Abstract:
The present disclosure is related to methods, systems, and machine-readable media for information technology (IT) cost calculation in a software defined data center. A cost of infrastructure IT objects in a software defined data center can be calculated. The infrastructure IT objects can be mapped to an IT service construct over time, during runtime of the infrastructure IT objects. A portion of the cost of the infrastructure IT objects can be allocated to the IT service construct according to the map. A non-infrastructure IT cost can be allocated to the IT service construct. A total cost of the IT service construct can be calculated based on the allocations.
Abstract:
Methods and systems that automate a DevOps deployment pipeline and optimize DevOps cost are described. Methods generate a deployment pipeline model based on policies associated with each deployment stage and task. Methods optimize cost of the deployment pipeline model based on model combinations of VMs. The deployment pipeline model may be executed on a cloud computing infrastructure in order to develop an application program.
Abstract:
The disclosure presents methods and systems for determining cost allocation for logical containers run on a data-center infrastructure. In one aspect, for each resource allocated to one or more logical containers, a method calculates a resource allocation value for each of the one or more logical containers, the resource allocation value represents an amount of the resource allocated to the logical container. An allocated container cost is then calculated for each of the one or more logical containers based on the resource allocation value of each logical container. A cost of unused portions of the resource for each of the one or more logical containers is calculated based on the allocated container cost and the resource allocation value associated with each logical container. The resource allocation value, the allocated container cost, and the cost of unused portion of the resource are stored in one or more data-storage devices.
Abstract:
Some embodiments provide a method for distributing a service rule that is to be enforced across a first set of sites and that is defined by reference to a group identifier that identifies a group of machines. The method distributes the service rule to each site in the first set of sites. The method identifies at least one site in the first set of sites that is not in a second set of sites that has already received a definition of the group. The method distributes the group definition to each identified site in the first set of sites that has not already received the definition of the group.
Abstract:
Some embodiments provide a method for a computing device that implements a first logical network gateway in a first datacenter to process data messages between data compute nodes (DCNs) belonging to the logical network and operating in the first datacenter and DCNs belonging to the logical network and operating in a second datacenter. From a host computer in the first datacenter, the method receives a logical network data message encapsulated with a first tunnel header including a first virtual network identifier corresponding to a logical forwarding element of the logical network. The method removes the first tunnel header and encapsulates the logical network data message with a second tunnel header include a second virtual network identifier corresponding to the logical forwarding element. The method transmits the logical network data message encapsulated with the second tunnel header to a second logical network gateway in the second datacenter.
Abstract:
Some embodiments provide a method for a global manager that manages a logical network configuration for multiple datacenters that each have a local manager for managing the logical network configuration within the datacenter. Based on detecting that a connection to a particular local manager of a particular datacenter has been restored after a period of unavailability, the method identifies a portion of the logical network configuration that is relevant to the particular datacenter. In a series of transactions, the method transfers the identified portion of the logical network configuration to the particular local manager. During the series of transactions, the method identifies modifications to the identified portion of the logical network configuration to be included in the series of transactions. Upon completion of the series of transactions, the method transfers a notification to the particular local manager indicating completion of the series of transactions.
Abstract:
Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with guest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers.
Abstract:
Some embodiments provide a method for a computing device that implements a first logical network gateway in a first datacenter to process data messages between data compute nodes (DCNs) belonging to the logical network and operating in the first datacenter and DCNs belonging to the logical network and operating in a second datacenter. From a host computer in the first datacenter, the method receives a logical network data message encapsulated with a first tunnel header including a first virtual network identifier corresponding to a logical forwarding element of the logical network. The method removes the first tunnel header and encapsulates the logical network data message with a second tunnel header include a second virtual network identifier corresponding to the logical forwarding element. The method transmits the logical network data message encapsulated with the second tunnel header to a second logical network gateway in the second datacenter.
Abstract:
Systems and techniques are described for generating test cases. In one example, a manual test of code is performed. The manual test uses proxy code to detect at least one input to the code and a data transfer between the code and other code. The data transfer includes an input to the other code and an output from the other code. A file is generated that includes the at least one input to the code, the input to the other code, the output from the other code, and data that specifies that the manual test of the code resulted in an expected output. A mock test automates the manual test of the code based at least in part on the file.
Abstract:
Methods and systems assist data center customer to plan virtual data center (“VDC”) configurations, create purchase recommendations to achieve either an expansion or contraction of a VDC, and optimize the data center cost. Methods generate recommendations on lower cost combinations of virtual machine (“VM”) guest OS licenses, server computer hardware and VM software to optimize the costs are generated, generate data center customer plans for additional VMs with guest OS for a projected period of time, provide recommendations on lower cost combination of guest OS licenses, server hardware, and VM software to optimize the cost. Methods also report any underutilized licensed servers and provide recommendations for cost savings when volume licenses can be replaced by instance based software licenses. Methods may generate VM placement recommendations to data center customers while the customers attempt to manually migrate VMs to different server computers.