Vmware, Inc.

Avi Networks

Raju Kumar

Gaurav Rastogi

Sreeram Iyer

Praveen Yalagandula

Aditya Somasundara

Autoscaling comprises: accessing operational data associated with a pool of servers; determining an expected load associated with a service provided by the pool of servers based at least in part on the operational data; determining an estimated capacity associated with the service provided by the pool of servers; determining that an autoscale operation is to be performed based at least in part on the expected load and the estimated capacity, wherein the autoscale operation automatically scales out one or more additional servers or automatically scales in one or more servers in the pool of servers; and performing the autoscale operation.

In intelligent autoscale of services

Core to resource and resource to core mapping is disclosed. In an embodiment, a method includes obtaining an input pattern including a plurality of resource identifiers corresponding to resources. The method further includes applying the input pattern to a guaranteed regular and uniform distribution process to obtain a distribution pattern that indicates a distribution of resources across cores or a distribution of the cores across the resources. The method further includes distributing the resources across the cores or distributing the cores across the resources according to the distribution pattern.

Core to resource mapping and resource to core mapping

Techniques described herein improve network security and traffic management. In an embodiment, a request associated with an identifier (ID) is received. It is determined whether the ID exists in a first membership database (MDB). If the ID exists in the first MDB, the request is serviced subject to a rate limit. If the ID does not exist in the first MDB, it is determined whether the ID exists in a second MDB. If the ID exists in the second MDB, the request is serviced. If the ID does not exist in the second MDB, the request is serviced subject to another rate limit. A response is received. The first and second MDBs can be updated based on the type of received response. In an embodiment, the response is classified as indicative of degraded or typical network performance, and the first and second MDBs are updated accordingly.

Scan protection with rate limiting

In an embodiment, a method includes selecting, among service engines (SEs) executing on a respective plurality of hosts, a set of one or more SEs to perform health monitoring of an application, where a plurality of instances of the application are executing on at least some of the hosts, and the selected SE(s) includes a subset of the SEs. The method includes collecting health monitor data from the selected SE(s), determining a health condition based at least in part on the collected data, and outputting the health condition. In another embodiment, a method includes receiving, at a first SE of a first host among a plurality of hosts, configuration information pertaining to a subset of application instances executing on corresponding ones of the plurality of hosts, obtaining health data pertaining to the subset of application instances, and outputting the health data to be shared by the plurality of hosts.

Collecting health monitoring data pertaining to an application from a selected set of service engines

A network request is received. A server is selected among a plurality of servers eligible to handle the network request, wherein selecting the server includes selecting a server in an ordering of the plurality of servers based its load level. The selected server is enabled to handle the network request.

Capacity-based server selection

Intelligent autoscale of services

Techniques of the present disclosure provide an embodiment of a multistage filter (MSF) that takes a rate limiting parameter. The entries of the MSF are updated upon each access. Each update may cause a different breakdown of entries in the MSF and the entries can be dynamically set to reduce collisions and their impact. In some embodiments, the MSF is: configured based on the rate limiting parameter, used to dynamically monitor network traffic and changing assignments, and adjustable in size. In some embodiments, hashing is performed on a per-row basis and seeding initializes entries of the buckets to entries that are the same within a given row and different within a given column.

Highly scalable fine grained rate limiting

A network request is received. A server is selected among a plurality of servers eligible to handle the network request, wherein selecting the server includes selecting a first server in an ordering of the plurality of servers that has not reached its load threshold. The selected server is enabled to handle the network request.

Growing community of inventors

San Jose, CA, United States of America

Raju Kumar