Deliver fully automated, cost-optimized infrastructure scaling

With AI-driven prediction of spot instance interruptions and advanced workload rebalancing, enjoy extreme cost reduction in AWS, Azure and GCP for even your production and mission-critical workloads. Free your team to focus on core activities with our simplified infrastructure management and enterprise-grade availability SLA for stateless and stateful applications running on the perfect blend of spot, reserved and on-demand instances.

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Automate infrastructure scaling, performance & cost savings

Predictive analytics and autoscaling ensure your applications always have the resources they need, without interruption.
Automated provisioning, scaling and monitoring for your cloud compute, frees your teams from the complexities and risks of manual management.
Advanced balancing of spot, reserved and on-demand pricing provides you with the most cost-effective and risk-free cloud compute available.
As our confidence in the platform grew stronger, we gradually on-boarded more AWS accounts, and today we are running hundreds of EC2 instances across several AWS accounts with Elastigroup.
Pradeep Thangavel, Engineering Manager
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How it works


Using machine learning models based on years of data on cloud compute markets and real-time monitoring of your resource usage, Elastigroup models both your resource needs and cloud capacity, demand and pricing by instance type, size, OS and location.


Uses predictive rebalancing algorithms to predict spot instance interruptions in advance, gracefully draining at-risk instances and migrating them to new instances to avoid disruption and maintain required capacity.


Chooses the best instance type to launch when scaling up and which instance to terminate when scaling down, taking into account price and user-specified scaling and provisioning policies.


Continuously assesses health of instances based on preconfigured health checks, proactively replacing unhealthy instances to ensure availability based on cloud provider criteria, third party integrations, or custom definitions.


Predictive autoscaling

Elastigroup’s predictive autoscaling simplifies the process of defining scaling policies, identifying peak times and automatically scaling to ensure the right capacity in advance. Machine learning algorithms predict the future load of your application and proactively scale the cluster in order to accommodate peak traffic.

Cost optimization

Elastigroup keeps your cluster running at peak performance while using an optimal mix of on-demand, spot and reserved instances. It ensures that underutilized reserved instances are used before launching spot instances for maximum cost-efficiency. When using on-demand instances, Elastigroup will automatically revert to spot instances whenever possible, without losing data or state.

Enterprise-grade SLA

Elastigroup constantly monitors and predicts spot instance behavior, capacity trends, pricing, and interruption rates. Whenever there’s a risk of interruption, Elastigroup proactively adds capacity and replaces instances, ensuring workload continuity.

Real-time visibility & monitoring

Elastigroup provides valuable visibility into cluster activity and costs. Use live views of potential and actual costs, resource utilization, and running instances. Set budgets per cluster, define alert thresholds and receive notification alerts about budget deviations.

Application-aware infrastructure

Elastigroup matches infrastructure behavior to the type of workload you’re running. Register and deregister servers from load balancers, use a variety of health checks to monitor health, or run stateful workloads on excess capacity without worrying about data integrity.

Seamless integration with your stack

Elastigroup easily plugs into the tools you already use including Infrastructure as Code providers such as Terraform, CloudFormation, Ansible, Chef, and Puppet. Keep your existing templates in place, and let Elastigroup determine and enforce the best possible mix of server sizes, types, and lifecycles for your workloads.


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