Blog
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Correlating security events across different log sources
All enterprises, large and small, across different industries and geographies, are vulnerable to security threats to their valuable data. To detect and respond to these threats, organizations use commercial security information and event management (SIEM) solutions to gather security-related information and identify potential security issues. With the constantly changing techniques used by adversaries in the evolving threat landscape, it is...
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Optimize OpenSearch index shard sizes
This blog post discusses optimizing the number shards in an OpenSearch index. Optimizing shard sizes helps you get the best performance from OpenSearch.
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Improving JSON parsing performance in opensearch-java
As an open-source enthusiast, I believe in the power of collaboration to make open-source projects faster and more efficient. In this blog post, I will share how my team at Linagora, contributing to the Apache James project, identified and addressed a performance issue in the OpenSearch Java client using benchmark tools and flame graphs, in collaboration with the OpenSearch community....
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Partner highlight: Exploring OpenSearch’s vector database capabilities
Many organizations are turning to machine learning (ML) tools to enhance their search applications. Among those tools are ML embedding models, which can encode the meaning and context of documents, images, and audio into vectors. Those vectors can be stored and indexed within a vector database, then searched to identify similarities. Ultimately, this functionality can be used to augment search...
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End-to-end acknowledgments in Data Prepper
Data Prepper is an open-source data collector used to ingest data into OpenSearch clusters. In addition to Data Prepper’s in-memory buffer, which allows for fast throughput, users also want improved data durability, particularly, confirmation that the data received by Data Prepper reaches the desired sink. End-to-end acknowledgments give Data Prepper this capability.
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