Operations | Monitoring | ITSM | DevOps | Cloud

Observability in the Age of AI

This post was written by Charity Majors and Phillip Carter. In May of 2023, we released the Honeycomb Query Assistant, an LLM-backed feature that lets engineers use natural language to generate and execute queries against their telemetry data. Instead of having to master a domain-specific query language, you can simply type in things like “slow endpoints by status code” and the Query Assistant will generate a relevant Honeycomb query for you to iterate on.

AWS re:Invent 2024: Innovation, AI, and the power of seamless data movement

From developers and tech leaders to start-ups and students, over 60,000 attendees from around the world gathered in Las Vegas for the 13th AWS re:Invent. This year’s event showcased continuing innovation from AWS, offered an abundance of content for every type of attendee, plus a sprawling Expo Hall hosting hundreds of AWS partners and industry vendors.

Troubleshooting SD-WAN with Kentik Journeys AI

Discover how Kentik Journeys simplifies SD-WAN troubleshooting with the power of AI. In this video, we walk through identifying and resolving a network issue impacting a business application using a Postgres database. See how Kentik's conversational interface streamlines iterative network analysis, offering real-time insights into traffic patterns, device metrics, and routing behaviors. Learn how Kentik Journeys empowers teams to diagnose root causes quickly and collaborate effectively.

Open Source vs. Proprietary LLMs

Large Language Models (LLMs) are now essential to modern artificial intelligence (AI), enabling machines to understand and generate human language. Their impact is evident across various industries, with estimates suggesting that by 2025, 750 million apps will integrate LLMs. From enhancing customer service with intelligent chatbots to advancing medical research, LLMs are driving efficiency in business operations.

Connectivity and Cloud: Navigating AI's Blind Spots in 2025

Mike Hoy, CTO, Pulsant looks ahead to the next 12 months, identifying some of the challenges organisations are likely to face in delivering AI projects, and highlighting the importance of a resilient, connected infrastructure in meeting these. As AI proofs of concept evolve over the next 12–18 months, they will lay the groundwork for advances in technology.

Lessons from Building an AI Copilot

Artificial intelligence is reshaping industries at an unprecedented pace. AI has found its way into almost every vertical, from writing code to diagnosing illnesses, promising efficiency and innovation. The idea of an AI Copilot—a tool that acts as your assistant to tackle complex tasks—is particularly exciting. In our space, observability, the possibilities seemed endless. We asked ourselves how AI could simplify troubleshooting in microservices.