Operations | Monitoring | ITSM | DevOps | Cloud

The AI SRE landscape has exploded over the past year, with vendors racing to add artificial intelligence capabilities to their platforms. For engineering leaders evaluating these solutions, the sheer number of options can feel overwhelming. Some vendors are building AI-native solutions from scratch, while others are retrofitting AI onto existing workflows. Cloud providers are embedding agents into their ecosystems, and observability platforms are adding intelligence layers to their telemetry data.

Data center vacancy rates in North America have hit record lows, with reports from CBRE and JLL indicating figures between 1.6% and 2.3% as of mid-2025. This is driven by exceptionally high demand from hyperscale and AI users, which is outstripping supply and leading to significant competition for space and power. The tight market is expected to continue through at least 2027, with preleasing of new construction at high levels.

Imagine a future where machines not only perform physical tasks but also learn, adapt, and make intelligent decisions in dynamic environments. This future is rapidly becoming a reality with the advent of smart robots, poised to revolutionize industries from manufacturing to healthcare. In this article, we'll delve into smart robots: what makes these intelligent machines 'smart', how they perform tasks, and how they are reshaping the operational landscape.

In September at.conf25, we announced how Splunk is shaping the future of digital resilience in the age of AI. Agentic AI is rewriting what it takes to build a leading observability practice. As vibe coding gains steam, applications will be built with less human involvement. At the same time, the rise of AI agents demands specialized telemetry to ensure models are performing as intended—aligned to their business purpose and cost.

Today marks an exciting milestone for BigPanda and for the future of IT Operations. We’re thrilled to announce that BigPanda has acquired Velocity, an AI SRE company whose technology and team share our passion for transforming how enterprises keep the digital world running. Velocity brings deep expertise in Site Reliability Engineering (SRE) and major incident response, developed alongside some of the world’s most sophisticated technology organizations.

Kubernetes has transformed how teams build and scale applications, but it has also introduced new layers of complexity. Platform and DevOps teams must now integrate and manage multiple technologies: CNI, ingress and egress gateways, service mesh, and more across increasingly large and dynamic environments.

Over the last couple of years, nearly every network and infrastructure observability platform has added the word “AI” to its messaging. Some have introduced helpful capabilities. Others have simply added a chatbot on top of the same dashboards that have existed for a decade. In many ways, the term has started to lose meaning. But inside network operations, the conversation hasn’t disappeared. It has simply become more blunt.

Artificial Intelligence has become the sharpest tool in the digital arsenal – detecting anomalies, predicting failures, and uncovering risks before they unfold. Yet even the smartest system can’t roll up its sleeves and fix what’s broken. AI can see the problem. But only people can solve it. That’s the critical gap in today’s automation revolution: turning AI’s insight into human action.