Introducing CloudCheckr Spot Management

Automatically Optimize AWS Compute Usage to Reduce Costs

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Introducing CloudCheckr Spot Management

Reduce EC2 Usage Costs by up to 80%

Amazon Web Services Spot Market offers organizations significant cost saving opportunities by leveraging excess cloud computing capacity. CloudCheckr Spot Management turns insight to action and helps users efficiently manage their Spot resources. By ensuring that high-demand, mission-critical, and persistent applications have the coverage they need to run 100% consistently, customers can realize the true cost saving potential of AWS Spot Instances.

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CloudCheckr Spot Management

Predictive Analytics to Eliminate Downtime

CloudCheckr Spot Management provides a deeper level of intelligence and control to optimize Spot Instance usage. Integrating total visibility and actionable insights within CloudCheckr’s cloud management platform provides customers predictability and cost savings across EC2 services.

CloudCheckr Spot Management

Automated Spot Management & Optimization

CloudCheckr Spot Management overcomes the challenge of interruptible Spot Instances by leveraging Spotinst’s Elastigroup analytics and proprietary algorithms to forecast and mitigate potential workload interruptions. CloudCheckr’s sophisticated platform provides unified governance across instance types to ensure maximum up-time at the absolute minimal cost.

CloudCheckr Spot Management

Comprehensive Visibility & Governance

When combined with CloudCheckr’s cost and expense management capabilities for reserved instances and on-demand instances, customers get total visibility, predictability, and cost savings across their entire EC2 fleet.

CloudCheckr Spot Management

Highly Scalable

CloudCheckr Spot Management can automatically increase the number of instances during demand spikes to maintain performance and decrease capacity during lulls to reduce costs. It is well suited both to applications that have stable demand patterns or that experience hourly, daily, or weekly variability in usage.

CloudCheckr Spot Management Capabilities

Predictive Analytics

Predictive Analytics

Potential capacity interruptions are caught early so applications can be smoothly transitioned to the least expensive available Spot Instances to eliminate downtime, meet capacity demands, and reduce costs. Proactively manage applications with both stable demand needs and variable usage patterns.

Blended Clusters

Blended Clusters

CloudCheckr facilitates decisions across On-Demand, Reserve, and Spot Instances to achieve the proper balance between cost and performance. CloudCheckr Spot Management automatically manages Spot instance bidding and purchasing operations based on capacity availability, potential savings and user preferences.

Instance Fallback Support

Instance Fallback Support

In the event that Spot Instances are not available, CloudCheckr Spot Management transitions to On-Demand or Reserved Instance options to reduce disruptions in end user experiences. When Spot capacity become available, instances are gradually reverted and On-Demand is turned off.

Proactive Spot Market Usage

Proactive Spot Market Usage

Sophisticated, data-driven technology autonomously handles bidding in the global Spot Market to ensure maximum availability for minimum cost—with little to no effort required from the end user. CloudCheckr Spot Management ensures efficiency by automatically spinning up new servers and deregistering failed hosts.

Automatic Capacity Scaling

Automatic Capacity Scaling

Scale-out seamlessly and automatically when demand increases. CloudCheckr Spot Management operates automatically based on scaling policies to increase instances for consistent performance during high demand periods, while decreasing capacity based on user-set metrics to reduce costs.

Scheduled Automation

Scheduled Automation

Easily schedule instance capacity to support DevOps and QA functions with cron-based task automation. CloudCheckr Spot Management enables changes when and where additional capacity is needed. Continuous and automated Snapshot functionality captures instance storage and ensures the persistent data needed for accurate recovery.

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