1 00:00:00,330 --> 00:00:07,770 OK, we're going to look at value groups, Tagg's value groups, Tagg's is the ability to do this, 2 00:00:07,770 --> 00:00:11,430 create these tags and sort of drop down. 3 00:00:11,460 --> 00:00:16,520 So when I opened a dropdown up, I get these little options to the right. 4 00:00:17,610 --> 00:00:25,200 And when you click one priest, Selex say, oh, Linux servers, for example, Mac OSX server or the 5 00:00:25,200 --> 00:00:27,690 Windows servers, the Xbox servers. 6 00:00:28,730 --> 00:00:36,870 This is an example I'm going to show you how to create this particular value group's tax panel using 7 00:00:36,870 --> 00:00:38,930 the Zavitz datasource first. 8 00:00:39,560 --> 00:00:42,880 OK, so we're going to create a new dashboard very, very quickly. 9 00:00:42,890 --> 00:00:46,550 I'm going to go straight to the sitting's it's going to give it a name, very quick. 10 00:00:46,550 --> 00:00:52,460 Value groups tags Zwick's, save that back to the sitting's kind of variables. 11 00:00:52,460 --> 00:00:56,120 And AmeriCredit new variable and call it interface. 12 00:00:57,690 --> 00:01:04,540 It's a query, it's labor will also be interface, I can give it to Cappotelli, the datasource. 13 00:01:06,650 --> 00:01:11,810 We zwick's our refresher on dashboard load and the query. 14 00:01:12,950 --> 00:01:16,310 Will be star, dot star. 15 00:01:16,340 --> 00:01:18,560 We'll revisit that in a moment, what that means. 16 00:01:20,290 --> 00:01:23,930 OK, it's going to be a multi value and here we go. 17 00:01:23,950 --> 00:01:29,440 This is the Value Group's Tagg's experimental feature and it is an experimental feature. 18 00:01:29,440 --> 00:01:38,290 So it's likely to change in later versions labeled the metric name or the tags query is going to be. 19 00:01:40,280 --> 00:01:48,560 Star and the the tags value query for this example, dollar tag. 20 00:01:50,080 --> 00:01:51,520 Don't start. 21 00:01:52,420 --> 00:02:02,860 OK, so just going back to these queries, query in is Ebix datasource quite to Ropen DOT host. 22 00:02:04,420 --> 00:02:11,830 I'll remind you that when we get by, when we create a graph, it's a group that host tags query to 23 00:02:11,830 --> 00:02:13,360 show the actual tags. 24 00:02:13,360 --> 00:02:23,380 The colored boxes to the right is just a star in this case and that will show groups and the tags query 25 00:02:23,410 --> 00:02:28,770 when you select a tag will be whatever the tag was, you clicked dot star. 26 00:02:28,990 --> 00:02:32,260 So we look at that particular to the Xbox datasource. 27 00:02:34,620 --> 00:02:42,290 Groups to host everything that will be selected will be whatever group was clicked, thought hosts, 28 00:02:42,660 --> 00:02:43,650 all hosts. 29 00:02:44,880 --> 00:02:51,840 So there's a sample of the hosts down there, sir, and I'll give it a sort ascending. 30 00:02:51,840 --> 00:02:56,810 So let's add that interface, disco dancing to the front. 31 00:02:57,480 --> 00:03:06,310 So already we can say that discovered hosts Linux servers, Mac OS, X server, Windows servers and 32 00:03:06,310 --> 00:03:09,570 SABIC servers and that very well can be used to. 33 00:03:09,570 --> 00:03:13,890 Let's just use that variable quickly just by creating a visualization. 34 00:03:13,890 --> 00:03:15,770 A graph is good. 35 00:03:16,140 --> 00:03:18,710 The query being remembered. 36 00:03:18,750 --> 00:03:21,930 I said start star that star dot star. 37 00:03:22,500 --> 00:03:25,800 If I was to go further than now another star and another star. 38 00:03:25,800 --> 00:03:29,610 So the first group will just be a wild everything. 39 00:03:29,910 --> 00:03:34,200 The host will be the interface that I've created. 40 00:03:34,380 --> 00:03:37,530 These are the hosts, the application. 41 00:03:37,540 --> 00:03:42,180 In this case I'm just going to use C.P.U and the items are going to be use a time. 42 00:03:43,190 --> 00:03:43,630 OK. 43 00:03:45,300 --> 00:03:49,290 That's everything will also allow. 44 00:03:51,060 --> 00:03:58,050 And repeating on interface and the panel title will be Interface C.P.U Time. 45 00:03:59,160 --> 00:04:00,450 That's very, very good. 46 00:04:02,690 --> 00:04:04,440 Horizontal or make a vertical. 47 00:04:05,120 --> 00:04:11,840 It's very good, let's go backwards now, CPU time or make the long and wide. 48 00:04:13,460 --> 00:04:17,940 Say that, and now it's test the application of. 49 00:04:18,779 --> 00:04:23,370 It's value groups tax some Mac OS Windows service. 50 00:04:23,970 --> 00:04:25,100 OK, here we go. 51 00:04:26,480 --> 00:04:31,230 Not many more servers are at the moment, but we can see we have some data there. 52 00:04:31,270 --> 00:04:36,880 Let's deselect the place like then let's select Linux servers. 53 00:04:37,910 --> 00:04:39,860 I go now Linux servers. 54 00:04:40,980 --> 00:04:47,700 It's Deselect and selectable discovered hosts Naomie going on my discovered hosts. 55 00:04:49,920 --> 00:04:56,700 I think that's you get the idea there quickly, looking at this variable again, how to rate this or 56 00:04:56,700 --> 00:04:58,920 how to interpret the scenario in your head. 57 00:04:59,370 --> 00:05:03,510 It's the query, which is the mind list on the left. 58 00:05:04,600 --> 00:05:07,540 There's a tax query, which is the list on the right. 59 00:05:08,800 --> 00:05:16,180 The colored boxes and then there's the tags values query, the query that is run when a tag is clicked. 60 00:05:16,190 --> 00:05:19,240 So for example, being group. 61 00:05:20,390 --> 00:05:23,840 Eisenheim shows all the host names to the left. 62 00:05:25,660 --> 00:05:29,230 The tax query is group shows all the groups to the right. 63 00:05:30,130 --> 00:05:31,540 The tax value query. 64 00:05:33,100 --> 00:05:41,620 Group, whichever group was clicked, say Windows hosts, DOT or Windows hosts get selected very, very 65 00:05:41,620 --> 00:05:42,100 good. 66 00:05:48,070 --> 00:05:51,190 Value groups tax the Xbox datasource.