InfoQ Homepage Metrics Content on InfoQ

  • AWS Publishes Best Practices Guide for Operational Dashboards

    AWS recently added to the Amazon Builders' Library their best practices for building dashboards for operational visibility. The document includes a detailed description of the different types of dashboards that exist at Amazon as well as a discussion of the design best practices used to create dashboards.

  • VMware Tanzu Service Mesh from a Developer's Perspective

    Deepa Kalani and Ramiro Salas from the VMware team spoke at SpringOne 2020 Conference last week about the service mesh product and how it helps developers with Global Namespaces to implement access control and security policies, as well as visualization tools to show application-centric metrics.

  • Using Measurement to Optimise Remote Work

    Dave Longman of HeadForwards wrote about using data to demonstrate the effectiveness of remote work during lockdown. Michael Schrage of MIT’s School of Management also wrote about the importance of using data-driven insights to improve performance in the current climate. Laura Giurge of London Business School talked about how isolation is teaching individuals and firms to be remotely effective.

  • Metrics Collection at Scale: Learning from Uber's M3

    In a recent InfoQ podcast, Rob Skillington, co-founder and CTO at Chronosphere, shared his experience and opinions on the topic of observability in modern distributed systems. Key topics covered: metrics collection at scale, multi-dimensional metrics and high-cardinality, the importance of the developer experience, and the value of open standards, such as OpenMetrics.

  • Predicting the Future with Forecasting and Agile Metrics

    Common estimation approaches often fail to give us the predictability we want. Forecasting provides a range of possible outcomes with the chance of outcomes becoming reality. It can answer questions like “When will it be done?” or “What can we deliver by xx?” with confidence.

  • What's New in MicroProfile 3.3

    The Eclipse Foundation released MicroProfile 3.3 featuring updates to five APIs - Rest Client, Config, Fault Tolerance, Metrics and Health. Other improvements include clarifications and enhancements to specifications and documentation, improved integration among all the MicroProfile APIs, interoperability across different MicroProfile implementations, and a complete set of artifacts for each API.

  • Elastic Stack 7.6 Released with Security, Performance, and Observability Improvements

    Elastic announced the release of Elastic Stack 7.6. This release contains a number of security improvements including a new SIEM detection engine and a redesigned SIEM overview dashboard page. This release also includes performance improvements to queries that are sorted by date, enhanced supervised machine learning capabilities, and support for ingesting Jaeger trace data.

  • Amazon Announces AWS Firelens – a New Way to Manage Container Logs

    Recently, Amazon announced a new log aggregation service called AWS Firelens. The service unifies log filtering and routing across all AWS container services including Amazon ECS, Amazon EKS, and AWS Fargate.

  • Managing eBay Vast Service Architecture Using Knowledge Graphs

    Knowledge graphs describe knowledge domains based on expert input, data, and machine learning algorithms. eBay is using an application/infrastructure knowledge graph to manage its vast service architecture and provide a better experience for the roughly 200M buyers visiting the site.

  • Microsoft Announces 1.0 Release of Kubernetes-Based Event-Driven Autoscaling (KEDA)

    Microsoft has announced the 1.0 version of the Kubernetes-based event-driven autoscaling (KEDA) component, an open-source project that can run in a Kubernetes cluster to provide "fine grained autoscaling (including to/from zero)" for every container. KEDA also serves as a Kubernetes Metrics Server and allows users to define autoscaling rules using a dedicated Kubernetes custom resource.

  • Scaling Graphite at's engineering team scaled their Graphite deployment from a small cluster to one that handles millions of metrics per second. Along the way, they modified and optimized Graphite's core components - the carbon-relay and carbon-cache, and the rendering API.

  • Q&A on Cloud Discovery Tool for Multi-Cloud Environments

    Cloud Discovery is an open-source tool from Twistlock that connects to cloud providers and gets an inventory of all the various infrastructure resources deployed. Cloud Discovery gathers and reports resources metadata in an aggregated way. Furthermore, application security holes can be identified when there’s more visibility across environments, such as which resources are missing a firewall rule.

  • Three Pillars with Zero Answers: Rethinking Observability with Ben Sigelman

    At KubeCon NA, held in Seattle, USA, in December 2018, Ben Sigelman presented “Three Pillars, Zero Answers: We Need to Rethink Observability” and argued that many organisations may need to rethink their approach to metrics, logging and distributed tracing.

  • Making Machine Learning Adoptable for Clinicians

    Dr. Alexander Scarlat explains the core tenants of machine learning in his 12-part series "Machine Learning Primer for Clinicians." Scarlat covers defining aspects of machine learning, followed by examples that communicate aspects of measuring the performance of machine learning models. The series uses animated charts in place of the math to help readers understand the machine learning concepts.

  • 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.


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