Operations | Monitoring | ITSM | DevOps | Cloud

Monday: the CEO complains their laptop is slow. Tuesday: the billing software stops working. Thursday: the sales team misses a crucial meeting because Microsoft Teams crashes. This cycle of “fighting fires” is, for many IT departments, the “norm.” It’s a reactive state, where the team’s value is measured by the speed of its response to problems, not by its ability to prevent them. According to Leandro Silva, CEO of Almaden, there is a better path.

One of Grafana’s greatest strengths is its ability to provide a consistent monitoring experience for all your data sources. But not everyone wants to go through the process of transforming that data and setting up a data warehouse to make that happen, especially for complex analyses.

In May, we announced the public preview of Prometheus native histograms in Grafana Cloud, unlocking greater precision, ease of use, and compatibility for analyzing latency, duration, and other distributions. Since then, we’ve seen incredible adoption across industries—from financial services companies to e-commerce platforms. Last week, during PromCon EU 2025, the Prometheus developers announced that native histograms are now stable, after three years of intense testing and improvements.

Revenue Operations is at a decisive turning point. The modern customer journey is getting more complex, with buyer paths broken across multiple digital touchpoints and competitors quickly shifting their strategies. For years, Chief Revenue Officers (CROs) have tried to manage this environment by adding more technology and processes; yet, sustained revenue growth remains elusive.

Today, generative AI has transformed customer experience (CX) from scripted exchanges to dynamic conversations at scale. And nearly every enterprise is feeling its immediate impact. But as your peers rush to deploy chatbots and automate responses, leaders face a blunt reality: the real race is only just beginning. Generative models are powerful, but fundamentally limited. They can personalize dialogue, but not execute decisions. They react to customer needs, but cannot act on them.

An effective post-mortem can turn a security breach into a blueprint for lasting resilience. But too often, in the stress of an incident, documenting what happened takes a back seat to containment and recovery. The resulting analysis relies heavily on memory, scattered notes, and competing narratives. Valuable context gets lost, timelines blur, and lessons that could strengthen defenses never become institutional knowledge.

In the spirit of Halloween, let's talk about monsters. Not the kind that hide under your bed, but the ones that live inside your network infrastructure. For those responsible for keeping the lights on, these creatures aren't fictional; they are a daily reality. Your environment can feel like an episode from the Real Ghostbusters, teeming with things that snarl, bite, and cause chaos at the worst possible moments. Forget silver bullets; trying to fight them one by one is a losing battle.

A data analyst opens a new AI tool and spends 30 seconds generating a complex visualization of quarterly revenue trends. Chart duly generated, they have to decide: could they present this chart directly to their CEO?