Operations | Monitoring | ITSM | DevOps | Cloud

Latest News

LLM Monitoring and Observability

The demand for LLM is rapidly increasing—it’s estimated that there will be 750 million apps using LLMs by 2025. As a result, the need for LLM observability and monitoring tools is also rising. In this blog, we’ll dive into what LLM monitoring and observability are, why they’re both crucial and how we can track various metrics to ensure our model isn’t just working but thriving.

Cribl Copilot Leverages Our Docs to Get You Answers Faster Than Ever Before!

Cribl employees are renowned for their insatiable curiosity, especially when it comes to their passions. Having been a technical writer for most of my adult life, this goat is deeply passionate about two things: writing engaging content and understanding the mindset of our users. As one of our founders always says, “Software is a people business.” To make my users successful, I need to know how they think. But what if the “user” is a machine? This goat is intrigued.

Differentiating Sumo Logic Mo Copilot using Amazon Bedrock

Sumo Logic Mo Copilot is a natural language assistant that helps first responders derive insights from logs and resolve issues faster using contextual suggestions and plain English queries. It has been in preview since May 2024 with dozens of customers. Choosing a foundation model was a critical step in its development. Let’s explore our high-level requirements for Copilot, the role of foundation models and the rationale for standardizing on Amazon Bedrock.

Introducing LEKT AI: Your Go-To AI Chatbot and Assistant

In a world where technology evolves at breakneck speed, staying ahead means embracing tools that simplify and enhance our daily tasks. LEKT AI emerges as a game-changer-a platform that brings together the most popular AI models into one easy-to-use interface. Whether you're a professional aiming to boost productivity, a student eager to learn more efficiently, or someone curious about the potentials of AI, LEKT AI is designed with you in mind.

Run tests & fix bugs with the Sentry for GitHub Copilot Extension

TL;DR: The Sentry extension for GitHub Copilot now goes beyond chat to help you generate tests, surface issues, and suggests fixes all within your regular PR workflow. Did you forget to write unit tests? Automatically generate them and merge them to your feature branch within GitHub. Have you already merged a PR? Catch new issues, get solutions to those bugs, and deploy those fixes quickly. Add the Sentry extension from the GitHub Marketplace to get started. Continue reading for more details and demos.

Introducing the Logz.io AI Agent, Accelerating the Future of Observability

Logz.io introduces its AI Agent in Beta, using GenAI to revolutionize observability. The AI Agent simplifies monitoring with automated data analysis and root cause detection, accelerating issue resolution by 3-5x for beta users—marking a critical step toward fully autonomous observability.

Why Every Modern Business Needs an AI Chatbot Today

In the fast-paced digital era, businesses are constantly seeking innovative ways to stay ahead of the competition. One such innovation is the implementation of AI chatbots, which are transforming the way companies interact with their customers. Platforms like rai-bot.com are making it easier than ever for businesses to integrate these intelligent assistants into their operations, providing a significant edge in today's market.

How AI is Transforming the Way Students Approach Studying

Artificial intelligence is redefining education by altering how students absorb, arrange, and interact with the course material. AI is revolutionizing education by providing individualized, efficient, and successful study methods. This is fundamentally changing how we view education. This article explains how needs-based adaptive learning algorithms and personalized resources can enhance student learning through artificial intelligence.
Sponsored Post

The Role of AI in SRE: Revolutionizing System Reliability and Efficiency

Maintaining high service reliability is crucial for enterprises that depend on software services to drive their businesses. This is where Site Reliability Engineering (SRE) comes into play-a practice that integrates software engineering approaches with operations to build scalable and highly reliable software systems. As the world's reliance on digital infrastructure grows, so do the challenges of keeping these systems running smoothly. To meet these challenges, Artificial Intelligence (AI) is being increasingly integrated into SRE practices, enhancing their capabilities in unprecedented ways.