Operations | Monitoring | ITSM | DevOps | Cloud

The financial services industry is undergoing a major transformation. According to the McKinsey & Company 2025 Global Payments Report, digital payments continue to dominate, generating approximately $2.5 trillion in revenue from around $2.0 quadrillion in value flows across 3.6 trillion transactions worldwide. In another survey conducted by JP Morgan says that, more than 30 percent of financial professionals reported that faster payments are having a positive impact on their organizations in 2025.

With AI the centerpiece of technology and innovation today, energy efficient computing is quietly becoming one of the most urgent challenges. In this article, we will discuss what makes energy efficient computing relevant for your organization, especially when modern resource-intensive AI workloads play an important role in driving your business operations and services.

DZone’s 2025 Intelligent Observability Trend Report captures a real inflection point: teams are shifting from “more data” to outcome-driven practices that improve resilience and accountability. The survey was gathered between August 28 and September 25, 2025, from a global pool of developers, architects, and IT professionals.

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?

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.

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.

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.