Operations | Monitoring | ITSM | DevOps | Cloud

For enterprises embracing Kubernetes, managing these intricate environments can pose significant challenges. Thankfully, monitoring of Kubernetes clusters is readily achievable using the Universal Monitoring Agent (UMA) in conjunction with DX Operational Observability (DX O2).

Private cloud infrastructure adoption is accelerating rapidly. This move is driven by the ongoing “cloud reset” as leaders rethink their hybrid and multi-cloud strategies, seeking greater control, security, and flexibility for their IT workloads. As a matter of fact, leaders in 69% of organizations are considering repatriating workloads, and one-third already have.

DX Operational Observability (DX O2), our next-gen AIOps and Observability product, continues to provide new features and enhancements for practitioners across IT. DX O2 delivers a host of enhancements designed to empower IT operations, DevOps, and SRE teams. In this post, I introduce five powerful enhancements, outline steps to get started, and describe some of the benefits, which include deeper insights, improved efficiencies, and a more unified observability experience. Here are the five enhancements.

The familiar scene unfolds: Critical applications are sluggish, user complaints are mounting, and the IT war room is buzzing. Eyes quickly dart towards the network team. It’s an almost instinctual reaction. But what happens when the problem isn't within the corporate LAN or even the data center? What if the real culprit lurks somewhere in the vast, untamed wilderness of the internet, a cloud provider's backbone, or a third-party SaaS application’s infrastructure?

For decades, the enterprise network was a well-defined fortress and network engineers were its meticulous guardians. However, their visibility and control was largely confined within the parameters of their organization's infrastructure. The cloud revolution and the ubiquity of SaaS applications have shattered these traditional boundaries. Today, for virtually every organization, the internet is the new enterprise network.

In recent years, network performance and business performance have become increasingly intertwined. Now, virtually every critical employee and customer service is in some way reliant upon network connectivity. When connectivity falters, those critical processes can be impaired or stopped completely. However, for too many teams, it can be difficult to knowledgeably determine how specific outages or issues actually affect a business service. For example, say an operator discovers a device is down.

Within the utility sector, a lot is changing. Utilities continue to pursue digital transformation, altering the way services are delivered and operations are managed. What hasn’t changed is the criticality of the services provided. These organizations deliver essential resources like natural gas, electricity, and water—services that we as consumers rely upon constantly for our comfort, sustenance, communications, and more.

We've all been there. Users report that applications are slow, calls are dropping, or that "the internet is broken." Yet, a glance at the network dashboards shows a sea of green—latency looks acceptable, packet loss is minimal, and bandwidth seems fine. This common scenario highlights a fundamental challenge in network observability: the perceived disconnect between the technical measurements we gather and the actual experience of the people using our digital services.

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.