Operations | Monitoring | ITSM | DevOps | Cloud

MachineGPT: Speaking the Language of Machines to Shape the Future of AI

At.conf25, we took a bold step forward—introducing the concept of MachineGPT, which brings the power of generative AI to one of the most overlooked resources: machine data. MachineGPT speaks the language of machines. Just like ChatGPT learned the grammar of words and sentences to understand questions and respond in human language, MachineGPT can learn the hidden “grammar” of how systems behave through machine data.

The AI Workload Punishes Bad Habits

The AI workload presents the ultimate challenge, highlighting the structural limitations of the traditional hyperscaler model. In this segment from a Civo Navigate London 2025 session, Kelsey Hightower explains exactly why AI adoption forces enterprises to confront flawed architecture and rising astronomical costs. When specialized hardware is scarce and rented GPUs sit idle at a premium, it’s clear that traditional cloud providers were not built for this era. Data that didn't move is forcing organizations to move compute back to where it lives.

Modernising Middleware and B2B Integration with Assurance

Modernising enterprise middleware is now a strategic necessity for cost efficiency, AI-readiness, and operational clarity. Hybrid estates of IBM MQ, Apache Kafka, and other brokers hide inefficiencies that drain profitability, but an operating model built on Assurance and Optimisation restores transparency and control. By unifying data, rebalancing workloads, and enabling safe AI autonomy, organisations can build a resilient “Confidence Economy.”

Mezmo's AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)

We are thrilled to announce the availability of Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)—a truly transformative leap forward for engineering and operations teams included in your existing subscription at no additional charge. We are paving the way for a new era of observability, moving beyond passive, reactive monitoring to a world of proactive AI-driven observability.

5 Skills Intelligence Platforms to Watch in 2025, Reviewed & Ranked

Businesses need to build strong teams, and leaders, within their organization so they can continue to drive productivity and efficiency. This also offers more than a few other benefits, like improving employee morale and retention, enhancing your employer brand, and helping you run a more cost-effective business. Skills intelligence platforms are a vital part of this. They let companies implement affordable and effective ways to engage employees as they take their careers to the next level.

How AI Is Transforming Field Service Routing and Operational Efficiency

Before, field service operations depended on set schedules, hand-planned routes, and local dispatchers. Even though we are aware of this, routing based on intuition is becoming less effective as service networks become more complex, customer expectations rise, and operating expenses shift. How can companies with a large fleet of service vehicles efficiently arrange personnel, vehicles, and parts to meet service level agreements while minimizing costs and downtime?

Mastering Product Design: How Top Agencies Like Phenomenon Studio Create Market-Leading Products

In today's experience-driven economy, the quality of your product design can determine your company's trajectory. But what exactly separates exceptional products from mediocre ones? The answer often lies in partnering with the right product design agency. As an industry-leading provider of web design and development services, Phenomenon Studio has demonstrated how strategic design partnerships can elevate products from functional to phenomenal, creating sustainable competitive advantages in crowded markets.

The 3 AI Jobs That Didn't Exist 2 Years Ago!

People worry about AI taking jobs, but what about the new roles AI is creating? James Faure, CEO of Clairo AI, breaks down the three essential non-technical jobs that have emerged in the last two years: Prompt Engineers, Context Architects, and Evaluators. Learn the crucial skills needed to be highly employable in the future of AI.

Beyond Isolated AI: How the Selector MCP Server Connects Agents, Context, and Action

AI in network operations is evolving faster than ever. But while new models and agents are emerging almost daily, they’re often working alone, with each confined to its own context, data, and domain. One model might analyze telemetry, another handles automation scripts, and a third generates summaries or recommendations. Each model might be intelligent on its own, but without a way to share context, they end up thinking in isolation, limiting what they can achieve together.

From Error to Fix: AI-Powered Debugging with Sentry and GitHub

​This session will focus on the agent based features of Sentry for debugging an issue in a web application. We'll move through the broken issue - and show how tools like Sentry Seer and the GitHub repo integration make it easy to determine the root cause of an issue by bringing all the context of Sentry and code in GitHub together, and how the Sentry MCP makes it easy to pull all that context down into GitHub CoPilot to fix it locally.