Multi-cloud, made boring.
Managed operations, zero-downtime migrations, FinOps governance, and security baselines across AWS, Azure, and GCP — engineered for resilient, cost-optimised, always-on infrastructure. Including the AI workloads that now run on top of it.
Built for your industry
We manage cloud platforms across healthcare (HIPAA-compliant AWS and Azure environments with strict data residency), banking and fintech (PCI-DSS and SOC 2 guardrails, real-time workloads), retail and e-commerce (elastic scale for peak traffic, multi-region CDN), and enterprise SaaS (multi-tenant isolation, FinOps chargeback, 99.99% SLAs). Each engagement starts with the compliance posture your industry demands — not a generic landing zone template.
Operations, managed services, and optimization
Multi-cloud operations should feel boring: secure foundations, reliable run-state, and predictable spend across AWS, Azure, and GCP.
AWS Managed Services
Operate and optimize AWS workloads with security, reliability, and cost control.
- Landing zones, IAM baselines, networking, and guardrails aligned to AWS best practices.
- Observability (logs, metrics, traces) and SRE-style incident response for critical services.
- FinOps reporting and optimization to reduce waste while keeping performance predictable.
Cut 20–40% from cloud spend without slowing engineering down.
Spend visibility, right-sizing, reserved-capacity strategy, and savings plans — across AWS, Azure, and GCP. FinOps for AI workloads powered by LLMInsight.
- Spend visibility by team, product, environment, and tag — across all three clouds in one view.
- Right-sizing, reserved-capacity strategy, savings plans, and idle-resource cleanup.
- Showback and chargeback for engineering accountability without slowing delivery.
- FinOps for AI: model selection, prompt and context optimisation — powered by SST's LLMInsight platform.
Security & compliance baselines, built-in.
SOC 2, HIPAA, PCI, and ISO 27001 guardrails wired into your landing zones from day one — not bolted on after an audit.
- Landing zones with guardrails for SOC 2, HIPAA, PCI, and ISO 27001 — across all cloud providers.
- Identity, secrets, and key management: IAM least-privilege, vault integration, rotation policies.
- Network segmentation, edge protection, and zero-trust patterns for cloud and hybrid environments.
- AI governance: data residency, prompt logging, model risk reviews, and responsible-AI frameworks.
Migrate safely with clear cutovers and stable outcomes
We plan migration waves, runbooks, and validations so cutovers are controlled — and the platform is stable after go-live.
AWS Migration
Plan and move workloads to AWS with minimal downtime and clear cutover steps.
- Assessment and wave planning: dependencies, sizing, and target architecture.
- Rehost/Refactor/Replatform strategies based on timeline, risk, and cost goals.
- Cutover runbooks, rollback plans, and post-migration stabilization.
Operating LLM workloads — production-grade.
The AI systems you've deployed need the same operational rigour as your most critical cloud services. SST provides it — 24/7.
- Uptime SLAs, cost guardrails, and model routing policies for LLM workloads in production.
- Regional fallback, load balancing, and latency monitoring across model providers.
- 24/7 incident response for the GenAI systems you've deployed — not just the cloud under them.
- Powered by SST's LLMInsight platform for real-time spend tracking, governance, and optimisation.