Operations | Monitoring | ITSM | DevOps | Cloud

At CloudZero, our mission has always been clear: power efficient innovation in the cloud by connecting engineering decisions with business outcomes. But here’s the truth — we’re not just solving for visibility. We’re solving for action. In order to turn theoretical savings into actual waste elimination and tangible outcomes, you have to enable engineers to act on cost insights within the tools and workflows they already use. CloudZero’s new Jira integration does just that.

In today’s business landscape, trust and reputation are the foundation upon which organizations are built. A single service outage or poor customer experience can severely damage both revenue and brand reputation. When customers or businesses encounter obstacles with their preferred vendor, they often turn to competitors – and these temporary shifts frequently become permanent changes in loyalty.

Flaky tests are a serious productivity problem. When tests sometimes pass and sometimes fail without code changes, they undermine trust in your CI pipeline and drain time from engineering teams. Debugging them often turns into a slow process of chasing logs, rerunning builds, and trying to guess what went wrong. This post shows how to quickly detect and fix flaky tests directly in your IDE by chatting with an AI assistant.

Agentic AI is coming to financial services. Elastic provides the data foundation and tools to make it work. In a recent talk at Stanford University, Jamie Dimon, chairman and CEO of JPMorganChase, addressed the firm’s use of AI and ended with mentioning that agentic AI was the next frontier of AI at the firm, inferring it wasn’t ready to be deployed yet. Let’s break down why that may be the case and what the financial services industry can do to become more comfortable with agentic AI.