Cloud · Platform · FinOps · Security · AI
Cloud, AI & Reliability. Made Doable.
Senior cloud engineering for growing companies. We cut cloud spend, harden security and keep platforms reliable as you scale — architecture and implementation from the same team.
Assessment-led · Implementation-ready · Built to hand over, not lock in
Technologies we work with every day
- AWS
- Kubernetes
- Cloudflare
- Terraform
- Docker
- PostgreSQL
The challenge
Cloud complexity should not slow your business down.
As platforms grow, cost, reliability, security and AI readiness all compete for the same scarce engineering time.
Rising Cloud Costs
Infrastructure spending grows faster than revenue, with limited visibility into waste and ownership.
Reliability Issues
Incidents, scaling problems and unclear operational ownership affect customers and engineering productivity.
Security Exposure
IAM, public endpoints, WAF rules, secrets and network controls become difficult to govern as the platform grows.
AI Adoption Challenges
Teams want to use AI but lack a secure, scalable and cost-controlled platform for production workloads.
Services
Everything needed to operate confidently in the cloud.
Six focused engagements spanning the cloud lifecycle — from cost and reliability to security, platform and AI.
Cloud Cost Optimization
Reduce infrastructure waste and establish sustainable FinOps controls without compromising performance.
Learn moreManaged Cloud and SRE
Extend your team with experienced cloud, platform and reliability engineering capabilities.
Learn moreKubernetes and Platform Engineering
Build standardized, secure and scalable application platforms for engineering teams.
Learn moreCloud Security and Cloudflare
Strengthen application, API, edge and infrastructure security across your cloud environment.
Learn moreAI Infrastructure
Deploy secure AI platforms, enterprise assistants and model integrations with clear cost controls.
Learn moreMigration and Modernization
Move workloads, databases and applications into modern cloud architectures with controlled risk.
Learn moreSelected experience
Practical infrastructure depth without enterprise ceremony.
doable.cloud is positioned for teams that need senior cloud execution, not slideware. Engagements start with a clear assessment, then move into focused implementation with your engineers.
The examples below are anonymized selected experience drawn from real engineering work. We publish a named case study only once a doable.cloud engagement is complete and the client has approved it.
High-volume platforms
Operational experience with production systems where uptime, deploy safety and incident response matter.
AWS and Kubernetes delivery
Hands-on architecture and implementation across compute, networking, observability, CI/CD and workload platforms.
Cloudflare edge security
Practical work with CDN, WAF, DDoS protection, access controls and application-edge performance patterns.
AI-ready foundations
Secure patterns for assistants, integrations, data access, governance and cost visibility before AI reaches production.
Assess
Cloud assessment
A focused review of cost, reliability, security and architecture with an actionable roadmap.
Build
Implementation sprint
A scoped delivery engagement to fix the highest-value platform, cloud or security priorities.
Operate
Ongoing engineering
Flexible cloud, platform and SRE capacity for teams that need senior execution over time.
A practical path from assessment to improvement.
- 01
Assess
We review your architecture, costs, security, reliability and operational practices.
- 02
Prioritize
You receive a practical roadmap based on business impact, risk and implementation effort.
- 03
Implement
Our engineers work with your team to deliver the agreed improvements.
- 04
Operate
We can remain engaged as your managed cloud, platform or SRE partner.
In practice
Anonymized snapshots of real engineering work.
Examples of how we approach cost, reliability and platform problems. We publish named case studies once a doable.cloud engagement is complete and approved.
Cloud cost optimization for a high-growth digital platform
A structured review of compute, storage, networking and platform usage that reduced monthly infrastructure cost while protecting performance.
Improving reliability for a high-volume commerce platform
Kubernetes, observability, database and scaling work that strengthened resilience and operational visibility for critical customer journeys.
Moving an AI application into company-controlled infrastructure
Migrating an AI application off a third-party platform into owned infrastructure for better governance, control and cost visibility.
Outcomes
The results our engagements are built to produce.
Every engagement is measured against your baseline, not vanity numbers — here is where we focus that effort.
- Lower cloud spending
- Faster and safer deployments
- Improved platform availability
- Stronger infrastructure security
- Better incident visibility
- Reduced operational burden
- Controlled AI adoption
- Clear infrastructure ownership
Cloud Assessment
Understand what is costing you money, increasing risk or limiting scale.
- Cloud cost review
- Architecture review
- Security review
- Kubernetes and workload assessment
- Reliability and observability review
- Backup and disaster recovery review
- Prioritized improvement roadmap
- Executive findings session