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Prometheus collects data in the form of time series. The time series are built through a pull model: the Prometheus server queries a list of data sources (sometimes called exporters) at a specific polling frequency. Each of the data sources serves the current values of the metrics for that data source at the endpoint queried by Prometheus.
Prometheus (metrics and time-series) Linkerd (service mesh) OpenFaaS (management and auto-scaling of compute) NATS (asynchronous message bus/queue) Kubernetes (declarative, extensible, scale-out, self-healing clustering) SMACK [10] Apache Spark (big data and MapReduce) Apache Mesos (node startup/shutdown) Akka (toolkit) (actor implementation)
Grafana Loki - a log aggregation platform inspired by Prometheus first made available in 2019 [26] Grafana Mimir - a Prometheus-compatible, scalable metrics storage and analysis tool released in 2022 that replaced Cortex [27] Grafana Tempo - a distributed tracing tool, released in 2021 [28]
An example spangram with corresponding theme words: PEAR, FRUIT, BANANA, APPLE, etc. Need a hint? Find non-theme words to get hints. For every 3 non-theme words you find, you earn a hint.
Posted Dec. 11, the video shows clips of the Grinch-obsessed kitty intensely watching the movie. It also includes text explaining Ella's love story with the animated flick. "Five years ago, l ...
The commercial Checkmk editions use their own metric and graphing system. Time series metrics can be analysed over long intervals using interactive HTML5 graphs. The maximum resolution is one second. Data can be imported from a variety of data sources and metrics formats (JSON, XML, SNMP etc.) and stored on the disk of a long-term data storage ...
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There are many ways to measure the performance of a parallel algorithm running on a parallel processor. The Karp–Flatt metric defines a metric which reveals aspects of the performance that are not easily discerned from other metrics.