Operations | Monitoring | ITSM | DevOps | Cloud

Working in the field of software monitoring may seem boring or too technical, but let me tell you that there is more fun and excitement than one might imagine at first. Not that we’re all day doing barbecues and celebrating, but once we almost did our very own Olympics in the office! Kind of like The Office, you know. *Long live Michael Scott. Anyway, join me on this journey for a day in the life of a software monitoring expert, where code lines mingle with laughter and soluble coffee.

Many of us have heard single-page applications (SPAs) hailed as the future of web applications. Proponents of SPAs point to increased code reusability and development velocity, and the advantage SPAs can give when it comes to delivering a fast and seamless user experience. Massive sites like Facebook, AirBnB and Trello are all built as SPAs. On the flipside, monitoring SPAs for performance is pretty challenging.

Originally posted on Forbes Technology Council As organizations increasingly embark on their digital transformation journey, IT is turning into a profit center, rather than a cost center. CIOs (chief information officers) are more than often referred to as chief innovation officers. New roles like chief data officer and chief analytics officer are rising to prominence. AI and data are at the center of this transformation, as CxOs are faced with daunting challenges in.

Network topology mapping is the process of mapping topological relationships between network components and establishing those relationships in the form of network diagrams. Network mapping helps visualize physical and logical connections between all elements and nodes, thus simplifying network management. A network topology mapper is a tool that helps perform network mapping effectively.

But whether it’s replatforming legacy applications or migrating them to the cloud, enterprise IT leaders routinely suffer from run-away costs, unforeseen complications, and out-of-control environments on the other side of the modernization process. Yet, as an enterprise IT leader you have little choice but to forge ahead.

Writing clean and efficient code can be time consuming, but with the right tools, it can be much easier. In this blog post, we will explore how to use Copilot for code autocompletion and JFrog Artifactory for your package management.

The rapid adoption of software-defined wide-area networking (SD-WAN) has revolutionized how organizations connect their distributed networks. As businesses strive for improved performance, cost efficiency, and enhanced security, SD-WAN solutions have emerged as a game-changer. However, orchestrating a successful SD-WAN migration at a global scale presents numerous challenges that demand careful planning, meticulous execution, and robust network performance monitoring (NPM) capabilities.

With Infrastructure as Code and service-oriented development, a modern web app can consist of countless moving parts developed by multiple development and DevOps teams. When establishing a high-velocity development environment, the main question is, "How can you guarantee a stellar end-user experience when lots of engineers are constantly pushing and deploying code?" Solid, easy-to-write, and clearly defined monitoring practices are the only answer to this question.

Managing containerized applications efficiently in the dynamic realm of Kubernetes is essential for smooth deployments and optimal performance. Kubernetes empowers us with powerful orchestration capabilities, enabling seamless scaling and deployment of applications. However, in real-world scenarios, there are situations that necessitate the restarting of Pods, whether to apply configuration changes, recover from failures, or address misbehaving applications.