Abstract: An aspect includes generating instrumentation data for software that is executing on a computer and writing the instrumentation data to a memory located on the computer. An analytics application is provided with access to the instrumentation data. The writing the instrumentation data and the providing access are performed in real-time with respect to the generating. A request is received from the analytics application for at least a subset of the instrumentation data. Based on receiving the request, at least a subset of the instrumentation data is transmitted to the analytics application. A portion of the instrumentation data is migrated on a periodic basis to a non-volatile memory device that is external to the computer.

Abstract: Examples of techniques for detecting harmful applications prior to installation on a user device are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes: analyzing, by a processing device, a plurality of reviews for each version of a plurality of versions of an application to determine, based on each of the plurality of reviews, whether each version of the plurality of versions is harmful; and responsive to determining that a particular version of the plurality of versions is harmful, preventing a user from installing the particular version.

Abstract: An aspect includes generating instrumentation data for software that is executing on a computer and writing the instrumentation data to a memory located on the computer. An analytics application is provided with access to the instrumentation data. The writing the instrumentation data and the providing access are performed in real-time with respect to the generating. A request is received from the analytics application for at least a subset of the instrumentation data. Based on receiving the request, at least a subset of the instrumentation data is transmitted to the analytics application. A portion of the instrumentation data is migrated on a periodic basis to a non-volatile memory device that is external to the computer.

Abstract: An aspect includes generating instrumentation data for software that is executing on a computer and writing the instrumentation data to a memory located on the computer. An analytics application is provided with access to the instrumentation data. The writing the instrumentation data and the providing access are performed in real-time with respect to the generating. A request is received from the analytics application for at least a subset of the instrumentation data. Based on receiving the request, at least a subset of the instrumentation data is transmitted to the analytics application. A portion of the instrumentation data is migrated on a periodic basis to a non-volatile memory device that is external to the computer.

Abstract: An aspect includes generating instrumentation data for software that is executing on a computer and writing the instrumentation data to a memory located on the computer. An analytics application is provided with access to the instrumentation data. The writing the instrumentation data and the providing access are performed in real-time with respect to the generating. A request is received from the analytics application for at least a subset of the instrumentation data. Based on receiving the request, at least a subset of the instrumentation data is transmitted to the analytics application. A portion of the instrumentation data is migrated on a periodic basis to a non-volatile memory device that is external to the computer.

Abstract: Examples of techniques for detecting harmful applications prior to installation on a user device are disclosed. In one example implementation according to aspects of the present disclosure, a computer-implemented method includes: analyzing, by a processing device, a plurality of reviews for each version of a plurality of versions of an application to determine, based on each of the plurality of reviews, whether each version of the plurality of versions is harmful; and responsive to determining that a particular version of the plurality of versions is harmful, preventing a user from installing the particular version.

Abstract: Embodiments of the disclosure relate to controlling access to a mobile device with a paired device. Aspects include pairing the paired device with the mobile device and defining a security profile for the mobile device. Aspects also include receiving a user access request for a desired action via the mobile device and determining signal strength between the paired device and the mobile device. Aspects further include executing the desired action based on a determination that the signal strength is greater than a threshold in the security profile for the desired action.

Abstract: Embodiments of the disclosure relate to controlling access to a mobile device with a paired device. Aspects include pairing the paired device with the mobile device and defining a security profile for the mobile device. Aspects also include receiving a user access request for a desired action via the mobile device and determining signal strength between the paired device and the mobile device. Aspects further include executing the desired action based on a determination that the signal strength is greater than a threshold in the security profile for the desired action.