Operations | Monitoring | ITSM | DevOps | Cloud

In the blink of an eye, 2023 has come to an end and the data center industry saw lots of movement towards sustainability, AI, and operational efficiency. Data center management is ever-changing and evolving, and it’s important to stay on top of the latest trends to guide you to success in the new year. With 2024 just days away, here are the top 10 emerging data center management trends that you should watch out for.

With the release of Grafana 10.2, we made a number of enhancements to Grafana Alerting. These updates included the rollout of Insights, a new section of the Grafana Alerting home page. Available now to all Grafana Cloud users, Insights offers valuable information, such as statistics on alert rules and notifications, to help you monitor alerting data and quickly analyze alert performance.

A deep dive into networking reveals a plethora of protocols and methodologies. One such protocol that stands out is the Asynchronous Transfer Mode (ATM), a switching technique designed to unify telecommunication and computer networks.

Kubernetes is an excellent solution for building a flexible and scalable infrastructure to run dynamic workloads. However, as our cluster expands, we might face the inevitable situation of scaling and managing multiple clusters concurrently. This notion can introduce a lot of complexity for our day-to-day workload maintenance and adds difficulty to keep all our policies and services up to date in all environments.

Introducing the latest update of Alloy mobile apps with the ability to connect to Alloy Navigator by scanning a QR code.

PyTorch is an open-source machine learning (ML) framework that accelerates the path from research prototyping to production deployment. You can work with PyTorch using regular Python without delving into the underlying native C++ code. It contains a full toolkit for building production-worthy ML applications, including layers for deep neural networks, activation functions and optimizers. It also has associated libraries for computer vision and natural language processing.