AWS Host Management, Data & Integration Specialists
We run the unglamorous layer that everything else depends on: hardened AWS hosts, governed data, secured AI workloads and integrations that don't fall over. Built for businesses where downtime, data loss or a leaked model prompt is not an option.
Operating Model
Three specialist practices, one accountable team. The risk in most environments sits at the seams — between infrastructure, data and the systems they feed — so we own the seams, not just the boxes.
AWS Host Management
Provisioning, patching, hardening, monitoring and cost control for EC2 fleets, containers and managed services. Your platform, run to a standard.
Data Management
Pipelines, warehousing, backup & recovery, retention and governance. Data that is correct, current, recoverable and accounted for.
Integration & AI Security
APIs, ERP/CRM connectors and event pipelines — plus hardening for the AI workloads that increasingly sit on top of them.
Service Catalogue
Every service is delivered against a written runbook with named owners and agreed response targets. Nothing below is aspirational — if it's in the catalogue, we run it in production today.
| Service | Scope | Engagement |
|---|---|---|
| A1 · Managed Hosting | Full lifecycle management of EC2, ECS/EKS and managed services — provisioning, OS patching, AMI baselines, capacity planning and incident response. | Monthly · SLA-backed |
| A2 · Host Hardening | CIS-benchmark alignment, IAM least-privilege review, security-group audit, SSM-based access replacing SSH keys, immutable infrastructure patterns. | Project → Managed |
| A3 · Observability | CloudWatch, Grafana and alerting stacks with runbook-linked alarms. Every alert has an owner and a documented response — or it doesn't page anyone. | Project → Managed |
| A4 · Cost & FinOps | Rightsizing, savings plans, storage-tier hygiene and monthly spend review with a named accountable engineer. Reported against budget, not vibes. | Monthly review |
| A5 · Well-Architected | Formal AWS Well-Architected reviews across all six pillars, with a prioritised remediation register — not a PDF that goes in a drawer. | Quarterly / one-off |
| A6 · Migration | Lift-and-shift or re-platform migrations into AWS, including landing-zone design, cutover planning and rollback rehearsal. | Fixed-scope project |
| Service | Scope | Engagement |
|---|---|---|
| B1 · Data Pipelines | Design and operation of ETL/ELT pipelines (Glue, Lambda, Step Functions, Airflow) with data-quality gates and failure alerting built in from day one. | Project → Managed |
| B2 · Database Ops | Managed RDS, Aurora and DynamoDB operations — performance tuning, version upgrades, failover testing and capacity management. | Monthly · SLA-backed |
| B3 · Backup & DR | Backup strategy, cross-region replication and disaster-recovery runbooks. Restores are rehearsed on a schedule — a backup that has never been restored is a hope, not a control. | Managed · tested quarterly |
| B4 · Governance | Data classification, retention schedules, access reviews and audit trails mapped to your regulatory obligations (GDPR, HIPAA, SOC 2 inputs). | Project → Quarterly review |
| B5 · Warehousing | Redshift, Athena and lakehouse builds — modelled schemas, documented lineage and cost-per-query visibility for analytics teams. | Fixed-scope project |
| Service | Scope | Engagement |
|---|---|---|
| C1 · AI Workload Review | Security assessment of LLM and ML workloads on AWS (Bedrock, SageMaker, self-hosted) — data flows, model access, secrets handling and logging coverage. | Fixed-scope assessment |
| C2 · Guardrails | Prompt-injection defence, output filtering, PII redaction and Bedrock Guardrails configuration for customer-facing AI features. | Project → Managed |
| C3 · Model Access Control | IAM boundaries for model invocation, per-application quotas, key rotation and audit logging — so "who called the model with what" is always answerable. | Project |
| C4 · AI Data Boundary | Controls preventing sensitive data from reaching third-party models: egress policy, VPC endpoints, private model hosting and DLP scanning on AI pipelines. | Project → Managed |
| Service | Scope | Engagement |
|---|---|---|
| D1 · API Engineering | Design, build and operation of REST and event-driven APIs (API Gateway, EventBridge, SQS/SNS) with versioning, throttling and contract testing. | Project → Managed |
| D2 · ERP / CRM Connectors | Reliable integrations into NetSuite, Salesforce, SAP and similar systems of record — idempotent syncs, reconciliation reports and replay on failure. | Project → Managed |
| D3 · EDI & B2B Exchange | EDI translation, SFTP/AS2 exchange and partner onboarding, monitored end-to-end with per-partner delivery dashboards. | Managed · SLA-backed |
| D4 · Legacy Bridging | Wrapping legacy and on-prem systems with modern interfaces so they can participate in cloud workflows without a rewrite. | Fixed-scope project |
| D5 · iPaaS Rescue | Stabilising and documenting inherited integration platforms (MuleSoft, Boomi, Zapier sprawl) — or migrating them onto maintainable AWS-native patterns. | Assessment → Project |
How Engagements Run
Every engagement moves through four gates. Each gate has a defined output you sign off — you always know where you are, what you've received, and what happens next.
Discovery & Risk Register
We inventory your environment, interview owners and produce a written register of risks, gaps and quick wins — ranked by impact, not by what's fashionable.
Fix What's on Fire
Critical items first: unpatched hosts, untested backups, exposed endpoints, silent pipeline failures. Short, sharp remediation sprints with visible burn-down.
Managed Service Handover
Runbooks written, alerting wired to owners, SLAs agreed. The environment moves onto steady-state management with monthly reporting you can forward to your board.
Continuous Improvement
Quarterly reviews covering cost, performance, security posture and upcoming AWS changes that affect you — with a maintained improvement backlog.
Operating Principles
Written, or it didn't happen
Every environment we run has current runbooks, architecture records and change logs. Institutional knowledge lives in documents, not in one engineer's head.
Tested, or it doesn't count
Backups are restored on schedule. Failovers are rehearsed. Alerts are fire-drilled. A control that has never been exercised is treated as absent.
Named owners, real SLAs
You get named engineers, not a ticket queue. Response targets are written into the agreement and reported against every month.
Least privilege by default
Access — human, service or model — is scoped to the minimum required and reviewed quarterly. This applies to us as much as to your systems.
Boring is a feature
We favour proven AWS-native patterns over novel architecture. Excitement belongs in your product, not your infrastructure.
Exit-ready always
Everything is documented and transferable. If you ever leave, you leave with your runbooks, your data and your dignity intact. No lock-in by obscurity.
Start an Engagement
Tell us what keeps breaking.
A 30-minute call is enough to tell you whether we're the right fit and what an assessment would cover. No deck, no discovery workshop invoice — just an engineer on the call from minute one.