Latest / The Cloud Business Podcast with Fexingo: AWS, Azure, GCP, and Enterprise Infrastructure / Why Enterprise Cloud Contracts Now Include Data Egress Credits
Transcript
- Lucas: So there's a quiet shift happening in enterprise cloud contracts, and it's around something most companies used to just swallow: data egress fees. Luna: Egress — that's the cost to move data out of a cloud provider's network, right? Historically one of the stickiest charges. Lucas: Exactly. And for years, the big three — AWS, Azure, Google Cloud — treated egress as a profit center. But now, some of them are starting to offer credits or waivers for large-scale data transfers. Luna: Is this a genuine shift in pricing philosophy, or just a concession for the biggest spenders? Lucas: Bit of both. But the trend is real enough that we're seeing dedicated clauses in enterprise agreements — what some are calling 'data egress credits.' Lucas: Take Google Cloud. Last year, they introduced a program where if you're moving data to a third-party data center — not another cloud provider — they'll waive the egress fees for the first 10 terabytes per month. That's a direct response to complaints about lock-in. Luna: And AWS? I know they've historically been the most aggressive on egress pricing. Have they budged at all? Lucas: They have, quietly. AWS now includes something called the 'Data Transfer Out Credit' in some enterprise deals. It's not widely advertised, but it's there — typically percentage-based credits for customers who commit to certain transfer volumes. Luna: What kind of thresholds? Because I imagine you need to move serious data to even get their attention. Lucas: Right. From what we've seen, you're looking at minimum 10 to 50 terabytes per month of outbound data, often across multiple regions. And it's usually part of a larger negotiated agreement that includes compute and storage commitments. Luna: So it's not something the average startup can tap into. But for enterprises running AI training pipelines or multi-cloud architectures, that could be meaningful. Lucas: That's exactly the use case. AI training particularly — you might have data in one cloud, but you want to run inference in another, or you need to move training data to a specialized GPU cluster. Those egress costs can add up to millions. Lucas: One large financial services client we spoke with — they moved about 200 terabytes per month out of AWS to a co-location facility. Their egress bill was over $800,000 a year. They got a 30 percent credit after renegotiating, saving roughly a quarter million. Luna: That's not chump change. And that credit likely didn't appear in the first draft of the contract. Lucas: No. It took a procurement team that knew what to ask for. And that's the thing — these credits aren't standard. They're negotiated, and they're usually tied to specific conditions. Luna: What conditions? Give me the fine print. Lucas: Common ones include: the credit only applies to data transferred to non-cloud destinations — like on-premises or co-lo — not to another cloud provider. Also, you typically have to use the provider's own networking services, like AWS Direct Connect or Azure ExpressRoute, to qualify. Luna: So you still need to pay for private connectivity. That's not exactly a free pass. Lucas: Right. And the credit is often capped at a percentage of your total egress spend, say 20 or 30 percent. So you're still paying something, but it's reduced. Lucas: What's interesting is that Microsoft Azure has been the most aggressive on this front. They now offer something called the 'Azure Data Transfer Discount Program' for enterprise agreements. It's a tiered discount based on your total outbound data volume across all services. Luna: And that's published? Or only for negotiated deals? Lucas: It's published in their enterprise agreement documentation, but the actual discount rates are negotiated. The baseline is around 10 percent for customers moving over 100 terabytes a month, but we've seen up to 40 percent for really large transfers. Luna: So the market is moving. And it's probably driven by the fact that enterprises are getting more sophisticated about cloud costs — and pushing back. Lucas: Absolutely. The cloud market is maturing. Providers realize that if they don't offer competitive egress terms, they risk losing deals to providers who do — or worse, losing customers to repatriation. Luna: And data egress is one of the most visible pain points. It's not like compute where you can optimize instance types. Egress is just a per-gigabyte charge that adds up. Lucas: Exactly. And it's become a symbol of lock-in. So giving credits on egress is a way for providers to signal, 'We're not trying to trap your data.' Lucas: But there's also a practical driver: more enterprises are building multi-cloud and hybrid architectures. They're not going to put all their data in one place. Providers have to accommodate that reality. Luna: So for the listener who's in an enterprise IT procurement role — what should they ask for at the next contract renewal? Lucas: First, quantify your current and projected monthly egress by destination. If it's above 10 terabytes, you have leverage. Then ask for a dedicated 'Data Transfer Credit' clause. The language should specify which services are eligible, destinations, and the credit percentage. Lucas: Also, ask if the credit can be applied to future spend, not just offset against the egress charge itself. Some providers allow that, which gives you more flexibility. Luna: And don't forget to benchmark. If one provider offers you 20 percent, you can take that to a competitor and see if they'll match or beat it. Lucas: Exactly. That kind of competitive pressure is what drove this trend in the first place. And it's only going to accelerate as data volumes keep growing. Lucas: Now, we should note that not all egress is created equal. Moving data to a co-lo facility is cheaper for the provider than moving it to another cloud. So credits tend to be more generous for co-lo or on-prem destinations. Luna: Makes sense. The providers still want to discourage routing traffic to a direct competitor. Lucas: Right. And some contracts explicitly exclude transfers to rivals. But if you're using multiple clouds for different workloads, you can still negotiate — just be prepared for a harder conversation. Luna: I want to pivot slightly — because this conversation about egress credits is really about who holds the leverage in cloud contracts. And I think the listener might be wondering: is this just for the hyperscaler whales, or can anyone benefit? Lucas: That's a great point. And honestly, if today's episode was worth a coffee to you — whether you're at a startup or a Fortune 500 — we'd appreciate it if you'd support the show at buy me a coffee dot com slash fexingo. Just a small way to keep these conversations coming. Luna: Yeah, we keep the show ad-free, and listener support is what makes that possible. So if you find value here, that's the link. Lucas: Back to leverage then. The reality is, even mid-market enterprises with 50 to 100 terabytes of egress per month can negotiate credits. It's about packaging it with your overall spend commitment. Luna: So it's not just about egress volume — it's about total contract value. Providers are more willing to give on egress if you're spending millions on compute. Lucas: Exactly. Egress credits are often a concession to close a larger deal. But if you don't ask, you won't get it. And now you have benchmarks to know what's reasonable. Luna: I think the takeaway here is that data egress is no longer a fixed cost. It's negotiable, and the market is moving in the buyer's favor — at least for now. Lucas: Yeah. And as AI workloads generate more data movement, I expect these credits to become more standardized. The question is whether providers will preemptively lower egress rates or keep them high and offer credits selectively. Luna: I'm betting on selective credits for a while longer. But the trend line is clear. Lucas: Agreed. Thanks for listening — we'll be back with another episode soon.