AWS Well-Architected reviews
Assess security, reliability, performance and cost, with a prioritised fix plan.
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Cloud, DevOps & MLOps
Reliable infrastructure for apps and AI
We design, migrate and run cloud infrastructure on AWS, including containers, CI/CD, GPU inference, private LLM deployment, monitoring and LLMOps.
- AWS architectureWell-architected, secure and cost-optimised setups.
- Ship fasterCI/CD pipelines that make releases routine, not risky.
- See everythingMonitoring, logging, alerting and AI observability.
What we build
What we do
Everything you need to run software in production.
Containers & Kubernetes
Docker, ECS and EKS for scalable, repeatable deployments.
Infrastructure as code
Terraform and AWS CDK, so environments are versioned and reproducible.
CI/CD
Automated testing and deployment pipelines with GitHub Actions or Bitbucket Pipelines.
LLMOps
Prompt versioning, evaluation pipelines, tracing and AI cost dashboards.
Private LLM deployment
Run open-weight models in your VPC or controlled infrastructure with private endpoints and scoped data access.
Cost optimisation
Right-sizing, savings plans and architecture changes that cut the monthly bill.
How we work
Cloud work without drama
We start by reviewing the current setup, then address the highest-priority risks and automate the parts that should be repeatable.
- Production experience. We've run high-traffic booking and SaaS platforms on AWS for years.
- AI-ready. GPU workloads, vector databases and LLM observability are part of our toolkit.
- No lock-in. Everything is documented and defined as code in your accounts.
Assess
Review architecture, security, costs and deployment process.
1–2 weeksPlan
Prioritised roadmap with quick wins and longer-term changes.
~1 weekImplement
Migrate, automate and harden infrastructure step by step.
2–12 weeksOperate
Monitoring, on-call support and continuous optimisation.
Ongoing
Tools & technologies
- AWS
- AWS CDK
- Terraform
- Docker
- Kubernetes (EKS)
- ECS
- GitHub Actions
- Bitbucket Pipelines
- Grafana
- Prometheus
- CloudWatch
- Langfuse
- Amazon Bedrock
- vLLM
- GPU inference
Case studies
Related work
Pumasight
PumaSight is a premier provider of Monitoring and IT Architecture solutions, providing fully managed services, monitoring technology, gap analysis, expert implementations, NOC and Disaster recovery solutions, and thorough customer training.
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AcceptHotels
A custom-built, multi-page, fast-loading, and visually polished online booking platform showcasing properties attractively using API integrations for the Travel and Hospitality industry.
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Blackwise
An AI-powered search and discovery platform focused on optimizing results relevance through machine learning while avoiding invasive data collection.
Read case studyDo you only work with AWS?
AWS is our main platform, but we also work with Google Cloud, Azure and DigitalOcean when that's the better fit.
What is LLMOps?
LLMOps is DevOps for AI applications: versioning prompts, running automated evaluations, tracing requests, monitoring quality and tracking AI costs in production.
Can you reduce our cloud bill?
Usually, yes. Right-sizing, savings plans, storage tiers and small architecture changes often bring significant savings. We start with a cost review.
Do you provide ongoing support?
Yes. We offer monitoring and support plans with clear response times.
Let's talk