Abstract: A method of collecting health check metrics for a network is provided. The method, at a deep packet inspector on a physical host in a datacenter, receives a copy of a network packet from a load balancer. The packet includes a plurality of layers. Each layer corresponds to a communication protocol in a plurality of communication protocols. The method identifies an application referenced in the packet. The method analyzes the information in one or more layers of the packet to determine metrics for the source application. The method sends the determined metrics to the load balancer.

Abstract: A method of collecting health check metrics for a network is provided. The method, at a deep packet inspector on a physical host in a datacenter, receives a copy of a network packet from a load balancer. The packet includes a plurality of layers. Each layer corresponds to a communication protocol in a plurality of communication protocols. The method identifies an application referenced in the packet. The method analyzes the information in one or more layers of the packet to determine metrics for the source application. The method sends the determined metrics to the load balancer.

Abstract: A method of collecting health check metrics for a network is provided. The method, at a deep packet inspector on a physical host in a datacenter, receives a copy of a network packet from a load balancer. The packet includes a plurality of layers. Each layer corresponds to a communication protocol in a plurality of communication protocols. The method identifies an application referenced in the packet. The method analyzes the information in one or more layers of the packet to determine metrics for the source application. The method sends the determined metrics to the load balancer.

Abstract: A method of collecting health check metrics for a network is provided. The method, at a deep packet inspector on a physical host in a datacenter, receives a copy of a network packet from a load balancer. The packet includes a plurality of layers. Each layer corresponds to a communication protocol in a plurality of communication protocols. The method identifies an application referenced in the packet. The method analyzes the information in one or more layers of the packet to determine metrics for the source application. The method sends the determined metrics to the load balancer.

Abstract: Some embodiments provide a novel method for collecting and analyzing attributes of data flows associated with machines executing on a plurality of host computers to detect anomalous behavior. In some embodiments, an anomalous behavior is detected for at least one particular flow associated with at least one machine executing on the host computer. In some embodiments, anomaly detection is based on the context data from the guest introspection agent and deep packet inspection. An identifier of the detected anomalous behavior is stored, in some embodiments. The stored attributes are provided, in some embodiments, to a server for further analysis.

Abstract: A method of collecting health check metrics for a network is provided. The method, at a deep packet inspector on a physical host in a datacenter, receives a copy of a network packet from a load balancer. The packet includes a plurality of layers. Each layer corresponds to a communication protocol in a plurality of communication protocols. The method identifies an application referenced in the packet. The method analyzes the information in one or more layers of the packet to determine metrics for the source application. The method sends the determined metrics to the load balancer.

Abstract: A method of collecting health check metrics for a network is provided. The method, at a deep packet inspector on a physical host in a datacenter, receives a copy of a network packet from a load balancer. The packet includes a plurality of layers. Each layer corresponds to a communication protocol in a plurality of communication protocols. The method identifies an application referenced in the packet. The method analyzes the information in one or more layers of the packet to determine metrics for the source application. The method sends the determined metrics to the load balancer.

Abstract: Some embodiments provide a novel method for collecting and analyzing attributes of data flows associated with machines executing on a plurality of host computers to detect anomalous behavior. In some embodiments, an anomalous behavior is detected for at least one particular flow associated with at least one machine executing on the host computer. In some embodiments, anomaly detection is based on the context data from the guest introspection agent and deep packet inspection. An identifier of the detected anomalous behavior is stored, in some embodiments. The stored attributes are provided, in some embodiments, to a server for further analysis.

Abstract: Some embodiments provide novel methods for processing remote-device data messages in a network based on data-message attributes from a remote device management (RDM) system. For instance, the method of some embodiments identifies a set of RDM attributes associated with a data message, and then performs one or more service operations based on identified RDM attribute set.

Abstract: Some embodiments of the invention introduce cloud template awareness in the service policy framework. Some embodiments provide one or more service rule processing engines that natively support (1) template-specific dynamic groups and template-specific rules, and (2) dynamic security tag concepts. A service rule processing engine of some embodiments natively supports template-specific dynamic groups and rules as it can directly process service rules that are defined in terms of dynamic component groups, template identifiers, template instance identifiers, and/or template match criteria. Examples of such services can include any kind of middlebox services, such as firewalls, load balancers, network address translators, intrusion detection systems, intrusion prevention systems, etc.

Abstract: Some embodiments provide novel methods for processing remote-device data messages in a network based on data-message attributes from a remote device management (RDM) system. For instance, the method of some embodiments identifies a set of RDM attributes associated with a data message, and then performs one or more service operations based on identified RDM attribute set.

Abstract: Some embodiments of the invention introduce cloud template awareness in the service policy framework. Some embodiments provide one or more service rule processing engines that natively support (1) template-specific dynamic groups and template-specific rules, and (2) dynamic security tag concepts. A service rule processing engine of some embodiments natively supports template-specific dynamic groups and rules as it can directly process service rules that are defined in terms of dynamic component groups, template identifiers, template instance identifiers, and/or template match criteria. Examples of such services can include any kind of middlebox services, such as firewalls, load balancers, network address translators, intrusion detection systems, intrusion prevention systems, etc.

Abstract: Some embodiments of the invention introduce cloud template awareness in the service policy framework. Some embodiments provide one or more service rule processing engines that natively support (1) template-specific dynamic groups and template-specific rules, and (2) dynamic security tag concepts. A service rule processing engine of some embodiments natively supports template-specific dynamic groups and rules as it can directly process service rules that are defined in terms of dynamic component groups, template identifiers, template instance identifiers, and/or template match criteria. Examples of such services can include any kind of middlebox services, such as firewalls, load balancers, network address translators, intrusion detection systems, intrusion prevention systems, etc.

Abstract: Some embodiments of the invention introduce cloud template awareness in the service policy framework. Some embodiments provide one or more service rule processing engines that natively support (1) template-specific dynamic groups and template-specific rules, and (2) dynamic security tag concepts. A service rule processing engine of some embodiments natively supports template-specific dynamic groups and rules as it can directly process service rules that are defined in terms of dynamic component groups, template identifiers, template instance identifiers, and/or template match criteria. Examples of such services can include any kind of middlebox services, such as firewalls, load balancers, network address translators, intrusion detection systems, intrusion prevention systems, etc.

Abstract: Some embodiments provide novel methods for processing remote-device data messages in a network based on data-message attributes from a remote device management (RDM) system. For instance, the method of some embodiments identifies a set of RDM attributes associated with a data message, and then performs one or more service operations based on identified RDM attribute set.

Abstract: Some embodiments provide novel methods for processing remote-device data messages in a network based on data-message attributes from a remote device management (RDM) system. For instance, the method of some embodiments identifies a set of RDM attributes associated with a data message, and then performs one or more service operations based on identified RDM attribute set.

Abstract: Some embodiments provide novel methods for processing remote-device data messages in a network based on data-message attributes from a remote device management (RDM) system. For instance, the method of some embodiments identifies a set of RDM attributes associated with a data message, and then performs one or more service operations based on identified RDM attribute set.

Abstract: Some embodiments provide novel methods for processing remote-device data messages in a network based on data-message attributes from a remote device management (RDM) system. For instance, the method of some embodiments identifies a set of RDM attributes associated with a data message, and then performs one or more service operations based on identified RDM attribute set.

Abstract: Some embodiments provide novel methods for processing remote-device data messages in a network based on data-message attributes from a remote device management (RDM) system. For instance, the method of some embodiments identifies a set of RDM attributes associated with a data message, and then performs one or more service operations based on identified RDM attribute set.

Abstract: Some embodiments of the invention introduce cloud template awareness in the service policy framework. Some embodiments provide one or more service rule processing engines that natively support (1) template-specific dynamic groups and template-specific rules, and (2) dynamic security tag concepts. A service rule processing engine of some embodiments natively supports template-specific dynamic groups and rules as it can directly process service rules that are defined in terms of dynamic component groups, template identifiers, template instance identifiers, and/or template match criteria. Examples of such services can include any kind of middlebox services, such as firewalls, load balancers, network address translators, intrusion detection systems, intrusion prevention systems, etc.