Learn about Grafana the monitoring solution for every database. Open Source is at the heart of what we do at Grafana Labs. It reduces the series into a single number by looking at the max, min, average, or sum of values in the series. Singlestat also provides thresholds to color the stat or the Panel background. It can also translate the single number into a text value, and show a sparkline summary of the series.
The singlestat panel has a normal query editor to allow you define your exact metric queries like many other Panels. In the Options tab, you can access the Singlestat-specific functionality.
The coloring options of the Singlestat Panel config allow you to dynamically change the colors based on the Singlestat value. Sparklines are a great way of seeing the historical data related to the summary stat, providing valuable context at a glance. Sparklines act differently than traditional Graph Panels and do not include x or y axis, coordinates, a legend, or ability to interact with the graph.
The text will respect all styling, thresholds and customization defined for the value. This can be useful to translate the number of the main Singlestat value into a context-specific human-readable word or message. Grafana 2. In previous versions, the panel logic did not verify that only a single series was used, and instead, displayed the first series encountered.
Grafana has several methods of sending notifications, Email, Slack and many others that you can see here:. To be able to receive notifications to a specific channel, we will have to create a Webhook in the channel we need, normally it would be a channel to receive alarms, instead of bombarding the General channel or similar. In the channels where we need notifications, imagine that we want a certain team to receive notifications of their applications, we will go to the channel — Connectors Select the connector called Incoming Webhook: Select now the big button called Add: Select the name we want for our Webhook, as well as an icon that we like: When you click Create, will show a unique URL with the Incoming Webhook, this is the address we want to use in Grafana:.
It seems that the DNS server Hi, Thank you! How this could be solved? Hello, For alerts, you need to use a query without a variable, it is a pain to be honest, but I am preparing another post in how to send alerts for this in a better fashion.
This site uses Akismet to reduce spam. Learn how your comment data is processed. Skip to content Menu. Nothing more friends, I hope you like it, and you will find it useful.
Like this: Like Loading Prev Grafana: Using Microsoft Office for our email notifications.
Take a look at your DNS resolution on your Grafana server. Best regards Loading Hello Agnese, Can you please share a screenshot with me?
Bar gauge panel
Thank you! Hi, Do you have any idea how to solve it so that mobile shows at least name of graph? Hello, It seems it is a bug on Grafana itself, I will need to check on github. I have the same VMWare dashboard as you, but i get this error message when adding the alert.
Your post helped me a lot! Leave a Reply Cancel reply.In this tutorial we follow up a first article to build a complete DIY Smart Home indoor weather station. In this second article we want to save the published messages in an InfluxDB database and create a beautiful dashboard with Grafana. Let us quickly summarize what we did in the first article in this series. The last step was to build a subscriber as basic python script to show the last entries of the topics.
Now we extend our application with a InfluxDB database to store all the sensor data and the visualization tool Grafana to show us nice charts on a dashboard. The following picture shows you the big picture of the communication between all parts of this application. First we start with the installation and configuration of the InfluxDB. In our example we use InfluxDB to store the data because it is optimized for time series data. Of cause it would also be possible to work with other databases like MariaDB or mongoDB but InfluxDB work right out of the box with Grafana, we use to visualize the data.
If you are new to InfluxDB it makes sense to gain some knowledge about the database system itself. You can read the getting started guide of InfluxDB for example.
Because the Raspberry Pi is a Linux system the installation is pretty easy. Execute the following 2 commands in the Raspberry Pi terminal. After the successful installation you can start InfluxDB and control the current status with the following commands.
This is necessary because we want to write data from the MQTT subscriber to an existing database. To change the configuration, use the following statement. In the configuration file scroll down with the arrow key on your keyboard to the [http] part of the configuration.
After every change in the configuration InfluxDB has to be restarted that the changes in the configuration are active. Restart InfluxDB with the following command. Now we create a new database with whatever name you like.
Tpye in the following commands:. The database is created and now we create a new user and give this user the rights to access the database we created before.You can use template variables for creating highly reusable and interactive dashboards. General idea of templating is allow Grafana to get different metrics from data source and provide a way to change it on the fly without modifying dashboard.
In case of Zabbix it means that you can get list of Host Groups, Hosts, Applications or Items and add it as a variables. To create template variable click the cog icon on the top navigation bar and choose Templating. When you click New button, you'll see template variable editor. It contains these sections:. Label Visible label for variable. Use when you want to display different name on dashboard. Type By default Query type is selected.
It means that Grafana asks data source for values of variable. But there are some other types: Interval just a time intervalData source You can switch data source, for example, if you have more than one Zabbix instance and each added into Grafana as data sourceCustom you can set any predefined values for variable and Constant. Multi-value Enable, if you want to select multiple values at the same time.
You still can use a period. You can use another variable as a part of query.Create beautiful dashboards with Grafana.
For instance, you have variable groupwhich returns list of host groups and want to use it for querying hosts in selected group only. Here's a query for this case:. When you create a variable, you can use it as a part of data source query. Grafana also supports variables in different places like panel's and row's titles, Text panel's content, etc.
See more about templating in Grafana docs. Grafana-Zabbix Documentation. Templating Guide You can use template variables for creating highly reusable and interactive dashboards. Creating Variable To create template variable click the cog icon on the top navigation bar and choose Templating. It contains these sections: Variable Name Name of the variable.
You should use this name in queries. Query Options Data source Data source used for querying variable values. Refresh When to update the values of this variable. Query Query string. Regex Use regex if you need to filter values or extract a part of value. Selection Options Multi-value Enable, if you want to select multiple values at the same time.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. I am new to Grafana but really like what I see so far.
I am using Grafana 2. I've pasted a screenshot of what I'm trying below. However, when I select the tags it does not show anything. Any suggestions would be greatly appreciated, thanks!
Also have a problem with this two queries. Setup with InfluxDB v0. Also I see in browser debugger that Grafana do query when I click on tags and receive valid response:. All queries are checked in influxDB and returned expected results: first query - all hostnames second - all services third - subset of hostnames with specified service Then I click in tag in Grafana - I see in debugger that query for tag values also returns valid subset of hostnames, but selection in "hosts" checkboxes don't changed.
AlexMaksimkin this strange, just tested this and it worked fine. Hi torkeloI have same issue when use grafana 4. Having issues. This feature seems to have regressed.
If I go to the templating-value-groups test dashboard, I see two tags available "America" and "Europe". The tags then disappear, never to return. This seems to be a case of Skip to content. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
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This issue aims to find one solution for solving all or most of the issues above and by that delivering a good and consistent user experience. By that said, we probably want to split this up in smaller issues if we decide that this is a good way forward.
This is something to take into considerations when implementing this. It would be nice if this component also could return a list of rule types that it supports. Currently you can define thresholds for each defined Column style. Maybe we want to continue having this possibility since we can make smart decisions of what columns to apply the conditional formatting rules to.
In the mockup below there's a really simple UX which basically would scan all rows and columns returned from data source query to apply conditional formatting. One option to having conditional formatting inside the Column style tab would be to allow conditional formatting rules to be applied per columns basis under a specific tab. Basically like the mockup below but with additional logic to decide which columns the rules should be applied to. I think this proposal sounds pretty good.
One thing I'd like to mention that would tie into this: panels and alerts would become so much more powerful if thresholds could be defined based on other queries. An example would be monitoring a ceph cluster. Ceph requires a set of daemons to form a quorum. I think this looks very interesting. It generalizes a concept and in a way makes it easier to use The current thresholds csv string is a bit confusing.
Not sure where this input should get factored in In other words, can one column be consulted to control the color attribute of another column, or alternatively, can conditions for a column's color be expressed by factoring in other column data? Is there a rough timeframe of when such functionality would tentatively be made available, e.
No timeframe or milestone right now but giving that this and related issues have many votes we'll try and come back with more information as soon as we know more. I think this is included with but I just want to reiterate that wherever possible, these condition fields should accept template variables as values. Any updates as to the progress of this request?Therefore it needs to be monitored very seriously.
The central DDI management console is a powerful tool, so usage is reserved for network administrators and DDI experts only, making it unsuitable for global IT supervision. Fortunately, most DNS metrics can be made available to the external world through a standard API endpoint, and thus integrated into broader supervision and alerting solutions. In order to have visibility on the way a system is working, the two main methods are through analytics and through states. The specific case of event or log monitoring is more reserved to correlation tools like SIEM.
Generally monitoring teams tend to use a mix of both kinds of systems in order to cover trending through analytics and events for incident management. In this article we propose exploring the standard open source solution for analytics and metrics, composed of Prometheus and Grafana. It collects numerical metrics and stores them with the time of day in a specific database that is able to easily perform statistical calculations on time ranges.
Grafana is an analytics and event triggering solution mainly used for creating real-time dashboards composed of metrics on most IT infrastructure systems. It allows easy visualization of the metrics on graphical dashboards which are displayed on a supervision screen.
Grafana can use Prometheus as a data source, as shown in our scenario below. DNS metrics are important to monitor, as behavior of the service can significantly impact user experience and availability of applications. Keep in mind that DNS is the intent link between any client and the application he uses.
If the DNS is not working or not working well, the impact is immediate. Correlating these indicators with metrics on application availability, network bandwidth and any delay globally will help answer the first basic question concerning any incident: is it the network or is it the DNS?
For deeper investigation by operation teams, more detailed dashboards can be proposed with type of queries, on answer size or answering delay for example.
It can be based on the SNMP agent embedded in the solution, or on the exposed API endpoint proposed by the DNS engine that can be simply translated to a Prometheus format in order to be added to an existing solution. In case of an incident, or in order to simply dispel a doubt, a more advanced dashboard can be proposed directly within the Grafana solution.
The solution we have used to demonstrate this integration with Prometheus and Grafana is based on a specific configuration on the DNS server and a small Python software used to convert the DNS data format into Prometheus format. You can try the Docker solution available on our gitlab repository as an integration example and starting point. The 3 components converter, Prometheus and Grafana are embedded in a Docker environment for easy proof of concept.
It provides you the same dashboard as the one presented in the screenshot above.