3 Years of the Merit Money System, a Revolution on the Recognition Methods Proposed by Cláudio Pires
Back in 2014, Cláudio Pires, a CEO in the healthcare business, implemented an alternative employee recognition method, the Merit Money System. Three years later, InfoQ challenged him to talk about the wins, the pitfalls and the lessons learned so far.
According to Chris Lattner, Swift creator and Swift team lead before moving to Tesla, defining a Rust/Cyclone-inspired memory ownership model is one of the main goals for Swift development. Now that Swift 4 has entered its phase 2, the Swift team has published a manifesto detailing how Swift memory ownership could work.
As announced by Atlassian, a solutions provider for team collaboration and productivity, on January 9th, 2017, the company has reached an agreement to acquire Trello, a visualization tool that makes use of boards to help teams and people manage their projects and tasks.
In preparation for the upcoming microXchg conference, running 16th and 17th February in Berlin, InfoQ sat down with Uwe Friedrichsen and Adrian Cole and discussed functional service design, the new challenges with observing a distributed system, and what the future holds for the microservice architectural style.
How the shoe and clothes giant manufacturer's IT tamed an out-of-control proliferation of third party tools in their global websites which was killing performance. Furthermore, this led to a blame culture setting in between business and IT. A new third party governance process focusing on performance data and user experience validation was key to stop the bleeding.
Google Cloud Platform has released an open source Zipkin server that allows Zipkin-compatible clients to send traces to Google’s own Stackdriver Trace distributed tracing service for analysis. This Zipkin/Stackdriver Trace integration is aimed at developers whose applications and services are written in a language or framework that Stackdriver Trace doesn’t officially support.
Logz.io offers a hosted service which performs intelligent log analysis by using machine learning to derive insights from human interactions with log data that includes discussions on tech forums and public code repositories.
Honeycomb is a tool for observing and correlating events in distributed systems. It provides a different approach from existing tools like Zipkin in that it moves away from the single-request-tracing model to a more free-form model of collecting and querying data across layers and dimensions.
Netflix has recently made available the source code of the Chaos Monkey 2.0. The latest iteration of the resilience tool is fully integrated with Spinnaker and event tracking systems, but the SSH support has been removed.
Day 1 of JavaOne 2016 topics: learning about Java 8&9 features, Docker for Java developers, and development tools for Java EE 8. InfoQ highlights a few of the day's interesting sessions.
Continuous deployment results in a higher sense of responsibility and better quality of deployments, argues Paul de Raaij, technical pathfinder at Coolblue. Coding standards prevent your code base from becoming a mess, automated inspections are great for tedious and boring checks, and manual checks are great for checking if the logic or use of code actually makes sense.
At QCon New York 2016, Etsy software engineer Stefanie Schirmer told how her company successfully transitioned to an API-first architecture that supports multiple devices, addresses server-side performance problems, and was quickly adopted by development teams.
Stefan Thies, DevOps Evangelist at Sematext, in a recent post discusses ten important container monitoring metrics and their implications on operating Docker containers, specifically when running many containers per host. Combined in a single correlated view these metrics provide a starting point for monitoring Docker-based environments.
Windows Management Instrumentation (WMI) is a primary source of data when monitoring Windows systems. Given that the performance counters available vary from machine to machine, a tool is needed to list all counters available. The WMI type provider is one possible option to explore WMI performance counters.
Android N introduces a hybrid runtime using compilation + interpretation + JIT to obtain the best compromise between installation time, memory footprint, battery consumption and performance.
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