An application must scale
Usage changes over time, but the current setup is hard to adjust. Review traffic patterns and the parts of the application that constrain growth.
Platform / Productivity & Cloud
Build a cloud plan around the workload.
Use AWS services as part of an architecture shaped by performance, security, cost and support needs.
Explore the fit
01
Architecture
Match services to application requirements.
02
Reliability
Plan availability and recovery expectations.
03
Cost
Make usage and ownership visible.
Where to begin
A clear starting point for Amazon Web Services.
Define your requirements first, then evaluate the platform and implementation scope.
01
Review the current architecture
02
Define operational guardrails
03
Sequence a pilot or migration
Connected work
The platform is part of a wider plan.
Amazon Web Services should be considered alongside your existing systems, team workflows and the support needed after launch.
Explore Cloud servicesQuestions worth answering
What should change for the people who use it?
Which data and systems must connect?
Who will own the platform day to day?
Workload architecture
Start with the outcome.
Amazon Web Services provides cloud services for compute, storage, databases and more. Service choice should follow the workload: how it behaves, what must stay available, how data is protected and who will operate it after launch.
What a good plan produces
An AWS architecture with clear reliability, security and cost decisions.
When it fits
Recognise the problem before choosing the platform.
These situations help identify where Amazon Web Services may be useful and what needs a closer look.
Recovery is uncertain
Teams need to know what happens when a component fails. Define recovery objectives and test the paths that matter.
Costs are unpredictable
Resource choices and unused capacity can change spending. Make ownership, budgets and usage review part of the design.
Focus areas
The work behind the technology.
A platform decision affects data, teams and everyday operations. These workstreams help define a useful scope.
Architecture
Choose services around application behaviour, dependencies and deployment requirements.
Security
Plan identity, access, network boundaries and protection for data at rest and in transit.
Reliability
Set expectations for availability, backup, recovery and observability.
Cost management
Use budgets and resource ownership to make ongoing usage visible to the teams responsible.
Practical approach
From first question to a workable plan.
Understand the workload
Capture demand, dependencies, data and service-level needs.
Design guardrails
Agree on access, environments, security controls and cost boundaries.
Test a deployment
Validate performance, failure handling and operating procedures in a bounded first phase.
Review and improve
Monitor the workload and revisit architecture as usage changes.
Before you decide
Three questions that shape the scope.
Use the answers to assess fit and understand what needs to happen around the platform.
01
How much downtime can the workload tolerate?
02
Who will respond to alerts and incidents?
03
How will resources and costs be attributed?
Common questions
About Amazon Web Services.
Do we need to choose every AWS service up front?
No. Start with workload requirements and select the services needed for a sensible first architecture.
What should be included in a migration plan?
Dependencies, data movement, security, testing, cutover, recovery and post-launch ownership all need attention.
How do we control cloud costs?
Define budgets, ownership and usage review early, then adjust resources as real demand becomes visible.
Next step
Talk through the right fit.
Tell us what you need Amazon Web Services to support.
