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Top Elasticsearch Metrics to Monitor | Troubleshooting Common error in Elasticsearch

Monitoring Elasticsearch metrics is absolutely essential! Monitoring gives you information about the functionality, overall condition, and performance of your Elasticsearch cluster. Without monitoring, you risk missing important “red-flags” that could make your cluster inaccessible or crash. Which could result in data loss and downtime; both of which would be expensive for your company.

Configure Cribl Search to Explore and Catalog Petabytes of Data

If you’ve ever found yourself pondering the hidden treasures tucked away within thousands of files in Amazon S3, this is the perfect guide for you. In this blog post, we’re going to look at how you can use the Cribl Search fields feature to catalog and explore the fields in petabytes of data stored in Object Stores. In the Fields Tab within Cribl Search, all returned fields are categorized according to five different dimensions.

Cribl Search Adds 500% More Searchable Datasets

It’s been about 8 months since we first launched Cribl Search. For our early adopters, it’s been a game changer, and with each monthly release, we continue to innovate — expanding access to new datasets and adding new functionalities. If Crib Search is new to you, here is a quick recap. Cribl Search flips the observability data search paradigm on its head. You no longer have to collect, ingest, and index your data before you can search it.

Elastic Search 8.9: Hybrid search with RRF, faster vector search, and public-facing search endpoints

Elastic Search 8.9 introduces hybrid search with Reciprocal Rank Fusion (RRF) to combine vector, keyword, and semantic techniques for better results. This release also brings performance improvements in vector search and ingestion with response times that are up to 30%+ faster. Users also have more ingestion options with the new SharePoint Online connector, which includes document-level security.

Best Practices for Organizing and Maintaining Elasticsearch Indices

In Elasticsearch, an index is a logical container or namespace that holds a collection of documents that are related in some way. It is the primary unit for organizing and storing data. Indices in Elasticsearch serve as containers for organizing and managing data, enabling efficient search and retrieval operations. Understanding the concept of indices is crucial for effective data organization and utilization in Elasticsearch-based applications.

OpenSearch Dashboards vs Kibana

In this guide, we will compare two of the leading data visualization tools based upon open-source software that are available for use for metrics, traces and log analysis. To allow new users to know exactly which solution may be best suited to their needs, we wanted to explore in more depth a comparison between OpenSearch Dashboards and Kibana across various aspects in our latest guide covering the differences between leading open-source software.