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The latest News and Information on Log Management, Log Analytics and related technologies.

What Is AI Search? How It Improves Your Search Results [Quick Question Ep. 1]

In this brief episode, I explore how AI is revolutionizing the way we search. From understanding user intent to personalizing results, ranking, summarizing, and even multimodal search, AI is transforming every aspect of search relevance and performance. If you’ve ever wondered whether you really need all this context in search, the short answer is: absolutely. Watch to learn how AI search works and why it matters more than ever in the age of artificial intelligence.

From Sequential Bottlenecks to Concurrent Performance: Optimizing Log Processing at Scale

We optimized log processing pipeline by moving from sequential to concurrent processing at the entry level, achieving 30% higher throughput and better resource utilization without increasing infrastructure costs. When customers start sending millions of logs per minute, you quickly discover whether your processing pipeline can actually scale with vertical scaling.

IT Service Performance Monitoring: Key Metrics, Best Practices, and Future Trends

As organizations rely more on complex IT systems and cloud-based services, keeping everything running smoothly — and reliably — has become a top priority. That’s where IT service performance monitoring comes in, giving teams the visibility they need to make sure systems stay healthy and responsive. By tracking a range of technical and user-focused metrics, businesses can quickly identify and address issues before they impact operations or end users.

The AI Monitoring crisis that no one's talking about

When I spoke at AWS London earlier this year, I had the chance to discuss something that more and more teams are starting to feel: traditional observability doesn’t cut it for AI systems. In AI, “Is it running?” is no longer enough. We have to ask, “Is it right?” When I delivered that line, I saw the heads nodding. Everyone’s excited to build with LLMs, but when it comes to actually monitoring them in production? That’s where things fall apart.

Query and Analyze Logs Visually, Without Writing LogQL

It’s 2 AM. An incident’s in progress. Error rates are climbing. You jump into the logs, filter by service, adjust the time window… and now you need a LogQL query. You write one. It errors out. You fix the syntax, try again, only to realize you need a different filter or a new aggregation. Back to rewriting. By the time you’ve got the query right, you’ve already lost 10–15 minutes. The system is still broken, and you still don’t know why.

Elasticsearch is a recommended vector database in the NVIDIA Enterprise AI Factory validated design

Elastic now integrates with the NVIDIA Enterprise AI Factory validated design to provide users with a recommended vector database for their on-premises AI Factories. The validated design provides enterprises with a framework for building and deploying AI Factories on-premises.

MCP Server on Splunk Cloud Platform Demo

Discover the future of data interaction! This video introduces the Model Context Protocol (MCP) server on Splunk Cloud Platform, a groundbreaking capability that seamlessly connects your Splunk data with advanced AI models (LLMs). Learn how to leverage natural language to query, analyze, and manage your Splunk environment without complex SPL. In this comprehensive setup and configuration guide, we'll walk you through.

How Payconiq Centralized Monitoring and Enabled Real-Time Insights with Elastic

Yannick Boulleys, Head of Platform at Payconiq, shares how Elastic helped the company consolidate fragmented monitoring tools into a single platform. With real-time user monitoring, built-in anomaly detection, and GenAI-powered root cause analysis, Elastic has transformed how Payconiq manages system visibility, consumer behavior, and cost efficiency, without requiring deep technical expertise.