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Swoop Systems

How Swoop modernized a core environment by moving from on-premises infrastructure to AWS

Using our AI Infrastructure & Platform Engineering service, Swoop Systems migrated a core environment from on-premises infrastructure to AWS, gaining elastic compute, scalable storage, more resilient networking, and a platform foundation that could scale without the cost and operational burden of over-provisioning.

Lower infrastructure costImproved scalabilityStronger reliability

The Challenge

Swoop was running a core system in an on-premises environment that limited its ability to scale efficiently. Capacity planning was rigid, scaling required more manual effort, and the cost model was inefficient because the team had to maintain excess headroom whether it was needed or not.

Our Approach

We delivered the engagement in two phases: an infrastructure assessment to understand the current on-premises environment and its constraints, followed by a platform build that moved the target system to AWS with cloud-native building blocks for compute, networking, and storage.

Results

  • Lower infrastructure cost
  • Improved scalability
  • Stronger reliability

Outcomes

Lower infrastructure cost and less over-provisioning Moved from fixed-capacity infrastructure to an on-demand cloud model that better matched actual usage.

Improved scalability and operational flexibility Enabled the team to scale compute, storage, and networking as requirements evolved instead of planning around static hardware constraints.

Stronger reliability and platform resilience Introduced cloud-native capabilities for redundancy, autoscaling, and fault-tolerant infrastructure design.

Better monitoring and operational visibility Improved observability with centralized monitoring, alerting, and infrastructure insight across the environment.

Client profile

Swoop Systems logoSwoop Systems — A technology company that gives you a managed, AI-powered workforce that takes full ownership of processes inside the tools you already use.

The challenge

Swoop was running a core system in an on-premises environment that limited its ability to scale efficiently. Like many on-prem deployments, the environment had to be provisioned around expected peak demand, which meant infrastructure was often oversized relative to actual usage.

This created several issues at once. Capacity planning was rigid, scaling required more manual effort, and the cost model was inefficient because the team had to maintain excess headroom whether it was needed or not. As platform needs changed, the environment could not adapt as easily as the business required.

The team also needed stronger operational capabilities. Reliability depended heavily on the limitations of the existing environment, and observability was not where it needed to be for a modern production platform. Monitoring, scaling behavior, and infrastructure flexibility all needed to improve.

Swoop needed a more modern platform foundation that would allow the environment to scale as needed, reduce unnecessary infrastructure overhead, and improve day-to-day operations.

The engagement: AI Infrastructure & Platform Engineering

We delivered the engagement in two phases: Infrastructure Assessment and Platform Build.

Phase 1: Infrastructure Assessment

We began with an infrastructure assessment to understand the current on-premises environment, the constraints it imposed, and the requirements for a successful migration to AWS.

This assessment included:

  • Review of the existing infrastructure architecture and environment dependencies
  • Analysis of compute, storage, and networking requirements
  • Identification of scaling limitations and operational bottlenecks
  • Evaluation of reliability, resiliency, and observability gaps
  • Assessment of migration risks and target-state platform requirements
  • Definition of a cloud architecture aligned to current needs and future growth

This phase established the migration plan and created a clear blueprint for building a more scalable and maintainable AWS-based platform.

Phase 2: Platform Build

With the assessment complete, we designed and built the new AWS-based environment to provide a more elastic, reliable, and operationally mature platform.

AWS platform architecture

We moved the target system from on-premises infrastructure to AWS, replacing fixed-capacity infrastructure with cloud-native building blocks for compute, networking, and storage. This gave Swoop the ability to provision resources based on actual demand instead of forecasting around hardware limits.

Scalable compute, storage, and networking

The new environment was designed to scale horizontally and adapt as requirements changed. Rather than maintaining excess capacity up front, Swoop could now increase or reduce infrastructure based on workload needs. This improved cost efficiency while preserving room for future growth.

Reliability and autoscaling improvements

We introduced a more resilient platform model with cloud-native reliability patterns and autoscaling capabilities. This reduced operational fragility and gave the environment a stronger foundation for handling changing traffic and usage patterns.

Monitoring and operational visibility

We implemented improved monitoring and observability capabilities so the team could track system health, infrastructure performance, and operational issues more effectively. This made it easier to detect problems early, respond faster, and manage the environment with greater confidence.

Results

The migration gave Swoop a more scalable and cost-efficient platform foundation.

Reduced infrastructure overhead By moving away from fixed on-prem capacity, Swoop no longer had to over-provision for anticipated peak demand and could scale resources more efficiently over time.

Improved scalability The new AWS environment gave the team flexibility to adjust compute, storage, and networking as platform requirements changed.

Greater reliability and operational maturity Cloud-native resiliency, autoscaling, and improved infrastructure design increased platform stability and reduced operational constraints.

Stronger observability Monitoring and visibility improved significantly, giving the team better insight into platform health and performance.

Why this worked

The value came from more than just moving infrastructure from one environment to another. It came from redesigning the platform around elasticity, resilience, and operational control.

The biggest gains came from:

  • Replacing fixed-capacity on-prem infrastructure with scalable AWS services
  • Reducing the cost inefficiency of over-provisioning
  • Designing for future scale instead of current hardware limitations
  • Improving reliability through cloud-native infrastructure patterns
  • Increasing visibility with stronger monitoring and operational tooling

Business impact

Before the engagement, Swoop was operating within the constraints of an on-premises environment that limited flexibility and encouraged over-provisioning. After the migration, the team had a more modern platform that could scale with the business, support more reliable operations, and adapt without the same infrastructure friction.

Instead of continuing to invest in static capacity, Swoop gained a platform foundation built for change: more elastic, more observable, and better aligned to long-term growth.

Modernize infrastructure with a platform built for scale. We help companies assess legacy environments, design target-state architectures, and build scalable cloud platforms that improve reliability, flexibility, and operational efficiency.

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