High Data Costs & Complex Legacy Stack

Legacy platforms often carry the weight of technical debt, high data costs, and inflexible architectures that limit innovation. Mobilise Cloud helps organisations modernise by re-architecting data-heavy, legacy environments on AWS — reducing storage and licensing costs, unlocking scalability, and paving the way for future growth.

Many organisations find themselves locked into legacy technology stacks built over years, sometimes decades. While these systems may still underpin critical operations, they are typically costly, difficult to scale, and resistant to change.

Data is often at the heart of the problem. Traditional storage solutions, proprietary database licenses, and inefficient data pipelines can drive up costs dramatically — especially as organisations capture more information than ever before. At the same time, extracting value from that data becomes harder, with siloed systems and rigid architectures slowing down new initiatives.

Meanwhile, customer and regulatory expectations are evolving quickly. Businesses need to do more with their data — powering analytics, digital services, and machine learning — without letting costs spiral. Legacy systems, however, often hold them back, with complexity that makes transformation seem risky or unattainable.

Mobilise Cloud specialises in breaking this cycle. By modernising legacy stacks on AWS and redesigning data architectures, we help clients reduce operational costs, simplify technology estates, and build cloud-native platforms ready for innovation.

Challenge Summary:

Safehouse used expensive Oracle DBs to store sensor data—costs were high and scaling was painful.

Mobilise’s Solution:

Migrated backend to AWS Elastic Containers and introduced Elasticsearch as a cost-effective database.
Provided secure, serverless data pipelines with analytics reporting.
Achieved 99% cost reduction—approximately £3/month per sensor.

Case Study:

Safehouse relied on costly Oracle databases to store large volumes of sensor data. As the number of devices increased, costs grew rapidly and scaling the system became painful and inefficient. The model was simply unsustainable if the company wanted to expand its service.

Our approach
Mobilise Cloud re-engineered the backend for scalability and cost-efficiency:

Containerisation – Migrated the backend to AWS Elastic Container Service (ECS), improving portability, scalability, and management.
Database Modernisation – Replaced expensive Oracle databases with Elasticsearch, a cost-effective and flexible solution optimised for storing and querying time-series sensor data.
Serverless Data Pipelines – Built secure, serverless pipelines to ingest, transform, and analyse data, eliminating infrastructure management overhead.
Analytics & Reporting – Integrated analytics tools to give Safehouse real-time insight into sensor performance and trends, enhancing the value of their data.

The outcome

99% reduction in data storage costs, cutting costs to around £3/month per sensor.
Improved scalability, with the ability to handle significant increases in sensor numbers without escalating spend.
Faster analytics and reporting, empowering Safehouse to deliver more value to their clients.
Future-ready architecture, designed to support expansion without repeating the high-cost legacy issues.

Safehouse transformed a cost barrier into a growth enabler, freeing resources to invest in innovation rather than infrastructure.

We understand the burden of high data costs and complex legacy systems. Mobilise Cloud helps organisations modernise with confidence — replacing expensive, outdated stacks with scalable, cloud-native platforms that cut costs and unlock new opportunities.

With Mobilise Cloud, data no longer slows you down. It becomes the fuel for growth, efficiency, and innovation.

High Data Costs & Complex Legacy Stack

Challenge Summary:

Case Study:

Solutions For:

Mobilise - from complexity to clarity