When you create a new AWS account, Amazon automatically provisions a default Virtual Private Cloud (VPC) in each region. It's convenient. It's ready to use. And for many organizations, it becomes a costly mistake.
Default VPC settings are designed for quick starts and proof-of-concept work. They're not optimized for production environments. Yet countless businesses continue running critical infrastructure on these out-of-the-box configurations, unaware of the financial and security implications.
Default VPCs follow a one-size-fits-all approach. Amazon creates them with predetermined CIDR blocks, pre-configured subnets across availability zones, and permissive default security group rules.
This convenience comes at a price. These settings rarely align with actual business requirements. They allocate more resources than most applications need. They open security pathways that should remain closed.
The result? Organizations pay for resources they don't use and expose themselves to unnecessary risk.
Every default VPC comes with a subnet in each availability zone within a region. These subnets exist whether you use them or not.
Here's the issue. Each subnet reserves IP addresses. Each subnet creates routing table associations. Each subnet generates logs if you've enabled VPC Flow Logs. All of this accumulates costs.
Many applications only need resources in two availability zones for high availability. The third, fourth, or fifth subnet sits idle. You're still paying for the associated infrastructure.
Multiply this across multiple regions and the waste compounds quickly.
Default security groups start with rules that prioritize accessibility over security. The default configuration allows all outbound traffic. It permits instances within the same security group to communicate freely.
This might seem harmless. In practice, it violates the principle of least privilege.
When security groups allow more traffic than necessary, you expand your attack surface. Compromised resources can communicate more broadly. Lateral movement becomes easier for potential attackers.
Security incidents that could be contained spread further. The blast radius increases.
Default VPCs use simple routing tables. They route traffic to the internet gateway by default. They don't account for your specific traffic patterns.
This creates inefficiencies. Traffic that could stay within AWS networks might route through the internet gateway instead. You pay data transfer charges that could be avoided.
Traffic between services in different subnets might not take the optimal path. Latency increases. Costs accumulate with each gigabyte transferred.
Without custom route tables optimized for your architecture, you're paying a premium for suboptimal network performance.
Default VPCs use a /16 CIDR block. That provides over 65,000 IP addresses.
Most organizations don't need anywhere near that many addresses. Overallocation creates management overhead. It makes IP address planning more complex. It limits flexibility for future network design.
When CIDR blocks are too large, they can conflict with on-premises networks or VPC peering arrangements. Changing CIDR blocks later requires recreating the entire VPC. That means downtime and migration effort.
Many compliance frameworks require network segmentation. They mandate strict control over traffic flows. They demand detailed logging of network activity.
Default VPC configurations make compliance harder. The flat network structure doesn't support proper segmentation. Overly permissive rules require extensive documentation to justify. Auditors ask questions you don't want to answer.
Governance becomes reactive instead of proactive. You spend time explaining why default settings exist rather than demonstrating intentional security design.
Network architecture forms the foundation of your cloud infrastructure. Everything else builds on top of it.
When that foundation uses default settings, limitations appear everywhere. Application teams work around network constraints. Security teams implement compensating controls. Operations teams struggle with visibility.
These workarounds introduce complexity. Complexity increases costs and reduces reliability. What started as a simple default configuration becomes a tangled web of exceptions and patches.
If default VPCs create so many problems, why do organizations continue using them?
The answer is simple: momentum and perceived complexity. Teams launch with defaults intending to optimize later. Later never comes. New projects build on existing infrastructure. The default VPC becomes entrenched.
Migrating to a custom VPC feels daunting. It requires planning, testing, and coordination. In fast-moving environments, optimization takes a back seat to feature delivery.
Continuing with default VPC settings has consequences beyond the monthly AWS bill.
You pay in reduced performance. You pay in security incidents that could have been prevented. You pay in engineering time spent working around limitations. You pay in technical debt that grows harder to address.
The longer default configurations remain in place, the more expensive changes become. Applications develop dependencies on existing network structures. Teams build processes around current limitations.
Default VPC settings serve a purpose. They help new users get started quickly. They simplify initial experimentation and learning.
But they were never designed for production workloads. They weren't optimized for cost efficiency or security best practices. They don't reflect the specific needs of your organization.
The question isn't whether default VPCs create problems. The evidence is clear. The question is how long you'll continue paying for convenience that no longer serves your interests.
Custom VPC configurations require upfront investment. They demand careful planning and execution. But they deliver immediate returns in reduced costs, improved security, and better performance.
Every month you delay is another month of unnecessary expenses and elevated risk. The best time to address default VPC settings was at the beginning. The second-best time is now.

Full-Stack Engineer & Project Manager | AWS Certified
I'm a full-stack engineer and project manager with expertise in JavaScript, cloud platforms, and automation. I'm AWS Certified and experienced in building scalable solutions and leading cross-functional teams.
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