Cloud + production reliability

AWS Cloud Infrastructure

Design, recover, modernize, and operate AWS systems across compute, databases, object storage, delivery, networking, identity, and monitoring.

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The operating context

Where this work earns its place.

Zyel works from the application’s actual dependency chain rather than treating AWS as an isolated diagram. Compute, data, storage, IAM, DNS, delivery, backups, cost, and releases are aligned with how the system is used and supported.

An AWS application is fragile, expensive, or poorly understood.
Files, databases, instances, and permissions fail across service boundaries.
A migration or consolidation must preserve a live operating system.

What the work includes

A complete delivery path.

Current-state account and workload tracing

Define the real users, inputs, constraints, dependencies, and outcome before choosing the implementation.

EC2, RDS, S3, CloudFront, IAM, and network design

Design and build the working layer with explicit states, exceptions, and ownership boundaries.

Migration, recovery, and release engineering

Connect the capability to the surrounding application, data, providers, infrastructure, and team workflow.

Monitoring, backup, cost, and operating documentation

Ship deliberately, verify the production path, document the operating model, and leave the next change safer.

How Zyel works

Evidence before abstraction.

01
Trace the current system.
Inspect the repository, data, workflow, runtime, vendors, constraints, and people already doing the work.
02
Choose the leverage point.
Separate urgent risk, valuable capability, and optional polish so the first move changes the operating outcome.
03
Build through the seams.
Carry design, engineering, integration, infrastructure, and operational states as one coherent implementation.
04
Prove it in production.
Test the real user path, failure behavior, measurement, deployment, and ongoing ownership before calling the work complete.