XenTegra - On The Horizon

On the Horizon: Introducing VMware Workspace ONE Intelligence for VMware Horizon - Insights and Analytics for Your Horizon Environment

October 18, 2021 XenTegra / Andy Whiteside / Bill Sutton Season 1 Episode 18
XenTegra - On The Horizon
On the Horizon: Introducing VMware Workspace ONE Intelligence for VMware Horizon - Insights and Analytics for Your Horizon Environment
Show Notes Transcript

Workspace ONE Intelligence delivers insights, analytics and automation for the Workspace ONE platform, and empowers our customers to improve employee experience, streamline IT operations and enhance security.

Today we are excited to announce that Workspace ONE Intelligence will soon support VMware Horizon, bringing the advanced Workspace ONE Intelligence capabilities to Horizon customers and delivering insights and analytics for both physical devices and virtual desktops through a single pane of glass.

By integrating Horizon data into Workspace ONE Intelligence, IT admins will be able to get visibility into mobile devices, physical and virtual desktops and applications in a single, centralized location. This end-to-end visibility will enable admins to streamline management and get a holistic view of user experience in their organization.

Host: Andy Whiteside
Co-host: Erik Collett

WEBVTT

1
00:00:02.490 --> 00:00:09.690
Andy Whiteside: Hello everyone and welcome to episode 18 of on the horizon i'm your host Andy whiteside got Eric collette with me eric's been a while.

2
00:00:10.080 --> 00:00:11.940
Erik Collett: yeah it has it has.

3
00:00:12.150 --> 00:00:18.090
Andy Whiteside: How many how many listeners you think rather just just mad because we weren't just a couple weeks.

4
00:00:18.300 --> 00:00:25.770
Erik Collett: i've so many people are furious right now that we have dropped off the face of the earth due to all these conferences and everything else we're doing.

5
00:00:26.700 --> 00:00:31.920
Andy Whiteside: yeah I like to think that's how it is, but maybe not but nonetheless I do know we have.

6
00:00:32.370 --> 00:00:37.290
Andy Whiteside: We have a good listener base and so hopefully we'll grow it as we keep covering good content.

7
00:00:38.250 --> 00:00:39.810
Erik Collett: yeah i'm with you.

8
00:00:40.200 --> 00:00:46.170
Andy Whiteside: Eric is you know i'm a fanboy of utah in the mountains out there what's uh what's the weather like today.

9
00:00:46.650 --> 00:00:54.150
Erik Collett: Today it is lightly dusted it's like a powdered doughnut up there and i'm seeing snow starting to creep down.

10
00:00:54.840 --> 00:01:09.750
Erik Collett: And so, yes it is happening, it is happening, we had a brisk sort of week last week so we're I think I think we're looking at some moisture we've had droughts so we're due for some moisture so maybe we can count on that.

11
00:01:10.440 --> 00:01:14.040
Andy Whiteside: Hopefully, as I get my ski season together, which I need to do right away actually.

12
00:01:14.640 --> 00:01:17.490
Andy Whiteside: i'll be heading out there, but we can meet up again.

13
00:01:18.780 --> 00:01:25.470
Andy Whiteside: ma the idea that it's snowing on October 10 11th is a southerners can't fathom that kind of madness.

14
00:01:27.180 --> 00:01:38.670
Erik Collett: Well, I I have not, I could not predict this, I could not predict it so i'm very glad it's happening again serious drought season can't wait for some weather to come in and.

15
00:01:39.300 --> 00:01:41.550
Erik Collett: Show me otherwise absolutely.

16
00:01:42.120 --> 00:01:50.730
Andy Whiteside: So Eric we were talking beforehand about topics and there are a plethora coming off of vm world i'm sure that was a pretty successful conference for you guys, however, I am.

17
00:01:51.720 --> 00:02:02.100
Andy Whiteside: it's killing me that we don't do these things in person and i'm excited hopefully for next year, if you could just tell the powers that be we're gonna definitely do it in person, next year, and just tell it to make it happen.

18
00:02:02.370 --> 00:02:23.670
Erik Collett: Oh, and I guarantee, we will do it next year and I will say I suffered the same problems, looking at video content for hours and hours and days and days is just exhausting it's exhausting to shake hands to talk with people just miss it so much I i'm with you.

19
00:02:23.970 --> 00:02:34.140
Andy Whiteside: yeah the human element okay well topic you picked we picked but you helped me pick for today is a you get my screen shared here oh.

20
00:02:34.170 --> 00:02:42.990
Erik Collett: you're right about it being a plethora of topics there's some there's so much out there, so we have content for the next you know, a couple of weeks we're good.

21
00:02:43.470 --> 00:02:44.760
Erik Collett: yeah can make up for lost time.

22
00:02:45.360 --> 00:03:00.450
Andy Whiteside: So the blog we're reviewing today is introducing vmware workspace one intelligence for vmware horizon insights and analytics for your horizon environments all right well tell me by kicking this off and and tell me what the overall concept is and why it matters.

23
00:03:01.320 --> 00:03:13.800
Erik Collett: Well, similar to other so it's it's kind of funny because you said let's talk about something about horizon and, yes, we have horizon in the mix, but it is still powered by workspace one intelligence.

24
00:03:15.420 --> 00:03:21.990
Erik Collett: Basically, taking in ingesting all this different data around your horizon environment, using the.

25
00:03:22.500 --> 00:03:30.000
Erik Collett: Intelligence engine from workspace one to talk about what your environments doing and how it's running.

26
00:03:30.630 --> 00:03:42.180
Erik Collett: So it's grabbing all this different data ingesting it and then spit out a dashboard to let you know how things are running in your environment and your employees general experience with that environment.

27
00:03:42.570 --> 00:03:47.190
Andy Whiteside: So it's the overall idea that we're going to aggregate all of our vmware workspace one.

28
00:03:47.310 --> 00:03:49.950
Andy Whiteside: related items, including horizon.

29
00:03:50.010 --> 00:03:51.540
Andy Whiteside: into a single place.

30
00:03:51.810 --> 00:03:52.800
Erik Collett: Where we can look.

31
00:03:52.860 --> 00:03:58.440
Andy Whiteside: At what our folks are doing look at trends and we can react as needed.

32
00:03:59.190 --> 00:04:08.040
Erik Collett: yeah and it's a little different than our usual operations stuff when we start looking at operations analytics there's a lot of detail that goes into these.

33
00:04:09.420 --> 00:04:21.030
Erik Collett: We have many different tools we have control up that we integrate with we have our own be realized operations all of those are great and they give you a very granular detail but actionable.

34
00:04:21.570 --> 00:04:36.840
Erik Collett: Direct information is what you have with this intelligence tool, where it gives you a dashboard that shows you exactly where your experience for the employee is is maybe in trouble, or where it's doing very well.

35
00:04:37.620 --> 00:04:48.330
Andy Whiteside: And so Eric the next section here talks about advanced analytics I think that's what you're talking about where you have these graphs and control planes where you can go look at individual metrics and get a visual representation.

36
00:04:48.780 --> 00:05:03.750
Erik Collett: yep yep and that visual representation is super handy for actually knowing how much is being utilized or where the gaps are and it's experience gaps specifically log on times the latency for interaction.

37
00:05:04.830 --> 00:05:06.480
Erik Collett: Its measured from the.

38
00:05:07.650 --> 00:05:16.440
Erik Collett: Customer side, so we know exactly what their experience is, and then we can start targeting that with specific details.

39
00:05:17.640 --> 00:05:27.870
Andy Whiteside: And Eric assuming most organizations don't have that guy they said they're just paid a look at this all time this is kind of like trending type stuff but then you have this next section talks about alerts and notifications.

40
00:05:28.020 --> 00:05:35.460
Erik Collett: Yes, and when it comes down to you've got that guy who's who says oh yeah that's wrong something's out there and something's wrong.

41
00:05:35.760 --> 00:05:46.860
Erik Collett: If he was there, the whole time he could tell your it team hey there's a problem with this particular these login times, or maybe these desktops aren't spinning up as fast as they should.

42
00:05:47.820 --> 00:05:56.400
Erik Collett: So you're going to have instead of that person just sitting there poring over metrics all day because I know we have one always have somebody like that in our back office.

43
00:05:58.110 --> 00:06:05.280
Erik Collett: Well, anyway, we set up these into intelligence engines to look at these data pieces of data and then.

44
00:06:06.150 --> 00:06:25.920
Erik Collett: inform you or alert you and you can do it through various means like slack or teams or other communication systems like that, or maybe itself logs a ticket to do the same thing depends on what communications platform you're using to use a particular workflow to get it started.

45
00:06:26.880 --> 00:06:38.160
Andy Whiteside: But the whole point is whatever solution, you have in place you're gonna be able to leverage to your leverage this to talk to it, so that you got your enterprise wide system in play.

46
00:06:38.700 --> 00:06:46.950
Erik Collett: yep and if it's an email it's an email so, but we have different connection connectors for different tools sure.

47
00:06:48.090 --> 00:07:05.220
Andy Whiteside: So Eric i'm digging in so login durations showed up twice now let's face it, I mean we're 2028 we're still 2021 oh gosh and we're still chasing long login times and users have just come to accept that's the way it is, but never going to get a proactive look at it real time all the time.

48
00:07:05.850 --> 00:07:17.640
Erik Collett: yeah and a login times is probably the low hanging fruit when it comes down to it, maybe login times aren't your biggest deal, maybe it's the spin up of the desktop maybe it's disk latency happening.

49
00:07:18.270 --> 00:07:34.830
Erik Collett: In unfortunate places maybe it's just routing concerns with your network your network isn't responding as quickly as you expect it to, and it will point in the direction where you can find to chase down that data and start resolving it.

50
00:07:35.370 --> 00:07:37.440
Andy Whiteside: And then so along that line that means you.

51
00:07:37.530 --> 00:07:40.440
Andy Whiteside: have the ability to drill start drilling down and get more information on it.

52
00:07:41.400 --> 00:07:43.950
Erik Collett: yeah each one of these little data points that we pull in.

53
00:07:44.610 --> 00:07:55.050
Erik Collett: It gives you the these are more of an aggregation so it's like aggregated results, but each of those aggregated results come from a few different items that pop pop in.

54
00:07:55.710 --> 00:08:07.080
Erik Collett: And as you look at it, you can say well here's my login duration, how long did it take for the desktop to actually show up and what is that experience overall.

55
00:08:08.100 --> 00:08:09.150
Erik Collett: And if we need to we can.

56
00:08:10.230 --> 00:08:21.720
Erik Collett: You know dig a little more into the back end when it comes to the operations details as well, but it will give us some high level detail to to track down to to do some research on.

57
00:08:23.160 --> 00:08:23.850
Andy Whiteside: It so Eric.

58
00:08:26.280 --> 00:08:34.320
Andy Whiteside: Is there anything secret sauce in this where vmware has the ability to look at its own protocol better than others that you couldn't get out of other systems.

59
00:08:36.030 --> 00:08:49.260
Erik Collett: I would say, everybody has access to the same detail now our intelligence engine can probably negotiate that in ways that we can prescribe but I will say.

60
00:08:50.490 --> 00:08:58.410
Erik Collett: You can end this is the engineering answer if you have the data, and you know how to work with that data you're going to get the results that you're looking for.

61
00:08:58.800 --> 00:09:08.880
Erik Collett: However, we know what those metrics are we know what the metrics are that people are aggravated by mean we've been listening to people for a very long time.

62
00:09:11.310 --> 00:09:20.970
Erik Collett: Every complaint is a gift when it comes to situations like that so just like the it departments, we understand where are where things.

63
00:09:22.260 --> 00:09:28.890
Erik Collett: When they hit the user are not exactly what their experience more experience they want, so we can prove that out.

64
00:09:29.910 --> 00:09:34.800
Erik Collett: I mean we even have like the digital employee experience in this is the next section below.

65
00:09:36.240 --> 00:09:48.060
Erik Collett: Where we actually can take in those different key points, and we take them in and and investigate them and we know how they're going to be impacting the employee.

66
00:09:49.530 --> 00:10:02.190
Erik Collett: These are again analytics and details that we know that are coming in, but we have leveraged against our own experience, using our intelligence platform and even using workflows as surveys.

67
00:10:03.330 --> 00:10:11.280
Erik Collett: workspace one can initiate different surveys to say how was your experience, maybe it wasn't great, can you tell us exactly what that was.

68
00:10:11.580 --> 00:10:19.590
Erik Collett: Or maybe whenever we see a person who's having trouble inside of their environment, maybe latency issues are predominant in that space.

69
00:10:20.130 --> 00:10:33.780
Erik Collett: We can actually initiate a survey, to say what happened, you know what was your experience, we see that things weren't exactly in line so we're going to kick off a survey for that person to understand exactly what that person is going through.

70
00:10:35.970 --> 00:10:45.000
Andy Whiteside: A couple times along the way that you guys are seeing so much data, and this is the space that this part of the vmware organization is involved in every day that.

71
00:10:45.480 --> 00:11:01.860
Andy Whiteside: You know there's expertise there that the normal person doesn't have doesn't have in there on speed dial right they have they don't have this knowledge necessarily of things that are happening worldwide even and that's where having this centralized analytics portion.

72
00:11:02.940 --> 00:11:03.810
Andy Whiteside: It helps out a lot.

73
00:11:04.380 --> 00:11:05.610
Erik Collett: yeah absolutely.

74
00:11:07.140 --> 00:11:10.110
Erik Collett: I mean it's and it's all about automation at that point.

75
00:11:12.390 --> 00:11:17.370
Andy Whiteside: So next portion talks about faster remediation do you have any examples of what people might do to.

76
00:11:18.420 --> 00:11:22.230
Andy Whiteside: remediate when something is noticeably measured.

77
00:11:22.740 --> 00:11:33.060
Erik Collett: yeah when something goes awry well, the key is understanding those metrics yes, we all have access to those metrics but then utilizing our own.

78
00:11:33.570 --> 00:11:37.890
Erik Collett: understanding of what how all of that works into an employee experience.

79
00:11:38.760 --> 00:11:50.640
Erik Collett: And that's what we do with workspace one intelligence, we gather all those different metrics up and then we can say here's a guided root cause analysis to understand exactly where your problem is.

80
00:11:51.150 --> 00:12:00.270
Erik Collett: Now if it's a network issue, maybe, things are being read rerouted through a load balancer maybe it's hitting some dead air in that that whole process.

81
00:12:00.810 --> 00:12:12.750
Erik Collett: But really we can look at it in each of those different dashboards, we can see exactly where that context lies, and then we can either revise that context, to make it.

82
00:12:13.410 --> 00:12:23.670
Erik Collett: flow a little bit smoother or maybe we just put the appropriate storage in there, so that everything's a lot more speedy or maybe one of your memory.

83
00:12:24.810 --> 00:12:34.140
Erik Collett: Maybe a particular host is not behaving appropriately so maybe replacing some of the memory inside of that because air corrections are going off the charts.

84
00:12:34.740 --> 00:12:46.710
Erik Collett: So in any one of those slices we can nail down exactly who or what in the environment is causing issues, so we can guide people to that finish.

85
00:12:47.670 --> 00:13:05.940
Andy Whiteside: So Eric in the article here calls out a couple two sessions from vm world i'll just read them off the US to 090 and the US to 069 do you having were you able to sit through these sessions, and can you kind of cover briefly real high level why there was applied to this conversation.

86
00:13:06.420 --> 00:13:10.740
Erik Collett: Well, I So the first one to 090.

87
00:13:11.940 --> 00:13:28.710
Erik Collett: really is about workspace one's intelligence and it focuses in on health care, but I would say that digital employee experience the 2069 entry is probably the one that gives you the most.

88
00:13:29.670 --> 00:13:45.420
Erik Collett: understanding of the end result, the use case that we are trying to shoot for and the plot and problems we're trying to solve, so I would look at the US to 069 first and then reach back and say what's workspace one intelligence doing.

89
00:13:46.740 --> 00:13:51.780
Erik Collett: Healthcare it's just a really hot space for this kind of this kind of information.

90
00:13:52.650 --> 00:13:56.400
Erik Collett: And so I expect that their experience is going to help everybody ultimately.

91
00:13:57.030 --> 00:14:01.530
Andy Whiteside: Right, because those guys have used these technologies forever and they've struggled forever.

92
00:14:01.830 --> 00:14:03.540
Erik Collett: For ever yes.

93
00:14:03.750 --> 00:14:04.530
Erik Collett: No, thank you for.

94
00:14:04.620 --> 00:14:11.850
Andy Whiteside: catching up, we were the we have the tools to kind of finally help them the way they need to be helped and they are their first jumping onto the bandwagon.

95
00:14:13.770 --> 00:14:22.680
Erik Collett: I thank them for their efforts and going through all these different bumps and bruises to get to this point it's made everybody else's life easier in the process.

96
00:14:23.730 --> 00:14:36.510
Andy Whiteside: it's partially their faulty right they've chosen these big fat heavy applications that had to have a virtualization delivery and they've just had to suffer through some bad implementations and bad management of implementations all these years and.

97
00:14:36.960 --> 00:14:38.370
Andy Whiteside: Now they've got analytics.

98
00:14:39.600 --> 00:14:43.890
Andy Whiteside: analytics that can highlight truly what their pain is and it's not just hearsay.

99
00:14:44.340 --> 00:14:45.120
Erik Collett: yeah yeah.

100
00:14:46.560 --> 00:14:54.360
Erik Collett: Financially it's a challenge because of all of those different devices that you need to have either hanging off of it or.

101
00:14:55.680 --> 00:15:10.080
Erik Collett: The computers, the servers that are running these things tend to be slightly underpowered because of budget, and then we see where those gaps are it's best just to buy towards your ear and.

102
00:15:11.640 --> 00:15:12.030
Erik Collett: Your gold.

103
00:15:12.240 --> 00:15:20.760
Andy Whiteside: yeah moore's law things get better, faster, as you as long as you go and then, but at the same time you've got you know poorly configured profiles that just keep.

104
00:15:21.180 --> 00:15:32.580
Andy Whiteside: Moving that bloated folder back and forth back and forth, and now we got a chance to see it measure it and then see it and then go then go do something about it and that's where this analytic stuff continues to add more value.

105
00:15:32.820 --> 00:15:35.580
Erik Collett: yep yep I couldn't agree more.

106
00:15:36.660 --> 00:15:43.110
Andy Whiteside: Well Eric I appreciate you joining we've covered that topic and based on you know vm world just happening, we will have several more to cover in the weeks ahead.

107
00:15:43.470 --> 00:15:48.300
Erik Collett: Yes, yes, absolutely planning to go from well is not dry.

108
00:15:49.680 --> 00:15:54.540
Andy Whiteside: And you, as promised, I will make sure everybody knows that Eric said we're going to have it in person, next year, so.

109
00:15:54.810 --> 00:15:55.080
yeah.

110
00:15:56.430 --> 00:16:02.460
Erik Collett: pick pinging me i'm good for it and I will see there see you there, regardless of whether it happens or not right.

111
00:16:04.170 --> 00:16:05.070
Andy Whiteside: i'm going to go anyway.

112
00:16:05.370 --> 00:16:06.420
Erik Collett: yeah exactly.

113
00:16:07.470 --> 00:16:08.670
Andy Whiteside: Where the conference was supposed to be.

114
00:16:08.910 --> 00:16:13.800
Erik Collett: yeah will will will i'll meet you there i'll buy buy you a beer or whatever else.

115
00:16:14.670 --> 00:16:18.630
Andy Whiteside: Alright, so I appreciate it, and good luck with the snow I.

116
00:16:19.800 --> 00:16:22.470
Andy Whiteside: i'm a little jealous at the same time i'd be a little apprehensive.

117
00:16:23.640 --> 00:16:25.590
Andy Whiteside: I like to go to this no not live in it.

118
00:16:25.980 --> 00:16:32.910
Erik Collett: yeah yeah that's you know I totally understand, I have my own concern is I scraped my driveway.

119
00:16:34.260 --> 00:16:35.430
Andy Whiteside: Alright, have a good rest your day.

120
00:16:35.760 --> 00:16:37.200
Erik Collett: yeah good to see ya.