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Also known as: Ops
The discipline of running, monitoring, and maintaining production systems reliably and efficiently.
DESCRIPTION
Operations covers the processes and practices required to keep systems healthy, performant, and compliant. Key activities include deployment, change management, incident response, capacity planning, and observability. Modern Operations is highly automated via infrastructure as code, CI/CD, and runbooks. DevOps and SRE blend engineering with operations to improve reliability, velocity, and collaboration. Clear SLOs/SLIs and feedback loops underpin continual improvement.
ALTERNATIVE DEFINITIONS
AWS Well-Architected
The operations pillar focuses on running and monitoring systems to deliver business value and to continually improve processes and procedures.
Links operations to business value and continuous improvement.
ServiceNow
IT Operations Management (ITOM) is the practice of managing and maintaining an organization’s IT infrastructure, applications, and services.
Emphasizes IT infrastructure and services scope.
RELATED TERMS
DevOps Monitoring Alerting Incident Management Change Management Runbook On-call SLOs/SLIs Observability
COMPETING TERMS
RELATIONS
- Narrower: Bitwise Operation Set Operations
KNOWLEDGE AREAS
Software Engineering Observability & Telemetry Infrastructure Collaboration Data Storage & Operations
TARGET AUDIENCE
IT Manager DevOps Engineer Application Administrator Chief Information Officer IT Project Manager Security Architect Cloud Architect
EXTERNAL SOURCES
- Wikipedia - Operations management
- Google SRE - Foundational SRE practices for Operations
- Microsoft - Operational excellence guidance
- Google Cloud - DORA metrics for Operations performance
TOP QUESTIONS
What does Operations encompass in modern software organizations?
Operations includes deployment, monitoring, incident response, change management, and capacity planning. Automation and observability are key for reliable, scalable systems.
Category: Overview
How does Operations differ from Site Reliability Engineering?
SRE applies software engineering to operations tasks and codifies reliability with SLOs. Operations covers broader run aspects, often with more procedural workflows.
Category: Comparison
Why is Operations crucial for data platforms?
Reliable operations ensure data pipelines and warehouses meet SLAs, prevent outages, and maintain data integrity for analytics and AI workloads.
Category: Relevancy
What are key Operations metrics?
SLO/SLI attainment, MTTR, incident rate, change failure rate, deployment frequency, and availability. These guide continuous improvement.
Category: Metrics
What are common Operations mistakes?
Manual changes without automation, weak monitoring, poor incident communication, and missing postmortems. These increase risk and slow recovery.
Category: Mistakes
How should Operations handle incidents?
Use on-call rotations, runbooks, blameless postmortems, and clear escalation paths. Automate detection and response wherever possible.
Category: HowTo
What risks exist if Operations is neglected?
Outages, data loss, security gaps, and regulatory breaches. Costs rise from firefighting and reputational damage.
Category: Risk
What tools support Operations?
Observability stacks (Prometheus, Grafana), tracing (OpenTelemetry), incident tools, IaC (Terraform), and CI/CD platforms.
Category: Tools
How does DevOps impact Operations?
DevOps integrates development with operations, emphasizing automation, collaboration, and continuous delivery to improve reliability and speed.
Category: Opinion