Recovery objective and dependency mapping
Define the real users, inputs, constraints, dependencies, and outcome before choosing the implementation.
Cloud + production reliability
Backup & Disaster Recovery
Create tested database, file, configuration, and release recovery paths with explicit retention, encryption, ownership, and restoration checks.
The operating context
Where this work earns its place.
A successful backup job is not the same as a recoverable system. Zyel maps every required state source, automates protected copies, defines recovery objectives, and performs restoration verification before documenting the incident path.
- Backups exist but have never been restored.
- Database, uploads, secrets, and release artifacts are protected differently.
- Recovery time depends on a single person’s memory.
What the work includes
A complete delivery path.
Database, file, configuration, and artifact backups
Design and build the working layer with explicit states, exceptions, and ownership boundaries.
Retention, encryption, access, and failure alerts
Connect the capability to the surrounding application, data, providers, infrastructure, and team workflow.
Restoration testing and recovery runbooks
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.
Project evidence
See where this capability appears in the work.
Start with the working problem