Category: Operations
Articles tagged Operations
Building a control plane to govern ecommerce search
How to build a governed control plane for ecommerce that composes conflicting search policies into a single execution plan (without code changes).
Accelerating merchandising improvements with a governed control plane
Search behavior changes shouldn't require an engineering ticket. Learn how a governed control plane lets business teams update search policies in hours, without deployments, without risk.
Reindexing data streams due to mapping conflicts
Learn how to fix Elasticsearch mapping conflicts by reindexing data streams. This blog explains the reindexing process and how to ensure new data is correctly mapped.
How big is too big? Elasticsearch sizing best practices
There’s no hard size limit in Elasticsearch, but there are clear signals you've outgrown your setup. Learn how to size shards, manage node limits, choose storage by tier, and use AutoOps to catch problems before they happen.
Why ecommerce search needs governance
Learn why ecommerce search falls short without governance and how a control layer ensures predictable and intent-driven results, thus improving retrieval.
Migrating your OpenShift Elasticsearch 6.x cluster to Elastic Cloud on Kubernetes (ECK)
A step-by-step guide on how to migrate from the legacy OpenShift Elasticsearch Operator (ES 6.x) to the modern Elastic Cloud on Kubernetes (ECK).
Monitoring LLM inference and Agent Builder with OpenRouter
Learn how to monitor LLM usage, costs, and performance across Agent Builder and inference pipelines using OpenRouter's OpenTelemetry broadcast and Elastic APM.
Higher throughput and lower latency: Elastic Cloud Serverless on AWS gets a significant performance boost
We've upgraded the AWS infrastructure for Elasticsearch Serverless to newer, faster hardware. Learn how this massive performance boost delivers faster queries, better scaling, and lower costs.
AutoOps in action: Investigating Elasticsearch cluster performance on ECK
Explore how Elastic's InfoSec team implemented AutoOps in a multi-cluster ECK environment, cutting cluster performance investigation time from 30+ minutes to five minutes.
Improving multilingual embedding model relevancy with hybrid search reranking
Learn how to improve the relevancy of E5 multilingual embedding model search results using Cohere's reranker and hybrid search in Elasticsearch.
Deploying a multilingual embedding model in Elasticsearch
Learn how to deploy an e5 multilingual embedding model for vector search and cross-lingual retrieval in Elasticsearch.
