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Prometheus is a free software application used for event monitoring and alerting. [2] It records metrics in a time series database (allowing for high dimensionality) built using an HTTP pull model, with flexible queries and real-time alerting.
Grafana Labs launched a series of related open-source projects to complement Grafana: 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]
The problem for graphs is NP-complete if the edge lengths are assumed integers. The problem for points on the plane is NP-complete with the discretized Euclidean metric and rectilinear metric. The problem is known to be NP-hard with the (non-discretized) Euclidean metric. [3]: ND22, ND23
A time series database is a software system that is optimized for storing and serving time series through associated pairs of time(s) and value(s). [1] In some fields, time series may be called profiles, curves, traces or trends. [2]
Clearly, a #P problem must be at least as hard as the corresponding NP problem, since a count of solutions immediately tells if at least one solution exists, if the count is greater than zero. Surprisingly, some #P problems that are believed to be difficult correspond to easy (for example linear-time) P problems. [18]
An integration with Grafana [12] is available as well. Log-based and event-based monitoring, in which key events can be filtered out and actions can be triggered based on these events.{[citation needed] In order to ensure a very broad monitoring, Checkmk currently has 2000+ plug-ins in each edition – all of which are licensed under GPLv2.
As an example, a human operator may specify that three instances of a particular "pod" (see below) need to be running, and etcd stores this fact. If the Deployment controller finds that only two instances are running (conflicting with the etcd declaration), [ 37 ] it schedules the creation of an additional instance of that pod.
It is known that they lie outside of the class NC, a class of problems with highly efficient parallel algorithms, because problems in NC can be solved in an amount of space polynomial in the logarithm of the input size, and the class of problems solvable in such a small amount of space is strictly contained in PSPACE by the space hierarchy theorem.