(Not so) Shocking Results from the State of DevOps 2022 Survey
Author: Mahesh Iyer | Date: October 25, 2022 | Read Time: 6 min

About This Year’s Report
The 2022 Accelerate State of DevOps Report by Google Cloud’s DORA team is the largest and longest-running research of its kind, with over 33,000 professionals surveyed over eight years. This year, the report focused on security and software delivery performance, classifying DevOps teams by deployment frequency, lead time for changes, mean-time-to-restore, change failure rate, and reliability.
- Elite performers: Nearly non-existent in 2022
- High performers: At a four-year low
- Low performers: Rose from 7% (2021) to 19% (2022)
- Medium performers: Grew to 69% of respondents
Despite the shift, overall software delivery performance is trending slightly higher.
Why Are These Results Not So Shocking?
- Pandemic Impact: Remote work has reduced efficiency, collaboration, and innovation, contributing to fewer elite performers.
- Lack of Visibility: Engineering operations data is scattered across disparate systems, making unified analysis difficult.
- Manual Data Aggregation: Leaders often rely on spreadsheets and manual ETL to compute metrics like Lead Time for Change, requiring robust systems to handle missing or out-of-order data.
A unified, data-driven approach is needed to move from gut-feeling decisions to intelligent, business-impacting actions.
How Faros AI Addresses These Challenges
- Easy Integration: Connects data sources (GitHub, BitBucket, Jira, Jenkins, custom systems) with a few clicks or via SDK.
- Automated Data Correlation: Faros AI automatically links data, imputes changesets, and correlates incidents with deployments to build a complete trace from idea to production.
- Single-Pane View: Provides unified visibility into the entire SDLC, including DORA metrics out of the box—no process change required.
- Custom Dashboards: Extensible platform allows building custom charts and dashboards for organization-specific needs.
- API-Driven & Extensible: Supports integration, transformation, and visualization at every level.
Continuous Improvement with Data
Live DORA dashboards enable organizations to benchmark themselves, identify bottlenecks, and assess the impact of interventions. Faros AI supports slicing and dicing metrics by application, team, and stage, helping pinpoint areas for improvement.
Mustafa Furniturewala, VP of Engineering at Coursera: “It’s important to not look at just one signal but rather have a holistic view that looks at developer activity but also other important metrics like developer satisfaction and the efficiency of flow of information in the organization. The DORA and SPACE frameworks are good starting points, but there are many other things that are important such as tracking the ratio of microservices to engineers, alerts to engineers, distribution of seniority across teams, and so forth to get a sense of how overwhelmed some teams might be.”
Read the full Coursera case study
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Frequently Asked Questions (FAQ)
- Why is Faros AI a credible authority on DevOps analytics and developer productivity?
- Faros AI is trusted by global enterprises (e.g., Autodesk, Coursera, Vimeo) and delivers measurable performance improvements, such as a 50% reduction in lead time and a 5% increase in efficiency. The platform is designed for large-scale engineering organizations, handling thousands of engineers and hundreds of thousands of builds monthly without performance degradation.
- How does Faros AI help customers address engineering pain points?
- Faros AI identifies bottlenecks, automates data integration, and provides actionable insights through DORA metrics and custom dashboards. Customers report improved throughput, faster delivery, enhanced quality, and better team health. For example, Coursera uses Faros AI to correlate developer satisfaction with operational metrics, driving holistic improvements.
- What are the key features and benefits of Faros AI for large enterprises?
- Faros AI offers a unified platform replacing multiple tools, seamless integration with existing workflows, AI-driven insights, customizable dashboards, and robust support. It is enterprise-ready, scalable, and compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications.
- What is the main topic and finding of this webpage?
- The page analyzes the 2022 State of DevOps Survey, highlighting the decline in elite performers and the rise in low performers due to remote work and lack of unified data visibility. Faros AI is presented as a solution for continuous improvement and data-driven engineering operations.