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RRDtool – RRDtool Download.GitHub – oetiker/rrdtoolx: RRDtool 1.x – Round Robin Database

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That is RRDTool versions 1. I also have no idea of how to compile it myself. Any help would be much appreciated. Kind regards Patrik. That is also why its next to impossible to find any recent builds of it for Windows online. The last version I was able to successfully compile was 1. You saved me! Seems to be working with Windows as well. Edit:sorry, wrong thread.

Can’t remove it. Please help me! True understanding begins only when we realize how little we truly understand Life is an adventure, let yours begin with Cacti! Author of dozens of Cacti plugins and customization’s. Yearning for less bugs. Who want’s a Cacti 1. Streams anyone? Will let BSOD know. Board index Contact us.

 
 

 

Download rrdtool for windows.RRDtool Download

 

Any help would be much appreciated. Kind regards Patrik. That is also why its next to impossible to find any recent builds of it for Windows online. The last version I was able to successfully compile was 1. You saved me! Seems to be working with Windows as well. Edit:sorry, wrong thread.

Can’t remove it. Please help me! True understanding begins only when we realize how little we truly understand Life is an adventure, let yours begin with Cacti! Author of dozens of Cacti plugins and customization’s. Yearning for less bugs. Who want’s a Cacti 1. Streams anyone? Will let BSOD know. This automatically limits the history to the last 1′ values in our example. Because you can define several RRA s within a single RRD , you can setup another one, for storing data values at a 2 hour interval, for example, and thus keep a log for the last two months at a lower resolution.

By using the consolidation feature, you can still keep data for a very long time, while gradually reducing the resolution of the data along the time axis. Using different consolidation functions CF allows you to store exactly the type of information that actually interests you: the maximum one minute traffic on the LAN, the minimum temperature of your wine cellar, As mentioned earlier, the RRD stores data at a constant interval.

Sometimes it may happen that no new data is available when a value has to be written to the RRD. Data acquisition may not be possible for one reason or other. RRDtool allows you to generate reports in numerical and graphical form based on the data stored in one or several RRD s. The graphing feature is fully configurable.

Size, color and contents of the graph can be defined freely. Check rrdgraph for more information on this. RRDtool provides the building blocks for near real-time aberrant behavior detection. These components include:. The Holt-Winters time series forecasting algorithm is an on-line or incremental algorithm that adaptively predicts future observations in a time series. Its forecast is the sum of three components: a baseline or intercept , a linear trend over time or slope , and a seasonal coefficient a periodic effect, such as a daily cycle.

There is one seasonal coefficient for each time point in the period cycle. After a value is observed, each of these components is updated via exponential smoothing. This means that the algorithm “learns” from past values and uses them to predict the future. The rate of adaptation is governed by 3 parameters, alpha intercept , beta slope , and gamma seasonal.

The prediction can also be viewed as a smoothed value for the time series. The measure of deviation is a seasonal weighted absolute deviation. The term seasonal means deviation is measured separately for each time point in the seasonal cycle. As with Holt-Winters forecasting, deviation is predicted using the measure computed from past values but only at that point in the seasonal cycle.

After the value is observed, the algorithm learns from the observed value via exponential smoothing. Confidence bands for the observed time series are generated by scaling the sequence of predicted deviation values we usually think of the sequence as a continuous line rather than a set of discrete points.

Aberrant behavior a potential failure is reported whenever the number of times the observed value violates the confidence bands meets or exceeds a specified threshold within a specified temporal window e. This functionality is embedded in a set of related RRAs. With these data you could, for example, use a front-end application to RRDtool to initiate real-time alerts.

For a detailed description on how to set this up, see rrdcreate. Over these pipes RRDtool accepts the same arguments as on the command line and some special commands like cd, mkdir, pwd, ls and quit.

For detailed help on the server commands type:. When a command is completed, RRDtool will print the string ‘ OK ‘, followed by timing information of the form u: usertime s: systemtime.

Both values are the running totals of seconds since RRDtool was started. RRDtool will not abort, unless something really serious happens. Attention: the TCP port isn’t officially registered for rrdsrv. You can use any unused port in your services file, but the server and the client system must use the same port, of course.

For example:. If all was setup correctly, you can access the server with Perl sockets, tools like netcat, or in a quick interactive test by using ‘telnet localhost rrdsrv’. NOTE: that there is no authentication with this feature! Do not setup such a port unless you are sure what you are doing. If you run into such problems, you might want to take a look at rrdcached , a caching daemon for RRDtool which may help you lessen the stress on your disks.

NOTE: The content of this website is accessible with any browser. The graphical design though relies completely on CSS2 styles. If you see this text, this means that your browser does not support CSS2.

It may also be that you are looking at a mirror page which did not copy the CSS for this page. Or if some pictu res are missing, then the mirror may not have picked up the contents of the inc directory. Check rrdrestore fetch Get data for a certain time period from a RRD. Check rrdinfo. Data Acquisition When monitoring the state of a system, it is convenient to have the data available at a constant time interval.

Consolidation You may log data at a 1 minute interval, but you might also be interested to know the development of the data over the last year.

Graphing RRDtool allows you to generate reports in numerical and graphical form based on the data stored in one or several RRD s. These components include: An algorithm for predicting the value of a time series one time step into the future. A measure of deviation between predicted and observed values. A mechanism to decide if and when an observed value or sequence of observed values is too deviant from the predicted value s. Here is a brief explanation of these components: The Holt-Winters time series forecasting algorithm is an on-line or incremental algorithm that adaptively predicts future observations in a time series.

For detailed help on the server commands type: rrdtool help cd When a command is completed, RRDtool will print the string ‘ OK ‘, followed by timing information of the form u: usertime s: systemtime.