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InfluxDB + Prometheus
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Paul Dix
August 18, 2017
Programming
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InfluxDB + Prometheus
Slides from my Promcon2017 talk on integrating InfluxDB and Prometheus.
Paul Dix
August 18, 2017
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Transcript
InfluxDB + Prometheus Paul Dix CTO @ InfluxData @pauldix paul@influxdb.com
Open Source Time Series Database
• OSS - MIT License • Written in Go •
SQL-ish query language • Time Series Merge Tree storage engine & inverted index • Commercial Enterprise - HA + Scale Out Clustering
Data Model Measurement cpu,host=serverA,num=1,region=west idle=1.667,system=2342.2 1492214400000000000 Tags Fields nanosecond epoch
float64, int64, bool, string uint64 in next release
Example Query select percentile(90, value) from cpu where time >
now() - 12h and “region” = ‘west’ group by time(10m), host
Process: • OSS - MIT License • Written in Go
• Process, monitor, alert, act/execute • TICK script • Streaming & Batch • Store data back into InfluxDB • User Defined Functions • Service Discovery & Pull
Collect: • OSS - MIT License • Written in Go
• Agent deployed across infrastructure • Input plugins - system, docker, postgres, mysql, cassandra, elastic, hadoop, redis, nginx, apache, etc. • Output plugins - InfluxDB, Graphite, Kafka, etc.
Why is a competitor at Promcon?
What is Prometheus?
Prometheus Server
Alert Manager
Exposition Format
Client Libraries • Supported • Go • Java • Python
• Ruby • Community • C++ • C# • Node.js • PHP • etc…
PromQL
API /api/v1/series /api/v1/label/<name>/values
Remote Read/Write API
Prometheus is more than just the server
Influx + Prometheus today
We’re embracing pull & push
Prometheus Scrape Targets Kapacitor
https://github.com/prometheus/prometheus/issues/2911 https://github.com/influxdata/prometheus_metric_normalizer
Remote Read/Write
Prometheus Config # Remote write configuration (for Graphite, OpenTSDB, or
InfluxDB). remote_write: - url: "http://localhost:9201/write" # Remote read configuration (for InfluxDB only at the moment). remote_read: - url: "http://localhost:9201/read"
metric -> measurement labels -> tags value -> only field
(float64)
Remote Read Protobuf over HTTP
Reads message Query { int64 start_timestamp_ms = 1; int64 end_timestamp_ms
= 2; repeated LabelMatcher matchers = 3; } enum MatchType { EQUAL = 0; NOT_EQUAL = 1; REGEX_MATCH = 2; REGEX_NO_MATCH = 3; } message LabelMatcher { MatchType type = 1; string name = 2; string value = 3; }
Remote Read JSON over HTTP
Unnecessary Overhead
Can we push down processing?
Influx + Prometheus future
First, pull remote gateway into InfluxDB!
Influx Data Model tags + value + time
Like Prometheus message Sample { double value = 1; int64
timestamp_ms = 2; } message LabelPair { string name = 1; string value = 2; } message TimeSeries { repeated LabelPair labels = 1; // Sorted by time, oldest sample first. repeated Sample samples = 2; }
metric is __name__ label
But we’ll continue to support int64, bool, string, and uint64
IFQL - (Influx Functional Query Language) select(database:"foo",where:{'metric'="requests"}) .range(start:-4h) .window(period:10m) .sum()
.interpolate(start:-4h,every:10m,value:{mean($)})
Decouple QL from Processing from Storage
None
DAG { "operations": [ { "id": "select", "kind": "select", "spec":
{ "database": "mydb" } }, { "id": "range", "kind": "range", "spec": { "start": "-4h", "stop": "now" } }, { "id": "sum", "kind": "sum" } ], "edges": [ { "parent": "select", "child": "range" }, { "parent": "range", "child": "sum" } ] } }
Pushdown Predicates
Opportunities to improve storage/remote?
Bulk Write
Long term storage and query for Prometheus SaaS & On-Premise
Thank you @pauldix paul@influxdb.com