Increased your Cost-Efficiency through Intelligent Workload Distribution.

AI-Powered Resource Allocations Help Operators to Reduce Infrastructure Costs Significantly and to Automate Workflows for Enhanced Operational Efficiency.

A hybrid cloud controller acts as an intelligent orchestration layer that helps service operators to achieve significant operational efficiencies and substantial savings on their cloud and infrastructure expenses, optimizing resource allocation by understanding dependencies and dynamically placing workloads, reducing infrastructure costs by leveraging the most cost-effective resources and minimizing waste, lowering operational costs through automation, simplified management, and proactive issue resolution and providing crucial visibility and control through continuous audits.

Intelligent Deployment Automation

  • Cost Optimization Through Dynamic Placement The controller can continuously monitor resource utilization and cost across both environments. It can automatically move workloads based on predefined policies or real-time conditions to leverage the most cost-effective resources at any given time. This could involve: Cloud Bursting When on-premises resources are nearing capacity, less critical workloads can be automatically moved to the cloud to avoid the need for immediate capital expenditure on new on-prem hardware. Spot Instance Utilization The controller can intelligently deploy fault-tolerant workloads on cheaper cloud spot instances when available and seamlessly move them if prices fluctuate or instances become unavailable. Right-Sizing By continuously analyzing resource consumption, the controller can recommend or automatically resize cloud instances to match actual needs, preventing overspending on underutilized resources.  

  • Improved Performance and Agility Automated workload distribution ensures that applications always have the resources they need, leading to better performance and user experience. It also allows for faster scaling and deployment of new services without manual intervention, increasing business agility.

  • Reduced Waste and Idle Resources By dynamically allocating resources based on demand, the controller minimizes the amount of idle capacity in both on-prem and cloud environments, directly translating to infrastructure cost savings.

Automated Dependency Management Between Cloud and On-Prem Resources

  • Optimized Resource Utilization A hybrid cloud controller understands the intricate relationships between your on-premises resources (servers, storage, network) and your cloud resources (compute instances, storage buckets, managed services). By having this holistic view, it can intelligently place workloads where they run most efficiently and cost-effectively. For instance, a latency-sensitive application might remain on-prem, while a batch processing job can leverage cheaper cloud compute during off-peak hours. This avoids over-provisioning in either environment.

  • Reduced Downtime and Improved Reliability By mapping dependencies, the controller can proactively identify potential points of failure. If an on-premises component crucial for a cloud application is nearing capacity or experiencing issues, the controller can automatically shift dependent workloads to the cloud or provision additional cloud resources before an outage occurs. This minimizes costly downtime and service level agreement (SLA) breaches.

  • Simplified Management and Reduced Overhead Instead of managing on-prem and cloud environments in silos, a unified controller provides a single pane of glass. This reduces the complexity of managing disparate tools and teams, leading to lower operational overhead in terms of staffing, training, and tool maintenance.

Governance, Risk and Compliance Controls for Platform Changes

  • Enhanced Visibility and Cost Tracking Continuous audits provide a detailed and up-to-date view of resource consumption and spending across the entire hybrid environment. This granular visibility allows enterprises to identify cost inefficiencies, underutilized assets, and potential areas for optimization.

  • Improved Governance and Compliance Automated audits can ensure that resource usage and configurations adhere to predefined policies and compliance requirements. This helps avoid costly penalties and security breaches that can arise from misconfigurations or non-compliance.

  • Data-Driven Decision Making The insights gained from continuous audits provide valuable data for making informed decisions about resource allocation, capacity planning, and cost optimization strategies. This allows enterprises to proactively manage their infrastructure spending rather than reactively addressing overspending.

  • Identification of Shadow IT and Rogue Spending Continuous monitoring can detect unauthorized or unmanaged cloud resource usage (shadow IT), which can often lead to unexpected and uncontrolled costs. The controller can flag these instances for review and remediation.