Latest / The Cloud Business Podcast with Fexingo: AWS, Azure, GCP, and Enterprise Infrastructure / How Cloud Bills Now Meter Your Load Balancer Request Paths
Transcript
- Lucas: So there's this quiet shift happening in how cloud providers charge for load balancers, and it's not the usual per-hour or per gb model everyone's used to. Luna: I thought load balancers were pretty straightforward. You pay for the instance hours or the amount of data that flows through them. Lucas: That used to be the case, but now providers are starting to meter the actual request path. I'm talking about the URL path, the headers, sometimes even the client IP. They're charging you based on how many requests hit specific routes. Luna: Wait, so a request to /api/users and a request to /health check might be billed differently? Lucas: Exactly. In some of the newer pricing models, you're seeing per-request fees that vary depending on the path. A request to a heavy endpoint that does a lot of routing or processing costs more than a simple static file request. And it's not just the big three cloud providers — even smaller ones are starting to experiment with this. Luna: That feels like a move toward even more granular usage-based pricing. What's driving it? Lucas: Part of it is that load balancers have become more intelligent. They're doing content-based routing, TLS termination, and even WAF integrations. Providers argue that these features are compute-intensive, so they should be priced accordingly. But for enterprises, it's a new variable to manage. Luna: So the load balancer used to be a flat cost, and now it's turning into this itemized list of charges based on what's being routed where. Lucas: Right. And the interesting part is how this interacts with your architecture. If you've built a microservices setup where everything goes through a single ingress or API gateway, your request paths are now a cost driver. That's a big deal. Luna: I've seen companies route absolutely everything through one load balancer to keep things simple. That could become expensive fast. Lucas: Yeah, especially if you have a lot of internal service to service calls. But before we go deeper into mitigation strategies, I want to step back for a second. If these conversations about cloud costs and architecture are useful for what you're building or running, we've got a listener-supported show here. No advertisers, no sponsors. Just the two of us digging into what's actually changing in the industry. If you find value in that, you can support the show at buy me a coffee dot com slash fexingo. That's buy me a coffee dot com slash f e x i n g o. It genuinely keeps this going and helps us keep the episodes free for everyone. Luna: And it's a low-key way to say thanks. We don't do shout-outs or special perks, it's just a kind gesture that keeps the show ad-free. Lucas: So back to the request path pricing. What are the practical moves? First, you want to separate traffic types. Don't mix your public API with your internal health checks on the same load balancer if you can avoid it. Luna: Because health checks hit every thirty seconds, and if they're counted as requests, that's a lot of metered events. Lucas: Exactly. A classic health check configuration might hit the same path over and over. Under per-request pricing, that's a recurring charge. And if you have hundreds of instances behind the balancer, the requests add up. Luna: What about caching? Does that help reduce the number of requests that actually hit the load balancer? Lucas: It can. If you put a content delivery network in front and cache aggressively, you're offloading requests that would otherwise route through the load balancer. That's a direct way to lower your metered request count. Luna: But for dynamic APIs, caching isn't always possible. You might have to re-architect how your clients talk to you. Lucas: Right. And that's where you might start thinking about API grouping. Instead of exposing hundreds of endpoints, you could consolidate or use a more coarse-grained API. That reduces the number of distinct paths, which might simplify your cost exposure. Luna: But doesn't that go against the grain of microservices and fine-grained APIs? Lucas: It's a trade-off. The point isn't to rip out your architecture. It's to understand that request paths are now a cost lever. You want to be deliberate about how you structure them. Luna: Have you seen any real-world examples of companies getting stung by this? Lucas: There was a case a few months back where a company noticed their cloud bill jump after they shifted to a new load balancer pricing tier. They were doing a lot of real-time event streaming, and every event was a separate request. The per-request fee on a high-traffic path wiped out the savings they'd gotten from moving to a cheaper compute instance. Luna: Ouch. So it's not just about the load balancer cost itself. It can undermine your other cost optimization efforts. Lucas: Exactly. And that's why you need visibility. Most providers now give you metrics per request path, but you have to enable them and actually look. You might find that a seemingly harmless endpoint is generating 80 percent of your load balancer charges. Luna: And that's a classic example of where FinOps practices really pay off. Lucas: Absolutely. I think the broader trend here is that cloud pricing is moving from capacity-based to usage-based everywhere. We've seen it with database connections, with container registry pulls, and now with load balancer request paths. It's part of a bigger shift. Luna: And it puts more pressure on teams to design with cost in mind from the start. Lucas: That's the key takeaway. You can't just think about performance and reliability when you're choosing a load balancer or an API gateway. You also have to think about how your request patterns will show up on the bill. Luna: So what's the first step someone should take today to get a handle on this? Lucas: Look at your load balancer metrics and see if your provider is giving you per-path breakdowns. If they are, start examining which paths are driving the most requests. You might be surprised. Luna: And if they're not, maybe it's time to ask your account manager why not. Lucas: Or consider using a third-party tool that can infer request counts from logs. There are ways to get this data even if it's not directly exposed. Luna: It seems like the era of the load balancer as a fixed cost is coming to an end. Lucas: It does feel that way. And for teams that are prepared, it's an opportunity to optimize. For those that aren't, it's a potential budget risk. I'd rather be in the first group. Luna: Same here. Well, that's a solid wrap for today. Thanks for listening, and we'll catch you next time on the Cloud Business Podcast. Lucas: Take care, everyone.