Lean Product Development takes an end-to-end focus on the flow of work through a system. Rather than focus on traditional measures such as capacity utilization, it proves more effective to focus on how work is moving through the system. This article discusses what impedes the flow of work, and how we manage impediments to the flow of work.
Setting up a new monitoring system might seem daunting at first. Franklin guides us through the first steps and explains the architecture and inner workings of a Graphite-based monitoring system. Key takeaways are understanding time series data and configuration, datapoint formats, aggregation methods and retention.
Finalizers and PhantomReferences should not be depended on, but sometimes they are necessary. In this article we reveal how to contend with the many issues surrounding finalization in Java.
This article shows how to do planning using reference class forecasting with the #NoEstimates paradigm which promises more accuracy in forecasts. 13
With tens of thousands of production Java servers running in the enterprise, many engineers lack the skills to keep their servers greased. In this article InfoQ studies methods for tuning Java servers
What are the practical concerns associated with running microservice systems? And what you need to know to embrace the power of smaller services without making things too hard? 2
Practical Cassandra: A Developer's Approach book is a developer's guide to build applications using Cassandra NoSQL database. InfoQ spoke with authors about the book and data modeling in Cassandra.
How multi User Performance testing using modern data visualisation techniques gaines early insight into location specific performance and application areas that may have "sleeping" performance issues.
Garbage Collection takes minutes to learn and a lifetime to master. In this article Master trainer/consultant Ben Evans summarizes his recent InfoQ presentation "Visualizing Garbage Collection"
In this article, author explores Cassandra CLI architecture model using JArchitect tool and CQLinq language to analyze its code base.
Sometimes memory profiling is better than execution profiling for finding execution hot spots. In this article Kirk Pepperdine talks through some indicators for determining when to use which profiler 7
We mostly ship software by date, prioritizing what we think is important, and shipping once out app passes a certain quality level. But can we tell the readiness status of our application?