Design for inevitable failure
Work backward from critical user journeys to RTO, RPO, backups, redundancy, isolation, graceful degradation and disaster recovery. Fit the architecture to exposure and budget.
AI-NATIVE · RELIABILITY ENGINEERING · REMOTE FIRST
We don't promise systems will never fail. We help teams see operational risk, govern dangerous changes, and design, rehearse, and verify real recovery paths. Led by over two decades of hands-on operations experience, supported by AI and our own intelligent operations probe for evidence-led, controlled execution.
Architecture illustration, not live production telemetry. High-impact work requires authorization and recovery prerequisites; capabilities are validated per engagement.
OUR PHILOSOPHY
Expertise is not believing machines will never break. It is deciding in advance what fails, how far damage can spread, who responds, and how recovery is proven.
Work backward from critical user journeys to RTO, RPO, backups, redundancy, isolation, graceful degradation and disaster recovery. Fit the architecture to exposure and budget.
A developer release, an operator command, or an AI recommendation is not execution authority. Scope, review, canaries, approvals and target-enforced checks contain mistakes.
When incidents happen, protect data and essential workflows first. Use rehearsed rollback, failover or recovery, verify the outcome, then finish root-cause analysis.
Preserve evidence, wrong hypotheses, recovery receipts and corrective actions as reviewed runbooks and tests—reducing dependence on heroics and memory.
ENGAGEMENTS
Start with clarity, then move into bounded, verifiable engineering and ongoing care. Scope, support windows and commitments are agreed for each environment.
For: an initial baseline or unknown risks
Map assets and dependencies, review critical journeys, configuration and change risks, assess restore readiness, and deliver a prioritized improvement plan.
Request an assessmentFor: recurring incidents or missing recovery plans
Design and test monitoring, isolation, redundancy, traffic management, backups, progressive deployment and rollback against agreed failure scenarios.
Discuss engineeringFor: Linux-dependent teams without dedicated SRE coverage
Scoped observability, diagnosis, routine maintenance, incident/change coordination and reporting, supported by bounded automation and expert review.
Explore managed careHOW WE OPERATE
Our Zoryvia Operations Probe collects host, container, service, and log signals within an agreed scope to support expert diagnosis. When action is needed, narrowly authorized, reviewed procedures carry out controlled changes with evidence and verification. This is not an unrestricted remote shell for AI.
Understand customer journeys, dependencies, risk tolerance and recovery objectives.
Correlate read-only probes, logs, metrics and external checks. Separate observed facts from hypotheses.
Define the target, permissions, impact radius, approval, abort conditions and recovery route.
Use our Operations Probe and reviewed runbooks for scoped authorized tasks. AI never self-authorizes consequential production changes.
Check actual customer journeys and data integrity. A successful command is not successful recovery.
Update the environment record, incident review and next risk-reduction actions.
INTERACTIVE SCENARIOS
Select a scenario to walk through detection, containment and recovery. These are educational simulations—not customer production evidence or claims of deployed autonomous repair.
TRANSPARENCY
Our existing remote-observation and task-execution foundations are being shaped into the customer-facing Zoryvia Operations Probe. Environment support and production permissions are verified case by case.
Customer-specific health records, AI diagnosis, bounded recovery workflows and independent business checks are being developed and rehearsed in stages.
No zero-outage guarantee, unbounded self-healing or staffed 24×7 response without a specific agreement.
LET'S TALK
Tell us what runs your business, what failure worries you most, and how quickly service must be restored. We'll assess whether we can responsibly help within a defined scope.
No. We set business-specific objectives, design for failure, and use real recovery exercises to verify achievable outcomes.
No. AI can investigate and prepare scoped plans; production authority remains with deterministic policy and customer-approved execution boundaries.
Continuous sensing and staffed response are separate. Support hours, escalation paths and response commitments must be explicitly agreed.
Yes. Begin with a scoped, authorized, read-only risk assessment before considering engineering changes or ongoing services.