Operations | Monitoring | ITSM | DevOps | Cloud

AI as Monitive's CEO

Recently I've been to Lisbon's Web Summit conference, a 3 day, 70,000 participants, 15 stages, 800+ speakers event. Even though there was a track called "AI Summit", all the talks were about AI and AI Agents and how the future of the web, business, economy is more and more AI, and how businesses and people should take steps to adapt as soon as possible to an online world managed and operated by Artificial Intelligence.

Canvas Is Now GA: AI-Guided Observability for Modern Teams

When we introduced Canvas in beta, our goal was to reimagine how teams explore and collaborate around their observability data without requiring manual querying. Canvas has quickly become the AI-guided workspace that helps teams transform raw telemetry into meaningful, shared understanding faster than ever before. And today, we’re thrilled to announce that Canvas is now Generally Available (GA) for all Honeycomb users.

Get more from your AI chief of staff with these prompts for engineering leaders

Engineering leaders face a constant barrage of questions that pull them away from strategic work. A team lead asks about scorecard compliance. A PM wants a status update on a migration. Someone needs incident trend data for a quarterly review. Each question is reasonable. Each requires context switching, digging through dashboards, or pinging someone on your team for a report. What if you could just ask?

Build a multi-agent AI system using CrewAI, Gemini, and CircleCI

Multi-agent AI systems are trending in the software development industry right now. These systems consist of a group of individual agents that collaborate to achieve a desired goal. They mimic real world teams and departments in how they are organized. In multi-agent AI systems, each agent is assigned a task that is required to achieve a final output.

It's Never Different This Time: LLM Reliability Without the Hype with Julien Simon

In this episode, Julien Simon, longtime voice in the open-source ML world, reminds us that even in the era of GenAI, reliability fundamentals haven’t changed. Julien breaks down why calling “the same model” from different providers can produce wildly different results, how deployment choices introduce hidden variability, and why reliability teams need to think of LLM systems as distributed systems.

Technology as a Personal Finance Partner

Technology has evolved into much more than a convenience-it's become a true financial companion. From apps that track spending in real time to platforms that automate savings and investments, digital tools are transforming the way people handle money. For many, these innovations have brought clarity and control to what used to feel like an overwhelming process.

Agentic AI: Ushering in the Next Era of Intelligent IT

IDC predicts agentic AI will command over 26% of global IT spend, hitting $1.3 trillion in 2029. How do IT Ops teams prepare for the reality of agentic systems being embedded across workflows, interfaces, and enterprise platforms? We went straight to the source—IT Ops leaders—to learn how they’re tackling agentic AI.

Ep 18: AI has a memory problem, just like you do

In this episode of Masters of Data, we dive into how AI learns, examining both how we teach it and what it derives from human performance, as well as why context plays a crucial role in AI interactions. We break down five key components of AI training and talk about why we should view AI as a tool under human control rather than an autonomous entity. We explore the challenge of maintaining context in AI—much like our own memory struggles—and discuss methods, such as retrieval-augmented generation, that can help AI retain context more effectively.