SECURE RUNTIME FOR VIRTUAL MACHINES
A computer-implemented method at a data management system comprises: generating, with one or more processors, a containerized runtime in a memory in communication with the one or more processors; instantiating, with the one or more processors, an app in the runtime; receiving, with the one or more processors, a request from the app for data; retrieving, with the one or more processors, a copy of the requested data from a data source; and transmitting, with the one or more processors, the data to the containerized runtime for the app to operate on.
1 . A data management system, comprising:
a server configured to host a virtual machine;
one or more processors in communication with the server, the one or more processors configured to perform operations including:
generating, with the one or more processors, a runtime in a memory in communication with the one or more processors;
instantiating, with the one or more processors, an app in the runtime;
receiving, with the one or more processors, a request from the app for data;
determining, with the one or more processors, a data source having the requested data;
identifying, with the one or more processors, an API to access the data source;
retrieving, with the one or more processors, a copy of the requested data from the data source; and
transmitting, with the one or more processors, the data to the containerized runtime for the app to operate on.
2 . The system of claim 1 , wherein the operations further comprise blocking the app from accessing a network.
3 . The system of claim 1 , wherein the data is a snapshot of the virtual machine.
4 . The system of claim 1 , wherein the operations further include restoring a database to a target location and the app performs queries on the restored database.
5 . The system of claim 1 , wherein the data includes input and output from the virtual machine and the operations further include disabling the virtual machine based on analysis of the input.
6 . The system of claim 1 , wherein the operations further comprise instantiating a second virtual machine and wherein the containerized runtime is within a section of the memory allocated to the second virtual machine.
7 . The system of claim 1 , wherein the app includes a user interface and the operations further comprise generating a user interface to display indexed files.
8 . A computer-implemented method at a data management system, the method comprising:
generating, with one or more processors, a runtime in a memory in communication with the one or more processors;
instantiating, with the one or more processors, an app in the runtime;
receiving, with the one or more processors, a request from the app for data;
determining, with the one or more processors, a data source having the requested data;
identifying, with the one or more processors, an API to access the data source;
retrieving, with the one or more processors, a copy of the requested data from the data source; and
transmitting, with the one or more processors, the data to the containerized runtime for the app to operate on.
9 . The method of claim 8 , further comprising blocking the app from accessing a network.
10 . The method of claim 8 , wherein the data is a snapshot of the virtual machine.
11 . The method of claim 8 , further comprising restoring a database to a target location and the app performs queries on the restored database.
12 . The method of claim 8 , wherein the data includes input and output from the virtual machine and the operations further include disabling the virtual machine based on analysis of the input.
13 . The method of claim 8 , further comprising instantiating a second virtual machine and wherein the containerized runtime is within a section of the memory allocated to the second virtual machine.
14 . The method of claim 8 , wherein the app includes a user interface and the method further comprises generating a user interface to display indexed files.
15 . A non-transitory, machine-readable medium storing instructions which, when read by a data management system, cause the data management system to perform operations comprising, at least:
generating, with one or more processors, a runtime in a memory in communication with the one or more processors;
instantiating, with the one or more processors, an app in the runtime;
receiving, with the one or more processors, a request from the app for data;
determining, with the one or more processors, a data source having the requested data;
identifying, with the one or more processors, an API to access the data source;
retrieving, with the one or more processors, a copy of the requested data from the data source; and
transmitting, with the one or more processors, the data to the containerized runtime for the app to operate on.
16 . The medium of claim 15 , wherein the operations further comprise blocking the app from accessing a network.
17 . The medium of claim 15 , wherein the data is a snapshot of the virtual machine.
18 . The medium of claim 15 , wherein the operations further include restoring a database to a target location and the app performs queries on the restored database.
19 . The medium of claim 15 , wherein the data includes input and output from the virtual machine and the operations further include disabling the virtual machine based on analysis of the input.
20 . The medium of claim 15 , wherein the operations further comprise instantiating a second virtual machine and wherein the containerized runtime is within a section of the memory allocated to the second virtual machine.
21 . The medium of claim 15 , wherein the app includes a user interface and the operations further comprise generating a user interface to display indexed files.