Devops for Growth

I gave this presentation about the Lean Analytics book at the Lean Startup Meetup in Karlsruhe. Follow my blog for updates: http://jan-koenig.com/blog/ Or Twit…

Types of Software Metrics

Formal code metrics—Such as Lines of Code (LOC), code complexity, Instruction Path Length, etc. In modern development environments, these are considered less useful.
Developer productivity metrics—Such as active days, assignment scope, efficiency and code churn. These metrics can help you understand how much time and work developers are investing in a software project.
Agile process metrics—Such as lead time, cycle time and velocity. They measure the progress of a dev team in producing working, shipping-quality software features.
Operational metrics—Such as Mean Time Between Failures (MTBF) and Mean Time to Recover (MTTR). This checks how software is running in production and how effective operations staff are at maintaining it.
Test metrics—Such as code coverage, percent of automated tests, and defects in production. This measures how comprehensively a system is tested, which should be correlated with software quality.
Customer satisfaction—Such as Net Promoter Score (NPS), Customer Effort Score (CES) and Customer Satisfaction Score (CSAT). The ultimate measurement of how customers experience the software and their interaction with the software vendor.

On dit qu’un modèle possède la propriété de Markov si son état à un instant T dépend uniquement de son état à l’instant T-1. Si on peut observer les états dans lesquels se trouve le modèle à chaque instant, on parle de modèle de Markov observable. Sinon, on parle de modèle de Markov caché.

Dans cet article, nous allons illustrer ces modèles pour comprendre leur fonctionnement et leur utilité.

In Kanban, throughput is one of the key measures of workflow efficiency. Learn how to track your performance over time using throughput histograms!

Barry Chandler, DevOpsDays London Organizer, reviews how DevOps is measured, as well as the Japanese lean engineering practices it evolved from.

« C’est bien votre Kanban, mais comment je fais pour planifier mon projet ? ». Cette phrase revient souvent dans la bouche des Managers, sur les projets que j’accompagne vers une transformation Agile en Kanban. Les DSI, après avoir rêvées devant les bénéfices de l’Agilité, ont maintenant besoins de résultats tangibles et pérennes auxquels les…

Un petit article sur un biais cognitif bien connu des statisticiens qu'est le paradoxe de Simpson. On ne parle évidement pas de Homer Simpson ici mais de Edward Simpson [1] qui mis en évidence comment la manipulation des données et de leur moyennes peut être très trompeur et comment, l’interprétation des données par notre cerveau…

Je suis loin d'être le premier à le dire mais il faut vraiment arrêter l'utilisation d'indicateurs pastèques. Mais pourquoi ?

In order to align expectations, I will not go into the history of the A3 model, nor the metrics here mentioned here but rather into how I’ve been using them. If you are not familiar with these…

Whereas cycle time measures how long it takes an individual task to go through your process, the throughput metric in Kanban measures the total amount of work delivered in a certain time period. Throughput only measures completed work items – nothing that is still in progress gets counted.

The reason throughput is a key Kanban metric is that it can be used to measure your capacity to deliver results.

The ‘new normal’ world creates three sets of immediate challenges for delivery teams:

it requires an immediate change to well-established ways of working - most notably due to forced remote working – so that daily routines and face-to-face communication are changed in both obvious and more subtle ways;
demands on delivery teams are remain the same, and are in many of our client’s cases increasing – with more to do, changing priorities and less available resources of all types; and
the very people upon which success depends will never have felt more unsettled and unsure about the future.

Find out what can the Cycle Time metric tell you about your process. Learn how to measure and optimize it for the benefit of an increase in process efficiency.