Operations | Monitoring | ITSM | DevOps | Cloud

In the age of AI, measurement becomes our superpower

The last few years have felt less like a product roadmap and more like a scene from science fiction. Artificial intelligence didn’t simply arrive, it erupted. In what feels like a blink, we’re building software by prompting instead of programming. Our words now generate code, compose music, translate languages, and create entire digital experiences.

Open Source & The New Era of AI Data Infrastructure - Aiven for Startups at Slush

There’s a foundational shift underway in the data infrastructure behind AI-native applications. In this fireside chat, we break down the technical requirements that make today’s data infrastructure dramatically different from what it used to be and what builders need to understand to keep up. In this talk, top founders defining the industry, Rebecka Storm, Co-Founder and CPO of Twirl (Acquired by Modal) and Heikki Linnakangas, Co-Founder of Neon (Acquired by Databricks) will dive deep into theme of AI data infrastructure and open source, moderated by Oded Valin (Aiven).

How generative AI solves healthcare's 1% carbon footprint

The healthcare industry accounts for 1% of the global carbon footprint, and a single PET CT scan can generate 60kg of CO₂! Regent Lee, Professor at the University of Oxford and moonshot engineer, reveals how Civo-powered Generative AI is transforming radiology. His team's solution eliminates pharmaceutical contrast injections, digitally displacing the pollution. This technology makes radiology safer, more efficient, and significantly greener for the environment. Sustainability in healthcare is non-negotiable.

(AusBiz) | How to Stay Secure in an AI-Driven Software World | The Last Call

In an era of AI-powered development, how do teams move fast and stay secure? JFrog SVP APAC, Sunny Rao, joined AusBiz’s The Last Call to break it down — from securing the software supply chain to why end-to-end visibility is now essential for every tech organization. Discover why this matters for the future of software and AI-driven innovation.

AI and DevOps in 2025: How Autonomous Engineering Will Transform Software Operations and Reliability

DevOps started as a way to break down barriers between development and operations, but by 2025 the movement has shifted into something far more ambitious. Instead of simply speeding up releases or tightening workflows, companies are now adopting autonomous engineering systems-tools powered by AI that don't just support DevOps practices but actually carry them out.

Automating Application Development: The Role of AI No-Code Platforms in Modern Operations

The landscape of application development is undergoing a fundamental transformation. Operations teams, traditionally reliant on development resources for building custom tools and applications, are now discovering new pathways to independence through artificial intelligence-powered platforms. This shift represents more than just a technological evolution, it's a reimagining of how modern organizations approach problem-solving in IT operations.

How AI Hiring Software for Businesses Elevates Operational Performance and Workforce Agility

In environments where operational efficiency and team scalability matter as much as technical reliability, organizations increasingly turn to AI hiring software for businesses. These tools address a growing need for streamlined hiring pipelines, capable of supporting fast-moving operational teams and companies focused on uptime, productivity, and sustainable growth. In sectors where every delay can impact service continuity, integrating intelligent hiring systems has become a strategic choice, not just an HR upgrade.

What Enterprise Leaders Must Know About Operationalizing Agentic AI

Reports by Gartner say that over 40% of agentic AI projects may be discontinued by 2027, primarily due to unverified costs, vague business value, and weak risk governance. Most business leaders can already see the risk. Or the opportunity. That’s not the problem; the problem is what happens after - the effectiveness of process execution. Anushree Verma, Senior Director Analyst at Gartner, said: Execution latency is now the most expensive form of operational waste.

How AI Agents Are Redefining the SRE Role

Even the best site reliability engineers (SREs) spend too much time doing reactive work—triaging incidents, gathering context, escalating to the right teams, and documenting what happened. That work is essential, but it’s not where an SRE’s highest value lies. These engineers are hired to build and maintain resilient systems, not play air-traffic control with every alert that hits their queue.