Abstract: Implementations of the disclosure provide for controlling capacity in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system. A method includes obtaining, by a resource control module executed by a processing device, an active capacity metric of each node in a multi-tenant Platform-as-a-Service (PaaS) system, the active capacity metric determined in view of a number of containers that are currently executing in the node and a maximum number of active containers allowed to execute in the node, comparing, by the resource control module, the active capacity metric of the each node to an active capacity threshold associated with the each node, and when the active capacity metric exceeds the active capacity threshold in all of the nodes in a district of the multi-tenant PaaS system and when a maximum actual capacity of containers in the district is not exceeded, adding a new node to the district.

Abstract: A multi-tier platform-as-a-service (PaaS) deployment reduced to a single-tier architecture for development is disclosed. A method of the disclosure includes mapping multiple tiers of a PaaS system to a consolidated environment executable on a virtual machine (VM), wherein networking stacks of the VM maintain a separation between the multiple tiers in the consolidated environment, and providing the consolidated environment as a development instance of the PaaS system for execution on the VM, the consolidated environment facilitating testing of code changes to the PaaS system.

Abstract: A mechanism for application partitioning in a multi-tenant PaaS environment in a cloud computing system is disclosed. A method of embodiments includes receiving, by a virtual machine (VM), a request to initialize a container on the VM, the container comprising a resource-constrained space of the VM to execute functionality of an application of a multi-tenant PaaS system. The method also includes assigning a user identification (UID) and non-volatile resources to the container, wherein the UID and non-volatile resources are part of a subset of UIDs and a subset of non-volatile resources allotted to the VM from a range of UIDs and a range of non-volatile resources associated with a district of the VM, and wherein other VMs in the district are not allotted the same subset of UIDs from the range of UIDs or the same subset of non-volatile resources from the range of non-volatile resources.

Abstract: Implementations of the disclosure provide for controlling capacity in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system. A method includes obtaining, by a resource control module executed by a processing device, an active capacity metric of each node in a multi-tenant Platform-as-a-Service (PaaS) system, the active capacity metric determined in view of a number of containers that are currently executing in the node and a maximum number of active containers allowed to execute in the node, comparing, by the resource control module, the active capacity metric of the each node to an active capacity threshold associated with the each node, and when the active capacity metric exceeds the active capacity threshold in all of the nodes in a district of the multi-tenant PaaS system and when a maximum actual capacity of containers in the district is not exceeded, adding a new node to the district.

Abstract: A mechanism for controlling capacity in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system is disclosed. A method includes detecting, by a resource control module, an occurrence of a trigger event for capacity analysis of virtual machines (VMs) in a multi-tenant PaaS system, obtaining an active capacity metric of each of the VMs, the active capacity metric comprising a result of dividing a number of containers that are currently executing in the VM by a maximum number of active containers allowed to execute in the VM, comparing the active capacity metric of each VM to an active capacity threshold of each VM, when the active capacity metric exceeds the active capacity threshold in all of the VMs in a district of the multi-tenant PaaS system and when a maximum actual capacity of containers in the district is not exceeded, adding a new VM to the district.

Abstract: A mechanism for controlling utilization in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system is disclosed. A method includes obtaining, by a resource control module executing on a computing device, an active capacity metric of each virtual machine (VM) of a plurality of VMs in a district of a multi-tenant PaaS system, the active capacity metric comprising a result of dividing a number of containers that are currently executing in the VM by a maximum number of active containers allowed to execute in the VM, determining that the active capacity metric of a source VM in the district exceeds an active capacity threshold associated with the source VM, and migrating at least one of the containers of the source VM to a target VM in the district, wherein the target VM is operating with an active capacity metric below the active capacity threshold associated with the target VM.

Abstract: A multi-tier platform-as-a-service (PaaS) deployment reduced to a single-tier architecture for development is disclosed. A method of the disclosure includes mapping multiple tiers of a PaaS system to a consolidated environment executable on a virtual machine (VM), wherein networking stacks of the VM maintain a separation between the multiple tiers in the consolidated environment, and providing the consolidated environment as a development instance of the PaaS system for execution on the VM, the consolidated environment facilitating testing of code changes to the PaaS system.

Abstract: A mechanism for application partitioning in a multi-tenant PaaS environment in a cloud computing system is disclosed. A method of embodiments includes receiving, by a virtual machine (VM), a request to initialize a container on the VM, the container comprising a resource-constrained space of the VM to execute functionality of an application of a multi-tenant PaaS system. The method also includes assigning a user identification (UID) and non-volatile resources to the container, wherein the UID and non-volatile resources are part of a subset of UIDs and a subset of non-volatile resources allotted to the VM from a range of UIDs and a range of non-volatile resources associated with a district of the VM, and wherein other VMs in the district are not allotted the same subset of UIDs from the range of UIDs or the same subset of non-volatile resources from the range of non-volatile resources.

Abstract: A mechanism for controlling capacity in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system is disclosed. A method includes detecting, by a resource control module, an occurrence of a trigger event for capacity analysis of virtual machines (VMs) in a multi-tenant PaaS system, obtaining an active capacity metric of each of the VMs, the active capacity metric comprising a result of dividing a number of containers that are currently executing in the VM by a maximum number of active containers allowed to execute in the VM, comparing the active capacity metric of each VM to an active capacity threshold of each VM, when the active capacity metric exceeds the active capacity threshold in all of the VMs in a district of the multi-tenant PaaS system and when a maximum actual capacity of containers in the district is not exceeded, adding a new VM to the district.

Abstract: A mechanism for controlling utilization in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system is disclosed. A method includes obtaining, by a resource control module executing on a computing device, an active capacity metric of each virtual machine (VM) of a plurality of VMs in a district of a multi-tenant PaaS system, the active capacity metric comprising a result of dividing a number of containers that are currently executing in the VM by a maximum number of active containers allowed to execute in the VM, determining that the active capacity metric of a source VM in the district exceeds an active capacity threshold associated with the source VM, and migrating at least one of the containers of the source VM to a target VM in the district, wherein the target VM is operating with an active capacity metric below the active capacity threshold associated with the target VM.

Abstract: A class loader locates, at run time, a requested code component. The code component is preferably stored on a database, rather than in a file system, to improve its accessibility in a network computing environment. Code components are preferably stored in the database using an organizational structure that reflects a code isolation structure. In this manner, different versions of a particular code component can be retrieved in a transparent, automated manner, depending on information associated with the invocation thereof.