Amazon Technologies, Inc.

Vijaya Rama Reddy Kistampalli

Sayantan Chakravorty

Nabanita Maji

Sahil Dorwat

Sankalp Bhatia

Nagarjuna Koduru

Ronil Sudhir Mokashi

Prashant Verma

Cristi Ursachi

Sorin Manole

Andrii Galyuzin

Francesco De Martino

Shreeja Kumar

Various embodiments of systems and methods for providing virtualized (e.g., serverless) broker clusters for a data streaming service are disclosed. A data streaming service uses a front-end proxy layer and a back-end broker layer to provide virtualized broker clusters, for example in a Kafka-based streaming service. Resources included in a virtualized broker cluster are monitored and automatically scaled-up, scaled-down, or re-balanced in a way that is transparent to data producing and/or data consuming clients of the data streaming service.

Data streaming service with virtualized broker clusters

Various approaches enable real-time data encryption using an encryption profile that enables a customer to specify the type of data to encrypt and the encryption keys to use when encrypting the data. A profile editor that a customer (e.g., a customer of a content provider) can use to create and manage encryption profiles that can be used to encrypt data can be provided. A profile editor or set of request parameters can allow customers to configure content distributions and associate encryption keys with a profile to encrypt user sensitive data. A customer can select, define, and/or modify the encryption options or other configuration settings for a profile. Once set, the profile can be used to securely ingest user-submitted data to customers' web servers. For example, a request can be analyzed to determine data fields of the request. Based on one or more profiles associated with the customer, the data in those fields can be encrypted with the appropriate encryption key per the profiles.

Encryption profiles for encrypting user-submitted data

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Seattle, WA, United States of America

Vijaya Rama Reddy Kistampalli