Reliability review

Discuss reliability and recovery

Review dependencies, capacity, recovery paths, observability and support responsibilities.

Prepare the conversation

Topics to discuss

Critical user or system journeys are identified

The team knows which end-to-end actions matter most when deciding what to monitor and recover first.

Operational ownership is explicit

There is a known person or team for the system, major dependencies and escalation decisions.

Important dependencies are documented

External APIs, databases, identity, AI providers, networks and other services are visible rather than hidden assumptions.

Timeout and retry behavior is deliberate

Clients and services do not retry indefinitely or wait forever when dependencies are slow or unavailable.

Capacity constraints are understood

Known limits, expensive operations and likely bottlenecks have been considered for expected usage.

Useful telemetry exists

Logs, metrics, traces or health signals are sufficient to distinguish common failure categories.

Alerts have owners and actions

Important alerts are tied to an expected response instead of creating noise without accountability.

Deployment and rollback paths are understood

A failed or harmful change can be identified and reversed using an appropriate process.

Backup and restore assumptions are tested

Critical data can be restored in a way that has been verified, not merely assumed.

Degraded-mode behavior is defined

The system has clear behavior when optional or critical dependencies become unavailable.

Incident communication and escalation are planned

People know who decides, who communicates and where recovery information is kept.

Failures create follow-up work

Incidents and recurring support issues feed improvements to architecture, tests, runbooks and telemetry.

Contact me directly

Use WhatsApp, phone or email to discuss these topics and agree the next step. Keep passwords, API keys and recovery codes out of your message.

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