Service capabilities
- Application fit
- Supported runtime, deployment model and service limits.
- Data and recovery
- Storage and restoration capabilities under the chosen service contract.
- Operating cost
- Usage, storage and data movement charges.
Cloud services chosen around your workload.
We help select, connect and operate the cloud and hosted services that fit your application, your team and your budget. That can mean new infrastructure, a managed backend or database, a deployment platform, or extending services you already use.
Start with the workload
Start with the constraint: difficult releases, unclear cost, insufficient recovery or a new workload needing reproducible environments. Review traffic, data, dependencies and the team able to operate the result.
Database extensions, file shares, identity and procurement requirements can constrain a move. Assess the whole workflow rather than treating a successful container start as migration completion.
Services around the application
Explore the service families we work with and the responsibilities around each.
AWS, Azure and Google Cloud
Choose compute, storage and networking around traffic, data location and the services the application depends on. Existing identity, procurement and team practices help determine which provider fits.
Virtual machines suit workloads needing control of the operating environment. Managed services can reduce that work, but capacity, network access and recovery still need a deliberate design.
- Application workloadTraffic, data and dependencies
- InfrastructureCompute, storage and networking
- Operating teamAccess, monitoring and recovery
Application delivery with Vercel
Vercel brings application builds and deployments into a managed release workflow. It fits web applications whose framework, runtime and execution model are supported by the platform.
Choose the deployment path alongside API and data dependencies. Preview environments need controlled secrets and data access; rolling back application code does not necessarily reverse a database change.
- Approved buildApplication code and configuration
- Deployment environmentRuntime and release model
- Application operationMonitoring, dependencies and recovery
Azure Functions and AWS Lambda
Event-triggered functions fit bounded work such as processing an uploaded file, responding to a message or running a scheduled integration. Azure Functions and AWS Lambda provide execution without managing a dedicated application server.
Match the runtime, execution duration and scaling behaviour to the task. Repeated triggers, downstream rate limits and interrupted work still require idempotency, retry decisions and a visible processing outcome.
- TriggerMessage, upload, schedule or request
- FunctionA bounded operation with defined inputs
- Durable outcomeRecorded completion or recoverable failure
Request handling with Cloudflare Workers
Cloudflare Workers runs request-handling code on Cloudflare’s network. It can serve application endpoints, route requests or adapt responses close to the incoming traffic.
Use the edge where it improves the complete request path. Runtime compatibility, data location and calls back to an origin matter; nearby execution alone does not make a distant database faster.
- Incoming requestUser location and permitted access
- WorkerRouting, response logic or application endpoint
- Data / origin serviceLocation, latency and consistency requirements
Docker, Fargate and Kubernetes with AKS
Docker packages an application and its dependencies as a container image. AWS Fargate supplies managed container compute through ECS or EKS; Azure Kubernetes Service (AKS) provides managed Kubernetes orchestration.
Choose orchestration when service topology, scaling or deployment needs justify it. Container portability does not remove configuration, persistent storage, networking or cluster-operation responsibilities.
- Container imageApplication and runtime dependencies
- Execution platformFargate compute or Kubernetes orchestration
- Operating designNetworking, storage, access and recovery
Managed data and local embedded storage
Firebase, Supabase, Neon and Aiven provide different backend and managed-data capabilities. Choose around the data model, query needs, access rules, concurrency and restoration requirements rather than treating them as interchangeable databases.
LiteDB is an embedded .NET database for smaller local applications and edge-device workloads with suitable persistent storage. It is not a managed cloud service or a drop-in database for Cloudflare Workers; shared access and synchronisation need their own design.
- Application needsQueries, access and sharing
- Managed or embedded storageHosted data service or local .NET data file
- Data ownershipBackup, concurrency and synchronisation
Trigger.dev, RabbitMQ and Kafka
Trigger.dev provides a task-oriented workflow for background and scheduled processing. RabbitMQ supports message delivery to consumers, while Kafka retains event streams that consumers can read and replay.
These solve different parts of the workflow. Task attempts, message acknowledgements and stream offsets need to connect to the application’s processing outcome. Retries and replay must not repeat an unintended business action.
- Task / eventOperation identity and input contract
- Task runner, broker or streamAttempts, delivery or retained events
- Application resultCompletion, duplicate handling and recovery
Cloudflare, Wix and Hostinger
Cloudflare supports website and application delivery with Workers and existing Pages deployments. Wix and Hostinger offer different website-building and hosting options where their supported capabilities fit the site.
Choose around content ownership, dynamic functions, integrations and the team maintaining them. A brochure site, an authenticated portal and a transactional application need different operating and release arrangements.
- Website needsContent, functions and integrations
- Platform / hostingSupported capabilities and release path
- Ongoing ownershipAccess, maintenance and cost
Managed services can reduce infrastructure work. Application behaviour, service limits, access, recovery and billing still need owners.
Managed service, retained responsibility
Choose around runtime, data location, interfaces, budget and the people operating the result.
Application ownership
- Application fit
- Business behaviour, configuration, integrations and dependencies.
- Data and recovery
- Permissions, recovery objectives and a tested complete restoration path.
- Operating cost
- Monitoring, maintenance and engineering effort across the existing estate.
A familiar platform or specialist service can fit the need. .NET is not restricted to Azure; multiple providers do not automatically establish resilience.
Connect the release and recovery plan
Connect an approved build to a known environment with reproducible configuration and controlled secrets. Database changes need compatibility and recovery decisions; reverting code may not reverse transformed data.
Capacity depends on databases and partner limits as well as application instances. Queued work needs bounds and visibility, not an autoscaling setting alone.
Prove the restoration path
Agree acceptable data loss and recovery time, then test the complete restoration path, including dependencies and access. A scheduled backup alone does not prove recovery.
Resolve work accumulated during outages: pending jobs, replayed integrations and uncertain requests. Replication, zones or regions address particular failures with cost and consistency trade-offs; name what remains outside the design.
Control access and understand cost
Access and visibility
Separate service identity from human administration and development authority from production access. Agree credential issue, storage, rotation and permission propagation.
Monitor request failures, backlog, dependency availability and freshness. Each alert needs an owner and response; correlated logs should help diagnosis without retaining unnecessary sensitive data.
Observed use and cost
Include compute, storage, data movement, managed services and ongoing engineering. Attribute use to production, test environments and temporary processing before changing capacity.
Optimise against observed use and recovery requirements. Removing redundancy can reduce a bill while breaking the operating plan.
Migration and handover
Plan data movement, dependent systems, continued work and the point at which writes change ownership. Validate cutover whether migration proceeds in stages or needs an agreed interruption.
Handover includes reproducible infrastructure, release guidance, access decisions, monitoring and tested recovery instructions, with owners for ongoing changes and cost.