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Amazon DocumentDB (with MongoDB compatibility) is a fully managed native JSON document database that makes it easy and cost effective to operate critical document workloads at virtually any scale without managing infrastructure. Amazon DocumentDB simplifies your architecture by providing built-in security best practices, continuous backups, and native integrations with other AWS services.

Set up, secure, and scale MongoDB-compatible databases without worrying about running cluster management software, configuring backups, or monitoring production workloads. To learn how, see the Amazon DocumentDB Migration Guide »

The documentation set for this product strives to use bias-free language. For the purposes of this documentation set, bias-free is defined as language that does not imply discrimination based on age, disability, gender, racial identity, ethnic identity, sexual orientation, socioeconomic status, and intersectionality. Exceptions may be present in the documentation due to language that is hardcoded in the user interfaces of the product software, language used based on RFP documentation, or language that is used by a referenced third-party product. Learn more about how Cisco is using Inclusive Language.

Microsoft Purview Data Loss Prevention (DLP) policies can take protective actions to prevent unintentional sharing of sensitive items. When an action is taken on a sensitive item, you can be notified by configuring alerts for DLP. This article shows you how to define rich alert policies that are linked to your data loss prevention (DLP) policies. You'll see how to use thenew DLP alert management dashboard in the Microsoft Purview compliance portal to view alerts, events, and associated metadata for DLP policy violations.

If you're not an E5 customer, you can try all the premium features in Microsoft Purview for free. Use the 90-day Purview solutions trial to explore how robust Purview capabilities can help your organization manage data security and compliance needs. Start now at the Microsoft Purview compliance portal trials hub. Learn details about signing up and trial terms.

Advanced alert configuration options: These options are part of the DLP policy authoring flow. Use them to create rich alert configurations. You can create a single-event alert or an aggregated alert, based on the number of events or the size of the leaked data.

3. In the popup window, click the Remove All button to delete all cache and cookies data. Alternatively, find only the cache and cookie data for the website displaying the error and click Remove.

The .htaccess file has a significant role in controlling page redirects, so an issue with the file can cause problems with site loading. If the .htaccess file contains redirects, it could conflict with a code or database configuration, or addresses could be pointing back to one another.

Become the Next Little Legend! All the tools you need to dominate in Teamfight Tactics. A simple, unintrusive item cheat sheet will seamlessly rest at the bottom left of your screen. If you find yourself in need of more information, the main database window has you covered. From a list of the top team compositions, to detailed champion stats, and an in-depth item builder. And it doesn't end here, over the coming weeks the app aims to evolve into the ultimate companion for TFT by providing crucial, dynamically-generated information based on events of every match.

One of the most obvious examples of a daemon is the Hypertext Transfer Protocol daemon (HTTPd), which runs on every web server, continually waiting in dormant mode until requests come in from web clients and their users. Earlier versions of HTTP daemons would spawn a new process to handle each request. The new process, a replica of the daemon, would fetch the requested content and return it to the requesting client. Then, the new process would die. By spawning a new process, the original process could go back to dormant mode to wait for other requests. This approach was used to prevent the original process from getting too busy to service new requests, as a daemon that handles all requests by itself would make a system more vulnerable to hackers. Denial-of-service attacks are often based on the strategy of keeping a daemon too busy to handle incoming requests.

A third approach is exemplified by the Nginx HTTP daemon, which is based on an event-driven architecture operating in a single thread. Requests are handed off to worker processes, which constantly run in the background -- that is, they aren't spawned just to handle a request only to die off immediately afterward. The administrator determines how many worker processes to create.

The servicer must use a Property Inspection Report (Form 30) or its own form that provides equivalent information to document the property inspection. When a property inspection is required every calendar month, the property inspections must occur between 20 and 35 days apart. However, the servicer must complete more frequent property inspections when necessary (for example, when required by local ordinance or based on property condition). If extenuating circumstances cause inspection delays, the servicer must document efforts to conduct timely inspection and the reason for any exception in the mortgage loan file.

The ACH Debit method allows you to transfer funds by instructing the state to electronically debit a bank account you control for the amount that you report to the state's data collector. Your account will be debited only upon your initiation and for the amount you specify.

Within the world of robotics and automation one of the most recurring needs is that of capturing and visualizing real-time data from hardware components such as sensors and actuators, which provide insights into how a system is behaving overall and helps diagnose any potential issues that might arise overtime.

Historically, it has required quite a bit of custom development effort with complex tooling to be able to stream such data onto dashboards within typical analytics and visualization tools, including Grafana. But with the release of Grafana 8.0, it has become much easier to be able to stream and visualize real-time data using the new streaming API that was introduced as part of the Grafana Live feature.

MQTT is a light-weight publish-subscribe network protocol that is typically used for messaging between devices over TCP/IP. Originally developed by IBM, the MQTT protocol has gained widespread use for machine-to-machine communication in bandwidth-constrained environments where compact data transport is a strict requirement.

Grafana Live is an integrated real-time messaging engine built into Grafana that was introduced as part of the v8.0 release. It is based on a publish-subscribe framework which communicates over the WebSocket protocol and allows any type of event data to be pushed to the frontend client(s) as soon as it occurs.

In order to demonstrate an applicable real-life scenario we used a simple IMU-based attitude sensing board and connected it to a Raspberry Pi to stream both the accelerometer and gyroscope data over MQTT.

The sensing board is based off of a very widely used, versatile, and off-the-shelf IMU, BMI160 from Bosch Sensortec. It is a compact, low-power, low-noise 6DOF IMU that is typically found in smartphones and wearable devices. The sensor board was connected to a Raspberry Pi over its I²C interface, and we used a Python script to extract and periodically publish the sensor data to a Mosquitto MQTT broker, both running locally on the Pi.

In order to fetch the streaming sensor data into a Grafana instance on a separate machine, we installed and used the Grafana MQTT Datasource plugin on that machine. (For details on the installation procedure for the MQTT Datasource plugin refer to the README in the GitHub repository.) The plugin uses an integrated MQTT client to subscribe to MQTT topics and the Grafana Live streaming API to publish them to the event stream in the Grafana Live engine. The datasource was configured to connect to the Mosquitto MQTT broker running locally on the Pi.

For our dashboard, we used the time-series panel, which was previewed in the v7.4 release, to visualize the accelerometer and gyroscope data for all the axes separately. And we used the newly released timeline panel to detect movements on either of the three axes. These visualizations can be very useful in systems where anomalies and imbalances manifest themselves with excessive movements or rotations around a certain axis. Furthermore, these kinds of dashboards can be very critical in maintaining oversight over dynamic systems which have sophisticated attitude control mechanisms in place to maintain stability and functionality.

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There are various technologies, including one called "cookies", which can be used to provide you with tailored information from a Web site. A cookie is an element of data that a Web site can send to your browser, which may then store it on your system.

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This SOFTWARE is provided "as is" without representations or warranties of any kind, whether expressed or implied. The USER must assume the entire risk of using the SOFTWARE, and MPS shall have no liability to the USER or any other third-party for any damages whatsoever, including, but not limited to, any economic or data loss, even if such loss was foreseeable by MPS. Any violation of the intellectual property rights of any party as a result of the use of the SOFTWARE is explicitly against the terms of this LICENSE, and MPS disclaims any liability for the use of the SOFTWARE in this way as unauthorized and outside the scope of any warranty or agreement between the USER and MPS. 2b1af7f3a8