If you’re using Elasticsearch as part of an ELK stack solution for log analytics, you’ll need to manage the size of your indexed log data to achieve the best performance. Elasticsearch indices have no limit to their size, but a larger index takes longer to query and is more costly to store. Performance degradation is often observed with large Elastic indices and queries on large indices can even crash Elasticsearch when they use up all of the available heap memory on the node.

As we head into the holidays, there’s no better time to talk about bringing people together. And there’s no better way to bring employees together within a company aspiring to be data-driven than with a data literacy program. What data analytics processes should your organization put into place to increase data literacy? It all starts with establishing a training program to empower your people to work with data, regardless of their level of expertise.

Last week, our friends at Amazon hosted the 10th annual AWS re:Invent conference at the always-exciting Venetian Resort in Las Vegas. The ChaosSearch team was out in full post-Covid force and felt the incredible energy and enthusiasm as the conference returned to an in-person format for the first time since 2019. Our team of Chaosians stayed busy in the buzzing expo hall and attending conference talks so we could be first to hear about every new AWS service announcement, feature launch, and innovation.

Wondering whether your struggles with the data lake, cloud data platform, or analytics at large are typical? Are you ahead or behind the curve? ChaosSearch recently commissioned a survey to understand the advantages and setbacks organizations face today in these areas, and we’re excited to share a sneak peek of the results. To uncover more detailed findings from our research, sign up to receive the full report once it’s available here.