Build and Observe a Production Grade Event-Driven Platform with Elasticsearch

Join us for a meetup on April 18th (the first day of Kubecon Europe 2023), in our Elastic office in Amsterdam! Doors open at 17.30 and the presentations begin at 18.00. Food, refreshments, and networking to follow. We wrap up at 20.30.

Address: Elastic's office, Keizersgracht 281, 1016 ED Amsterdam

Agenda:
17.30 Doors open
18.00 Talk #1 How to build an event-driven integration platform by Gastromatic and Memphis.dev (45 minutes)
18.45 Talk #2 Deep dive into Kubernetes monitoring with Elastic Observability (45 minutes)
19:30 Networking, pizza and drinks
20.30 Wrap up

Talks:

**How to build an event-driven integration platform by Gastromatic and Memphis.dev**
As the organization grows, so is the amount of microservices, data clients, and events.
Different systems require to communicate with each other in an async manner and to trigger specific actions based on specific events.
In this talk, we will guide you through our own experience in building such a platform internally. What were the challenges? the tech exploration and the questions before making an architectural decision, and how Elasticsearch is positioned as the “auditing warehouse” for every moving event.

Speaker: Yaniv Ben Hemo | *Co-founder @Memphis.dev*

Deep dive into Kubernetes monitoring with Elastic Observability
In this session we will learn how to use Elastic Observability to get a better understanding of our Kubernetes clusters and the applications that run on them.
Join us to learn new ways to get your data into Elastic with Elastic Agent and discuss some of the best practices to shape up your Kubernetes monitoring solution.

• Learn about how ingest configuration can be done through Kubernetes manifests with the option to centrally manage it
• Deep dive into node scope vs cluster scope metrics collection and what you can learn from each.
• Understand how dynamic workload monitoring (aka autodiscovery) enables application teams to decide what needs to be monitored at workload level
• Automatic APM instrumentation, to automatically attach an APM Agent and collect APM traces from running Pods.
• Quick intro into watchers/alerts and how those can help us with issues’ detection.

See all these combined with a hands on demo including logs and metrics collection, dynamic workload monitoring, APM instrumentation, and synthetics monitoring for applications.
Furthermore, we will convert collected data into actionable observability with alerts and machine learning.
Last but not least, learn about our planned next steps and discuss your feedback with us.

Speakers: Christos Markou | Senior Software Engineer @Elastic & Miguel Luna | Principal Product Manager @Elastic