Our traffic changes, our teams work faster and our applications change!
Measure to understand if it's the best way to predict and fix abnormalities, there are a lot of technologies and ways to know how our applications and/or our infrastructure run, time series are once of these.
Are you interesting about this topic? Reserve your place.
6.30 Door opens
7.15 - 7.45 Gianluca Arbezzano @CurrencyFair (https://currencyfair.com/)
You can log everything, but if you are offline when the problem will be your system will be down. It is an ugly truth but you are not a 24h parser for your logs. Luckily there are a lot of tools that can help you to resolve this problem: Slack, IRC, email or a real slap – it is not important what you use but remember this concept. During this talk we will see how build a monitoring system based on InfluxDB, a popular time series database and how close the circle with a notification trigger if the system will detect an anomaly.
7.45 - 8.15 Breno de Avellar Gomes @NewRelic (http://newrelic.com)
A deployment can be tracked by a cURL call or integrated with automation tools such as Jenkins. The panels display metrics before and after the deployment. developers can evaluate the impact in pre-production in order to refine any aspect before it reaches production. The direct links to transaction traces speed up the identification of root causes. Furthermore analyzing code promoted to production ensures any unforeseen spikes are quickly traced.
8.15 - 8.45 Brian Brazil @RobustPerception (http://www.robustperception.io)
Prometheus is a next-generation monitoring system with a time series database at it's core. Once you have a time series database, what do you do with it though? This talk will look at getting data in, and more importantly how to use the data you collect productively.
8.45 - Social Time
Stay in touch!
*CurrencyFair will provide food and drink for everyone