As organizations scale their digital platforms, infrastructure decisions made early β often for speed and convenience β can quietly become long-term risks. What works well for a handful of applications can start to show cracks as teams, use cases, and operational demands grow.
This article outlines why our current architecture has reached its limits, and how a new, platform-oriented approach helps de-risk our Vertical technology roadmap while enabling faster, safer growth.
The Current Situation
Today, multiple application verticals operate within a single AWS account and shared infrastructure setup. Core resources such as networking, compute, storage, and databases are commonly shared across teams and workloads.
At a glance, this approach appears efficient:
- Fewer environmβ¦
As organizations scale their digital platforms, infrastructure decisions made early β often for speed and convenience β can quietly become long-term risks. What works well for a handful of applications can start to show cracks as teams, use cases, and operational demands grow.
This article outlines why our current architecture has reached its limits, and how a new, platform-oriented approach helps de-risk our Vertical technology roadmap while enabling faster, safer growth.
The Current Situation
Today, multiple application verticals operate within a single AWS account and shared infrastructure setup. Core resources such as networking, compute, storage, and databases are commonly shared across teams and workloads.
At a glance, this approach appears efficient:
- Fewer environments to manage
- Lower upfront infrastructure setup
- Centralized operational control
However, as the platform has evolved, this shared model has started to expose structural challenges that are difficult to ignore.
The Core Challenge
The main issue is tight coupling. When multiple verticals share the same infrastructure boundaries:
- A change in one area can unintentionally impact others
- Operational isolation is limited
- Troubleshooting becomes slower and more complex
- Environments drift over time due to manual changes
In practice, this means development, testing, and production workloads compete for the same underlying resources and operational attention.
The Business Risk
From a business perspective, this architecture introduces three key risks:
Stability risk β Issues in non-production environments can spill over and affect production stability. 1.
Delivery risk β Changes require more coordination and caution, slowing down release cycles. 1.
Cost visibility risk β When everything is shared, it becomes difficult to understand which vertical is driving which costs.
The Proposed Direction: A Dedicated Vertical Tech Platform
The proposal is not about adding complexity for its own sake. It is about introducing clear boundaries where scale and reliability demand them.
High-Level Shift
- A dedicated AWS account for our verticalTechnology
- Environment-based isolation: a. One shared platform for Prod & Pre-Prod b. One shared platform for Dev & QA c. Shared foundational resources per environment group: VPC, subnets, routing, NAT, IAM
- Microservices isolated at the service level, each owning: a. Compute (Lambda) b. Storage (S3) c. Data (Aurora PostgreSQL) d. Secrets and configuration
This creates a platform that is both structured and scalable.
Why This Matters (Beyond Technology)
Reduced Operational Risk β Production is clearly isolated from development and testing. A broken Dev or QA deployment no longer threatens live systems. 1.
Faster, Safer Delivery β Teams can deploy changes independently per environment, without coordinating across unrelated workloads. 1.
Cost Transparency β Costs can be tracked per microservice and per environment, enabling better forecasting and accountability. 1.
Elastic Lower Environments β Dev and QA environments can be created and destroyed on demand, avoiding unnecessary idle costs. 1.
Infrastructure as Code by Default β All resources can be provisioned via Infrastructure as Code, integrated with CI/CD pipelines (for example, Jenkins). 1.
Platform Consistency β Shared patterns ensure best practices are applied uniformly, without forcing every team to reinvent infrastructure decisions.
Trade-Offs (And Why Theyβre Worth It)
Every architectural shift comes with trade-offs. In this case, they are intentional and positive:
Initial investment in setup β The platform requires upfront design and alignment β but significantly reduces long-term operational overhead. 1.
Team upskilling β Engineers gain exposure to modern cloud-native and infrastructure-as-code practices, strengthening overall engineering maturity. 1.
Stronger governance β Clear ownership and boundaries improve compliance, security posture, and operational clarity. 1.
Rather than slowing teams down, these trade-offs enable sustainable velocity.
The Bigger Picture
This proposal is not just an infrastructure refactor. It is a strategic investment:
- In platform stability
- In delivery confidence
- In cost transparency
- In long-term scalability of each Vertical
By evolving from a shared, tightly coupled setup to a purpose-built platform model, we reduce risk today while creating space to grow tomorrow β without compromising speed or reliability.
This shift allows our Vertical Technology to move faster, safer, and with greater confidence β while setting a strong foundation for everything that comes next.