Solution
Scalable Cloud Foundations for Business-Critical Software.
Design, deploy and operate cloud platforms with the security, resilience and cost control your business needs.
Who this is for
Companies running business-critical software on a single server, an ageing data centre or hosting nobody fully understands.
The problem
Releases are risky, backups are untested, and an outage is discovered when customers call. Costs grow without anyone knowing why.
Example workflow: moving an application to a managed cloud setup
Step 1
Assess
We document the current setup, dependencies, data size, peak load and recovery expectations.
Step 2
Design
We choose the deployment model, such as managed containers or a platform service, based on what your team can operate.
Step 3
Build
Infrastructure is defined as code, with separate test and live environments and automated deployment.
Step 4
Observe
Logs, metrics and uptime checks are wired to alerts with named on-call owners.
Step 5
Prove recovery
Backups are restored into a clean environment and timed before go-live, then on a schedule.
Inputs we need
- Current architecture and access
- Expected users, data and peak load
- Recovery time and data-loss tolerance
- Who will run the platform day to day
Systems involved
- AWS, Microsoft Azure or Google Cloud
- Containers (Docker; Kubernetes only where justified)
- Terraform or similar
- Monitoring and alerting tools
What you get
- Reproducible environments
- Automated, reversible deployments
- Tested backup and restore runbook
- Monthly cost view by environment
Exception handling
- Failed deployment: automatic rollback to the previous version
- Traffic above the planned peak: autoscaling within a cost ceiling, then alert
- Region or service outage: documented recovery steps and expected time
- Cost spike: budget alert to the owner
Permissions
- Production access limited to named engineers with multi-factor sign-in
- Separate accounts or projects per environment
- All changes made through code review, not consoles
Included
- Architecture and migration plan
- Infrastructure as code and pipelines
- Monitoring, backup and restore
- Runbooks and handover
Not included
- Cloud provider bills
- 24/7 on-call unless contracted
- Rewriting the application itself unless scoped
What affects cost
- Application complexity and dependencies
- Availability target
- Data volume and migration window
- Who operates it after handover
Illustrative example
A business application runs on one virtual server with nightly copies nobody has restored. Moving it to managed containers with a managed database, automated deploys and a timed restore test gives the team a known recovery time.
FAQs
Cloud-Based Business Platforms: common questions
Which cloud should we choose?
Usually the one your team or existing contracts already use. The differences matter less than good operating habits.
Do we need Kubernetes?
Often not. Managed containers or platform services are simpler to run. We use Kubernetes only when scale or team skills justify it.
How do you plan for growth?
We size for your stated peak with headroom, set autoscaling limits and review them against real usage after launch.
Who runs it after launch?
That is agreed upfront: your team with our runbooks, us under a support agreement, or a mix. Responsibilities are written down.
How do we know backups work?
We restore them into a clean environment before go-live and on a regular schedule, and record how long it takes.
Discuss cloud-based business platforms for your team
A short call is enough to check fit, the systems involved and a sensible first release.
No obligation. Clear recommendations. Confidential discussion.