🐾 Observability with Elastic and Elastic APM (19:10)
The goal of observability is to give you the ability to identify issues or potential issues in a production system. The ELK stack offers you all the pieces that you need to reach this.
This talk gives an overview about the observability story on top of the ELK stack. The ELK stack is widely used to store logs from operational systems. But we can do way more than that! Over time users started putting metrics into Elasticsearch and Elastic introduced Metricbeat for automated collection of metrics. Similarly, uptime data has been a highly valued type of data alongside logs and metrics. And then Elastic APM was introduced to add tracing directly to an application.
We will go through all these pieces in the talk and we will also see some demos how those work in practice and how you can “observe” your production system with the ELK stack. The demos will be based on a .NET application.
🙍♂️Greg Kalapos is a software engineer in the observability team at Elastic. He is specialized on .NET and Microsoft technologies.
🍪 Break (19:55)
➕ Scaling Your Elasticsearch Cluster (20:05)
Elasticsearch is highly scalable, but some recent additions make it easier to tie everything together. In this talk we discuss:
* Frozen Indices for much higher storage density per Elasticsearch node and its tradeoffs.
* Index Lifecycle Management or how to automate having a multi-tier architecture and how this actually works in the background.
* Rollups or how to aggregate metrics over time.
The goal of this talk is to make your cluster management less complex and more cost effective.
🙍♂️ Philipp Krenn
🍻 Networking (20:50)