Operations | Monitoring | ITSM | DevOps | Cloud

Running Ubuntu servers without proper monitoring can lead to unexpected issues. For DevOps engineers and SREs, effective tracking is crucial for maintaining system health and performance. This guide covers everything you need to know about monitoring Ubuntu servers, from the basics to advanced strategies, helping you keep your systems running smoothly, whether you manage a single server or a large fleet.

If you've been in earshot of tech leadership lately, you've probably heard the words 'EU,' 'AI,' and 'compliance' in conversation. The EU AI Act is officially upon us, and with it comes a whole new set of incident response and reporting requirements that might feel like a yet another bureaucratic set of requirements to worry about. But there's a different way to look at this legislation.

Organizations use ServiceNow to triage incidents, deliver services, and track changes. But just because ServiceNow is frequently used it doesn’t mean it’s intuitive for everyone. The real challenge lies in how people use it.

Artificial intelligence is reshaping how enterprises manage and secure their networks, but not all AI is created equal, and not all Large Language Models (LLMs) are ready for the job. While tools like ChatGPT and Google Gemini are transforming communication and productivity, applying general-purpose LLMs to something as specialized and high-stakes as network operations is an entirely different challenge. Networks are dynamic, complex, and context-heavy.

Over the past ten years, Azure has become one of the most prominent cloud computing platforms available, rivaled only by AWS. Part of Microsoft’s suite of Azure services, Azure web apps provide a packaged environment for hosting web applications built in many languages. Because this environment is fully managed by Azure, developers have limited options for control.

Modern cloud-native applications rely on Kubernetes as their leading container orchestration platform. The adoption of Kubernetes in 2025 has achieved remarkable heights, making it the primary operator of vital enterprise systems across financial technology and healthcare organizations. Kubernetes environments continue to grow increasingly complex, and their dynamics are evolving, so monitoring has become an essential strategic practice.

A calmer way to respond quickly, without the shock. I’m really excited to share a new feature that’s been close to our hearts (and ears ): Gentle High Priority Alerts. This one’s for everyone who’s ever been jolted out of sleep, or even deep focus, by a high-priority notification/”page” that felt more like an alarm clock than an alert.

Earlier this month the development industry was preparing for rate limit changes at Docker Hub. Ultimately, any rate limit changes were put on hold. Many JFrog customers have asked us, “How would Docker Hub rate limit changes impact us?” In this post we’ll discuss what you can do to ensure uninterrupted usage of Docker, now and into the future, regardless of rate limits.

You’re probably familiar with finding surprise, hidden charges if you’ve been using the cloud for a while. Data transfer fees are the most common source of unanticipated Amazon Web Services (AWS) charges. They can be so costly that some companies, like Netflix and Pinterest, have spent fortunes on data transfer fees — up to $30 million a year. In this post, we’ll share tips for navigating AWS data transfer pricing and how you can optimize costs.