Netapp, Inc.

Arun Kumar Pandey

Sateesh Kumar Pola

Sreenath Korrakuti

Vinay Kumar B C

Sushrut Bhowmik

Rama Kant Pathak

Dilip Krishnan

Srikanth Venkatesh Goutham

Venkata Manikanta Reddy Mopuri

Priyanka Jain

Suruchi Kumari

Techniques are provided for input/output operations per second (IOPS) and throughput monitoring for dynamic and/or optimal resource allocation. These techniques provide automated monitoring of resources, such as memory and processor utilization by a container accessing a volume. The automated monitoring is performed in order to generate and execute intelligent recommendations for improved resource utilization. Resource allocations can be scaled up to meet I/O load demand and satisfy service level agreements (SLAs). Resource allocations can be scaled down or adjusted to conserve resources, such as by consolidating containers or pods hosted in multiple virtual machines into a single virtual machine and decommissioning virtual machines no longer hosting containers or pods.

Input/output operations per second (IOPS) and throughput monitoring for dynamic and optimal resource allocation

Presented herein are methods, non-transitory computer readable media, and devices triggering a metadata recovery process within a network storage system, which include: dividing metadata into metadata segments, wherein each of the metadata segments is tasked to perform a specific file system operation function, validating each of the metadata segments during the specific file system operation function; upon failure to validate at least one of the metadata segments, triggering an automatic repair process while maintaining the operation function tasked to the metadata segment, and upon finalizing the automatic repair process, resuming the specific file system operation function tasked to the metadata segment.

Automatic incremental repair of granular filesystem objects

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Bengaluru, India

Arun Kumar Pandey