Serverless Computing

Discover the differences between edge computing and cloud computing. Learn use cases, benefits, and when to choose each for performance, scalability, and real-time processing.

Object storage is a modern data storage architecture designed to handle massive amounts of unstructured data like media files, backups, logs, and large datasets.

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Unter Edge Computing versteht man die Datenverarbeitung auf der Edge – also an oder in der Nähe der Datenquelle – anstatt innerhalb einer zentralisierten Infrastruktur.

Key Value Stores sind eine Art spezialisierte NOSQL-Datenbank, mit der Sie Daten in Form von Schlüssel-Wert-Paaren anstelle einer tabellenbasierten Struktur speichern können. Sie werden in der Informatik auch als „assoziatives Array“ oder „Dictionary“ bezeichnet.

A secret store is a secure, distributed system for storing and managing sensitive information in edge computing environments, such as API keys, certificates, passwords, tokens, and credentials.

A component model is a framework that guides how software parts are designed and put together within a system. It's like a blueprint for building with digital Lego blocks. Each block, or component, is a self-contained unit that does a specific job.

The WebAssembly System Interface (WASI) offers a solution by providing common standards for running WebAssembly modules outside of web browsers, allowing for smoother integration with other systems and software used by your company.

WebAssembly is an open binary instruction format created to enhance the speed and efficiency of web applications.

Cloud computing provides users with on-demand access to computing resources, such as servers, storage, applications, and services all over the internet, instead of storing and managing them locally on their own servers or data centers.

Edge computing is computational processing at the edge of the network, at or near the source of the data, instead of processing within a centralized infrastructure.

Serverless computing is a type of cloud computing - a dynamic method of delivering backend services on an as-needed basis.

Application observability is a comprehensive approach to understanding and managing the performance of your software systems by collecting, correlating, and analyzing telemetry data from various components of your applications.