Splunk is pleased to announce the general availability of Federated Search for Amazon S3, a new capability that allows customers to search data from their Amazon S3 buckets directly from Splunk Cloud Platform without the need to ingest it. Enterprises rely heavily on cloud object storage services as the de facto destination for their new data to leverage the cost, compliance, security, scalability and manageability benefits that cloud platforms can offer.

If you’re thinking of running OpenSearch on Kubernetes, you have to check out the OpenSearch Kubernetes Operator. It’s by far the easiest way to get going, you can configure pretty much everything and it has nice functionality, such as rolling upgrades and draining nodes before shutting them down. Let’s get going 🙂

In a previous post, we talked about synonyms and their importance for providing a great search experience. Using synonyms improves search results by: Search results need to evolve over time. New items go on sale, new trends change what users search for, and new terms become part of a search domain. Our search experience must evolve as well. As part of evolving our search experience, it's important to keep our synonyms updated.

Elastic Search 8.10 brings programmatic personalization of your search experiences to a new level while expanding the open code integration catalog with knowledge base and communication systems connectors. These new features allow customers to: Elastic Search 8.10 is available now on Elastic Cloud — the only hosted Elasticsearch® offering to include all of the new features in this latest release.

Aiven for OpenSearch® now includes OpenSearch Security, with SSO authentication, role-based access control, audit logging, and multi-tenant Dashboards.

In this tutorial, you’ll see how to deploy Solr on Kubernetes. You’ll also see how to use the Solr Operator to autoscale a SolrCloud cluster based on CPU with the help of the Horizontal Pod Autoscaler. Let’s get going! 🙂

Vector search is a powerful tool in the information retrieval tool box. Using vectors alongside lexical search like BM25 is quickly becoming commonplace. But there are still a few pain points within vector search that need to be addressed. A major one is text embedding models and handling larger text input.

Modalova is an up-and-coming French ecommerce marketplace offering a curated selection of top brands like ASOS, Tommy Hilfiger, Michael Kors, and Adidas. Modalova's mission is to bring the best in men's and women's fashion on one site to simplify the online shopping experience — no more opening 35 tabs to find the right article. No more downloading 50 different apps to find the right size — it's all in one location!