Catalog
method#Reliability#Observability#Governance

Incident Management Process

Process for structured detection, escalation and resolution of IT incidents with defined roles, communication channels and post-incident reviews.

The Incident Management Process defines structured workflows for detecting, escalating and resolving outages.
Established
Medium

Classification

  • Medium
  • Organizational
  • Organizational
  • Intermediate

Technical context

Monitoring tools (e.g. Prometheus, Datadog)Communication platforms (e.g. Slack, Microsoft Teams)Incident ticketing systems (e.g. Jira, ServiceNow)

Principles & goals

Fast restoration takes precedence over complete root-cause elimination.Clear roles and escalation paths reduce response times.Postmortems are blameless and focused on actionable learning.
Run
Enterprise, Domain, Team

Use cases & scenarios

Compromises

  • Missing escalation leads to prolonged outages.
  • Unclear communication increases errors in remediation.
  • Excessive bureaucracy reduces team agility.
  • Conduct blameless postmortems to identify concrete actions.
  • Keep runbooks up to date and easily discoverable.
  • Use automated playbooks for recurring tasks.

I/O & resources

  • Monitoring and alert data
  • Runbooks and playbooks
  • Contact and escalation matrix
  • Restored service or documented escalation
  • Postmortem report with actions
  • Updated runbooks and preventive measures

Description

The Incident Management Process defines structured workflows for detecting, escalating and resolving outages. It includes roles, communication paths, prioritization and post-incident reviews to restore service rapidly and drive continuous improvement. It enforces clear responsibilities and measurable metrics to reduce downtime.

✔

  • Reduction of downtime and business impact.
  • Improved transparency through structured communication.
  • Continuous improvement through documented follow-ups.

✖

  • Requires commitment and training of involved teams.
  • Can impede responsiveness if processes are too rigid.
  • Not all incidents can be fully automated.

  • MTTR

    Mean time to restore service after an incident occurs.

  • MTTA

    Mean time to acknowledge after an alert is triggered.

  • Number of recurring incidents

    Measures how often similar incidents recur within a timeframe.

E-commerce: Black Friday outage management

Rapid escalation to SREs and use of predefined runbooks significantly reduced MTTR.

FinTech: security incident with data exfiltration

Combination of incident and security response processes ensured compliance-aligned reporting.

SaaS: regression after feature-flag rollout

Feature-flag rollback procedure minimized user impact and allowed controlled follow-up analysis.

1

Define roles, escalation paths and communication channels.

2

Create runbooks and standard playbooks for critical scenarios.

3

Integrate monitoring, alerting and ticketing into the process.

4

Establish regular drills (game days) and postmortem reviews.

⚠️ Technical debt & bottlenecks

  • Incomplete observability in critical paths.
  • Outdated or missing runbooks for legacy systems.
  • Manual, non-automated recovery procedures.
Slow escalation processesLack of observable metricsUnclear responsibilities
  • Automatically rebooting systems without root-cause analysis.
  • Resolving incidents permanently by phone without documentation.
  • Focusing solely on technical fix, not business impact.
  • Bringing in the right stakeholders too late.
  • Ignoring small incidents until they escalate.
  • Unclear ownership of follow-up actions.
Basic systems and networking knowledgeExperience with observability tools and log analysisCommunication and coordination skills under pressure
Detectability of critical failure states via metrics and tracesFast communication channels and escalation pathsRecoverability and minimal downtime
  • • Legal reporting obligations for security incidents
  • • Limited access to production data for team members
  • • Dependence on monitoring and alerting tools