Emc IP Holding Company LLC

Michael Rhodes

Assaf Natanzon

Antony Bett

Luay Al-Alem

Systems and methods for performing data protection operations in a containerized application. A sidecar application is associated with or attached to a main application. The sidecar application has access to the resources of the main application. Backup requests are handled by the sidecar so that the application, which may be stateful, can be placed in a consistent state prior to performing the backup operation. The backup operation is then performed on the consistent application or on the data that is quiesced.

Application consistent snapshots as a sidecar of a containerized application

A containerized environment and application that are configured for component specific continuous replication and granular application level application. A key value store, which stores key values related to configuration data of the containerized application, is replicated continuously to a replicated key value store at a replica site. Persistent volumes may also be replicated to a replica site. The replication can be performed to multiple replica sites in an application specific manner.

Continuous replication and granular application level replication

One example method includes discovering an application topology, discovering relationships between microservices that are elements of the application topology, ranking the microservices, identifying one or more of the microservices as a persistency microservice, selecting one or more persistency microservices for backup, and defining a backup policy based on the microservice relationships, the microservice rankings, and the selected persistent microservices. A backup operation is then performed that includes backing up persistent data and/or persistent metadata generated and/or modified by one or more of the persistency microservices.

Smart dynamic restore for Kubernetes based applications

One example method includes identifying a group of microservices that form respective portions of an application, capturing any relations among microservices in the group of microservices, generating one or more restore policies for the application, based on identified relations among the microservices in the group of microservices, and configuring one of the restore policies so that such restore policy specifies restoring, together, a microservice that was identified as a partial cause of a problem, and any other microservices that are dependent on that microservice.

Automatically setting a dynamic restore policy in a native cloud environment

Systems and methods for discovering applications. An application may be discovered by determining a topology of the application in a containerized platform. Discovering the topology may include determining the components of the application and then determining relationships between the components. The relationships may include whether a component (e.g., a microservice) is user facing and may be based on traffic patterns between the components. The components or microservices may be prioritized or ranked based on the topology. The topology can be used when performing a data protection operation such as a restore operation.

Prioritizing microservices on a container platform for a restore operation

Systems and methods for performing data protection operation on an application in a manner that is integrated with the environment of the application being protected. A dynamic policy is associated with the data protection application so that a data protection operation can be performed whenever the policy is triggered.

Automatically setting a dynamic backup policy in a cloud environment

One example method includes receiving an indication that an application has experienced a problem, where the application comprises a plurality of microservices, discovering that one of the microservices is a partial cause of the problem, identifying one or more connections among the microservices, where one or more of the connections indicates a dependency, or lack of dependency, among two or more microservices, and restoring the microservice that is a partial cause of the problem, and also restoring any other microservices that are dependent on that microservice.

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Stamford, CT, United States of America

Michael Rhodes