The cost nobody expects
Most teams understand AWS compute and storage pricing before they launch. You choose instance sizes, storage types, and regions, then estimate monthly spend. Everything feels under control.
The surprise usually comes later.
As traffic grows and applications mature, AWS bills often jump in ways that are hard to explain at first. In many cases, the cause is outbound data transfer. AWS egress fees quietly become one of the largest line items on the bill.
This is a common shock moment for teams running production workloads in AWS.
In simple terms, what are AWS egress fees?
AWS egress fees are charges applied when data leaves the AWS network.
Any time data is sent from AWS to the public internet, another cloud provider, or back to on-premises systems, it counts as outbound traffic. AWS charges for this on a per-GB basis.
Inbound traffic is usually free. That is why many teams do not notice egress costs at first. The issue only appears once real users and real data volumes are involved.
Once data leaves AWS, it becomes chargeable.
When AWS data transfer costs apply
AWS data transfer costs apply in more situations than most people expect.
You are typically charged when:
- Data is sent from AWS to users over the public internet
- Data is transferred between AWS regions
- Data is moved from AWS back to on-prem environments
- Third-party services pull data from AWS for backups, analytics, or integrations
The rule is simple.
If data leaves AWS, it is likely chargeable.
How AWS outbound traffic costs are priced
AWS outbound traffic is priced on a usage basis. You are charged per GB of data transferred out, with tiered pricing that slightly reduces the unit cost as volume increases. On paper, this sounds reasonable. In practice, it causes problems.
As traffic grows, total spend grows with it. Even when the price per GB drops, the total bill continues to climb. For teams with steady growth, this creates a cost curve that rises month after month without any change to infrastructure size.
Forecasting becomes difficult. Finance teams struggle to predict spend accurately because usage directly drives cost. A SaaS platform serving dashboards to thousands of users every day will feel this quickly.
Why AWS egress fees scale badly
This is where it starts to hurt.
Modern applications move a lot of data. Every page load, API call, image, and dashboard pulls data out of the platform. As users increase, outbound traffic increases automatically. Backups, replication, monitoring, and analytics add even more outbound usage in the background.
The result is straightforward. Traffic grows. Costs grow with it.
For finance teams, this means unpredictable monthly bills. For technical teams, it is hard to reduce costs without changing the architecture. This is rarely due to misuse. It comes from how the pricing model works.
Are AWS egress fees always a problem
No. For low-traffic workloads or early-stage products, egress fees may be minimal. Many teams run happily in AWS for months or even years without noticing them. The issue appears when applications reach scale or when workloads become data-intensive.
If your platform serves large numbers of users, moves data frequently, or integrates with multiple external systems, egress fees start to matter very quickly.
Real-world scenarios where costs spiral
Some workloads are far more sensitive to outbound data charges.
Common examples include:
- Ecommerce sites serving large volumes of product images
- SaaS platforms with dashboards, APIs, and reporting tools
- Media-heavy downloads or content delivery
- Hybrid environments pulling data between cloud and on-prem systems
If you recognise your setup here, egress costs are likely already impacting your bill.
Why colocation avoids the egress fee problem
Colocation works differently to public cloud billing; instead of charging per GB, colocation providers offer fixed bandwidth or committed capacity as part of a monthly price.
There are no per-GB egress charges. This means traffic can grow without pushing costs up every month. You retain full control over how data moves in and out of your infrastructure, and monthly spend remains predictable.
For data-heavy workloads, this removes one of the biggest sources of cost uncertainty. For teams exploring this option, fixed-bandwidth colocation services are designed specifically to ensure predictable outbound traffic costs.
AWS vs Colocation cost predictability
The core difference is not performance or reliability; it’s cost predictability.
AWS optimises for flexibility. You pay for what you use, including outbound traffic.
Colocation is built for stable, long-running workloads where costs need to stay under control. Options range from single server colocation through to full rack colocation, all with predictable monthly pricing. Bandwidth is included, and pricing is fixed.
For teams with high outbound traffic, this difference alone can justify a change in approach.
Using colocation alongside AWS, not instead of it
This does not need to be an all-or-nothing choice.
Many teams still use AWS for burst workloads, development, or services that need elasticity. At the same time, data-heavy traffic is moved to colocation infrastructure where costs are predictable. This often includes moving front-end delivery, APIs, or content-heavy services into colocation.
This hybrid approach keeps flexibility where it matters and control where it is needed. Some organisations combine this with managed dedicated servers for additional operational support.
When it makes sense to look beyond AWS egress
There are clear signs it is time to review your setup. These include:
- Egress costs approaching or exceeding compute spend
- Stable and predictable traffic patterns
- Large volumes of outbound data every day
- Internal pressure to reduce cloud costs
At this point, reviewing alternative infrastructure is a sensible next step.
Why UK teams choose colocation for high outbound traffic
Many organisations running data heavy workloads look to colocation when they need predictable costs. Often this starts with a review of colocation options before committing to any large architectural changes.
Services are delivered from ISO certified UK data centres with fixed bandwidth colocation and dedicated servers. This allows teams to remove per GB data transfer charges while maintaining performance and control.
This approach also supports hybrid architectures, making it possible to integrate colocation alongside existing AWS environments.
Frequently asked questions
Are AWS egress fees avoidable
They can be reduced with architectural changes, but they cannot be removed entirely within AWS.
Does AWS charge for inbound data
Inbound data is usually free. Charges apply when data leaves AWS.
Are inter region data transfers charged
Yes. Data transferred between AWS regions is typically chargeable.
Can colocation remove egress fees completely
Colocation does not charge per GB for outbound traffic. Costs are based on fixed bandwidth instead.
Can colocation work alongside AWS
Yes. Many organisations run hybrid setups using both platforms.
Who this matters most for
This issue matters most for:
- SaaS platforms with growing user bases
- Ecommerce businesses serving large assets
- Media and download heavy platforms
- Hybrid cloud environments
Key takeaways
- AWS egress fees apply when data leaves AWS
- Outbound traffic costs scale with usage, not compute
- These costs are often underestimated early on
- Colocation removes per GB data transfer charges
- Colocation offers predictable alternatives for UK organisations
Final thoughts and next steps
AWS egress fees are not hidden, but they are easy to overlook. For many teams, they become one of the largest and least predictable cloud costs.
If outbound traffic is a growing part of your bill, it may be time to review your architecture.
Speaking to an infrastructure specialist can help you understand whether colocation or a hybrid approach could reduce costs without sacrificing flexibility.
