Operations | Monitoring | ITSM | DevOps | Cloud

Modern infrastructures are no longer confined to on-premises servers alone. Instead, they span cloud environments, containers, microservices, and globally distributed systems. This landscape, known as a hybrid cloud environment, has become the new norm for organizations, primarily because it offers the scalability of the cloud and ownership over specific elements afforded by an on-premises setup.

The wait is finally over! We are thrilled to announce that DX NetOps 24.3.9 marks the official general availability (GA) of DX NetOps Topology, a key milestone in our network observability journey. After a successful early access program with many customer deployments, we are excited to bring this highly anticipated solution to the broader community. DX NetOps Topology is designed to provide you with the insights and operational efficiency needed to manage both traditional and software-defined networks.

Orchestration platforms such as Kubernetes and OpenShift help customers reduce costs by enabling on-demand, scalable compute resources. Customers can manually scale out and scale in their Kubernetes compute resources as needed. Autoscaling is the process of automatically adjusting compute resources to meet a system's performance requirements. As workloads grow, systems require additional resources to sustain performance and handle increasing demand.

If you want a secure, efficient, and compliant network, network configuration management is a must. Whether managing a small network or being responsible for a large enterprise system, having the right solution can make all the difference. Network configuration management tools provide valuable insights into devices on your network, and they can help quickly restore previous configurations in the event of a failure, misconfiguration, or security incident. What is network configuration management?

Slow Zoom calls, dropped VPN connections, and lagging applications sound familiar? These common network frustrations often stem from underlying performance issues that could be diagnosed and resolved with the right data. For IT professionals, raw network metrics alone aren’t enough. To truly optimize performance, you need network statistics: aggregated, analyzed, and interpreted insights that turn numbers into actionable decisions.