Round up of the talks at DevOps Days Kiel's second day.
Larry Maccherone, Director of Analytics and Research at AgileCraft and frequent speaker at agile conferences like QCon, gave a webinar in which he discusses the major risks and challenges when introducing metrics in an agile environment. Risks are referred as "dragons" and the techniques to get rid of them as "slayers".
Forrester has come-up with a new definition of DevOps. Forrester has added an additional “S” for sourcing in the CALMS definition of DevOps. They believe that DevOps must be supported by a solid sourcing strategy to extend the ecosystem. This then brings them to the acronym of CALMSS.
Matthew Badgley, shares ten tips for measuring agile success in a recent VersionOne blog based on the 9th annual State of Agile Survey.
Codetrails has released Codecity for Eclipse, which provides a visualisation of Java packages and classes in a 3D visualisation to identify where code can be improved. InfoQ evaluates the plug-in.
Matt Rogish talked about using Objectives and Key Results (OKRs) for company, team, and personal goal setting at the No Pants Festival 2015 in Antwerp, Belgium. InfoQ interviewed Rogish about what OKRs are and how you can use them, their strengths and pitfalls, doing annual performance reviews and managing people with numerical goals, and starting with OKRs.
Larry Maccherone, a Data Scientist at Tasktop Technologies, gave a talk at QCon London 2015 regarding the importance of metrics usage and how they should influence important decisions in the organizations.
Metrics are engrained in kanban. They play a role in several kanban practices like visualizing and managing flow, and support the agenda’s for sustainability, service orientation and survivability. At the Lean Kanban Central Europe 2014 Conference Wolfgang Wiedenroth talked about the power of metrics. In his presentation he provided may examples of using metrics with kanban.
Arun Kejariwal, from Twitter, talked at Velocity Conf London last month about forecasting algorithms used at Twitter to proactively predict system resource needs as well as business metrics such as number of users or tweets. Given the dynamic nature of their data stream, they found that a refined ARIMA model works well once data is cleansed, including removal of outliers.
CA Technologies’ Application Performance Management 9.5 adds the ability to detect and analyze unusual performance metric patterns in near real time. This can be used to detect the beginnings of a denial of service attack, failing hardware, or a rouge application.