Your server goes down and your customers tell you about it

You hear about outages last

The site is down for forty minutes until somebody writes to support. Or nobody writes — they just leave.

I set up continuous checks and alerts so the failure is reported by your systems.

There are so many alerts that nobody reads them

When a system sends twenty messages an hour, people stop looking — and miss the one that mattered.

I configure grouping and inhibition: one failure, one message.

Nobody knows how it all works

A contractor set it up two years ago, and things have been bolted on ever since. Now everyone is afraid to touch it.

A written review of what you actually have, and a plan for what to fix first.

Monitoring, logs and alerting

You discover failures before your customers do.

Server and access audit

Weaknesses found before they cause an incident.

Incident diagnosis

The cause of the failure, not another restart.

Docker and environments

The application runs the same on every server.

Deployment and CI/CD

Releases without manual file copying, with a rollback.

Backups and recovery

A backup you have proven can actually be restored.

Kafka and queues

Kafka from scratch, or an existing setup stabilised.

Bots and automation

Repetitive manual work leaves your day.