zAdviser: Your NFL Next Gen Stats for DevOps Continuous Improvement
Overview: NFL Next Gen Stats and Compuware zAdviser have a lot in common—one is changing the face of the National Football League, the other the face of the mainframe, both through data collection, analysis and visualization that enable continuous improvement.
The state of professional football, America’s favorite sport, is changing rapidly as the National Football League continues to embrace “big data” through platforms like Next Gen Stats.
Similarly, we’re changing the face of mainframe development with Compuware zAdviser, which uses machine learning to find correlations between developer behaviors and key performance indicators (KPIs) based on DevOps data and Compuware product usage data, thereby enabling continuous improvement.
Big Data in Professional Football
In 2014, the National Football League began embedding RFID tags in player’s shoulder pads to collect performance data through a new platform called NFL Next Gen Stats, “the capture of real time location data, speed and acceleration for every player, every play on every inch of the field.”
By 2016, the NFL was providing clubs with their team’s data. Today, teams and fans have access to every player’s data, additionally collected through tagged footballs and sensors throughout stadiums.
Stats are like KPIs—Top Plays, Passing, Rushing, Receiving—that include types, or metrics. For example, Top Plays includes metrics like Fastest Ball Carriers and Longest Plays. You can see these metrics across season and week to understand player performance and dig deeper to see what kind of play occurred to understand the context of the measurement.
In addition to Stats, Charts give you a visual analysis of top players’ performance. For example, QB Grid shows where a quarterback is performing above, at or below average as it pertains to their Passer Rating versus the league average.
zAdviser Next Gen Stats
The way our customers use zAdviser is similar to how NFL clubs with teams and players on the field use Next Gen Stats. Customer stream their product usage data into Amazon Web Services (AWS), FTP it or use the zAdviser File Transfer app.
Customers can then visualize that data in zAdviser dashboards built on Elastic’s Cloud Service and Kibana. It’s like looking at NFL Next Gen Stats’ QB Grid or other Charts, except you can see performance at an organizational, team and individual level.
zAdviser provides development Quality, Velocity and Efficiency KPIs with metrics, allowing customers to take this data and start measuring specific metrics:
- Escaped vs. Trapped Defects – how many defects “escape” to production (bad) versus how many are “trapped” in testing (good)
- MTTR (Mean Time to Repair) – the average time it takes to repair a reported bug
- Lead Time – how long it takes to get competitively differentiating ideas into production
You can learn more about some of the key metrics we provide customers through zAdviser in our eBook, “Metrics Worth measuring,” part of our “Achieving DevOps Guidebook Series.”
Looking at metrics in zAdviser is like looking at Next Gen Stats to measure Top Plays, Passing, Rushing and so on. This allows customers to understand where they need to make adjustments, thereby enabling continuous improvement, just like Next Gen Stats is helping teams and players continuously improve.
And that’s really the entire point of zAdviser: to help you treat your developers like high-performance athletes who are able to advance quicker and with more agility than ever before—because you now have the data to tell them how.
Learn more about zAdviser here.
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