We at Egen love dealing with Elastic Stack. Being a distributed system, it is complex to manage as well as use it. Let us share our learnings of architecting and managing small as well as large-scale Elasticsearch clusters.

Topics Covered:

1. Brief overview Elasticsearch Architecture

2. Sizing Elasticsearch clusters (including HA)

3. Index and Shard Optimizations

4. Index Life Cycle Management (ILM)

5. Self-hosted on Kubernetes vs Elastic Cloud

6. Lots of demos

And a Q&A at the end of the webinar.

Presenters:

Sri Harsha Datla: Software Engineer at Egen

Sri is an Elastic Certified Engineer, currently working as a Software Engineer at Egen. Working on Egen's Industrial IoT project for the last couple of years, he deals with Elastic eco-system on a daily basis, both from an Elastic Administrator and a data engineer's perspective. Apart from this, he has worked within modern distributed stack involving Kafka, data pipelines, microservices, containers, and AWS Cloud.

Praveen Salitra: Director of Technology at Egen

Praveen is a Cloud Architect and the Director of Technology at Egen, living in Chicago. Over the last 10 years, he has been involved “hands-on” on multiple projects developing distributed platforms, microservices, APIs, data pipelines, user facing apps, and infrastructure automation. He has led technical teams in Industrial IoT, Healthcare, and Retail solutions for various startups and enterprises. He has trained more than 8000 engineers on modern technical stack, including JavaScript frameworks, Java, AWS, Azure, Docker, and Kubernetes. In the last few years, he has started public speaking and advising companies on the Cloud-Native architectures.