thanks partly to its promise of drastically reducing your time-to-market. Nonetheless, many IT leaders remain cautious about serverless because of their fears over vendor lock-in. In this article, I’ll explore the realities of what lock-in means in the context of serverless — and propose strategies to minimize your risks.

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