Abstract: Systems and methods are provided for dynamically optimizing microservice placement in a distributed edge and cloud computing environment, including receiving application specifications that include telemetry data collection methods, placement rules, and modes of operation, validating the received application specifications to ensure completeness and correctness, and composing an application graph where vertices represent microservices and edges represent connections between the microservices. Availability of resources specified in the application graph is checked, and the microservices are deployed according to initial placement rules. Telemetry data from the deployed microservices and underlying infrastructure is collected and evaluated against the placement rules, and the placement of microservices is dynamically adjusted responsive to a determination that current microservice placement is suboptimal based on the evaluating of the collected telemetry data.

Abstract: Systems and methods are provided for deploying applications within a wireless network infrastructure, including initiating, by a centralized control module in a pre-configured hardware unit having a 5G wireless communication module, edge computing device, centralized control module, and data processing module with access to cloud resources, a setup procedure upon receiving a deployment command, the setup procedure including activating the 5G wireless communication module to establish a network connection. User equipment for communication with sensors and cameras is deployed using an edge device through the network connection. Application deployment is managed using a centralized control module including an edge cloud optimizer for allocating resources between an edge computing device and the cloud resources based on real-time analysis of network conditions and application requirements.

Abstract: Systems and methods for scaling in a container orchestration platform are described that include configuring an autoscaler in a control plane of the container orchestration platform to receive stream data from a data exchange system that is measuring stream processing of a pipeline of microservices for an application. The systems and methods further include controlling a number of deployment pods in at least one node of the container orchestration platform to meet requirements for the application provided by the pipeline of microservices.