Enterprise uptime. Without the enterprise headcount.
Cloud infrastructure and compliance experienced, DevOps for medium, small business, funds and healthcare practices. 99.999% uptime maintained in current infrastructure work, one accountable engineer instead of a ticket queue.
Not projections, and not yet Madera Web Services client results: the operating record behind those results, run in production, in the roles that built it.
A disciplined approach to building and operating secure cloud infrastructure.
Every engagement follows the same operating model: align the business need, design the right architecture, automate what should be repeatable, prove it works, then transition it into an environment that can be operated and improved.
- A|AlignStart with the outcome.
Requirements, stakeholders, constraints, risk and what success actually means.
- D|DesignEngineer before deploying.
Architecture, security, resilience, recovery, cost and operational requirements.
- A|AutomateMake it reproducible.
Infrastructure as code, version control, CI/CD and AI-assisted workflows where they add value.
- P|ProveTrust evidence, not assumptions.
Validate security, monitoring, backups, recovery, performance and expected behavior.
- T|TransitionLeave it operable.
Documentation, runbooks, ownership, monitoring and a clear path for continuous improvement.
Nothing above shows up on a status page. Until it does.
An unpatched instance nobody remembers spinning up. A failover that's never actually been tested. A vendor who goes quiet the week your compliance officer asks for documentation.
None of it shows up on a status page. It shows up in a due-diligence questionnaire, or an incident report, at the worst possible time. That's the risk being carried every day by a fund too lean to justify a full-time DevOps hire, or a practice running patient systems on whatever the last vendor left behind.
Three ways to bring in enterprise infrastructure discipline, sized to what you need
Engagement model, not service category: for this buyer, how you commit matters more than a checklist of domains. A fund or a healthcare practice evaluating a vendor asks about scope, SLA, and exit terms before anything else.
The DevOps hire you don't have to make
Ongoing management: monitoring and alerting, IAM/RBAC administration, automated backup and disaster recovery, CI/CD upkeep, incident response. Scoped and priced like a fractional hire, not a break-fix vendor.
Audit, harden, document, hand off
A fixed-scope engagement built around a specific deadline: a fundraise, an audit, a migration. Infrastructure hardening, disaster-recovery build-out, cloud migration, compliance documentation and SOPs, delivered on a set timeline with a clean handoff.
A second set of eyes, before you commit to either
Architecture review, vendor and MSP evaluation, pre-audit readiness check. For teams not ready for an ongoing or project engagement yet, or who want an outside read before a bigger decision.
Proof, by vertical
For business that require regulatory compliance and can't afford downtime
Currently responsible for production Linux and Windows infrastructure supporting medium to small business and hedge fund clients across AWS and Azure: 99.999% uptime, IAM and Azure RBAC hardened for least-privilege access, and automated AMI/EBS-snapshot disaster recovery built specifically to cut recovery time.
For practices where downtime means a canceled visit, not a Slack message
Led facility operations for a multi-site healthcare organization: HIPAA, ADA, and OSHA compliance, MSP and vendor coordination, and IT upgrades executed with zero disruption to patient care.
How the System Works and What It Costs
An AI application built with AWS CDK, ECS Fargate, PrivateLink, guardrails, multi-AZ networking, automated deployment and detailed cost analysis.
Cyan traces the live request path — Route 53 to the ALB to ECS Fargate to Bedrock, entirely through interface VPC endpoints. Violet marks controls attached to that path (Cognito, Guardrails). Slate is governance and telemetry running continuously across the account (CloudTrail, GuardDuty, CloudWatch). Green is the CDK delivery path, gated by a Responsible AI evaluation and a human approval before anything reaches the VPC.
2 AZs · 9 interface endpoints · 2 Fargate tasks · always on · moderate AI usage
9 VPC interface endpoints — $131.40/mo fixed, before data processing.
The largest predictable cost isn't compute or inference — it's the private connectivity layer. Nine interface endpoints across two Availability Zones run ≈$131.40/month before data processing, the fixed price of a no-NAT, isolated network design.
The largest variable cost is Bedrock Guardrails, which scales with prompt and response length rather than request volume. Nova Lite inference stays cheap at this traffic level.
Modeled at US East (N. Virginia), current AWS list pricing, ≈100 requests/hour at 2,000 input / 500 output tokens. Engineering estimate, not an AWS quote.
Where this is already heading
The same infrastructure discipline extends to the automated, AI-assisted workflows funds and practices are starting to ask about: reasoning, memory, and code execution, built on Amazon Bedrock and Claude. Not the reason to start this conversation. The reason it doesn't have to be the last one.
One call. Thirty minutes.
A systems review, not a sales pitch: walk through what's running today, where the exposure actually is, and whether it's worth continuing the conversation. If it's not a fit, you'll know within twenty minutes, and you'll still have gotten something useful out of it.
Or email Adonis@maderaweb.net
Not sure any of this is the right fit, or even what to call the problem? That's fine. Nothing above requires diagnosing it first. A slow site, a climbing AWS bill, a vendor who's gone quiet, a nagging sense nobody's actually watching the infrastructure: say what's happening at Adonis@maderaweb.net. This is just permission to use it before you're certain.