Salesforce Com, Inc.

Salesforce, Inc.

Jayant Kumar

Gopi Krishna Mudumbai

Venkateswararao Jujjuri

Anup Ghatage

Harsha Vattem

Ram Narsimhamurty Mantri Pragada

Sushanth Rai

Techniques are disclosed for managing metadata of a distributed database system in a hybrid manner. A computer system may receive, from a computing device, a request to access a set of data stored in nodes of a distributed storage system that is a caching layer of the system. The system retrieves metadata for a set of data specified in the request, including accessing a reversemap storing a reverse-ordered copy of original metadata stored in a metadata store of the system, where the reversemap is stored on durable storage of the system. Based on retrieving the metadata from the reversemap, the system accesses nodes of the distributed storage system, where the reversemap specifies the nodes of the distributed storage system that store the set of data. The system transmits, to the computing device, information indicating a result of accessing data stored in nodes of the distributed storage system.

Hybrid database system for strongly consistent and highly scalable metadata storage

Techniques are disclosed in which a server computer system manages a database cache for multiple different tenants. The system may retrieve, from a database cache storing data for different tenants, a set of key-value entries and cache metadata for the set of key-value entries. Further, the system may identify, based on analyzing keys of key-value entries, tenants corresponding to respective ones of the set of key-value entries. The system may generate, based on the identified tenants and cache metadata for cache entries corresponding to the identified tenants, current usage metrics for the database cache. Based on the current usage metrics for the cache, the system may determine whether to adjust one or more operation parameters of the cache. Disclosed cache management techniques may advantageously allow for analysis of cache usage metrics for individual tenants and more efficient use of the cache (e.g., by altering cache parameters for individual tenants).

Cache management for multiple tenants

Systems and methods for controlling cache usage are described and include associating, by a server computing system, a tenant in a multi-tenant environment with a cache cluster formed by a group of cache instances; associating, by the server computing system, a memory threshold and a burst memory threshold with the tenant; enabling, by the server computing system, each of the cache instances to collect metrics information based on the tenant accessing the cache cluster, the metrics information used to determine memory usage information and burst memory usage information of the cache cluster by the tenant; and controlling, by the server computing system, usage of the cache cluster by the tenant based on comparing the memory usage information with the memory threshold and comparing the burst memory usage information with the burst memory threshold.

Controlling memory usage in a cache

Disclosed are some implementations of systems, apparatus, methods and computer program products for deploying software applications on server clusters. Characteristics of the server clusters are used to generate a deployment plan indicating an order in which the server clusters are to be updated and a timing with which the server clusters are to be updated. The characteristics of a server cluster can include a risk rating associated with the server cluster, an amount of traffic processed by the server cluster, and/or a size of the server cluster.

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Telangana, India

Jayant Kumar