Operations | Monitoring | ITSM | DevOps | Cloud

When something breaks in a modern digital service, customers feel it instantly. Pages stall, requests time out, and carts are abandoned, while frustration grows long before a root cause is identified. What the world never sees is the engineering effort required to keep these systems healthy in the first place. Site Reliability Engineers (SREs) carry that responsibility every day.

The recent Cloudflare outage served as a stark reminder of how fragile the global digital ecosystem can be due to a single point of failure. In a matter of minutes, thousands of websites that rely on Cloudflare’s CDN, from Fortune 500 brands to SaaS platforms and consumer apps, went offline for hours. The business impacts were severe, with Shopify alone suffering over $4 million in losses while downstream merchant impacts potentially exceeded $170 million.

If you’ve been following the development of BigPanda AI Detection and Response (ADR), you’re aware of our mission to automate Level 1 (L1) operations and eliminate the need for manual, time-consuming investigations. In our last update, we highlighted the manual, complex, and time-consuming processes that hinder modern IT teams. Enterprises spend billions on observability tools based on the false belief that more coverage equals total visibility.

When external providers fail—whether it was CrowdStrike outage last year, AWS outage last month, or the Cloudflare DNS outage yesterday—the symptoms inside your environment often look like internal issues: timeouts, login failures, API errors, service degradation, or sudden spikes in dependency-related alerts. It’s natural for teams to start searching through their own infrastructure first, but none of these symptoms clearly point to your systems as the root cause.

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.

Infrastructure resilience is essential for any modern IT environment. Downtime is expensive. Beyond the stresses of day-to-day operations, you want to be confident that your IT systems will continue functioning during service disruptions, hardware failures, or natural disasters. Agentic ITOps can help ensure a reliable, resilient IT infrastructure environment. These systems use agentic AI to help IT teams minimize downtime, improve customer trust, and protect your business’s revenue and reputation.

We published the first report showcasing the business value of the BigPanda platform, based on both quantitative and qualitative feedback from more than 20 enterprise customers. The Business Value of the BigPanda Platform report provides tangible insights into our platform’s impact on business outcomes.

Enterprise IT departments are struggling to keep up with the dramatic increases in complexity, fragmentation, and chaos in their IT environments. Legacy tools and processes designed for monolithic systems and static infrastructures cannot meet these challenges. Enterprise ITOps requires a more agile and intelligent approach that leverages advances in AI and automation to remain scalable, effective, and sustainable.

For many enterprises, incident response feels like déjà vu. The same issues keep happening over and over, eating up time, draining resources, and wearing down your teams. In fact, 20-40% of IT incidents are typically recurring issues, created by unresolved underlying problems. Teams prioritize speed over permanence, patching symptoms instead of addressing the root cause. They often lack the right context, documentation, or shared knowledge to permanently fix issues.

Business teams today move fast. Developers, site reliability engineers (SREs), and product owners expect to manage incidents, changes, and requests in a way that fits naturally into how they already work with tools like Jira and Confluence. Customers expect a seamless service experience powered by automation and AI. The result is a wave of teams adopting tools like Jira Service Management to get everything they need in one place without slowing down.