Netreo Announces Release of Microsoft AKS Monitoring and Management Functionality
New Kubernetes management functionality for container performance monitoring and optimization further extends full-stack monitoring capabilities of the Netreo platform
Netreo, the award-winning platform for IT infrastructure monitoring and management leveraging AIOps, announced the release of its Microsoft Azure Kubernetes Service (AKS) monitoring and management functionality. This new functionality within the Netreo platform will deliver container performance monitoring, optimization of container health, and container cost control.
Azure Kubernetes Service (AKS) is a managed container orchestration service, based on the open source Kubernetes system, which is available on the Microsoft Azure public cloud. An organization can use AKS to deploy, scale and manage Docker containers and container-based applications across a cluster of container hosts.
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“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,” said Xin Han, VP of Product Management at Netreo. “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.”
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This new AKS monitoring functionality will bring greater efficiency and decision making across all functions of the IT organization:
- IT Engineers – Obtain greater efficiency when monitoring the health and performance of Kubernetes clusters, as it provides a single source of truth across platforms.
- IT Operations – Identify quickly the source of issues without the need to manually test applications, thereby reducing Mean-Time To Repair (MTTR) and providing an optimized experience for end-users.
- IT Leadership – Improve efficiency at a reduced cost by tracking and managing the costs associated with applications within the microservices architecture.
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