Operations | Monitoring | ITSM | DevOps | Cloud

The future with large language models (LLMs) feat. Ramprakash Ramamoorthy

Expanding on our previous topic of large language models in enterprise IT, Ramprakash Ramamoorthy, Director of AI research at ManageEngine and Zoho Corporation, takes it one step further as we dive deeper into the various functions of a business, and the normalization of LLM integration in those operations.

Quick Demo of Logs Pipelines in SigNoz

Log pipeline allows you to preprocess your logs for enrichment, transformation, and attribute extraction before they get indexed. Here's a quick demo of using the Logs pipeline feature in SigNoz to parse Nginx logs. More about SigNoz: SigNoz - Monitor your applications and troubleshoot problems in your deployed applications, an open-source alternative to DataDog, New Relic, etc. Backed by Y Combinator.

I've Made a Huge Mistake: Implementing Agile on Infrastructure Teams

Bad planning methods can damage team morale and prevent teams from improving the systems they maintain. In this talk, Sam Handler from Shopify explains how his attempts to fix poor infrastructure planning processes through Agile methods failed. Drawing from this experience, he offers several principles that can help infrastructure teams improve the way they work.

Building a Culture of Reliability: Why SREs Can't Do It Alone

Join Gremlin CTO and Founder Kolton Andrus to hear practical strategies for building a collaborative culture of reliability. High-velocity DevOps orgs and complex cloud-native architectures have made reliability harder than ever. Organizations are turning to SREs to make sure systems are reliable, but with so many stakeholders and competing priorities, many companies are still struggling to get ahead of the outages and incidents—SREs simply can't do it all by themselves.

The Future of Machine Learning and AI Panel Discussion - Navigate Europe 23

Dive deep into the future of AI and ML with Josh Mesout, Andrew Maguire, Jason Grant, Tatiana Botskina, and Dan Lewis. In this engaging discussion, they share insights from their varied backgrounds, tackling critical topics such as generative AI, ethical AI practices, and the evolving landscape of AI regulation. Whether you're a seasoned professional or new to the field, this video provides a unique opportunity to learn from industry leaders and gain a comprehensive understanding of the challenges and opportunities in AI and ML.

The Role of Generative AI and Large Language Models in IT Operations

Artificial intelligence, particularly generative AI and large language models have changed how we approach IT operations, cybersecurity, and observability. And though we can point to measurable benefits and outcomes from applying LLMs to ITOps, there is also a lot of speculation to deal with. Phillip Gervasi, Director of Technical Evangelism at Kentik, and Christoph Pfister, Chief Product Officer at Kentik, discuss what generative AI and LLMs are, how they can be used to improve IT operations, and what the future might hold.