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k6 and SpeedCurve performance logs are currently landing in cloud storage as raw Kubernetes logs. The task is to move those logs into Grafana and surface the insights I actually care about—request metrics, error rates, resource usage, average response time, plus the 90th and 95th percentiles. The workflow I picture is straightforward: pull the existing log files from the storage bucket, transform or enrich them if required, then feed them into Grafana using whichever data-source plugin (prometheus , Promtail, Loki, InfluxDB, etc.) makes the most sense. Once the pipeline is stable, craft a set of Grafana dashboards that break out each metric clearly and update in near-real-time. Deliverables • End-to-end ingestion pipeline from the cloud bucket holding the Kubernetes logs into Grafana • A reusable parsing/transform script or config that extracts the fields needed for every run of k6 and SpeedCurve • Dashboards that visualize request metrics, error rates, CPU / memory usage, average response time, and the 90th & 95th percentile latencies • Brief hand-off notes outlining how to add new test runs or extend the dashboards later Everything must be self-contained, version-controlled and ready to run in my existing environment.
Project ID: 40187654
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Hi, I've reviewed your project to move k6 and SpeedCurve performance logs from cloud storage into Grafana dashboards with the insights you need. This involves extracting metrics like request counts, errors, resource usage, and key latency percentiles with a clean, stable ingestion pipeline. I have solid experience working with Kubernetes environments and setting up Prometheus-based monitoring pipelines. I can create a parsing script to transform logs into structured metrics and leverage the best Grafana data source plugin for your needs (Loki, Prometheus, etc.). Once set, I'll build clear, near real-time dashboards and provide concise hand-off notes so you can maintain and extend them easily. I aim to deliver a version-controlled, self-contained solution integrated smoothly into your environment and focus on long-term maintainability. If that sounds good, I can start by discussing your preferred storage bucket technologies and existing Grafana setup. Which storage bucket and environment setup are you currently using for the Kubernetes logs? Thanks, Andrew
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