Operations | Monitoring | ITSM | DevOps | Cloud

Innovation Week Day 2: Observability for AI, and Observability With AI

AI is reshaping the SDLC in two directions at once. AI-generated code is shipping faster and with less human supervision than ever before, while agents and LLMs are running directly in production, where they behave very differently from traditional software: non-deterministic, with a wider blast radius than any single function or component, with no stack trace to catch when something goes wrong.

Observability for the Agent Era: Day 2 | Launches

Honeycomb's Innovation Week: Observability for the Agent Era (May 12-14) For Day 2 of Innovation Week, Honeycomb's product and engineering teams will take you inside the new capabilities purpose-built for the agent era. Expect live demos, real scenarios, and a hands-on look at what it means to own observability for the Agentic era, with AI in Honeycomb to observe AI in production. A 3-Day Virtual Event for Teams Building the Future May 12: Get insights on how the best engineering teams are tackling the challenges of the agentic era.

#058 - The Future of AI and Platform Engineering with Blake Sherwood (Smarsh)

In this episode, special guest Blake Sherwood joins the show to discuss his unique career trajectory from tourism and coal mining to leading massive-scale Kubernetes migrations. Blake shares insights from his experience managing petabytes of data in high-compliance environments, delving into the practical realities of integrating AI into enterprise workflows and observability systems.

Claude Code Sandbox: The Complete Guide to Sandboxing AI Agents in Production

How to sandbox Claude Code, Codex, and other AI coding agents for production use. Compare local Docker, Daytona, E2B, and Qovery approaches - with architecture diagrams and real-world examples. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

The Growing Importance of Audio to Text Converter Tools

In today's digital world, communication happens faster than ever before. Businesses, students, journalists, podcasters, and content creators are constantly searching for efficient ways to manage information. One of the most valuable innovations in recent years is the from audio to text conversion process, which allows spoken words to be transformed into written content quickly and accurately. Audio to text converter tools have become essential for improving productivity, accessibility, and content management across multiple industries.

Three AI Music Generators For Different Creators

AI music tools are no longer just novelty websites where users type a funny prompt and wait for a strange song. The market now has different kinds of platforms for different creative jobs: full vocal songs, background music, lyric-driven drafts, podcast intros, game atmospheres, and social video soundtracks. That is why an AI Song Generator should be judged less like a toy and more like a workflow choice for creators who need music without starting from professional production software.

Getting Started with XcodeBuildMCP: Let AI Agents Debug Your iOS Apps

XcodeBuildMCP gives AI agents the ability to build, test, and debug native iOS and macOS apps. In this hands-on workshop, we show you how to use the open source MCP server to unlock the full developer loop — build, run, debug, interact, and verify — without leaving your preferred AI coding environment.