Making LLMs Observable : AI, OpenTelemetry and Rise of MCP
Making LLMs Observable : AI, OpenTelemetry and Rise of MCP.
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Vibe coding with the incident.io API
Many, many years ago, I was a computer science major at the University of Illinois, hoping someday I’d be able to write code for a living. I started my career in QA hoping to learn the ins and outs of software development. But it turns out I wasn’t very good at coding. I was just good enough to get a role as a sales engineer, where all I had to do was write code that could hold together for 30 minutes in a demo.
The Innovation vs. Control Syndrome: Unlocking Enterprise AI's Full Potential
From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.
Unifying Autoregressive and Diffusion-Based Language Models
Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. In this presentation, Pierre-André Noël will show that, if you squint hard enough, autoregressive language models are a special case of diffusion models. We make this idea more concrete by introducing hyperschedules, allowing different token positions to get different noise levels.
Have you ever wished you could do a simple FIND across all production applications? #speedscale
With Speedscale's new notebook feature you can! Watch the full video here: https://youtu.be/SxZ7DFSM89Y
Debug Go Apps Faster: Proxymock Records All Traffic!
Get unprecedented visibility into your local Go app's network traffic. Proxymock captures exact API payloads for easy debugging and testing. Free tool!
AI-Driven Risk Analysis in Seconds #AI #itsm
IT changes can be challenging. Hidden risks, costly mistakes. In Alloy Navigator, you’ve got an AI-driven risk analyst that tears through past tickets and mines your knowledge base, delivering risk analysis and tailored recommendations for every change — in seconds. Now everyone on your team has a personal Mentat, a strategic sidekick that turns data into sharp insight. In this short video, we used gpt-4.1-mini for completions and text-embedding-3-large for generating embeddings from OpenAI.
What's New at Catchpoint, episode 2
This month, Leon breaks down the new Internet Resilience Report, enhancements to Catchpoint’s API monitoring suite, and some of the reasons for replacing selenium with Playwright and Puppeteer as Catchpoint’s web test scripting tool. In the “New to You” segment, he reviews SSL certificate monitoring.
Mobile Security Isn't a Nice-to-Have - It's an Absolute Must
Mobile Security Isn’t a Nice-to-Have — It’s an Absolute Must According to the Verizon’s 2024 Verizon Mobile Security Index Report, nearly 90% of organizations recognize the urgent need to take mobile security seriously. Are you one of them? From mobile phishing to smishing, vishing, quishing and zero-day threats, the mobile attack surface is bigger and more dangerous than ever. Cybercriminals are relentlessly targeting mobile devices as a gateway to your organization, making mobile security especially critical.
Leaning into AI, ML, and observability to manage your ever-growing infrastructure
The complexity and scale of modern infrastructure requires an equally intelligent set of observability tools to effectively monitor it. Remember when scaling meant ordering new servers and racking them in a data center? Remember when cloud providers first offered access to seemingly infinite virtual machines at the click of a button? Remember when Kubernetes made it trivial for infrastructure to automatically scale itself based on demand?