PromQL

PromQL Expressions

List of operations and functions to your PromQL expressions.

Arithmetic binary operators:

\+ (addition)
\- (subtraction)
\* (multiplication)
/ (division)
% (modulo)
^ (power/exponentiation)

Comparison binary operators:

== (equal)
!= (not-equal)
\> (greater-than)
< (less-than)
\>= (greater-or-equal)
<= (less-or-equal)

Logical/set binary operators:

and (intersection)
or (union)
unless (complement)
Aggregation operators:

sum (calculate sum over dimensions)
min (select minimum over dimensions)
max (select maximum over dimensions)
avg (calculate the average over dimensions)
stddev (calculate population standard deviation over dimensions)
stdvar (calculate population standard variance over dimensions)
count (count number of elements in the vector)
count_values (count number of elements with the same value)
bottomk (smallest k elements by sample value)
topk (largest k elements by sample value)
quantile (calculate ?-quantile (0 ? ? ? 1) over dimensions)

Get the total memory in bytes:

node_memory_MemTotal_bytes

Get a sum of the total memory in bytes:

sum(node_memory_MemTotal_bytes)

Get a percentage of total memory used:

((sum(node_memory_MemTotal_bytes) - sum(node_memory_MemFree_bytes) - sum(node_memory_Buffers_bytes) - sum(node_memory_Cached_bytes)) / sum(node_memory_MemTotal_bytes)) * 100

Using a function with your query:

irate(node_cpu_seconds_total{job="node-exporter", mode="idle"}[5m])

Using an operation and a function with your query:

avg(irate(node_cpu_seconds_total{job="node-exporter", mode="idle"}[5m]))

Grouping your queries:

avg(irate(node_cpu_seconds_total{job="node-exporter", mode="idle"}[5m])) by (instance)