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InfoQ Homepage Metrics Content on InfoQ

  • Grafana Adds Log Data Correlation to Time Series Metrics

    The Grafana team announced an alpha version of Loki, their logging platform that ties in with other Grafana features like metrics query and visualization. Loki adds a new client agent promtail and serverside components for log metadata indexing and storage.

  • Uber Open Sources Its Large Scale Metrics Platform M3

    Uber’s engineering team released its metrics platform M3 as open source which it has been using internally for some years. The platform was built to replace its Graphite based system, and provides cluster management, aggregation, collection, storage management, a distributed time series database (TSDB) and a query engine with its own query language M3QL.

  • Enabling Continuous Delivery with a Dedicated Team

    Robin Weston describes how an external enablement team was able to introduce continuous delivery practices in an organization with high resistance to change and siloed teams. Rather than just bringing in new technology and tools, the team focused on sharing and educating teams. Practices ranged from continuous integration, to following the test pyramid, or reducing cycle time by identifying waste.

  • Building Observable Distributed Systems

    Today's systems are more and more complex; microservices distributed over the network and scaling dynamically, resulting in many more ways of failure, ways we can't always predict. Investing in observability gives us the ability to ask questions to systems, things we never thought about before. Some of the tools that can be used for this are metrics, tracing, structured and correlated logging.

  • Thanos - a Scalable Prometheus with Unlimited Storage

    The Improbable engineering team open sourced Thanos, a set of components that adds high availability to Prometheus installations by cross-cluster federation, unlimited storage and global querying across clusters.

  • Metrics Collection from Large Scale IoT Deployments at Vivint

    Vivint's engineering team built their own metrics collection platform to collect and analyze metrics from their deployed devices. The key motivation behind writing their own system was to be able to store only aggregated data and focus on its analysis, which they achieve by their Rothko project.

  • How to Measure Continuous Delivery

    Stability and throughput are the things that you can measure when adopting continuous delivery practices. These metrics can help you reduce uncertainty, make better decisions about which practices to amplify or dampen, and steer your continuous delivery adoption process in the right direction.

  • Metrics Collection and Monitoring at Robinhood Engineering

    The Robinhood server operations team published a series of articles talking about their metrics collection, monitoring and alerting infrastructure. OpenTSDB, Grafana, Kafka and Riemann form the core of the stack, with Kafka acting as a proxy layer from which the data is pushed into Riemann for stream processing of the metrics and into OpenTSDB for storage.

  • 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.

  • DevOps Days Kiel Day 2

    Round up of the talks at DevOps Days Kiel's second day.

  • Eight Dragons of Agile Measurement

    Larry Maccherone, Director of Analytics and Research at AgileCraft and frequent speaker at agile conferences like QCon, gave a webinar in which he discusses the major risks and challenges when introducing metrics in an agile environment. Risks are referred as "dragons" and the techniques to get rid of them as "slayers".

  • Defining Devops as CALMSS

    Forrester has come-up with a new definition of DevOps. Forrester has added an additional “S” for sourcing in the CALMS definition of DevOps. They believe that DevOps must be supported by a solid sourcing strategy to extend the ecosystem. This then brings them to the acronym of CALMSS.

  • Measuring Success in Agile Organizations

    Matthew Badgley, shares ten tips for measuring agile success in a recent VersionOne blog based on the 9th annual State of Agile Survey.

  • Codecity for Eclipse Visualises Source Code Metrics

    Codetrails has released Codecity for Eclipse, which provides a visualisation of Java packages and classes in a 3D visualisation to identify where code can be improved. InfoQ evaluates the plug-in.

  • Using Objectives and Key Results in a Results-Only Work Environment Company

    Matt Rogish talked about using Objectives and Key Results (OKRs) for company, team, and personal goal setting at the No Pants Festival 2015 in Antwerp, Belgium. InfoQ interviewed Rogish about what OKRs are and how you can use them, their strengths and pitfalls, doing annual performance reviews and managing people with numerical goals, and starting with OKRs.

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