Cloud Cost Simulator – Tokyo
hi everyone this universe product manager itam we're very excited to announce this new feature in tokyo called as cloud cost simulator now we understand that organizations are moving towards the cloud cloud offers more flexibility with less cost and this feature as a name suggests is a simulator that can be used by time managers to simulate the cost on the different cloud providers while they're moving the on-premise resources to the cloud the feature provides enough data points and recommendations that can be leveraged by the active managers while working with different infrastructure teams to plan for a successful and a cost effective cloud migration journey now let's understand the major issues being addressed by this feature item managers want to understand which on-premise workloads could be moved to the cloud and if they are moved to the cloud would lead to the maximum cost savings they want to understand if there are any on-premise low utilization servers that could be moved to the cloud are there any on-premise softwares which are reaching end-of-life and if moved to the cloud could lead to better cost savings or there are any on-premise hardwares which are reaching out of life on which there are virtual machines and if those virtual machines are moved towards the cloud it could lead to the maximum cost savings so they want to have an understanding of these specific questions uh while moving towards the cloud item managers also want to understand which is the most cost effective and optimal cloud to migrate to is it aws is it azure or is it google cloud and while considering uh the most is they want to understand the cost on these different cloud providers as a breakdown of compute storage uh location as well as the softwares on different cloud providers with bringing on licensed cost versus non-bring your license cost so that they can make the most effective decision so this feature tries to address both of these issues now if you understand this feature in more detail and go to the feature brief it's as the name suggests it's a simulator for migrating your workloads to the cloud it provides decision support for migrating workloads to aws and azure as you can see on the screenshot here it can show you the on-premise cost the projected aws cost and the projected azure cost it helps you understand the cost with and without bringing out license as well as it helps determine and provide recommendations to move to the clouds based on factors like end of life softwares or low utilized servers on-prem so as you can see that it helps identify the on-premise resources which if moved to the cloud could lead to better cost savings for the customer as well as it helps identify which cloud is the most cheapest one to move to and you can also see the details about the cost of uh compute the cost of storage as well as uh the cost of softwares while making that decision so you can see that it is tailored towards the need of an item manager the use cases and scope are three the first is end of life software now we know that organizations have got many softwares which are reaching end of life or end of support and this feature would simulate the cost of moving these uh these virtual machines having those software installed to the cloud and while doing that it it takes into consideration the benefits provided by different cloud providers for example ms azure provides free extended security updates for certain microsoft products like sql server 2008 while it's reaching end of flight however aws does not provide that benefit now this feature would showcase uh the cost on aws versus cost on azure so that the sam managers can take the most effective decision the second use case is low utilization we know that organizations have many on-premise virtual machines which are having low u for cpu and ram utilization this feature would simulate the cost of moving those virtual machines to the cloud and recommending right size virtual machines on these cloud providers for example if there's a 32 vcpu machine on prem on premise and its utilization is very low it would probably recommend a four c vcu machine on the cloud and this would lead to more cost savings for the customer and the third use case is end-of-life hardware wherein organizations have virtual machines residing on hardware which is reaching end of life and this feature would simulate the cost of moving those vms to the different cloud providers so you can see that there are three use cases in scope now if you want to understand the feature in bit more detail it's tailored to the needs and use cases of the item manager that a manager can not only understand the cost of infrastructure the cost of software uh but also see the cost of software with bringing our license and without bringing our license so that they can take the most effective decision the feature provides automated recommendations to the item manager to move the on-premise resources to the cloud and this automated recommendations are based on end-of-life hardware end-of-life software and low utilization the i-time managers get more flexibility to perform what-if analysis and create their own criteria suppose they just want to see the cost of moving a particular cluster to the cloud they can just select that particular criteria and the feature would showcase the cost of moving that particular cluster to the cloud in addition they can provide more criteria such as if they want to see the cost of of the cloud on a particular region or on a particular storage type they can mention that as a criteria and this and the feature would automatically determine the most cost optimal virtual machine that aligns to those criteria so it provides more flexibility it provides a comparative view of the projected cost on premise versus the most optimal cost on different cloud providers so we have got a very optimized matching algorithm and based on the criterias that are specified by the item manager the feature would provide the most cost optimal virtual machine on the different cloud providers which suffices to those criterias laid out by their time managers and this helps ida managers to make the right decision it provides extended visibility now the ita manager knows the total cost but they would want to know what is the cost of compute what is the cost of storage what is the cost on on the software so the breakdown of the cost is also provided per virtual machine so that the sam manager can drill down into more details and take the rightful decision in addition it provides for a confidence score which is the confidence score provided by servicenow sam on that particular virtual machine for different cloud providers so that the item manager can determine uh the confidence of moving a particular virtual machine to the cloud and make that rightful decision and lastly [Music] from the feature itself the iodine manager can open up a change request so actually enable actual cloud migration so that's uh all the features in detail as you can see here now let's understand the flow before we move towards the demo now we understand uh that the feature would provide recommendations but the item manager can also determine their own criteria on on-premise based on which they would want to simulate the cost of moving to the cloud now based on those criterias the the feature would automatically filter out the on-premise virtual machines which suffice to that criteria and on those filtered on-premise virtual machines servicenow sam is going to run its matching algorithm where it's going to determine the most cost-effective virtual machine based on factors like instance type series ram size instance vcpu the location and price which is the most cost effective virtual machine which matches to the virtual machine as per the criteria of the item manager and it would showcase the cost on premise versus the cloud cost and recommend the cheapest virtual machines on the cloud with the cost for compute storage and and software so that data managers not only get the cost of on-prem and the cloud in one view but they can also drill down and understand the details about the different cost categories and let's say the item manager is now satisfied that they want to move to aws or azure for a particular virtual machines or a particular cluster they can just select that particular cluster or virtual machine and initiate change request directly from the feature and the change request will be created and once the change request is created that managers can take the next step which is actually performing cloud migration wherein they will have to work with the infrastructure team to actually perform the cloud migration so that's the feature in a nutshell let's understand this in a demonstration so i'm into sam workspace and i'm into software asset analytics i've logged in as a sam manager and i can go to publisher optimization and first thing is that i see cloud migration recommendations so these are the recommendations that servicenow sam has automatically found out on your on-premise workloads so there is recommendations on hardware end of life software end of life and low utilization as a sam manager i can click on the software end of life recommendations and these are the on-premise virtual machines residing on this particular server and this particular cluster which are having uh softwares like sql server 2008 which is reaching end of life and the service now sam is automatically recommending to move these to the cloud uh specifically azure so that you can get the free extended security benefits that azure provides so i can select those particular virtual machines and create a change request directly from uh this recommendation so as a sam manager these recommendations are really helpful uh to determine what are the uh most uh cost savings that i could get uh based on hardware end of life software end of life and load realization uh which if moved to the cloud can lead to maximum cost savings for the sam manager now as a sam manager would want to get more flexibility so i can go to cloud cost simulator and you can see that i can select my on-premise recommendation criteria so if i want to for instance uh just just uh have a particular cluster move to the cloud and just simulate the cost of moving this particular cluster to the cloud i can see select that particular cluster and apply the filter and what sam manage what this feature does it will determine all the virtual machines under this cluster and determine the cost of on-premise versus the projected aws costs and projected azure cloud cost just for this particular cluster and you can see that uh the cost is uh uh for with the vial and without bevel both for aws and azure and uh there are seven asset records on premise which which match to this particular filter criteria now i can just remove this particular criteria because i don't require it for now and you can see that i can select other criterias for soft end of life low utilization and for a particular software as well so based on these particular criterias the feature will determine the most cost effective virtual machines on premise uh and on azure and aws which suffice to these particular criteria now you can see here that i can see the on-premise cost which is the cost of capex plus opex now capex includes a one-time capex cost which is the hardware cost and the opex includes operational costs such as the maintenance cost the labor cost and so on and this is also calculated and showcased here you can see the projected aws cost with and without bringing on license benefits the number of vms uh which matched to the vms on-prem so you can see that there are 34 virtual machines on-premise which match to the 34 virtual machine types on aws and uh this matching algorithm is an algorithm which determines the most cost effective virtual machines on aws which matches to the on-premise vms on-prem and while calculating the most cost-effective virtual machines several different criterias are evaluated such as the vcpu the ram uh the storage the price the software price and so on and based on all the different criterias service now determines the most cost-effective virtual machines on aws which matches to the virtual machines on premise and you can see that other details are mentioned such as bvl is not supported for windows server because it doesn't have license mobility benefits similarly i can see the projected azure cost as well now as a sam manager if i want to understand more details and click on the details which shows me the details about the on-premise virtual machines and the details about the aws instance which matched to the on-premise virtual machine so in here you can see that this particular vm which is hosted on this particular server having sql server 2017 standard has got uh about four vcpu and the capex and opex cost is mentioned and uh this is the aws instance type to which it closely matches to and this is the aws total cost and while selecting this particular instance type as as i just mentioned several different factors such as vcpu region storage uh the software cost etc is considered and based on all those different criterias uh the most cost effective instance type is selected for this particular virtual machine now as a sam manager i could add more details to understand what is the cost what is the aws os cost what is the aws sql cost and so on and so forth and based on all these details i can understand the details in in more detail to understand what is the breakdown of all this particular cost now uh i can move down and i can see the recommendation details which showcases the cost of uh the vm uh the the software the on-premise cost but it also showcases the cost on aws as well as azure side by side and this is an important view because then you can compare the cost for each virtual machines on different cloud providers so you can see here that uh the cost for this particular virtual machine of having sql server 2008 17 standard installed and having vcpu of four [Music] the instance type selected on azure is d16 sv4 and on aws it is t3 8.2 x large and this is the azure cost and this is the aws cost here again i can add more details such as what is the aws os cost aws sql cost what is aws infra cost what is the confidence score what is the azure cost and so on and so forth and this helps the sam manager to understand more details and drill down into the total cost to understand the details about the cost of compute the cost of the operating system the cost of the software in this case sql server as well as the cost of storage and helps them make the right decision now let's say i as a sam manager i am i've decided to move to a particular cloud provider so i can just select the particular virtual machines that i would want to move to the cloud and just click on create change request and what the feature does as you can see here is that it creates a change it goes directly for these three v virtual machines so this provides more power to the item managers to create change requests directly from the feature set rather than going to the change management module and creating from there so uh as you can see that this feature is a simulator to simulate the cost removing your on-premise workloads to different cloud providers understand the cost on different cloud providers compare that to the cost on-prem and also understand the details about how the cost got computed what is the cost of compute what is the cost of storage what is the cost of the operating system what is the cost of the software installed on there so that as an item manager i could make the right decision to move to the cloud now there is more flexibility in terms of what-if analysis to give more control to the sam manager so you could go to license operations here and just move to cloud cost simulator settings and provide more uh details if you want to see uh the cost on a particular azure region on a particular azure category or on azure storage option and similarly you can do it for aws as well and based on these settings the matching logarithm will determine the most cost effective virtual machine on these particular regions or storage options and showcase that to the item manager so that they can make the rightful decision to move to a specific cloud provider in a specific region and for a specific storage option or a specific azure vm category so you can see here that more flexibility and more control is there with the item manager so that they can simulate the movement to the cloud and take the most rightful decision while moving uh to uh to a different cloud provider uh which would eventually help them plan for a successful and unoptimal cloud migration journey so that was all about cloud cost simulator please let us know if there's any questions thank you
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