AWS Cloud Solutions
Design, automate, optimize, and operate on AWS with an engineering-first delivery approach that balances speed, safety, and cost.
We focus on practical patterns you can run in production—from foundations and CI/CD through to FinOps, observability, security, and disaster recovery.
Technical scope
AWS Cloud Foundations
We design AWS landing zones, account structures, and VPC patterns that give your teams a consistent, secure baseline to build on.
- High-level VPC patterns, subnets, and routing for your environments.
- Baseline security posture including network controls and logging.
- Account strategy aligned to teams, environments, or workloads.
Compute & Storage
We help shape EC2, EBS, and related services so workloads have the right balance of performance, resilience, and cost.
- Instance family and sizing guidance for key workloads.
- EBS strategies for performance, durability, and lifecycle management.
- High-level patterns for autoscaling and capacity management.
CI/CD with GitHub & Octopus Deploy
We build CI workflows around GitHub and deployment pipelines using Octopus Deploy, tuned to your branching and release strategy.
- GitHub-based CI pipelines for build, test, and validation.
- Octopus Deploy release pipelines with clear promotion paths across dev, test, staging, and production.
- Environment consistency and configuration management for AWS targets.
FinOps & Cost Optimization
We review AWS usage to identify waste, right-size resources, and put in place simple guardrails so spend stays predictable.
- Right-sizing of compute, storage, and supporting services.
- Storage optimization, including EBS lifecycle and data retention approaches.
- Budgeting, alerts, and basic reporting aligned to finance cadence.
Observability
We help define metrics, logs, and traces approaches so production issues are surfaced quickly and consistently.
- Monitoring and alerting strategies grounded in business impact.
- Logging approaches and dashboards using AWS-native or existing tools.
- High-level SLO thinking to focus engineering effort where it matters.
Security & Governance
We apply IAM and policy patterns that favor least privilege while staying practical for day-to-day engineering work.
- High-level IAM best practices and role patterns for teams and services.
- Guardrails and configuration baselines to support compliance efforts.
- Integration of security considerations into pipelines and change processes.
DR & Resiliency
We help define and implement backup and recovery approaches that match your recovery objectives and budget.
- Backup strategies for key data and services, using AWS-native capabilities where appropriate.
- Recovery planning and playbooks aligned to realistic scenarios.
- High-level patterns for regional resiliency where needed.
Engineering principles
Infrastructure is code, not clicks — declarative, version-controlled, reviewable.
Automation over manual processes — repeatable pipelines and patterns.
Least-privilege by default — access scoped to what is required.
Observability as a first-class concern — metrics, logs, and alerts from day one.
Cost awareness at design time — right-sizing and lifecycle built into architecture.
Secure-by-design architecture — security and governance embedded, not bolted on.
Tooling & stack
We use tools we know and that fit your environment. No exaggeration; we list what we use.
Cloud platforms
- AWS
- Azure
- GCP
Automation
- GitHub
- Octopus Deploy
- CI/CD pipelines
Infrastructure
- IaC (Terraform, Bicep, CloudFormation)
- Containers (Docker, Kubernetes where used)
- Version control (Git)
Monitoring
- Metrics and dashboards
- Centralized logging
- Alerting and on-call tooling
AI (when applicable)
- Model integration and APIs
- Cloud-hosted inference
- API-driven AI systems
Implementation methodology
We follow a structured, outcome-focused approach: discovery and scope, design and review, implementation in iterations, and handover with documentation and knowledge transfer. Delivery is phased so you have visibility at each step.
Deliverables
Concrete outputs you receive so delivery is tangible and reviewable.
- Architecture diagrams (current and target state)
- Infrastructure repository (IaC: Terraform, Bicep, or CloudFormation as applicable)
- Pipeline configuration and deployment workflows
- Monitoring dashboard setup and alerting rules
- Security baseline and access model documentation
- Cost optimization report and prioritized action plan
- Operational runbooks and escalation paths
- Handover workshop and knowledge transfer session
Engagement model
The same engagement models used across our cloud work apply to AWS-focused initiatives.
Cloud Assessment
1–2 weeksIncludes
- Current-state review of AWS, Azure, and/or GCP
- Risk and opportunity analysis
- Prioritized roadmap with quick wins and longer-term work
- Executive-friendly summary of key findings
Best for: Teams needing clarity on where to start.
Foundation Build
2–6 weeksIncludes
- Baseline AWS, Azure, and/or GCP landing zone
- Infrastructure as Code for core platform
- Initial CI/CD pipelines wired to environments
- Monitoring, alerting, and security guardrails
Best for: Teams building or standardizing a cloud platform.
Optimization & Operations
OngoingIncludes
- Regular cost optimization and FinOps reviews
- Reliability and incident reduction initiatives
- Support for platform changes and improvements
- Advisory support for roadmap and architecture decisions
Best for: Teams investing in continuous improvement.
Ideal clients
- •Teams with existing AWS, Azure, or GCP usage who want to standardize and optimize.
- •Engineering organizations ready to adopt or mature IaC and CI/CD.
- •Leaders who need cost visibility, governance, and reliability without hype.
- •Companies that want hands-on engineering delivery and knowledge transfer.
Scope and boundaries
Clear scope builds credibility. We are explicit about what we do and what we do not do.
We focus on
- ✓Cloud platform engineering (AWS, Azure, GCP)
- ✓DevOps and CI/CD automation (e.g. GitHub, Octopus Deploy)
- ✓FinOps and cost engineering
- ✓Reliability, observability, and SRE practices
- ✓Security and governance (IAM, policy, audit)
- ✓AI systems integration and production AI deployment
We do not
- ✕Resell or bundle random SaaS tools
- ✕Build generic marketing or WordPress sites
- ✕Provide unmanaged outsourcing or body-shop staffing
- ✕Claim certifications or metrics we cannot substantiate
- ✕Deliver infrastructure as one-off clicks without code or documentation
FAQ
Let's build a reliable AWS platform.
Talk to us about your AWS foundations, CI/CD, cost, or operations. We'll help you chart a practical path.
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