IBM Turbonomic | 100 VMs | 100 Cloud instances

Rp 53.498.023

IBM Turbonomic is an advanced hybrid cloud management platform designed to optimize the performance and efficiency of IT resources across on-premises, public cloud, and hybrid environments. By utilizing artificial intelligence (AI) and machine learning, Turbonomic automatically manages and optimizes workloads in real-time, ensuring that applications run with the best possible performance while minimizing infrastructure costs. It provides businesses with the ability to balance demand with supply, ensuring optimal resource allocation and delivering a seamless user experience.

The platform continuously analyzes the health and performance of applications, infrastructure, and networks, automatically adjusting resources based on workload demand. This results in improved efficiency, reduced over-provisioning, and enhanced operational agility. IBM Turbonomic’s powerful algorithms ensure that applications receive the right amount of resources at the right time, empowering IT teams to focus on strategic initiatives rather than manual optimization tasks.

One of the key benefits of IBM Turbonomic is its ability to support both cloud-native and traditional applications, providing a comprehensive solution for modern IT environments. The platform integrates seamlessly with a wide range of cloud and on-premises technologies, ensuring businesses can manage their resources with minimal disruption. Additionally, Turbonomic enables cost optimization, improving ROI through intelligent decision-making that reduces waste and enhances infrastructure efficiency.

IBM Turbonomic is ideal for businesses looking to improve their operational efficiency while lowering IT costs. Whether running applications on a private data center or a public cloud, the platform ensures that all resources are utilized optimally, empowering organizations to scale with ease and enhance their digital transformation.

Product Overview
AI-powered hybrid cloud management.
Real-time workload optimization and performance management.
Supports cloud-native and traditional applications.
Integration with public cloud and on-premises technologies.
Automated resource management and optimization.
Cost-effective, intelligent decision-making for optimized resource allocation.
Enhanced operational agility and improved efficiency.

Key Features
AI-Driven Optimization – Automatically adjusts workloads and resources for peak performance.
Real-Time Insights – Provides continuous analysis of application, infrastructure, and network performance.
Hybrid Cloud Support – Manages both cloud-native and traditional workloads in a single platform.
Cost Optimization – Helps businesses reduce IT costs by optimizing resource allocation.
Integration Flexibility – Seamlessly integrates with various cloud and on-prem technologies.
Performance and Health Monitoring – Ensures high application performance through continuous monitoring.
Scalability – Enables businesses to scale resources efficiently as demand fluctuates.

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