Operations | Monitoring | ITSM | DevOps | Cloud

We here at JFrog have long advocated for promoting – never rebuilding – release candidates as they advance across the stages of your SDLC. For many JFrog customers, that meant using JFrog’s “Build Promotion” capabilities. Now you can level up your CI/CD game with promotions using Release Lifecycle Management (RLM)! In this article we’ll show you why promotions with RLM are more simple, secure, and scalable than our legacy build promotion API.

As systems grow more distributed and complex, having a reliable way to monitor and understand what's happening across your infrastructure becomes essential. Telemetry data provides the visibility needed to keep everything running smoothly, whether you're managing microservices, cloud environments, or sophisticated AI systems. In this guide, we’ll break down what a telemetry data platform is, why it’s so important, and how you can choose the right one to meet your needs.

When working with Kubernetes, pods are the fundamental building blocks of deployment. But not all pods are created equal. Understanding the different types of pods and their use cases is crucial for optimizing workloads, ensuring reliability, and maintaining efficiency in your cluster. Let's break it all down.

Kubernetes has become the go-to platform for managing containerized applications, but its architecture can seem complex to DevOps teams. Let’s break it down into simple terms and explore how tools like Site24x7 can simplify the process of designing and monitoring Kubernetes architecture.

Managing and knowing where your cloud spend goes is nearly impossible without the right cloud cost management tools. Cloud-native, distributed technologies like microservices, containers, and Kubernetes can make it even more difficult to have full visibility into resource usage — and the associated costs. This cost information is also often buried in rows and columns of text on cloud providers’ bills. In addition, a lot of cloud cost management tools are clunky and inexact.

1 year later… Technology leaders face a critical challenge that keeps them up at night: transforming their digital infrastructure without burning through budgets or risking operational disruption. In today’s hyper competitive business landscape, cloud migration isn’t just a technical upgrade, it’s a strategic imperative that can make or break an organization’s future. That’s where experience matters.

The terms engineering excellence and developer experience are often used in ways that make them seem interchangeable. While these concepts do overlap, it’s important to understand that developer experience (DX) is just one subset of engineering excellence, not a one-to-one match. Below, we define engineering excellence, clarify what developer experience entails, and explore how improving developer experience supports—but does not replace—the broader objectives of engineering excellence.

System logs play a crucial role in debugging and monitoring in Ubuntu. When a service misbehaves or an unexpected crash happens, logs hold the answers. They’re also great for keeping an eye on system performance. Knowing how to access, read, and manage these logs can save you hours of troubleshooting. This guide covers everything you need to know about Ubuntu system logs—from where they’re stored to how to analyze them efficiently.

Managing logs in Docker can quickly become overwhelming, especially when dealing with multiple containers. If you’ve ever tried to sift through a sea of log entries looking for a specific error or debugging message, you know the struggle. Fortunately, you can pipe docker logs output through grep to filter logs efficiently. This guide breaks down how to use docker logs grep it effectively, including practical examples to help you debug and monitor your containerized applications like a pro.