Is your search bar your competitor's best salesperson?
New Australian research reveals poor website search is costing businesses revenue as AI raises the bar.
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The latest News and Information on Log Management, Log Analytics and related technologies.
How does AI enhance search?
Explore how artificial intelligence enhances search engines through semantic understanding, vector embeddings, and contextual retrieval. Learn how AI-powered search delivers faster and more accurate results. Additional Resources: About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
Centralizing Docker Logs for Observability and Security
Most people can remember the old game of telephone, the stream of whispered sentences or phrases across a group of kids. At each transmission, a different piece of information gets lost or misheard, leaving the last person with an incomplete or incomprehensible statement. Managing Docker logs can feel the same way, especially when an error message is lost or an error message lacks context.
Dropbox Ingests 5GB-6GB of Logs per Second Using Loki. Here's How | Grafana Everywhere
As part of the Grafana Everywhere series, Chris Hodges from Dropbox shares why they chose Loki for their logging stack after their data center went dark.
When was the term artificial intelligence coined?
Discover when the term artificial intelligence was first introduced and how it shaped the future of AI research and machine learning. This video breaks down the origin of AI and its historical significance in modern technology. About Elastic Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
What You Need to Know About Choosing a Data Center Location for SolarWinds Papertrail
When signing up for SolarWinds Papertrail, you’ll see an option to choose where your data is stored. What does this mean? What should you consider when choosing a data center location? In this blog, we’ll explore how you can determine where to store your data. First off, the region you choose is the physical location where your data is stored. Once you select a region, you can’t migrate data from it, so it’s important to choose carefully.
Responsible transformation: Agentic AI for the public sector
The world is transforming, and artificial intelligence, especially agentic AI, is quickly becoming embedded across private and public sectors. For government agencies, law enforcement, and mission-critical organizations, embracing this new reality is uniquely challenging. On the one hand, agentic AI promises measurable improvements: modernized IT workflows, faster analysis, improved citizen services, and operational efficiency.
5 Essential Capabilities that Make Coralogix an Observability Powerhouse
Sometimes observability can feel like a second job. With many traditional tools, users must become experts in a proprietary language to ask a simple question. In these cases, developers or SRE’s can find themselves spending more time manually sifting through raw text, building complex data pipelines from scratch, and bouncing between fragmented dashboards than actually solving problems.
Protecting sensitive PII data with effective log management
Organizations rely heavily on logs or tracking changes, troubleshooting issues, and addressing authentication attempts. Although these logs are essential for ensuring a smooth onboarding experience, they often contain users' personally identifiable information (PII), including names, email addresses, phone numbers, and sometimes location or device details. The following sample log illustrates this scenario: 2025-11-01 09:12:33 ACCOUNT_CREATED - New user registered: Name: Michael Scott, Email.
System Datasets: From Alert Fatigue to Optimized Notifications
Alert fatigue rarely begins as a single mistake. It grows as systems scale, teams grow, and “just in case” monitoring becomes the default. A few extra alerts, another threshold, and soon the on-call channel becomes overwhelmed. Engineers get interrupted for noise or stop trusting pages; either way, real signals get missed. Reliability drops, and productivity quietly declines. Most teams respond tactically: tune thresholds, change notifications, suppress noise.