The document discusses the collaboration between InfluxDB and Grafana in handling IoT data, presenting performance benchmarks and comparisons against PostgreSQL. It highlights the efficiency of InfluxDB with rapid data loading speeds and scalability options while providing installation instructions for AWS. Additionally, it emphasizes InfluxDB's strengths in data aggregation and high availability.

1. INFLUXDB AND GRAFANA
figh$ng together with IoT data a1ack

2. Ivan Vaskevych @

3. Path
What
Why
How
Plot some graphs. Live!

4. InfluxDB
MMXIII

5. Top ranking
source: h1ps://db-engines.com/en/ranking/$me+series+dbms

6. Ranking Driven (“R&D” J)
source: h1ps://db-engines.com/en/ranking/$me+series+dbms

7. Why we use it

8. Coming soon…

10. Just how fast?
• Single-node c4.8xlarge AWS server (36 vCPUs,
60GB of RAM)
• Pushing data from another instance in AWS
• Result:
loaded 3888000 items in 9.311872sec with 32
workers (mean rate 417531.503762/sec,
180.18MB/sec from stdin)

11. InfluxDB vs PostgreSQL. Fight!
• Aggrega$on:
SELECT avg(value), stddev(value) FROM measurements
WHERE type = 'PM25' AND $me BETWEEN 'XXX' AND
'YYY';
• Count:
SELECT count(*) FROM measurements WHERE type =
'PM25' AND $me BETWEEN 'XXX' AND 'YYY';

12. InfluxDB vs PostgreSQL

13. Moar benchmark, plz…
h1ps://www.influxdata.com/_resources/

14. Hos$ng on AWS
sudo yum update
sudo reboot
cat <<EOF | sudo tee /etc/yum.repos.d/influxdb.repo
[influxdb]
name = InfluxDB Repository - RHEL
baseurl = h1ps://repos.influxdata.com/rhel/7Server/x86_64/stable
enabled = 1
gpgcheck = 1
gpgkey = h1ps://repos.influxdata.com/influxdb.key
EOF
sudo yum install influxdb

15. Horizontal scalability?

16. High Availability
influxdb-relay

17. Demo $me!