Data is not helpful if you are drowning in it. This is especially true for the thousands of companies using the open source Elasticsearch solution to observe, measure, and analyze their log and event data.
ELK was originally touted as the fastest and most cost-efficient approach to logging challenges. But as the data grows beyond expectations, Elasticsearch is hitting walls, and these companies are suffering from unexpected infrastructure and human capital costs for managing the ballooning data.
If you are facing untenable costs or struggling with data retention, this webcast is for you.
About the presenters: