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.

Across Europe, the cautious optimism business leaders held towards AI agents has evolved into more widespread enthusiasm. What was once a curiosity is now core to how many European organizations operate, respond, and innovate. According to PagerDuty’s latest agentic AI survey, three-quarters or more of organizations in France, Germany, and the UK are deploying multiple AI agents. This growing confidence reflects a broader trend.

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.

Salesforce APIs sit quietly behind countless customer interactions. They connect CRMs to billing, sync leads to marketing, and power dashboards that executives depend on daily. Yet when one of those APIs slows down or breaks, it often happens without alarms. Dashboards still load, integrations keep attempting retries, and somewhere data silently stops flowing. That’s the danger of invisible API failure—by the time someone notices, the damage has already been done.