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From App Search to Elasticsearch - Tap into the future of search

App Search will be discontinued in 9.0 versions, but Elasticsearch has everything you need to build powerful AI-powered search experiences. Here’s what you need to know. Recent advancements in generative AI are transforming user behavior, inspiring developers to create search experiences that are more dynamic, intuitive, and engaging.

Monitor Azure AI Search with Datadog

Azure AI Search is Microsoft Azure’s managed search service. In addition to tackling traditional search use cases, Azure AI Search also includes AI-powered features to make it a fully capable document catalog, search engine, and vector database. AI Search is highly interoperable—it can use models created in Azure OpenAI Service, Azure AI Studio, or Azure ML.

Regex vs Search Terms - Finding What You Need In Your Logs

This is an updated version of an earlier blog post that now includes links to our documentation. Full-text searches are a marvel of modern computing. In less than a second, search engines can match a query against hundreds of millions of documents. In the early days of search engines, you often had to use specific search operators and terms to get accurate results.

Threat Hunting with Cribl Search

Imagine you’re the protector of a castle. Your walls are tall, the gates are strong, and the guards are well-trained. But what if an intruder was still able to slip past your defenses? Even with the best security tools, not every threat will be caught. Threat hunting is the proactive approach to finding attackers that might have bypassed your defenses.

Accelerate Visibility and Analysis With New Cribl Search Packs

Our new Cribl Search Packs give you a framework for packaging, sharing, and installing config bundles that align with a given data source or use case. Similar in concept to our original Cribl Stream Packs framework, Cribl Search Packs help users find value in their datasets more quickly across common use cases. In fact, Stream Pack users were a powerful driver in the development of Search Packs.

Top Tips for Querying OpenSearch

OpenSearch allows you to store a sizeable amount of data, commonly logs, metrics, and documents. You access useful data within OpenSearch by querying to get specific information, deep analysis, and insights for decision-making. With OpenSearch, you can perform complex searches by using natural language, Boolean operators, and filters to pinpoint relevant information efficiently.

Introducing Charmed OpenSearch

Introducing Charmed OpenSearch – an enterprise solution for OpenSearch with advanced automation features, multi-cloud capabilities, and comprehensive support. OpenSearch is an open source search and analytics suite that developers use to build solutions for search, observability, security analytics, generative AI projects, and more. Charmed OpenSearch builds on this foundation with additional enterprise-grade capabilities that can help you spend less time on operational tasks and more time on high-value data and analytics projects.

Mastering Null Semantics: Translating SQL Expressions to OpenSearch DSL

Working at Coralogix, a leading full-stack observability platform, I recently faced an interesting challenge. The team I am part of is building the DataPrime query language and query engine, used to easily query logs and other observability data on the platform, usually in the form of Parquet files on AWS S3. Inside the engine, our DataPrime queries are transformed into query plans with SQL-like expressions, for example in filters.