It’s a scenario many developers know all too well: a configuration works flawlessly for one team member but doesn’t work for you. Starting a new job brings with it the excitement of fresh challenges and opportunities. However, it also entails the often painful task of setting up your development environment—a process that can be both time-consuming and complex. This setup phase involves installing dependencies, configuring projects, and troubleshooting issues that might arise.

Grafana Cloud offers organizations an end-to-end observability platform, without the overhead of building and maintaining their own observability stack. We’re constantly shipping new Grafana Cloud features to ensure users get the most out of the fully managed platform, which is powered by our open source Grafana LGTM Stack (Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics).

In this blog, we will discuss the five important metrics that'll help you fine-tune your Azure App Service environment effectively.

Nearly every operating system comes with at least one kind of service management. On a Unix-based operating system, this is historically part of the init system. While the specific tools have matured over time and there are changes between operating systems, they are essentially used to orchestrate both operating system services and user services. Specifically, a service manager ensures that, e.g., a web server is started once the network is configured and available.

With an ever-growing market of digital products, it is becoming increasingly important for every business to ensure a high level of customer satisfaction. In the past, companies might have been able to get away with slow or messy websites. Today, if a customer gets frustrated even once, they will likely abandon your product in search of a better replacement.

Since the release of ChatGPT, there’s been growing excitement about the potential of generative AI—a class of artificial intelligence trained on pre-existing datasets to generate text, images, videos, and other media—to transform global businesses. Last year, we released our own generative AI-powered DevOps copilot called Bits AI in private beta. Bits AI provides a conversational UI to explore observability data using natural language.

In the dynamic world of container orchestration, Kubernetes stands out as the undisputed champion, empowering organizations to scale and deploy applications seamlessly. Yet, as the deployment scope increases, so do the associated Kubernetes workload costs, and the need for effective resource capacity planning becomes more critical than ever. When dealing with containers and Kubernetes you can find yourself facing multiple challenges that can affect your cluster stability and your business performance.

In the digital era, where data flows like a ceaseless river, real-time monitoring stands as a pivotal technology, allowing organizations to not only keep pace but also to deeply understand the intricate dance of their operational ecosystems. This technology is not just about keeping tabs; it’s about gaining a profound, almost intuitive sense of the micro-worlds within which systems, containers, services, and applications pulse and thrive.

Root Cause Analysis (RCA) is the best way to find out what causes an issue in your IT operations (ITOps). In other words, it is a great versatile analysis method for corrective action that is inherent to the ITIL framework. It’s a comprehensive approach that all managers can appreciate. In the IT industry, this method is invaluable since its ability to swiftly and effectively address problems is what distinguishes proactive IT Service Management (ITSM).

NMS can do so much that one blog topic triggered an idea for another, and another, and here we are, six posts later and I haven’t explained how to install NMS yet. The time for that post has come.