Hi, have the same issue since this morning (24.10). It started with error messages (red boxes which told me to try later again due to connection problems). An hour later, the error messages dissapeard but since then, I`ve almost senseless values in the dashboard (dont match to each other, etc) and are definitively NOT updated in realtime or even in less than a minute (propably much longer)
The issue is probably related to some topics subscribe status. I was experimenting with MQTT explorer to integrate cerbo and zabbix and something got stucked here ... I enabled MQTT lan later on and dashboard is still updating correctly ...
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For instance, I have a saved search that produces a timechart. When I run it over 7 days, I get all of the results I would expect to get, with the proper values. However, when this same search is the basis for a chart on a dashboard, I might only get the first bar drawn, and the others are missing. Or I might get a "No results found. Inspect..." bar instead of the chart I want, but when I inspect it and run the search that is highlighted as not having returned any data over the time range from the search bar, I get the numbers I expect.
My suggestion: Slowly pull out/remove individual searches (especially if they are accelerated or have data models) and pinpoint where the source of the problem occurs. It should not be hard to remove/disable a search from the dashboard. Also, keep an eye on the cpu/search processes in the OS to see how many are being run in the background (ps -ef | grep splunk). You might find that something else is actually preventing the dashboard from completing, such as many realtime searches or background searches.
There will be a search.log that pertains to the job id that was run for your searches. You can find the job directory name by the timestamp of when the search ran in addition to using the job manager. All jobs get stored in the $SPLUNK_HOME/var/run/dispatch directory (IIRC). Within that directory there will be timing information within the search.log file (IIRC). An easier alternative would be to open a terminal window and actively run "ps -ef | grep splunk" a few times before, during, and after you launch the dashboard. This will tell you which searches are started before, during, and after.
Dashboards are made up of easy-to-configure widgets, the building blocks for dashboards, that display the live data from your sheets and reports. Dashboards can be shared with anyone, including teammates, executives, and even external customers, and are easily viewed on the desktop or the Smartsheet mobile app.
This advanced CTV reporting makes IAS Signal an even more powerful platform for advertisers, delivering the most critical data and insights to easily manage their digital campaigns, with plans to expand these capabilities globally this year. Additionally, IAS is enhancing CTV reporting capabilities for publishers by rolling out access to metrics across invalid traffic and video completion rates for their media within IAS Signal, currently available in beta. IAS also plans to launch content level brand safety and suitability that provides advertisers with even greater control of their CTV campaigns.
ART's vibro-tactile Fingertracking allows the integration of the hands of 1-2 persons acting in virtual simulations, with a millimeter accuracy of the finger movement. Also, additional objects (e.g., steering wheel, dashboard, rearview mirror) can be determined and animated with the same accuracy. The vibro-tactile feedback enables the user to feel the vibration at his/her fingertips when touching objects in the virtual world. The system can be used for ergonomics analysis, maintenance simulations, buildability analysis and other applications that require the interaction of a hand with objects in the virtual space.
With a single click, turn any query into an analytics-driven chart in a dashboard, or an analytics-driven alert that more accurately tracks system behavior without false positives. Queries can also be API-driven for complete automation.
The advanced dashboard of this Magento reporting plugin presents you with the necessary reports so you can quickly see the dynamics of your business. Hover the mouse cursor over the chart to get the info for the particular day you need.
In this post, we focus on operationalizing advanced settings for OpenSearch Dashboards tenants with programmatic ways, in particular with the Dashboards Advanced Settings API. For a deeper insight into multi-tenancy in OpenSearch, refer to OpenSearch Dashboards multi-tenancy.
One example of advanced settings configurations is deploying time zone settings in an environment where each tenant is aligned to a different geographic area with specific time zone. We explain the time zone configuration with the UI and demonstrate configuring it with the OpenSearch Dashboards Advanced Settings API using curl. This post also provides guidance for other advanced settings you may wish to include in your deployment.
For environments where you prefer to perform operations programmatically, Amazon OpenSearch Service provides the ability to configure advanced settings with the OpenSearch Dashboards advanced settings API.
With our dashboards you can customize and understand the data you collect. Explore your data and correlate connected sources with charts and quickly learn the state of your system and applications for faster, more efficient troubleshooting.
Clicking the star icon next to a dashboard toggles on or off the favorites. When you click it, the icon turns yellow. When you favorite a dashboard, it's grouped with other favorite dashboards at the top of the list.
To access your advanced analytics reports, you can navigate to your video's settings page, click Analytics, then select Analytics dashboard to open analytics for that video.
Alternatively, you can get the advanced dashboard by hovering over your user icon in the upper right corner and selecting Analytics or by also visiting the Vimeo Analytics Dashboard directly.
Select Video from the dashboard menu on the left side of the page to see a graph that will show you the overall views of your videos within the time frame that you have selected. Hovering over a point on the graph will display a statistical breakdown of up to 10 of your selected videos, with the highest performers displaying first.
Select Region from the dashboard menu on the left side of the page to see a graph which will show you the overall views of your videos by region within the time frame that you have selected. Hovering over a point on the graph will display a statistical breakdown of up to 10 of your selected regions, with the highest performers displaying first.
Select Source Report from the dashboard menu on the left side of the page to see a graph that will show you the overall views of your videos by URL source within the time frame that you have selected. Hovering over a point on the graph will display a statistical breakdown of up to 10 of your selected sources, with the highest performers displaying first.
Select Device Report from the dashboard menu on the left side of the page to see a graph which will show you the overall views of your videos by device type within the time frame that you have selected. Hovering over a point on the graph will display a statistical breakdown of up to 10 of your selected devices, with the highest performers displaying first.
With data accumulation and the active will to benefit from it the smartest way possible, business intelligence was born. BI can deliver large volumes of data to an equally large audience of users who will be able to break it down into meaningful data visualizations. This is where you should think about introducing intuitive live dashboard software. With real time dashboard tools like datapine, end users can actively interact with their data to better understand it and extract the true story behind it.
To summarize, storytelling with data has become an important feature in modern BI tools. datapine goes one step further, allowing each dashboard recipient to make their own story. With a stress-free, smooth dashboard builder software like ours, you can perform precious analysis from anywhere at any time, and develop a broad and complete vision of your business as all your data is gathered in one place. Visualizing what matters in real time and easily tapping into the data potential is no longer a hardship; it is even accessible to anyone without special IT skills, thanks to our user-friendly graphical interface. As an intuitive, cloud-based dashboard builder, we empower businesses to drill-down into KPIs of interest, navigate through relevant information guided by predefined paths, and much more. For us, this is the future of data visualization and presentation.
Give your agents, supervisors, and executives the actionable insights they need to better serve your customers with customizable dashboards that display agent metrics and progress toward company goals. Create your own custom views or choose from one of the many pre-built UJET reports and dashboards depending on the data you want to see.
I have problem with make more advanced live chart. I use node-red on PC to collect data from PLC and display it in line chart using standard node-red dashboard chart node. PLC read values from 30 sensors: 20 preassure, 3 temperature, 3 flow, 1 speed. Read frequency is 4Hz. Not all values are visible at time, because I want chart to be clear. For this I need also split y axis according to sensors. So one for preassure, one for temperature, one for flow and one for speed. For now data is coming in form of array msg.payload[] but it is not important because I will format data to proper form. I know format data for live chart to work is
So now proper question: How Can I use more than one y axis? Can I done this with standard node-red dashboard chart? How data structure should look for static chart, and how for live chart? Maybe I should use node-red template node and write code in HTML based on chart.js? And one last question, how can I minimalize PC usage, because when I run 30 sensors, at 4Hz, I get 1200 point in just 10s? be457b7860
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