Netreo, Inc., provider of the state-of-the-art monitoring, analytics, and intelligence tools, now introduces new Kubernetes management functionality for container performance monitoring and optimization and adds to full-stack capabilities of the Netreo platform.
The tech titan, known for IT infrastructure monitoring and management leveraging AIOps, broke the news of the release of its Microsoft Azure Kubernetes Service (AKS) monitoring and management functionality. The new functionality associated with the Netreo platform will work toward delivering container performance monitoring, optimization of container health, and container cost control.
About AKS/Azure Kubernetes Service
Available on Microsoft Azure public cloud, Azure Kubernetes Service is a managed container orchestration service, based on the open-source Kubernetes system.
Enterprises can leverage AKS to deploy, manage, and scale Docker containers and container-based apps across a cluster of container hosts.
The VP of Product Management at Netreo, Xin Han, said, “With a growing number of IT organizations moving infrastructure to the cloud and utilizing microservice architectures, full visibility into those resources is a must-have.” He added, “The introduction of Azure Kubernetes Service (AKS) management to the Netreo platform, building on the Microsoft Azure monitoring capabilities brought to Netreo in our recent CloudMonix acquisition, gives users the deep insights needed to make informed decisions regarding their Azure infrastructure.”
The AKS monitoring functionality looks promising and will make a difference in various functions of enterprises, where IT Engineers benefit from this functionality by obtaining a greater level of efficiency while keeping a check on the health and performance of Kubernetes clusters with the help of a single source of truth across platforms.
This particular functionality helps IT operations in easy and quick identification of issues without investing time and efforts on manual testing of applications. It also helps reduce Mean-Time to Repair (MTTR) and offers end users a better experience.
The IT leadership team benefits from the functionality and improves efficiency at lower costs by tracking and dealing with costs associated with apps within the microservices architecture.