Google Release Zipkin Integration with Stackdriver Trace for Tracing Distributed Applications

by Daniel Bryant on  Jan 15, 2017 1

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.

Amazon Releases 'AWS X-Ray' Distributed Tracing Service in Preview

by Daniel Bryant on  Dec 04, 2016

At the AWS re:Invent 2016 conference, held in Las Vegas, USA, a distributed tracing service named AWS X-Ray was released in preview within all 12 public AWS Regions. In a similar fashion to Google’s Dapper, Twitter’s Zipkin and the OpenTracing API, AWS X-Ray helps developers analyse and debug distributed applications, such as those built using a microservices architectural style. Offers Machine Learning Based Log Analysis

by Hrishikesh Barua on  Nov 15, 2016 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 - A Tool for Debugging Complex Systems

by Hrishikesh Barua on  Oct 31, 2016 1

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.

Chaos Monkey 2.0 Runs via Spinnaker

by Abel Avram on  Oct 24, 2016

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.

Continuous Deployment at Coolblue

by Ben Linders on  Sep 01, 2016

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.

Monitoring Metrics for Docker Containers

by Grischa Ekart on  Jul 31, 2016

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.

Exploring Performance Counters with F# WMI Type Provider

by Pierre-Luc Maheu on  Jun 08, 2016

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.

Tomas Rybing Introduces the Shooting Target - Value Kanban Board

by Savita Pahuja on  Mar 31, 2016

This post describes the applications of the shooting target in kanban board introduced by Tomas Rybing.

Adrian Cockcroft on Analyzing Response Time Distributions for Microservices

by Daniel Bryant on  Feb 07, 2016

At the microXchg conference, held in Berlin, Adrian Cockcroft presented “Analyzing Response Time Distributions for Microservices”. Cockcroft demonstrated how the combination of his Spigo microservice architecture simulation tool and the online Guesstimate Monte Carlo method tool can be used to visualise and experimentally simulate request response times within a complicated microservice system.

Don't Optimize Team-level Performance

by Ben Linders on  Dec 24, 2015

Klaus Leopold gave a talk at the GOTO Berlin 2015 conference in which he elaborated why focusing on team-level performance often leads to local suboptimalization and doesn't increase agility across the team. InfoQ interviewed him about why installing agile frameworks does not help to increase agility, how kanban can be used to increase collaboration, and benefits that teams can get from kanban.

Microservices at Spotify

by Ben Linders on  Dec 14, 2015

Kevin Goldsmith talked about how Spotify uses microservices to break down architectures and be innovative at the GOTO Berlin 2015 conference. He argues that Microservices are easier to test, deploy and monitor than monolithic applications. Spotify also aims to have as few as possible dependencies in their product, and microservices are very helpful for that.

Prototyping Mental Models with Lego Serious Play for Agile

by Ben Linders on  Dec 08, 2015

People can tell stories and express themselves when trying to solve complex problems using Lego. Jens Hoffmann facilitated the session "Prototyping an Agile Culture with LEGO® SERIOUS PLAY®" at the GOTO Berlin 2015 conference.

Docker Monitoring: Best Practices, and a Comparison of the cAdvisor and Prometheus Monitoring Tools

by Daniel Bryant on  Dec 06, 2015 2

At DockerCon EU 2015 Brian Christner presented an overview of ‘Docker Monitoring’ and shared best practices, a guide to the Docker stats API, and a comparison between three popular monitoring options: cAdvisor, ‘cAdvisor + InfluxDB + Grafana’, and Prometheus.

Testing Systems with a Nest of Tests

by Ben Linders on  Nov 28, 2015

James Lyndsay did a workshop titled "a nest of tests" at the Agile Testing Days 2015. In this workshop he explored how you can design large collections of tiny tests and visualize their output to test systems, and showed how tools can help you to do it. InfoQ interviewed him about this testing approach.

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