Disclosed herein is a computing system. The computing system includes a memory and a processor. The memory stores processor executable instructions for a workflow recommendation assistant engine. The processor is coupled to the memory. The processor executes the workflow recommendation assistant engine to cause the computing device to analyze images of a user interface corresponding to user activity, execute a pattern matching of the images with respect to existing automations, and provide a prompt indicating that an existing automation matches the user activity.

In a computer-implemented method for automatically presenting a visualization of information within a terminal for interfacing with a distributed version control system, an input is received at a command line interface of a terminal for interfacing with a distributed version control system, the input including an operation to be performed by the distributed version control system. The operation to be performed by the distributed version control system is identified based on the input. The operation is executed to generate output of the operation. The output is displayed within the command line interface. A graphical visualization of the output is automatically displayed within a visualization pane of the terminal, wherein the graphical visualization is interactive.

Methods and systems for controlling loosely-coupled services automatically, comprising instructing a Graphical User Interface (GUI) to present one or more configuration parameters for a command menu listing a plurality of commands corresponding to a plurality of actions for controlling one or more loosely-coupled services, for example, a microservice, a micro-frontend and/or the like of a cloud service facilitated by a container execution system, analyzing one or more commands inserted by the user(s) to determine one or more of the plurality of actions corresponding to the inserted command, and communicating with the container execution system via one or more networks to instruct automatic execution of the corresponding action(s) with respect to the one or more loosely-coupled services deployed as containers in the container execution system.

In one example described herein a system can intercept, using a webhook, a container command issued to a user interface of a container orchestration platform. In response to intercepting the container command, the system can determine that the container command violates a security policy. In response to determining that the container command violates the security policy, the system can prevent the container command from being executed in relation to a container of the container orchestration platform.

Methods and systems are described for provisioning cloud-based database systems and performing decoupled maintenance. For example, conventional systems may rely on database management systems to provision and modify databases hosted by a service provider. However, for entities operating complex database systems with the need for highly customized cloud infrastructure, database management systems fail to provide the granular customization and the control necessary to create and service these systems. In contrast, the described solutions provide an improvement over conventional database management system architecture by providing direct communication between an entity and its cloud-based database systems via command line prompts or API calls, decoupling database system maintenance from database system provisioning process to increase the speed and granular customization of the database system. Moreover, the disclosed solution leverages machine learning to predict optimal database system provisioning and maintenance processes and resources.

Apparatus and methods may include a method for enabling customized jobs deployment in Autosys™, reviewing of execution results of the jobs in Autosys™, and querying the execution results. The method may include providing a verification of the deployment of a plurality of job scripts in a staging area. The staging area may be configured for arranging and deploying a plurality of job scripts in Autosys™. The method may include visually indicating, in a status line, whether each of the plurality of job scripts has been deployed in Autosys™ or is set to be deployed to, and executed in, Autosys™. The method may include importing selected contents of a log folder from Autosys™. The importing may use an import utility.

A method includes deploying a containerized execution environment on a cluster of virtual machines and performing a snapshot on each virtual machine in the cluster of virtual machines to save a first version of the containerized execution environment on the cluster. The method further includes performing a test on the containerized execution environment and reverting each virtual machine of the cluster of virtual machines to the first version of the cluster saved by the snapshot in view of the test.

A computing device can intercept a request to launch a requested application. The request can be intercepted by a calling process executed by the computing device. The request can include information identifying the requested application. The computing device can determine that a user interaction is required before launching the requested application by consulting a set of application policies based on the information identifying the requested application. The computing device can establish that the calling process is associated with a controlling terminal provided by an operating system in response to determining that the user interaction is required. A process session group containing processes launched within a user session can be selectively associated with the controlling terminal by the operating system. The computing device can perform the user interaction using the controlling terminal in response to establishing that the calling process is associated with the controlling terminal.

Systems and methods for interfacing with a third-party website. In one embodiment, a computer system is configured to directly interface with a website via a webpage to change certain numerical values through the use of digital codes. The digital codes are applied to a data entry interface on the webpage, and the responses are monitored and transmitted back to a server system.

A method by one or more electronic devices to provision an infrastructure for a machine learning application in a multi-tenant on-demand serving infrastructure. The method includes storing a plurality of templates, wherein each of the plurality of templates indicates a scoring interface, a web server, a definition of a continuous integration pipeline, and a definition of a continuous deployment pipeline, receiving a request to provision the infrastructure for the machine learning application using a specified template from the plurality of templates, and provisioning the infrastructure for the machine learning application using the specified template to create a version control system repository, a continuous integration pipeline, and a continuous deployment pipeline.