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Corey: This episode is sponsored in part byLaunchDarkly. Take a look at what it takes to get your code into production. I’m going to just guess that it’s awful because it’s always awful. No one loves their deployment process. What if launching new features didn’t require you to do a full-on code and possibly infrastructure deploy? What if you could test on a small subset of users and then roll it back immediately if results aren’t what you expect? LaunchDarkly does exactly this. To learn more, visitlaunchdarkly.com and tell them Corey sent you, and watch for the wince.
Jesse: Hello, and welcome to AWS Morning Brief: Fridays From the Field. I’m Jesse DeRose.
Amy: I’m Amy Negrette.
Tim: And I’m Tim Banks.
Jesse: This is the podcast within a podcast where we talk about all the ways we’ve seen AWS used and abused in the wild with a healthy dose of complaining about AWS for good measure. Today, we’re going to be talking about a recent addition to the AWS family: AWS Application Cost Profiler.
Tim: But hold on for a second, Jesse, because AWS Application Cost Profiler we can get to; that’s rather unremarkable. I really want to talk about how impressed I am with AWS InfiniDash. I’ve been benchmarking this thing, and it is fan… tastic. It’s so good. And we could probably talk about for a while, but suffice to say that I am far more impressed with AWS InfiniDash than I am with AWS Application Cost Profiler.
Jesse: You know, that’s fair. And I feel like InfiniDash should absolutely get credit where credit is due. I want to make sure that everybody can really understand the full breadth of everything that InfiniDash is able to accomplish. So, I want to make sure that we do get to that; maybe in a future episode, we can touch on that one. But for right now, I have lots of feelings about AWS Application Cost Profiler, and what better place to share those feelings than with two of my favorite people, Amy and Tim, and then all of you listeners who are listening in to this podcast. I can’t wait to dive into this. But I think we should probably start with, what is AWS Application Cost Profiler?
Amy: It is [unintelligible 00:01:54] in a trench coat.
Jesse: [laugh].
Amy: Which is the way AWS likes to solve problems sometimes. And in this case, it’s talking about separating billing costs by tenants by service, which is certainly a lot of things that people have problems with.
Jesse: That is a lot of buzzwords.
Amy: A lot of words there.
Jesse: Yeah. Looking at the documentation, the sales page, “AWS Application Cost Profiler is a managed service that helps us separate your AWS billing and costs by the tenants of your service.” That has a lot of buzzwords.
Tim: Well, to be fair, that’s also a majority of the documentation about service.
Jesse: Yeah, that is fair. That is a lot of what we saw, and I think we’ll dive into that with documentation in a minute. But I do want to call out before we dive into our thoughts on this service—because we did kick the tires on this service and we want to share what our experience was like, but I do want to call out that this problem that AWS Application Cost Profiler is trying to solve. This idea of cost allocation of shared resources, it is a real, valid problem and it is one that is difficult to solve.
Amy: And we’ve had clients that have had this very explicit problem and our findings have been that it’s very difficult to accurately splice usage and spend against what’s essentially consumption-based metrics—which is how much a user or request is using all the way along your pipeline—if they’re not using dedicated resources.
Jesse: Yeah, when we talk about cost allocation, generally speaking, we talk about cost allocation from the perspective of tagging resources, broadly speaking, and moving resources into linked accounts and separating spend by linked accounts, or allocating spend by linked accounts. But if you’ve got a shared compute cluster, a shared database, any kind of shared resources where multiple tenants are using that infrastructure, slapping one tag on it isn’t going to solve the issue. Even putting all of those shared resources in a single linked account isn’t going to solve that issue. So, the problem of cost allocation for shared resource is real; it is a valid problem. So, let’s talk specifically about AWS Application Cost Profiler as a solution for this problem. As I mentioned, we kicked the tires on this solution earlier this week and we have some thoughts to share.
Tim: I think one of the main things around this AWS Application Profiler like I said, there’s some problems that can be solved there, there’s some insights that people really want to gain here, but the problem is people don’t want to do a lot more work or rewrite their observability stack to do it. The problem is, that’s exactly what AWS Cost Profiler seems to be doing or seems to want you to do. It doesn’t get data from, I think it only gets data from certain EC2 services, and it’s just, it’s doing things that you can already do in other tools to do aggregation. And if I’m going to do all the work to rewrite that stack, to be able to use the Profiler, am I going to want to spend that time doing something else? I mean, that kind of comes to the bottom line about it.
Jesse: Yeah, the biggest thing that I ran into, or that I experienced when we were setting up the Cost Profiler, is that documentation basically said, “Okay, configure Cost Profiler and then submit your data.” And [unintelligible 00:05:54] stop, like wait, what? Wait, what do you mean, ‘submit data?’ And it said, “Okay, well now that you’ve got Cost Profiler as a service running, you need to upload all of the data that Cost Profiler is going to profile for you.” It boggles my mind.
Tim: And it has to be in this format, and it has to have these specific fields. And so if you’re not already emitting data in that format with those fields, now you have to go back and do that. And it’s not really solving any problems, but it offers to create more problems.
Amy: And also, if you’re going to have to go through the work of instrumenting and managing all that data anyway, you could send it anywhere you wanted to. You could send it to your own database to your own visualization. You don’t need Profiler after that.
Jesse: Yeah, I think that’s a really good point, Amy. AWS Cost Profiler assumes that you already have this data somewhere. And if not, it explicitly says—in its documentation it says, to generate reports you need to submit tenant usage data of your software applications that use shared AWS resources. So, it explicitly expects you to already have this data. And if you are going to be looking for a solution that is going to help you allocate the cost of shared resources and you already have this data somewhere else, there are better solutions out there than AWS Application Cost Profiler. As Amy said, you can send that data anywhere. AWS Application Cost Profiler probably isn’t going to be the first place that you think of because it probably doesn’t have as many features as other solutions.
Amy: If you were going to instrument things to that level, and let’s say you were using third-party services, you could normalize your...
Transcript
Corey: This episode is sponsored in part byLaunchDarkly. Take a look at what it takes to get your code into production. I’m going to just guess that it’s awful because it’s always awful. No one loves their deployment process. What if launching new features didn’t require you to do a full-on code and possibly infrastructure deploy? What if you could test on a small subset of users and then roll it back immediately if results aren’t what you expect? LaunchDarkly does exactly this. To learn more, visitlaunchdarkly.com and tell them Corey sent you, and watch for the wince.
Jesse: Hello, and welcome to AWS Morning Brief: Fridays From the Field. I’m Jesse DeRose.
Amy: I’m Amy Negrette.
Tim: And I’m Tim Banks.
Jesse: This is the podcast within a podcast where we talk about all the ways we’ve seen AWS used and abused in the wild with a healthy dose of complaining about AWS for good measure. Today, we’re going to be talking about a recent addition to the AWS family: AWS Application Cost Profiler.
Tim: But hold on for a second, Jesse, because AWS Application Cost Profiler we can get to; that’s rather unremarkable. I really want to talk about how impressed I am with AWS InfiniDash. I’ve been benchmarking this thing, and it is fan… tastic. It’s so good. And we could probably talk about for a while, but suffice to say that I am far more impressed with AWS InfiniDash than I am with AWS Application Cost Profiler.
Jesse: You know, that’s fair. And I feel like InfiniDash should absolutely get credit where credit is due. I want to make sure that everybody can really understand the full breadth of everything that InfiniDash is able to accomplish. So, I want to make sure that we do get to that; maybe in a future episode, we can touch on that one. But for right now, I have lots of feelings about AWS Application Cost Profiler, and what better place to share those feelings than with two of my favorite people, Amy and Tim, and then all of you listeners who are listening in to this podcast. I can’t wait to dive into this. But I think we should probably start with, what is AWS Application Cost Profiler?
Amy: It is [unintelligible 00:01:54] in a trench coat.
Jesse: [laugh].
Amy: Which is the way AWS likes to solve problems sometimes. And in this case, it’s talking about separating billing costs by tenants by service, which is certainly a lot of things that people have problems with.
Jesse: That is a lot of buzzwords.
Amy: A lot of words there.
Jesse: Yeah. Looking at the documentation, the sales page, “AWS Application Cost Profiler is a managed service that helps us separate your AWS billing and costs by the tenants of your service.” That has a lot of buzzwords.
Tim: Well, to be fair, that’s also a majority of the documentation about service.
Jesse: Yeah, that is fair. That is a lot of what we saw, and I think we’ll dive into that with documentation in a minute. But I do want to call out before we dive into our thoughts on this service—because we did kick the tires on this service and we want to share what our experience was like, but I do want to call out that this problem that AWS Application Cost Profiler is trying to solve. This idea of cost allocation of shared resources, it is a real, valid problem and it is one that is difficult to solve.
Amy: And we’ve had clients that have had this very explicit problem and our findings have been that it’s very difficult to accurately splice usage and spend against what’s essentially consumption-based metrics—which is how much a user or request is using all the way along your pipeline—if they’re not using dedicated resources.
Jesse: Yeah, when we talk about cost allocation, generally speaking, we talk about cost allocation from the perspective of tagging resources, broadly speaking, and moving resources into linked accounts and separating spend by linked accounts, or allocating spend by linked accounts. But if you’ve got a shared compute cluster, a shared database, any kind of shared resources where multiple tenants are using that infrastructure, slapping one tag on it isn’t going to solve the issue. Even putting all of those shared resources in a single linked account isn’t going to solve that issue. So, the problem of cost allocation for shared resource is real; it is a valid problem. So, let’s talk specifically about AWS Application Cost Profiler as a solution for this problem. As I mentioned, we kicked the tires on this solution earlier this week and we have some thoughts to share.
Tim: I think one of the main things around this AWS Application Profiler like I said, there’s some problems that can be solved there, there’s some insights that people really want to gain here, but the problem is people don’t want to do a lot more work or rewrite their observability stack to do it. The problem is, that’s exactly what AWS Cost Profiler seems to be doing or seems to want you to do. It doesn’t get data from, I think it only gets data from certain EC2 services, and it’s just, it’s doing things that you can already do in other tools to do aggregation. And if I’m going to do all the work to rewrite that stack, to be able to use the Profiler, am I going to want to spend that time doing something else? I mean, that kind of comes to the bottom line about it.
Jesse: Yeah, the biggest thing that I ran into, or that I experienced when we were setting up the Cost Profiler, is that documentation basically said, “Okay, configure Cost Profiler and then submit your data.” And [unintelligible 00:05:54] stop, like wait, what? Wait, what do you mean, ‘submit data?’ And it said, “Okay, well now that you’ve got Cost Profiler as a service running, you need to upload all of the data that Cost Profiler is going to profile for you.” It boggles my mind.
Tim: And it has to be in this format, and it has to have these specific fields. And so if you’re not already emitting data in that format with those fields, now you have to go back and do that. And it’s not really solving any problems, but it offers to create more problems.
Amy: And also, if you’re going to have to go through the work of instrumenting and managing all that data anyway, you could send it anywhere you wanted to. You could send it to your own database to your own visualization. You don’t need Profiler after that.
Jesse: Yeah, I think that’s a really good point, Amy. AWS Cost Profiler assumes that you already have this data somewhere. And if not, it explicitly says—in its documentation it says, to generate reports you need to submit tenant usage data of your software applications that use shared AWS resources. So, it explicitly expects you to already have this data. And if you are going to be looking for a solution that is going to help you allocate the cost of shared resources and you already have this data somewhere else, there are better solutions out there than AWS Application Cost Profiler. As Amy said, you can send that data anywhere. AWS Application Cost Profiler probably isn’t going to be the first place that you think of because it probably doesn’t have as many features as other solutions.
Amy: If you were going to instrument things to that level, and let’s say you were using third-party services, you could normalize your...
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