Engineering for
dependable delivery

Give product, engineering and operations a common definition of a dependable service, including what to measure and who takes action

• Map critical user journeys, service boundaries and dependencies with named owners
• Define service level indicators and objectives using meaningful measures such as successful requests, response time or data freshness
• Agree the measurement window and an error budget policy that guides reliability priorities and release decisions
• Create an improvement backlog that connects service risks to engineering work

Help teams move from seeing an alarm to understanding which users are affected, where to investigate and what to do next

• Review the coverage and quality of application metrics, logs and request traces
• Add or improve instrumentation for agreed service paths and connect related signals
• Build service views that show user impact, dependencies and the evidence behind the status
• Tune alerts around actionable conditions, with routing, ownership and response guidance

Make the path from a code change to a working service repeatable, visible and appropriate to your release controls

• Review the build, test and deployment pipeline and identify manual steps or missing checks
• Implement continuous integration and delivery workflows with the agreed test and approval stages
• Define release health checks, deployment records and a practical rollback or roll-forward approach
• Connect release information to operational monitoring so teams can investigate changes in service behaviour

Create a more consistent foundation for applications while making environment changes easier for teams to review and maintain

• Map the development, test and production environments and their access requirements
• Manage agreed infrastructure and configuration through versioned definitions and review
• Improve environment setup, configuration handling and the use of approved secret storage
• Document platform dependencies, capacity assumptions and operational responsibilities

Prepare people and services for disruption through clear response steps, recovery evidence and learning that becomes owned work

• Define incident roles, escalation paths and communication responsibilities
• Write and exercise runbooks for selected failure and recovery scenarios
• Review backup and restore arrangements and run approved recovery checks in an agreed environment
• Facilitate incident reviews that record contributing factors, owners and follow-up actions

Reduce repetitive operational work and leave the team with understandable automation, rather than another script that only one person can support

• Identify recurring tickets, manual checks and repetitive tasks that consume engineering time
• Prioritise automation against effort, operational risk and the work it can remove
• Build agreed scripts or workflows with validation, failure handling and a clear owner
• Transfer knowledge through paired work, operating notes and a maintained improvement backlog