Operations | Monitoring | ITSM | DevOps | Cloud

Network operations centers (NOCs) are under increasing pressure to improve efficiency, reduce downtime, and accelerate incident resolution. Yet many struggle to define a clear NOC automation strategy. When your team is deep in the trenches, it’s easy to lose sight of the long term: The answers lie within our framework: the Resolve Capabilities Model. This model was developed in tandem with customer conversations about NOC automation, aspirations, broader tech challenges, and more.

A recently discovered security vulnerability requires attention from development teams using Next.js in production environments. Let’s discuss the vulnerability and look at a practical HAProxy solution that you can implement with just a single line of configuration. These solutions are easy, safe, and incredibly fast to deploy while planning more comprehensive framework updates.

Software engineering is trending, and the latest fads come and go with passionate adoption. Remember the OpenStack craze? Kubernetes? On-prem v cloud? I could go on and on, but one trend in software engineering that has surfaced in the last few years is DevOps & Platform Engineering.

The NPT 2714 is the latest addition to Ribbon’s NPT XDR2000 series of aggregation routers. It features an innovative, orthogonal architecture for modular, centralized routers, merging the best aspects of modular and fixed systems. This architecture combines the redundancy and I/O diversity of modular systems with the simplicity and cost-efficiency of fixed systems.

Machine learning (ML) and artificial intelligence (AI) are often used interchangeably in tech discussions, yet they represent distinct concepts with important differences. While AI refers to the broader field of creating machines capable of intelligent behavior that mimics human capabilities, machine learning is a specific subset of AI focused on developing algorithms that allow computers to learn from and make predictions based on data.