# State of DevOps Report | DORA & LinearB

> The DORA team at Google and LinearB have partnered to gather research from over 36,000 professionals worldwide for the Accelerate State of DevOps Report.

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[Resource Center](https://linearb.io/resources)

# 2023 State of DevOps Report

![State of DevOps Report 2023](https://assets.linearb.io/image/upload/c_fit,w_2560,h_1700/f_auto/q_auto/v1/state-of-devops-report-2023?_a=BAVMn6ID0)

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## About the 2023 DORA Report

![Key Outcomes](https://assets.linearb.io/image/upload/c_fit,w_2560,h_1920/f_auto/q_auto/v1/key-outcomes-grid?_a=BAVMn6ID0)

### Key Outcomes from DORA

Engineering leaders use this report to understand the goals that we believe people, teams, or organizations are striving to either reach (organizational performance, for example) or avoid (burnout, for example). As a result, these measures are important ways for people to evaluate themselves, their teams, and their organizations.

![Dora Performance](https://assets.linearb.io/image/upload/c_fit,w_2560,h_999/f_auto/q_auto/v1/dora-performance?_a=BAVMn6ID0)

### DORA Metric Performance 

Each year the DORA team performs cluster analyses to find common trends across applications. We recommend that you use these analyses to understand how you compare, but that you don’t fixate on these comparisons. The best comparisons are those performed over time on the same applications rather than between different applications, which will always have different contexts.

![Performance Predictors](https://assets.linearb.io/image/upload/c_fit,w_2560,h_1513/f_auto/q_auto/v1/performance-predictors?_a=BAVMn6ID0)

### Performance Predictors

Investing resources and effort into continuous integration, a loosely coupled architecture, and increased code review speed will likely lead to many beneficial outcomes, such as improved organizational performance and improved team performance. Use this report to understand all of the performance predictors from technical to cultural. 

![Importance of AI](https://assets.linearb.io/image/upload/c_fit,w_2560,h_1968/f_auto/q_auto/v1/importance-of-ai?_a=BAVMn6ID0)

### AI, Cloud Infrastructure and Reliability 

Some analysts and technologists hypothesize that AI will make software teams more performant without negatively affecting professional well-being. So far our survey evidence doesn’t support this. Dive into the latest technology trends and understand the market outlook today. 

## Get the 2023 DORA Report Now

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## More resources

[![Cover image for From measurement to action: moving off Appfire Flow without starting over](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/webinar_appfire_flow_migration_7387e46670?_a=BAVMn6ID0)](https://linearb.io/resources/flow-migration)

Workshop

[From measurement to action: moving off Appfire Flow without starting over](https://linearb.io/resources/flow-migration)

Join a live workshop on making the move off Appfire Flow without losing your history, your team structure, or your momentum. 

[![Cover image for Migrating from Appfire Flow: a practical guide for engineering teams](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Blog_Moving_beyond_flow_88c071e703?_a=BAVMn6ID0)](https://linearb.io/resources/appfire-flow-migration-guide)

Guide

[Migrating from Appfire Flow: a practical guide for engineering teams](https://linearb.io/resources/appfire-flow-migration-guide)

Flow will cease operations in 2027\. If your team built workflows, dashboards, and quarterly reviews around Flow, you have a real problem on a fixed deadline. 

[![Cover image for Life beyond tokenmaxxing: AI efficiency for the long term](https://assets.linearb.io/image/upload/c_limit,w_2560/f_auto/q_auto/v1/Email_Webinar_Stop_counting_tokes_88aced1c77?_a=BAVMn6ID0)](https://linearb.io/resources/life-beyond-tokenmaxxing)

Workshop

[Life beyond tokenmaxxing: AI efficiency for the long term](https://linearb.io/resources/life-beyond-tokenmaxxing)

Watch a 45-minute session on how to measure AI's real impact across the SDLC and win the executive conversation about engineering efficiency.

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