Abstract: Some embodiments provide a novel method for deploying containerized applications. The method of some embodiments deploys a data collecting agent on a machine that operates on a host computer and executes a set of one or more workload applications. From this agent, the method receives data regarding consumption of a set of resources allocated to the machine by the set of workload applications. The method assesses excess capacity of the set of resources for use to execute a set of one or more containers, and then deploys the set of one or more containers on the machine to execute one or more containerized applications. In some embodiments, the set of workload applications are legacy workloads deployed on the machine before the installation of the data collecting agent. By deploying one or more containers on the machine, the method of some embodiments maximizes the usages of the machine, which was previously deployed to execute legacy non-containerized workloads.

Abstract: Some embodiments provide a novel method for deploying containerized applications. The method of some embodiments deploys a data collecting agent on a machine that operates on a host computer and executes a set of one or more workload applications. From this agent, the method receives data regarding consumption of a set of resources allocated to the machine by the set of workload applications. The method assesses excess capacity of the set of resources for use to execute a set of one or more containers, and then deploys the set of one or more containers on the machine to execute one or more containerized applications. In some embodiments, the set of workload applications are legacy workloads deployed on the machine before the installation of the data collecting agent. By deploying one or more containers on the machine, the method of some embodiments maximizes the usages of the machine, which was previously deployed to execute legacy non-containerized workloads.

Abstract: Some embodiments provide a local network controller that manages a first managed forwarding element (MFE) operating to forward traffic on a host machine for several logical networks and configures the first MFE to forward traffic for a set of containers operating within a container virtual machine (VM) that connects to the first MFE. The local network controller receives, from a centralized network controller, logical network configuration information for a logical network to which the set of containers logically connect. The local network controller receives, from the container VM, a mapping of a tag value used by a second MFE operating on the container VM to a logical forwarding element of the logical network to which the set of containers connect. The local network controller configures the first MFE to apply the logical network configuration information to data messages received from the container VM that are tagged with the tag value.

Abstract: Some embodiments provide a local network controller that manages a first managed forwarding element (MFE) operating to forward traffic on a host machine for several logical networks and configures the first MFE to forward traffic for a set of containers operating within a container virtual machine (VM) that connects to the first MFE. The local network controller receives, from a centralized network controller, logical network configuration information for a logical network to which the set of containers logically connect. The local network controller receives, from the container VM, a mapping of a tag value used by a second MFE operating on the container VM to a logical forwarding element of the logical network to which the set of containers connect. The local network controller configures the first MFE to apply the logical network configuration information to data messages received from the container VM that are tagged with the tag value.

Abstract: A method includes determining a capacity model that configures computing resource capacity for a capacity container. The method also includes estimating an available capacity in a capacity container based on a capacity of host devices in the capacity container. The method also includes generating, based on a selection of a visualization method, a visualization of a trend curve and a forecast curve, the trend curve representing historical capacity usage of the host devices. Implementations may include selecting an average virtual machine unit display or a raw units display and determining an average virtual machine based on averaging an attribute of one or more virtual machines.

Abstract: Some embodiments provide a novel method for deploying containerized applications. The method of some embodiments deploys a data collecting agent on a machine that operates on a host computer and executes a set of one or more workload applications. From this agent, the method receives data regarding consumption of a set of resources allocated to the machine by the set of workload applications. The method assesses excess capacity of the set of resources for use to execute a set of one or more containers, and then deploys the set of one or more containers on the machine to execute one or more containerized applications. In some embodiments, the set of workload applications are legacy workloads deployed on the machine before the installation of the data collecting agent. By deploying one or more containers on the machine, the method of some embodiments maximizes the usages of the machine, which was previously deployed to execute legacy non-containerized workloads.

Abstract: Some embodiments provide a novel method for deploying containerized applications. The method of some embodiments deploys a data collecting agent on a machine that operates on a host computer and executes a set of one or more workload applications. From this agent, the method receives data regarding consumption of a set of resources allocated to the machine by the set of workload applications. The method assesses excess capacity of the set of resources for use to execute a set of one or more containers, and then deploys the set of one or more containers on the machine to execute one or more containerized applications. In some embodiments, the set of workload applications are legacy workloads deployed on the machine before the installation of the data collecting agent. By deploying one or more containers on the machine, the method of some embodiments maximizes the usages of the machine, which was previously deployed to execute legacy non-containerized workloads.

Abstract: Some embodiments provide a local network controller that manages a first managed forwarding element (MFE) operating to forward traffic on a host machine for several logical networks and configures the first MFE to forward traffic for a set of containers operating within a container virtual machine (VM) that connects to the first MFE. The local network controller receives, from a centralized network controller, logical network configuration information for a logical network to which the set of containers logically connect. The local network controller receives, from the container VM, a mapping of a tag value used by a second MFE operating on the container VM to a logical forwarding element of the logical network to which the set of containers connect. The local network controller configures the first MFE to apply the logical network configuration information to data messages received from the container VM that are tagged with the tag value.

Abstract: Some embodiments provide a local network controller that manages a first managed forwarding element (MFE) operating to forward traffic on a host machine for several logical networks and configures the first MFE to forward traffic for a set of containers operating within a container virtual machine (VM) that connects to the first MFE. The local network controller receives, from a centralized network controller, logical network configuration information for a logical network to which the set of containers logically connect. The local network controller receives, from the container VM, a mapping of a tag value used by a second MFE operating on the container VM to a logical forwarding element of the logical network to which the set of containers connect. The local network controller configures the first MFE to apply the logical network configuration information to data messages received from the container VM that are tagged with the tag value.

Abstract: Some embodiments provide a system that implements a set of tools to define a set of one or more logical forwarding elements from a number of physical forwarding elements and a scalable framework to retrieve statistics relating each logical forwarding element. In some embodiments, the statistics relate to the logical ports of a logical forwarding element. The system of some embodiments allows a network administrator to retrieve a total packet count and byte count for one or more logical ports of the logical forwarding element, even though the logical ports may be distributed across multiple physical forwarding elements.

Abstract: Some embodiments provide a system that implements a set of tools to define a set of one or more logical forwarding elements from a number of physical forwarding elements and a scalable framework to retrieve statistics relating each logical forwarding element. In some embodiments, the statistics relate to the logical ports of a logical forwarding element. The system of some embodiments allows a network administrator to retrieve a total packet count and byte count for one or more logical ports of the logical forwarding element, even though the logical ports may be distributed across multiple physical forwarding elements.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a local network controller that manages a first managed forwarding element (MFE) operating to forward traffic on a host machine for several logical networks and configures the first MFE to forward traffic for a set of containers operating within a container virtual machine (VM) that connects to the first MFE. The local network controller receives, from a centralized network controller, logical network configuration information for a logical network to which the set of containers logically connect. The local network controller receives, from the container VM, a mapping of a tag value used by a second MFE operating on the container VM to a logical forwarding element of the logical network to which the set of containers connect. The local network controller configures the first MFE to apply the logical network configuration information to data messages received from the container VM that are tagged with the tag value.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a local network controller that manages a first managed forwarding element (MFE) operating to forward traffic on a host machine for several logical networks and configures the first MFE to forward traffic for a set of containers operating within a container virtual machine (VM) that connects to the first MFE. The local network controller receives, from a centralized network controller, logical network configuration information for a logical network to which the set of containers logically connect. The local network controller receives, from the container VM, a mapping of a tag value used by a second MFE operating on the container VM to a logical forwarding element of the logical network to which the set of containers connect. The local network controller configures the first MFE to apply the logical network configuration information to data messages received from the container VM that are tagged with the tag value.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: A method includes determining a capacity model that configures computing resource capacity for a capacity container. The method also includes estimating an available capacity in a capacity container based on a capacity of host devices in the capacity container. The method also includes generating, based on a selection of a visualization method, a visualization of a trend curve and a forecast curve, the trend curve representing historical capacity usage of the host devices. Implementations may include selecting an average virtual machine unit display or a raw units display and determining an average virtual machine based on averaging an attribute of one or more virtual machines.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: Some embodiments provide a statistics collection framework that is used to aggregate statistic for interfaces such as logical ports and logical port pairs. Flows that are related with these interfaces are tagged with the identifier of the logical entities for which statistics are being collected. The interface statistics is periodically sent in the background to a statistics aggregator. The read queries for the interface statistics are directed to the statistics aggregator. The statistics aggregator, therefore, acts as a cumulative cache for the interface statistics.

Abstract: A method includes determining a capacity model that configures computing resource capacity for a capacity container. The computing resource capacity includes a first storage attribute for an amount of storage in a storage component. A load model is determined that configures load for the capacity container. The load includes a second storage attribute for a storage requirement for a virtual machine. A profile of a virtual machine unit is determined for estimating available capacity in a capacity container. The profile is determined using virtual machine attributes for a set of virtual machines, wherein the virtual machine unit includes a storage requirement based on requirements for the set of virtual machines. The profile of the virtual machine unit is fit into available capacity. A number of virtual machine units is determined based on the fitting, the number of virtual machine units being a measure of available capacity.