Single logo
LoginSign Up

Data Center Automation and Orchestration Audit Checklist

A comprehensive checklist for auditing automation and orchestration practices in data centers, focusing on infrastructure provisioning, configuration management, workload orchestration, and self-service capabilities to enhance operational efficiency and agility.

Data Center Automation and Orchestration Audit Checklist

by: audit-now
4.6

Get Template

About This Checklist

The Data Center Automation and Orchestration Audit Checklist is a crucial tool for assessing and optimizing the level of automation in modern data center operations. This comprehensive checklist addresses key aspects of automation, including infrastructure provisioning, configuration management, workload orchestration, and self-service capabilities. By conducting regular audits of automation and orchestration practices, organizations can enhance operational efficiency, reduce human error, improve service delivery times, and maintain consistency across complex IT environments. This checklist is essential for IT managers, automation engineers, and DevOps practitioners committed to leveraging advanced automation technologies to streamline data center operations and drive digital transformation initiatives.

Learn more

Industry

Information Technology

Standard

ITIL - IT Service Management

Workspaces

Data Centers

Occupations

Automation Engineer
DevOps Specialist
IT Operations Manager
Cloud Architect
Site Reliability Engineer
1
Is the infrastructure as code implementation compliant with ITIL 4 Automation Practices?
2
What percentage of IT processes are automated?
Min: 0
Target: 75
Max: 100
3
Is self-service IT available for users?
4
How effective is the workload orchestration in your environment?
5
What automation tools are currently being utilized in your processes?
6
Is the automation strategy integrated with change management processes?
7
What is the average time taken to provision resources automatically?
Min: 0
Target: 30
Max: 120
8
What challenges have you encountered in implementing automation?
9
Is continuous integration implemented within your DevOps processes?
10
How many deployments are made per week?
Min: 0
Target: 5
Max: 50
11
Are automated tests available for your deployed applications?
12
What mechanisms are in place for feedback loops in your automation processes?
13
Is artificial intelligence being utilized in your automation processes?
14
What is the accuracy percentage of automated decisions made by AI?
Min: 0
Target: 90
Max: 100
15
Is sufficient training data available for AI models in automation?
16
What challenges have you faced in implementing AI within automation?
17
Is resource allocation automated in your data center operations?
18
What is the average downtime duration in hours per month due to automation failures?
Min: 0
Target: 2
Max: 100
19
Are monitoring tools in place to track automated processes?
20
What feedback has the operations team provided regarding automation?

FAQs

Data center automation and orchestration audits should be conducted quarterly, with continuous monitoring of automation metrics and monthly reviews of orchestration workflows and performance indicators.

Key components include assessing the extent of infrastructure-as-code implementations, evaluating configuration management tools and practices, reviewing workload orchestration platforms, examining self-service portals and capabilities, and analyzing the integration of automation across different IT domains.

Organizations can measure automation effectiveness through metrics such as reduction in manual tasks, improvement in service delivery times, decrease in configuration errors, increase in resource utilization efficiency, and enhanced ability to scale operations without proportional increase in staff.

Artificial intelligence enhances data center automation by enabling predictive maintenance, intelligent resource allocation, automated problem resolution, and adaptive performance optimization, leading to more efficient and self-managing IT environments.

Data centers can ensure security and compliance in automated environments by implementing robust access controls, integrating security checks into automation workflows, maintaining detailed audit logs of automated actions, regularly testing and validating automation scripts, and ensuring compliance checks are built into orchestration processes.

Benefits of Data Center Automation and Orchestration Audit Checklist

Increases operational efficiency and reduces manual intervention

Minimizes human errors in routine data center tasks

Accelerates service delivery and improves IT responsiveness

Enhances consistency and standardization across IT environments

Supports scalability and agility in IT operations