hey welcome everyone and thank you for joining cavestick's cloud visibility and cost reduction webinar i'm john cenavsky and i'll be your moderator today for the webinar but before getting started just a couple of housekeeping points please do submit any questions that you may have via the chat window we will try to answer as many as time permits at the end of the session but if there are any we can't get to we'll certainly respond by email also we are recording this webinar and we'll post a copy along with the slides to our website typically this will happen within 24 hours we'll also email you a link to the download location so just a quick introduction to covestick for those who don't know us domestic is a milestone company and we are an elite servicenow partner we've been a partner since 2012 and we take a collaborative consulting approach in multiple servicenow product areas such as itx customer service management security operations plus platform and custom apps our expertise is organized into four practice areas that include consulting staffing managed services and licensing we have an average csat score of 4.75 out of 5 with over 300 servicenow projects deployed and 90 client retention rate so hopefully a few of these logos are familiar with you they become our valued long-term clients if you see similarities in your organization and one or more of these names and if you are from one of these we really thank you for your loyalty and choosing us to guide you as your trusted partner and some introductions so i'm john and i am the convestic servicenow practice lead for the itx domain areas but with me today are three members of my team participating in the panel discussion we have lynn reynolds our senior consultant for itsm scott trumbull our senior solution architect and john message our senior technical consultant and now the heart of our call today what you see on the screen are typical cloud challenges feel they have a lack of visibility into multiple cloud platforms and want to better master this space to be more efficient and cost effective ultimately to maximize the value of their cloud environments the rest of our webinar will address these concerns and provide you with solutions on the servicenow platform so let's now get started over to the team thanks john lynn reynolds here so in talking to our customers we found that many uh of them have virtualized their hosting environments to take advantage of combined compute and automated failover mini started out with vcenter and virtualized their on-prem environments and then recently many of them have moved much of their hosting and storage to the cloud to optimize consumption consumption and take advantage of cloud-based software and sas applications our customers use many cloud solutions such as azure and aws and may also allow specif specific business units to use other solutions such as ibm and google cloud what challenge this creates is that they can no longer see all their cloud usage and spend in one place yeah and i hear you when i'm dealing with uh some of our customers and kind of our their architecture groups uh a lot of people are complaining about the same thing and they have the same kind of struggles between all their companies and they really don't feel like they have control over each of these environments whether they're using all these different environments uh they don't really have control and their leadership doesn't necessarily know what's being deployed out in all of these environments or have any single pane of glass into seeing what they have out there i don't know what are some of the folks you work with what are the leadership doing to to accomplish this today so what we've heard from some of our customers is many receive separate reports from the different systems and have access to separate dashboards for each of their client cloud environments but there's not really a consolidated view the environment appears to be sprawling customers feel they don't have any control over their assets and they can't see where everything is at they also don't have a good way to allocate calls back to the consuming groups currently the bills go directly to i.t why aren't companies just standardizing on one cloud platform john that's a great question different groups are right-sizing solutions to meet their individual business needs and oftentimes prefer different cloud solutions there are strong business cases of why they are doing it this way you want to make it easy for a group to spin up a particular cloud and you don't want to dictate which cloud solution each group needs to use but organizations do want to be able to see everything going on in their it environment in one consolidated view admin typically don't have time to learn how to leverage the dashboards in each one of these cloud spaces or to pull the data together this should be automated somehow you can export the data into spreadsheets but it's not real time and admins don't have time to do this all the time yeah john you know and that's the challenge that's the challenge we we really see depicted here in this in this graphic they have all these different tools out there all of the tools pull stuff into their own depart own environments you know they all have their own management consoles which you mentioned you know and if i'm the cmdb admin just like you mentioned i don't have time to learn how to go to each of these councils and figure out what's going on there it and also people are it's constantly changing right that's the whole nature of the cloud and then the gold this is spinning up stuff's coming down it's happening every day all the time but on the other side you know when you look at the bigger picture the architecture groups and dealing with it when i have all these different repositories of my data you know i don't have a good that i don't have that clear view of the database and i had it's difficult to use those items you know if i'm trying to develop this service oriented architecture and i'm trying to develop my application service and keep track of all the ci's i might have some of that application service leveraged ci's in aws and some of that application service leverage ci's in azure and if i don't have a means to pull them into one place and show the relationships together i i lose that functionality and that just stretches out my uh my mean time to resolution so i get an incident and figuring out all the pieces parts that go into making that application service you know i can have um you know these different repositories and i could get away with maybe some spreadsheets if if i'm a small you know flat organization but any organization of any size and that's doing real time and real work there's just no way from to keep track uh into spreadsheets they're dynamic cloud environments yeah scott this is a real really common problem across a lot of organizations today so i would like to do a quick poll so for those on the call today what cloud environments are you currently using and please do pick all that apply and we'll give that a few minutes oh i see that yeah interesting it looks like we've completed our polling and i'm going to share that with the team here so as we can see wow azure 75 88 with aws but as we can see there is quite a mix across the entire environment scott yeah absolutely i mean at least 75 percent of the people out here have both azure and aws in their environment which happens to work out well because that's what those are the two we're going to look at demoing here today and taking a look at and what servicenow can do in those environments so based on that if everybody's on board let's go ahead and let's take a look at what some of these things look like in servicenow so right now i'm taking a look if everybody can see my screen everybody can see uh i'm taking a look at that the cloud provisioning and governance dashboard in servicenow and this comes along you know if i have my cloud provisioning and governance set up and i'm doing discovery against my cloud and also i'm going to say it here in my virtualized environment where my my vmware stuff as lynn mentioned earlier might still be hosted in-house on esx servers but we kind of lump that together in our virtualized thing so i can see on aggregate here these resources my cloud resources pulled together i could see what's going on in there over time by the resource types right so i could see it here you know getting a spike getting a spike on some of my public cloud resources the types of things that are out there and i can drive into into my environments and all of these are active widgets here on the same page because these are things are coming in from from servicenow things coming in by service now doing discovery on those sources so i look at my aws environments i have the opportunities to go in and kind of filter maybe by the service account so i can see where individual groups what individual groups might be doing and the number of things they're using these are active widgets i can drive in and see the actual details again these are by the individual items where i've taken a look at those but at the higher level i'm seeing all my items rolled up together on my main page and where my trendings and how we're going in that see some more things for azure or similar things for for vmware and what my instances and type of things look like out there again these are all active i can look at my particular data centers or those and and again with azure i have them all rolled up together i have the individual environments and uh one of the things i i think is pretty cool here under under each of these has a widget on it particularly on my virtual machines this widget down here in the corner which i have the ability i can drive into this but i can see exactly what's going on in that environment which things are on which things are off and what's going on there so this is lynn john i have a question for you i see a number of our devices are in an offer paused state do customers get charged for devices and offer paused no actually that's a good thing the team should be turning the machines off when they're not using them they don't get charged when the machines are paused or off and also as scott showed earlier we you see that service count area we can actually even then drill down into a team to see if they're turning the machines off to get the maximum savings that's great yeah and and you know now we're talking about cost and that's really the piece that everybody's that everybody's wanting to talk about everybody to look so when we move out of here and one thing i want to do bring up before we move out of here is is this is pretty real time right so if i'm setting up my notification services i'm setting up with with my aws in the shore as things are retiring and things are getting created i'm going to see them reflected on here within a few minutes at time but we talked about that cost and we talked about what we really want to see here and what what really the drivers of a lot of this conversation are and so what i've done here is i've rolled over and this is part of the cloud insights now looking at the cloud insights dashboard where now i'm taking and pulling in not just am i pulling in the data about what's there out there in these these individual environments uh i could take a look and find out a little bit about what it's costing me you know so this overview tab that we're looking at and everybody's jaw is probably dropping right now and this really kind of showcases these overall trends i'm going to scroll down here a little bit and showcases these overall trends in these environments so this is what's going on currently at the time and there was a few week period in there where wow we really had to drive up in our cost and where those trendings are where things were it's a very slight increase on the other ones you can see there's a slight increase but on these times so we have the ability we could drill into this and drive into that and see where those costs are coming from what groups those are in them what and what specific things are driving those trending you know maybe we were in the middle of a uat testing or performance testing and spinning up uh instances for that two-week period to drive that so that's where we're looking at our overall track our overall cost we can also take a look at our monthly cost time over time so this is how we're going currently in the month and where we're where we're driving at so our current month spend is at 64 000 because we're not all the way through this month yet we're getting this on a regular basis our monthly spends are average about 90 right because we're here in july where we've been our month-to-month spend we're going to get similar kind of things if i wanted to look at say just a particular provider where we're going in there i can drive it in but you know one of the big things is is seeing these costs aggregated together and then jumping over to our last tab the one that's going to make everybody go oh this is this is information we need to talk about and be aware of when i go over into this forecast tab right so now that i'm over into the forecast i can see well we're at 80 grand so far this month we saw last month jumped up to 90 but we had that high peak trend area we could see based on our projections our next month forecast we're going to be at 90 or at 84 by september 92 and well over 100 000 by by the end of the year uh and that's a big deal right these are real numbers these are real things so right now you know we're not if we're starting to pull these things into place our leadership has the information where we can try and start to to do some costing and do some justification and know where we're going and i don't want to be the one going to my leadership and saying i'm going to need another four thousand dollars every month in the cloud costs so where's that going we can drive a little bit into that i'm going to take a look at moving out over into spend optimization again this is another one of the dashboards that comes with servicenow when i have the cloud insights i'm in the service now cloud insights and one of the things i really want to highlight here and i really want to talk about so now we can see where that spend is going where that spend is going by groups by individual owners but i can also see driving on here i have 15 000 of my cloud cost each month that i don't know at this point in time i don't know what i'm paying for that i don't know what systems it supports what groups are using it or what they're doing i don't know if this is valuable i don't know if this is waste so taking a look at when we get into the next space kind of taking a look at these unassigned resources are are what we want one of the things we want to take a look at next scott this is fantastic i love that you can see all the details about each of the environments going back to your uh comment about forecast uh kind of referencing the forecast numbers again can you tell what specifically is driving your monthly increase that we saw a moment ago and how can companies influence those costs yeah well and generally because our our organizations are growing and and we might have things uh you know hopefully you know whatever our products doing we're having to do new things we might be by plan driving our cloud costs forward but the biggest concern of that is is waste when we look at this forecast how much of this how much of this is waste how much of this is real accurate this is providing value to my customers providing value to my internal and external customers so i don't know and you've worked with a lot of people too lynn i mean and with a lot of john out there what do you guys think what percentage of cloud cost of your company's cloud costs or our cloud cost do you think are going to waste you know we've had difficulty getting those figures kind of at hand but uh estimates that i've heard are about 20 are attributable to waste so that's yeah so that's a lot of money so let's go back to our audience here and think about your own cloud environment how much do you think is being wasted today and we'll give that a minute okay i will close the poll and share the data with everyone wow 43 voted on 20 to 30 percent so it's got that's even higher potentially than our original discussion yeah yeah so coming in and coming in you know 20 to 30 percent and and most organizations do kind of picture their their waste and assume their waste is at 20 20 to 30 percent i'm going to hide that poll and we'll talk about industry standards now so idc estimates that 20 to 30 percent of cloud spend is wasted today but when we ask customers at 20 there could be additional 10 on top of that so 30 is pretty fair in terms of the what's not on the client radar today and gartner's view is equally pessimistic if you look at their planning assumption organizations that don't have any form of cloud optimization process in play will overspend about 40 percent so wow so i want to talk just a little bit about that piece right here because this is this is really important to what we're talking about here today john so if i understand this right from the gardener's survey kind of agree with that that organizations think they're wasting about 20. when they do a survey of it they find their waste in about 30 but i think what the gardner studies saying is that if people aren't actively putting in a program if they aren't actively putting in the features the tooling the stuff in place the processes and places to control that cloud waste that it's going to push their overspend up over 40 nearly half of that is nearly half of their monthly cloud spend is gonna just become waste if if they don't have a process and a mechanism for controlling it that's that's egregious very significant thanks scott yeah now i'm gonna i'm gonna turn it back to lynn who's gonna do a deeper dive into this cost breakdown yeah so industry experts have taken a look at the category of waste and really uh organized it into five specific areas the ones that you see on screen so kind of moving from left to right they they break out waste into legacy instances this has to do with cloud solutions that are based on legacy technology perhaps less than optimal cost effect you know uh not optimized cost solutions uh as well as maybe not taking advantage of the best uh pricing and costing options so that's what legacy instances are also unidentified and unused assets so these could be cloud solutions that are running in the environment but we don't know who owns them so it's difficult to go back to that owner to you know fine-tune or identify whether or not that asset is needed so these could be things that are running in the environment that don't need to be there we also have this notion of reserved compute so that's where we have systems that are on but they may not need to be in use that we maybe don't need them in the environment they could be turned off and we also have business hours these could be non-production subproduction environments such as dover tests that don't need to be running 24 hours a day so in fine-tuning those business hours you could actually get uh you could optimize your cloud consumption and and reduce some cost just by the business hours that are set on a particular solution and then lastly we have right sizing and this really refers to cloud solutions that are over provisioned or oversized to meet the need in other words you've put in place a a server or cloud solution that is really has excess capacity that you're not taking advantage of but you're paying for so really waste kind of breaks out into those five areas wow so that brings us into a little bit what we really want to talk about here today so if you don't mind lynn i'm going to go back into taking a look at our servicenow environment and taking a look at cloud insights the cloud insights dashboard in servicenow so hopefully you can see that again and everything and it's up and you could see my my instance up on the screen yep we can see it scott yeah so when i'm looking at the cloud insights dashboard at the very beginning we have that ability so we we looked at those surveys and we looked at some of those things of how those costs are being categorized into different areas and my cloud insight dashboard helps me pull those things together and and show the values and more importantly we're going to talk about be able to take some action on it right so this is not just something where we can talk about it where we can see we can actually do something to resolve these issues so we had already taken a look at the cloud spend and driven into that area and showed how it's broken up where it's coming from we see we have the different the high level costs i know the right sizing the business hours but uh the very first thing i want to drive into and i want to talk about is those unassigned resources right so just looking in this environment right now i have 164 of my cloud resources out there that i don't know who they belong to i don't know what they were spun up to do i don't know what they're connected to and why they're out there so that's that's 20 of my total cost so from our dashboard i'm going to drill into there and try and find out some details about this and use the system to to take some actions on them right so i could see out of these out of my total resources my 20 i have some and we'll talk about policies some that are already assigned and being reviewed and put in place but i'm going to drill into here and just these are these are active dashboards just like the other ones we looked at before i could i could look at them by group by individual things but but i want to take a look at our things overall and i'm going to go into all all these 164 these 24 percent or these 20 and take a look at exactly what i have here so by drilling into here now i'm taking a look at what are all my unassigned resources i can see my list of them on here i can see um what i want to do about it so if i can see some of them where i'm going to take a look and we're going to talk a little bit about these policies we're from some of these i've taken some actions to try and initiate and we could build out our policies in service now to assign ownership to these groups so in this case i've defined this this particular windows server based on coming from aws based on my policy of of uat master uat i've gone ahead and automatically because i've scheduled it in a job i've scheduled it in and i've created it out here i've selected some of these i've driven them out and i've created a change where i can go in and actually institute and update these records in servicenow can we want scott i think we may have lost your audio yeah scott we've lost your audio it's gotta be there everyone we're working through a technical issue and we'll pause for just a second while we get this taken care of hey team can you hear me out there welcome back all right so um i lost my audio i don't know what the last thing you guys heard from me was so you were just about to to demonstrate actioning a change from an unassigned resource based on a policy well i'm going to jump back into the policies here and i apologize for everybody i have no idea i was talking away here and why my microphone and went away and then came back with no actions for me so all right so we've gone into this policy and you've probably seen me have you seen my screen have i been flipping through them and you've been seeing stuff coming up and going yep yep yeah i started to do it like uh to narrate over your your mouse movements but oh that's fantastic it's awesome well i'm gonna go through it really quick again here and and we'll have a chance to look at policies later on so again i have taken i've opened up this policies we can create our policies based on our service accounts right so we can create our service account or we pick our service accounts that created this data being pulled from from our hosting environment we have we then pull in our tag data and our environment tag and in this case whenever our environment tag is dev yeah can you explain the importance of using tags yeah i absolutely can so um each of our hosting environments right each each one of those each of our cloud providers whether it's it's google cloud platform aws azure they have the ability to assign meta tags to our resources when they deployed and most of the tools that people use to develop on there have the ability to script and create these things when they're deployed out there so it's it's really just a key value pair that are deployed on everything out there and one of the things i've been working with a lot of organizations or a couple organizations recently at a higher level cloud architecture is to define a set of standards for and define a set of standards uh for the group and for the um the organization well so whenever anything's get deployed a certain set of names a certain set of tags all get it deployed for it and and they're not only can we use them in here because servicenow discovery has the ability uh to pull these in um we are have the ability to because servicenow has the ability to pull in the discovery to pull these in in the share we have the ability to use these here we can use them in service mapping we can build our maps our service maps based on tags on things and then other areas so on that note is everybody still with me yep we're starting scott all right yeah give me something every now and then if i don't hear it i'll get worried um i'm going to go back over to our our cloud insights dashboard so we talked to right at infinitum about um about the importance first we need to make sure we get things assigned to people and then we can drive in and start doing something about about these other actions these other areas these right sizing and stuff so again at the high level i'm going to drive in i could see the right size i could see 25 000 a month are going to right side or wasted costs on things being over provisioned being larger than they need to be 28 percent of my spend so we were at the rate we were looking at at growing up lynn if i could go back to my boss and say hey i can drive down twenty five thousand dollars i don't have to worry about my cost going up before the end of the year yeah that definitely offsets that four thousand dollar increase we're seeing for sure yeah so i take a look and i drive into this so at the very top level when i go into this i can see my top five recommendations my top five areas for savings um and you know and this is one of the things and we don't necessarily want to fault these these people they're doing it we want to to get involved and give them information up they understand because you know this this machine doing a the logistics you know is who's owning it here and and these people that are doing it they might not be individually overly concerned about it being a 420 a month cost right and when they provision them when they were picking the size to make this and kind of guessing what it was going to need putting that in probably weren't concerned but on aggregate these things really start to add up so and that's where when i take a look and i see all of these items out here and all of these things starting to to to add up and see what the cost is what it's going and that's where i can go in now and start to do some triage uh and to work on lowering these costs and work on the team so i could see my items out here by availab by area i could see what my potential monthly savings is by right sizing these machines by driving them down to the right area of the cost and the right size machine i can select them right in this case i have the opportunity to to schedule a job and what that's going to do is create the changes right we're going to create changes we're not going to drive these these items we're not just going to do stuff we're not just going to make changes we know who the owners are we're going to drive this through our itsm processes of our changes so we we kind of have some recommendations out there that are scheduled and are in place we've created yeah does that recommend that's you know the recommended size out there how is that system determining how is service now to determine that recommended size yeah yeah so that's a really good question so you know what it's looking at and we look at as soon as we connect we start pulling in usage so we're not just pulling in what's out there we're able to pull in usage from these items and and i'm really service now is looking at the system and it's making a determination so it wants if our top we want the top 20 of the usage to never exceed 80 of the availability based on history so if it were an example of let's say i i had a class a machine a family or machine that had a a four gigabyte an eight gigabyte and a 16 gigabyte sizing and we were currently sized at 16 gigabytes well let's say my last 10 days worth of usage my peak usage used 3.9 okay so it's not going to recommend a 4 gigabyte machine because that would put it over 80 it's going to recommend to go to an 8 gigabyte machine okay yeah so again and that's kind of an industry standard where you want your your machines to you know their peak to to consume 80 of their value so we've looked at that and we've looked at the size and the cost and our confidence score also and the confidence how does that determine how is it determining those mediums and lows values yeah uh so two different two different things go into play on that one is the amount of data so if we want something to be high for something to be a high confidence we have to have at least 10 days worth of historical data on usage and we have to be within the same family and generation so in this case you know down here where i'm a low you can see i'm going from a t2 to a t3 so we're we're jumping that whole family in class so our confidence is going to go down lower versus in a medium if if either one of those things have fallen out we're going to if we don't have a good 10 days or we're not the same family generations we might fall to a medium okay yeah so that yeah that goes into it so we have a couple that are already scheduled because we created the job out there to schedule and what it's doing um it's going out there and again we're not doing these things in we're not doing these things to people we're engaging our team but we're giving them the information to need so by doing this i'm creating a change request it's going to follow your organizations change policies change guidelines whether we do a standard or a normal change and these groups that do it they're going to be able to be involved in approving them or rejecting them and if they approve it cool because we're using the cloud insight and governance or the cloud governance and provisioning we can automatically go out and institute these changes we don't have to put it on a task for somebody to do so as soon as we get through the approval process we can we can start realizing these savings and we would see it showing up in our trend back remember that trend we looked up back at the beginning right away now right so yeah there might be reasons why somebody says they could decline it right they might have sized it that way for a reason they know what their job's doing they know what's coming on they might come back and say you know we're telling them the rationale and what's going on there they might decline or change reject the change that's fine perfectly fine that's how we want to engage them so we have the opportunity then we could we could go ahead and take and add that machine to our excluded list so it falls off so it doesn't keep showing up on our dashboard it doesn't keep showing up on our numbers and potential savings if there's a reason we don't want to look at those so we took a look at and we took a a look at the the right sizing and how we can drive back real cost how we can go to our leadership and show how we can drive down costs instead of going every month on how we're gonna be adding cost how we're adding more and more cost to it so we'll take a quick look at unused machines now the process again we see our top five we see what the cost savings on those machines might be if we get rid of them or we spin them down we see the rationale that we're going to use for a change how we add them to a change and those things are running through our change process is exactly the same but these are just machines we're looking to to to turn off based on that yeah so so scott what is the difference between right sizing and unused machines yeah so and that's a really good question and at a very high level if if 20 of the cpu usage if the top if the average top 20 percent of the cpu usage those peaks are less than one percent of the available resources it's going to recommend it as an unused machine right so again just because it's a recommendation we might institute the change process process they might take a look at and say oh no we do need this machine and somebody could come back and say well let's just scale it down to a smaller machine but we're looking at it and the magic is one percent that's that's the difference between whether it's uh recommended as a right size or an unused but we see that a lot organizations see that a ton particularly like their dev environments are doing things or people are doing pocs they spin up the virtual environment that's what we want them to do that's what it's there for but you know things aren't used anymore they've fallen off and we forget that piece of going in and turning that machine off yep cleaning up our waste yeah one of the other areas where we have the opportunity to drive in we don't have a lot of data here in our environment because we have good schedules set up is those business hours yeah if you remember lynn brought that up earlier part of the thing is being able to turn stuff on and off being able to automatically you know using our schedules in our environments in our aws or azure so what we have out here we currently have some good schedules so we don't have anything to show on here but what i do want to show is we have the ability to define policies in here just like we've defined policies so the engine could drive who to assign these things to we could define policies for the system to make recommendations for schedules for us to apply again similar one similar process whether we wanted to just report on it in this case this one is a report so we wanted to just tell us about it that this machine should be in an eight to ten not automatically correct off that change process or i can take a look at here's my rewards processing dev which it is auto scheduled so the key about this is same way i can use my tags that i put on it i can use the idea of the accounts that own it but the cool thing is when i make these changes i will go ahead and i will go ahead based on our predefined schedules and when we approve these changes and move them through i'll institute these floats so they will automatically be turned on and turned off we'll assign those flows to turn those machines on and off on the on those hours cool yeah you know but realistically we're doing uh all right on time i think here i want to take a quick minute and i know we've been talking about our virtual resources a lot on here and we've been talking about keeping control of our spend on our virtual resources so how do we how do we explain this to our leadership how do we provide value how can we lower it how can we get these costs down and then through our cloud insights pulling that data in but there's the other piece of all of our cloud spend and this isn't a big deep dive today but i want to make sure we all know it's aware now i think it's a good topic and we might all have to get together and talk about this again lynn right so we have a couple of things going on in our environment when i and when we're talking about cloud we have those resources that are out there and we have our sas licensing right so now by attaching this by pulling in the data from say our identity provider from octa those type of things we can find out who's actually using their sas licenses right we're paying for all these licenses for for servicenow for sales for us for tableau online whatever it might be we're paying these licenses out there and we can see who's actually using them by pulling in that usage data and again the system make recommendations so we can drive those costs and look at sas license and i really want to schedule an hour to get back with you guys and talk about this a little bit so scott we've spent a fair amount of time talking about how customers can kind of tailor their cloud environment to uh reduce costs and optimize costs i'm assuming there's a kind of a companion idea of uh positively or negatively influencing application and software costs as we make these cloud changes can you talk a little bit about that yeah yeah i'd love to so we talked we talked right here about sas and this is people using their licensing and driving and maybe finding some recommendations on how we can drive it down but the other piece is taking a look at right so if i'm sizing a machine up and down let's say i'm using that machine as that machine is an sap server or that machine's a peoplesoft server or everybody's favorite licensing to to talk about is is oracle so now if i'm using software asset management i got the sam pro when i'm pulling all that data and i'm combining with my cloud i can see what's deployed on that machine and again this is this is a whole topic and we we could talk about a whole sam thing and pulling this together and in this case what i know is this is a change i have made to turn down two processors on this machine so it was a four processor machine so that's one of the right sizing choices that you made right and so because when i did that and i selected how i was going to change the machine this machine i know it has oracle installed on it and a sql server installed on it which sql server licensed by core so if we drilled into that we wouldn't see a change on sql server but oracle licensed by oracle license by processor so i can see by rolling down that change not only am i going to have my virtualized cost change i could have a licensing spend come down of 35 000 a year so that's a significant number on the other side of this and i like this one because everybody wants to show down but we could also be seeing this go up right so if i've got if my change board has gotten a change to replace and show a machine going up in size they have the ability to look at the projections and know well this is going to cost me more in my licensing and where there's probably a good reason for it it just lets people start accounting and doing the bookkeeping and the processing for it so you can see your whole investment cost related to a particular asset yes absolutely so i know we've kind of been driving and kind of gotten a little off track and talked about the in talking about the licensing and the cost on this and talking about you know again driving that cloud spend dashboard and that sam the cloud insights and combining them with software asset management and how we can our next steps to drive down our cost but uh getting back to what we were here to talk about today john yeah thanks god great job thank you um so we started today talking about two key challenges a cloud first strategy and how cloud is making it more complex so first services no longer run in a single data center environment and they're spread out across multiple clouds and on-premise infrastructure so hybrid and we discussed the solution by delivering cloud insights and servicenow you can improve your visibility with the cloud resource dashboard optimize your cloud environment with cloud insights and right size your environment with some key recommendations and secondly there's the problem of out of cloud cost and here we talked about how to manage your cloud cost with servicenow cloud spend dashboard and also address your software license costs so this concludes our presentation today but please do stay tuned for our upcoming webinars where we'll dig much deeper into the software usage data and start managing software span and visibility and license change projectioning so we have a few minutes left here i think we're at 2 46 and i have a few questions in the chat scott so first question uh how long does the cloud insights or servicenow application really have to actually run to provide reliable recommendations really we can start we can really start seeing some value as soon as we get as soon as we get that data and those connections made to to our environment now it's a little bit different whether we're talking about aws or azure you know but really as soon as we get connected particularly with aws when i connect with aws it's going to pull in we're able to pull in that that cpu and memory usage data for the the for 14 days proceeding so we're not having to collect that over time we're going to to to the apis of the product and to pull in this information that's great thanks scott second question i see do i have a do i have to manually enter the cloud invoices or contract or input data to provide cost data or is there a way to import or ingest this data yeah and really that goes right along with the with the with this last question when we make these connections discovery and then cloud insight is uh is pulling that data from the from the sources so it's going to pull it from a azure um really whenever it does updated billing every time the billing data is updated it's going to be pulled from azure for aws i'm pulling it's pulling from the sources those those percentages discount rates the discount tables uh it's comparing those to the actual cost and things so so we're getting you're getting all that data from the provider you're not having to go in and print your invoices or even extract them and load them in csvs or any anything like that oh that's great that's really cool thanks god and next question if i'm already a aws cloud subscriber why can't i just get this info from aws cost explorer why do i really need service now that's a good question uh you could get the information from the thing but it kind of goes back to the area was that where i was talking about earlier in the thing where you can't see all of your things in one consolidated view so if you got if you bring on azure now you have two different places you have to look at and the data is in two different places um and also you don't get the chance to kind of see all that the right sizing the business hours unused machines and then take take those items like scott was showing using those policies and other items to actually action on them within the system right and the other piece i want to add to that is is driving it back to the owners right i could see that machine out there maybe i'm looking at the cloud platform but to see it in my cmdb and know who the owner of that is and those group to be able to engage them through our change process and in getting them adjusted yes that's true okay well that concludes our list of questions unless there's anything else from panel or anywhere else in the chat window today yes scott can you share our contact info oh i sure can let me just click on here one more time yeah so uh for all of the attendees and participants today if you have any additional questions something occurs to you later just reach out to us at servicenow at covestick.com or we'd be happy to talk to you about how to utilize cloud solutions within servicenow to meet your business needs or or if you think of something later you'd like to ask us please feel free to reach out all right well thanks everyone for attending today have a great day