Operations | Monitoring | ITSM | DevOps | Cloud

AI

Use embedded AI to find performance problems

The root cause of a performance transaction can be complex to troubleshoot, but it does not have to be. By using AppDynamics’s built-in machine learning capabilities, we can quickly identify Health Rule violations triggered by transaction response times deviating from their baseline and then combine those with diagnostic capabilities that get us to the specific cause. We are able to drill down into the relevant snapshots to see which method and specific line of code is to blame.

Latest breakthroughs in vector search for Elasticsearch and Lucene: ElasticON AI

Elastic experts Jim Ferenzi and Ben Trent discuss key Elasticsearch and Lucene improvements — including intuitive vector search support, multi-threading, RRF, and hybrid search with filtering and doc-level security. Plus, hear what they are working on next! Additional resources.

AI-Generated Runbooks

AI-generated Runbooks lower the barrier to entry to new automation developers and speeds up the time to create new automation for experienced automation authors. This feature works seamlessly with the user’s preferred scripting language, offering a low-code solution for what used to be a high-code task. Watch how Runbook Automation users can write the task they wish to automate in plain-English and let AI build a template of automation for that particular task.
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AI for Customer Support and Why You Need It

Providing exceptional customer support has become a key differentiator for businesses. Customers expect quick and personalized solutions to their queries and issues. To meet these expectations, organizations are turning to Artificial Intelligence (AI) for customer support solutions. AI technologies, such as Generative AI, have revolutionized the way companies interact with their customers, streamlining support processes, and delivering superior customer experiences. In this comprehensive guide, we will explore the significance of AI for customer support, its various use cases, how to implement it, the role of Generative AI, and the barriers to overcome for its successful adoption.

GenAI in production: how we built AI into CircleCI

In this episode, you’ll learn how to empower your team to do the most challenging thing when it comes to AI - getting started! Rob is joined by Kira Muehlbauer and Ryan Hamilton, two engineers who worked on building a groundbreaking feature at CircleCI called the AI error summarizer. Discover their insights into the process of building AI products, the challenges they faced, and the valuable lessons they learned along the way.

Grafana Labs' new AI-powered chatbot

Got questions about Grafana? Just ask Grot, Grafana's new AI-powered chatbot (still in beta). Built in partnership with Pal, a company that creates AI assistants for businesses, and inspired by our bulbous dino mascot, Grot the chatbot has been trained with large language models (LLM) on Grafana Labs’ own content. It can help you easily answer just about any question about our Grafana LGTM Stack, our open and composable hosted Grafana Cloud platform, and more — regardless of how narrow or broad the query might be or what language is set in your browser.

The Three Fundamentals of Digital Signage

In the contemporary digital landscape, digital signage has transitioned from a mere advertising tool to an indispensable component of our urban infrastructure. From interactive terminals in metropolitan shopping districts to dynamic billboards and informative panels at international transit hubs, the omnipresence of digital signage is undeniable.