Dynamically scaling control plane for ingress services for large numbers of applications with minimal traffic disruption includes receiving an estimate of a number of applications to be executed by multiple clusters implemented by an orchestrator platform. Each cluster includes multiple containers. The multiple clusters implement a centralized controller that control execution of the applications by the multiple clusters. The centralized controller is sharded into a variable number of controllers that collectively control the estimated number of applications based on the estimate of the number of applications and a pre-determined number of applications that each controller can control. Each controller of the variable number of controllers controls an execution of a respective subset of the applications. In response to a change in the number of applications over time, the number of controllers is modified based on a number of applications to be executed by the multiple clusters at any given time.

Systems, apparatuses, and methods are described for adjusting capacity in a networking environment. A networking system comprising clients, servers, load balancers, and/or other devices may expand and contract network capacity as needed. When expanding network capacity, load balancers may instruct client devices to connect to servers that are part of the expanded network. When network capacity is reduced, a server and/or a load balancer my instruct client devices to close a connection with a first server and establish a connection with a second server. Client devices may seamlessly begin using the connection with a second server without having to wait for a connection timeout with the first server.

Systems, apparatuses, and methods are described for adjusting capacity in a networking environment. A networking system comprising clients, servers, load balancers, and/or other devices may expand and contract network capacity as needed. When expanding network capacity, load balancers may instruct client devices to connect to servers that are part of the expanded network. When network capacity is reduced, a server and/or a load balancer my instruct client devices to close a connection with a first server and establish a connection with a second server. Client devices may seamlessly begin using the connection with a second server without having to wait for a connection timeout with the first server.

Systems and methods are disclosed that evaluate maturity or readiness of services of a cloud infrastructure client instance. Service maturity may be defined based on certain predetermined maturity criteria, which may evaluate certain corresponding service parameters of the service, such as a software component status of a service, a hardware component status of the service, and/or an error status of the service. In some embodiments, the definition of service maturity may be customized by a user. For example, the user may adjust, add, or remove the maturity criteria. The systems and methods may determine the service parameters of the service, and determine the maturity of the service by applying the maturity criteria to the determined service parameters. The service maturity may then be output (e.g., displayed or sent) to the user.

Described herein are systems and methods for application health based network traffic routing in a geographically distributed cloud service. The domain name system (DNS) resolver can receive, from a service executing on one or more servers hosting a resource, a performance score of the resource. The performance score can be computed from a plurality of metrics determined from a performance monitoring service executing on the one or more servers in communication with the resource. The plurality of metrics can include a first set of performance metrics based on simulated client requests and a second set of performance metrics based on an application's own performance factors. The DNS resolver can receive, from a client, a request to resolve a DNS request. The DNS resolver can transmit, by the DNS resolver, a response to the request identifying the one or more servers selected based on the performance score of the resource.

In one embodiment, a secure object transfer system is described. The system features a virtual private cloud network (VPC) and a controller. The VPC includes a plurality of gateways and a network load balancer, which configured to conduct a load balancing scheme on access messages from computing devices deployed within an on-premises network to direct the access memory to one of the plurality of gateways for storage or retrieval of an object from a cloud-based storage element. Each gateway includes Fully Qualified Domain Name (FQDN) filtering logic to restrict access of the computing devices to certain cloud-based storage elements in accordance with a security policy. The controller is configured to maintain and update the security policy utilized by each gateway of the plurality of gateways.

In one embodiment, a secure object transfer system is described. The system features a virtual private cloud network (VPC) and a controller. The VPC includes a plurality of gateways and a network load balancer, which configured to conduct a load balancing scheme on access messages from computing devices deployed within an on-premises network to direct the access memory to one of the plurality of gateways for storage or retrieval of an object from a cloud-based storage element. Each gateway includes Fully Qualified Domain Name (FQDN) filtering logic to restrict access of the computing devices to certain cloud-based storage elements in accordance with a security policy. The controller is configured to maintain and update the security policy utilized by each gateway of the plurality of gateways.

Various embodiments herein described are directed to methods, apparatuses and computer program products configured for managing software product feature and version releases in complex and distributed network systems. Various embodiments are directed to systems and network frameworks that are configured to provide controlled release of software features/changes through admin user notification and control interfaces. In some embodiments, a sandbox system environment may be provided to admin users to test and configure upcoming software features/changes. Additional example embodiments provide a release track system that specifies and manages feature release schedules in a complex and multitenant cloud network environment.

Various embodiments herein described are directed to methods, apparatuses and computer program products configured for managing software product feature and version releases in complex and distributed network systems. Various embodiments are directed to systems and network frameworks that are configured to provide controlled release of software features/changes through admin user notification and control interfaces. In some embodiments, a sandbox system environment may be provided to admin users to test and configure upcoming software features/changes. Additional example embodiments provide a release track system that specifies and manages feature release schedules in a complex and multitenant cloud network environment.

Provided are a computer program product, system, and method for estimating resource requests for workloads to offload to host systems in a computing environment. A calculation is made required resources of computational resources required to complete processing a plurality of unfinished workloads that have not completed. A determination is made of allocated resources that are not yet provisioned to workloads. The required resources are reduced by the allocated resources not yet provisioned to determine resources to provision. The resources to provision for the unfinished workloads are requested.