InfoQ Homepage Monitoring Content on InfoQ
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Honeycomb - A Tool for Debugging Complex Systems
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.
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Chaos Monkey 2.0 Runs via Spinnaker
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.
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Continuous Deployment at Coolblue
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.
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Monitoring Metrics for Docker Containers
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.
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Exploring Performance Counters with F# WMI Type Provider
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.
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Adrian Cockcroft on Analyzing Response Time Distributions for Microservices
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.
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Microservices at Spotify
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.
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Docker Monitoring: Best Practices, and a Comparison of the cAdvisor and Prometheus Monitoring Tools
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.
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Interview with Runscope on API Testing and Monitoring
Runscope, an API monitoring and testing vendor, announced the general availability of Live Traffic Alerts, a real time API performance monitoring solution for live production traffic for key API transactions. InfoQ used this opportunity to speak to Runscope about their vision and the value their platform brings to its consumers.
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Leveraging Data Science to Improve Monitoring
At the recent devopsdays Amsterdam 2015, Patrick Roelke contended that monitoring still has lots of issues. Roelke believes that data science can help by eliminating static thresholds and coalescing information from various data sources into a single metric. The talk included a quick overview of monitoring tools that leverage data science: Kale, Bosun and AnomalyDetection.
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Handling Incidents and Outages
David Mytton, CEO at Server Density, shared with the devopsdays Amsterdam 2015 crowd how they handle incidents and outages. The process is grounded on a key set of principles: frequent public updates; exhaustive logging of the response activities; team effort and effective escalation. Server Density draws a lot of inspiration from the aviation industry, renowned for its safety procedures.
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Monitoring Microservices and Containers: A Challenge by Adrian Cockcroft
At GlueCon 2015, Adrian Cockcroft presented a list of rules for monitoring microservice and container-based applications. In addition to these guidelines, Cockcroft also highlighted a series of challenges for monitoring cloud-native container-based systems, and introduced his ‘Spigo/simianviz’ microservice simulation and visualisation tool.
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Q&A on New Relic Software Analytics Improvement
New Relic has released a set of new features to its Software Analytics Platform. Service Maps is a real time visual map focused on services. Together with a tool for Docker monitoring, a database dashboard for NoSQL databases and an unified alerts platform, the company wants to reduce complexity in modern software architecture.
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Weaveworks Release ‘Weave Scope’ for Container and Microservice Monitoring
Weaveworks, creators of the Weave Docker virtual networking solution, have released a pre-alpha version of 'Weave Scope', an open source developer-focused container monitoring tool. Scope automatically generates a map of containers, enabling developers to visualise, monitor, and control applications by using the information exposed to drive deployment and operational decisions.
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Phil Calcado on Lessons Learnt During SoundCloud's Microservice Migration
At QCon London 2015 Phil Calcado shared lessons learnt from SoundCloud’s move from a monolithic to microservices architecture, and stated that the core requirements for building a microservice platform include developing capabilities for rapid provisioning, basic monitoring and rapid application deployment.