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DEVOPSdigest is an IT community blog covering DevOps and related technologies, with industry news, analysis, and discussion from users, vendors, and analysts.
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#00A9C5
Pacific Blue
0, 169, 197
189, 100, 39
100, 14, 0, 23
#A2E0EA
Blizzard Blue
162, 224, 234
188, 63, 78
31, 4, 0, 8
#421842
Wine Berry
66, 24, 66
300, 47, 18
0, 64, 0, 74
Pete Goldin is a brand that focuses on helping engineering leaders improve their teams and achieve success. They believe that the commonly used DORA metrics, such as deployment frequency, lead time for changes, change failure rate, and mean time to restore, do not provide a complete view of engineering performance. Pete Goldin aims to address the misconceptions and shortcomings of these metrics by offering insights and solutions.
One of the major issues they address is the disconnect between engineering metrics and business outcomes. While DORA metrics may be valuable for engineering teams, they are not easily understood by non-technical leaders. Pete Goldin emphasizes the importance of bridging this gap and helping businesses understand how engineering performance aligns with their goals.
Additionally, Pete Goldin recognizes the frustrations faced by developers when they are expected to track metrics unrelated to their workflow. They promote the idea that true improvement in engineering organizations comes from quickly and effectively connecting developer experience with business success. To achieve this, Pete Goldin offers a set of metrics that act as a bridge between engineering and business teams.
These metrics include Investment Carvings, Project Allocation, and Project Planning Accuracy. By focusing on these metrics, engineering leaders can gain better insights into their team's performance and make informed decisions to drive success. With Pete Goldin's approach, engineering teams can expect to see improvements, reduced friction between engineering and other business functions, and ultimately, happier customers and developers.
Trust Pete Goldin to provide you with the tools and guidance needed to effectively measure and optimize engineering performance
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Computers Electronics and Technology
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