Operations | Monitoring | ITSM | DevOps | Cloud

If you’re using Python for search, log aggregation, or analytics, you’ve probably worked with Elasticsearch. It’s fast, scalable, and fairly complex once you go beyond the basics. The official Python client gives you raw access to Elasticsearch’s REST API. But getting it to work the way you want, especially under load, can be tricky. This blog walks through practical ways to index, query, and monitor Elasticsearch from Python code, without getting lost in the docs.

Think Sumo Logic is only for query language pros? Think again. Whether you’re deep into JSON logs or just trying to make sense of a Linux error message, these five time-saving hacks turn anyone into a log-searching ninja, no regex, no complexity, just clicks. From instantly parsing values to filtering down with a tap, these tips will help you troubleshoot faster, work smarter, and feel more confident in your observability game. You’ve got logs, now it’s time to put them to work.

When Solr performance degrades, everyone notices - except maybe your monitoring system. The right metrics can alert you to problems before your users start complaining. This guide walks through the essential Solr metrics that matter for production deployments.

BBVA transformed customer experience and operational insight by using Elastic to unify 45B+ data points across 50+ banking services, with sub-second response times. When BBVA's David Jiménez Ausin looks back at 2014, he sees a very different banking landscape. “Almost everything was still via web channel, as the app wasn't as developed as it is now, and each service had its information in its own systems,” he recalls.

We are proud to be releasing version Elasticsearch 9.0 and 8.18 to Elastic Cloud and self-managed users. The capabilities in these releases have already been available to our Elastic Cloud Serverless users, who have had access to generally available fully managed Elasticsearch on AWS, Azure, and GCP.

Splunk is excited to provide fine-grained authorization for Knowledge Objects starting with Saved Searches. Saved Searches are the most used Knowledge Object (KOs), and admins spend the most time delegating access to users for Saved Searches.

When your project calls for a high-performance search solution, the Elasticsearch vs. Solr debate inevitably surfaces. Both are Lucene-powered search engines with passionate communities, but their architectural approaches and performance characteristics differ significantly. This guide dives into the technical nuances that matter to developers and DevOps professionals, helping you make an informed decision based on concrete metrics and real-world implementation considerations.

As data continues to grow exponentially, businesses need powerful tools to search, analyze, and visualize their data efficiently. OpenSearch has emerged as a top choice for organizations seeking an open-source, scalable search and analytics engine. However, managing OpenSearch in-house can be complex, costly, and resource-intensive. That’s where hosted OpenSearch comes in.