Operations | Monitoring | ITSM | DevOps | Cloud

Real User Monitoring (RUM) measures how real users interact with your application in production. Unlike synthetic monitoring, which relies on scripted tests, RUM collects data from actual sessions. This means performance is observed across different devices, networks, and usage patterns. The result is a clear view of how the application behaves under real conditions, where latency is introduced, which features take longer to load, and at what points users drop off.

Atlassian’s Bitbucket Cloud has tightly integrated CI/CD capabilities via its Bitbucket Pipelines feature set. However, some of our Bitbucket Cloud and Bitbucket Data Center customers still use Jenkins for CI/CD. In this blog, I present a practical walkthrough of the benefits of Bitbucket Pipelines over a tool like Jenkins in the context of two key stats from our recent State of DevEx 2025 report.

Data-driven decisions are critical. And to support high-stakes decision-making – from fraud detection in credit card transactions to demand forecasting in retail – organizations are increasingly relying on complex models. According to McKinsey, 78% of organizations report using AI in at least one business function, highlighting just how embedded AI and ML models have become in operational and strategic decision-making.

The Zero Trust model has fundamentally shifted how organizations secure their applications and infrastructure. Instead of assuming anything inside your network is safe, the Zero Trust security model requires continuous verification of every identity, every device, and every access request across the entire trust model, forcing users and devices to prove that they can access what they are trying to access.

Launch Week Day 1: Introducing Discover Services Picture this: It's 2 AM, alerts are firing, and you're staring at a dashboard trying to figure out which service is causing the cascade of failures. Your service map is a six-month-old Miro board, and you have no idea what's actually talking to what in production right now. If you've been there, you're not alone. In fast-moving teams, new services get deployed faster than you can track them.

One of the biggest benefits of the cloud is that it gives engineering teams the freedom to deploy and iterate applications quickly. Unlike traditional IT environments where engineers require a series of approvals before embarking on projects, in the cloud, engineers can choose from several managed services and deploy them at the click of a button. This means your team can innovate faster and respond quickly to market demands.

AI is surging into products. And the invoices are exploding with it. The key question is no longer, “How much did we spend?” It’s now: “Was it worth it?” That shift, from totals to value, is at the heart of FinOps. The FinOps community defines the practice as bringing financial accountability to the cloud, so teams make tradeoffs with clear business context. In plain English, measure value per dollar, then optimize the system and not just the bill.