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23 de mar. de 2020 · Prometheus 中文文档. Prometheus 是按照 《Google SRE 运维之道》的理念构建的，具有实用性和前瞻性。. Prometheus 社区非常活跃，基本稳定在 1个月1个版本的迭代速度，从 2016 年 v1.01 开始接触使用以来，到目前发布到 v2.13.x ，你会发现 Prometheus 一直在进步、在优化。. Go ...
Prometheus is a technology that collects and stores time series data. Time series are fundamental to Prometheus; its data model is arranged into: You can store time series data in any relational database, however, these systems are not developed to store and query large volumes of time series data.
Prometheus - Apple TV (ES) Disponible en Disney+. La acción comienza en un planeta (presumiblemente la Tierra) en una etapa prebiótica. Al borde de una cascada un extraterrestre humanoide espera mientras una enorme nave espacial, que permanecía inmóvil, empieza a alejarse. El humanoide bebe un líquido negro burbujeante y empieza a ...
Prometheus vs. Graphite Scope. Graphite focuses on being a passive time series database with a query language and graphing features. Any other concerns are addressed by external components. Prometheus is a full monitoring and trending system that includes built-in and active scraping, storing, querying, graphing, and alerting based on time series data.
Prometheus. Un equipo de científicos y exploradores, se aventuran a los más obscuros rincones del universo buscando los orígenes de la humanidad. Sin embargo, lo que encuentran representa una amenaza a la vida en la Tierra, desatando una terrorífica batalla ¡para salvar el futuro de la raza humana! IMDb 7,0 2 h 4 min 2012.
Prometheus was the ancient Greek Titan-god of forethought and crafty counsel who was given the task of moulding mankind out of clay. His attempts to better the lives of his creation brought him into conflict with Zeus. Firstly he tricked the gods out of the best portion of the sacrificial feast, acquiring the meat for the feasting of man. Then, when Zeus withheld fire, he stole it from heaven ...
For example, this expression returns the unused memory in MiB for every instance (on a fictional cluster scheduler exposing these metrics about the instances it runs): (instance_memory_limit_bytes - instance_memory_usage_bytes) / 1024 / 1024. The same expression, but summed by application, could be written like this:
