What’s the best way to deploy processing? One of the key insights we’ve gained from our implementation projects is that there’s no single “best” deployment model — only the one that fits your business. Based on our hands-on experience, these three approaches have consistently helped our clients drive efficiency, resilience, and growth.

ON-PREMISES

·      Full control over your data and infrastructure
·      Predictable, stable costs

This approach is often the right fit for organizations with strict compliance requirements or a strong need for control.

SELF-MANAGED SERVICES IN THE CLOUD

·      Fast and flexible scaling of CPU, RAM, and storage
·      Pay-as-you-go pricing based on actual usage
·      A good balance between cloud convenience and architectural control
·      Cloud-agnostic architecture, ensuring portability across cloud providers

This is a solid option for teams that want flexibility without giving up too much control.

MANAGED SERVICES APPROACH

(e.g., Amazon Aurora PostgreSQL)

·     Reduced operational workload for the team
·     Faster time-to-market
·     Similar to self-managed cloud setups: fast, flexible scaling and pay-as-you-go resource usage

A great choice if your priority is to move fast with maximum scalability.

OUR EXPERIENCE

We’ve worked with all three models — often combining them — supporting migrations between them as systems and business needs evolved.

In reality, the decision rarely comes down to technology alone. It’s usually shaped by context:

·     Who will be running and supporting the system?
·     What experience does the team already have?
·     How quickly do you need to launch and scale?

A BROADER PERSPECTIVE

In fact this isn’t just about processing. In many IT projects, architecture decisions are really about trade-offs — between control, speed, cost, and the operational burden on your team.