Abstract: Techniques are disclosed relating to deploying application containers. A computer system may receive a request to deploy an application container onto resources of a target environment such that program code of the application container is executed. The deployment of the application container may be carried out in a mode in which the computer system does not allocate resources for the application container. The computer system may receive a request to deploy a placeholder container in the target environment. The deployment of the placeholder container may be carried out in a different mode in which the computer system allocates resources for the placeholder container. The computer system may cause an allocation of additional resources to the target environment on which to execute program code of the placeholder container. In response to the additional resources being allocated, the computer system may deploy the application container onto the additional resources for execution.

Abstract: Embodiments of the present disclosure provide a query paradigm that enables named function chaining and nesting to create complex query structures for advanced data analytics. Initially, a REST request uniform resource identifier (URI) is received from a REST client or Hypertext Transfer Protocol (HTTP) client at a REST API. The REST query URI comprises a syntax of functions with named parameters as URI path segments over a HTTP GET call and forms a function tree. The REST request URI is communicated to a request parser that converts the REST request URI into a backend query. The backend query normalizes the function tree into a normalized tree in accordance with a structure of a target of the REST request URI. The backend query is utilized to query data form the target of the REST request URI. Data responsive to the backend query is provided to the REST client or HTTP client.