Dear Friends,

We are collaborating with the AWS User Groups Berlin to bring you another great event for October. We have two talks that talk about observability in AWS, but with lessons you can apply in any environment and architecture.

Please sign up on the AWS UG Meetup page here: https://www.meetup.com/berlinawsug/events/303754232/

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Agenda:
18:00 - Warming up and networking chat

18:15 - Intro by AWS UG Berlin & Grafana & Bonial

18:30 - 19:15 - Vadym Kazulkin // Detect operational Anomalies in Serverless Applications with Amazon DevOps Guru

In this talk we’ll use a serverless application that uses various AWS resources. We'll explore how Amazon DevOps Guru recognizes operational issues and anomalies, such as increased latency and error rates.
We will also explore DevOps Guru "Proactive Insights" which recognizes configurational anti-patterns, such as missing failure destination on Kinesis Data Streams or DLQ on SQS or over-provisioning of AWS services like DynamoDB tables.

19:15 - 19:35 - Network break with snacks & drinks

19:35 - 20:20 - Daniel Paulus // Monitoring with events with Grafana and AWS

In the world of observability, metrics and logs are the usual suspects for monitoring system health and diagnosing issues. But what happens when you don't know what to look for in advance? We tackle this challenge by incorporating business-critical events into our observability stack.
Join me for this talk as I delve into how events can fill the gaps left by traditional metrics and logs. I'll share our journey in identifying which events are worth storing and how our technical setup evolved from periodic PostgreSQL pulls to real-time streaming with AWS Firehose. You'll see real-world examples through our Grafana dashboards and learn how this approach allows us to perform ad-hoc analyses spanning over two years without incurring huge costs.

20:20 - 20:45 - Closing Announcements & Networking

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Please sign up on the AWS UG Meetup page here: https://www.meetup.com/berlinawsug/events/303754232/