Automates EC2 Spot instance usage on existing AutoScaling groups to save up to 90% on AWS costs.
AutoSpotting is an open-source AWS cost optimization tool that automates the use of Spot instances on existing AutoScaling groups. It replaces on-demand EC2 instances with cheaper Spot instances, saving up to 90% on compute costs while maintaining reliability through automated failback to on-demand capacity. The tool requires minimal configuration, often just a tag on AutoScaling groups, and integrates seamlessly with AWS services like load balancers and health checks.
DevOps engineers, cloud architects, and FinOps practitioners managing AWS EC2 workloads who want to reduce costs without significant infrastructure changes. It's especially valuable for organizations with large EC2 footprints seeking quick, low-effort migration to Spot instances.
Developers choose AutoSpotting for its frictionless adoption—it works with existing AutoScaling groups without modifying launch configurations. Unlike manual Spot management or other tools, it offers automated instance diversification, reliable on-demand failover, and bias toward newest/cheapest instance types, all while running securely within the user's AWS account.
Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.
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Automatically achieves 60-90% savings on EC2 costs by replacing on-demand instances with Spot instances, as stated in the project description and key features.
Enabled via simple tags like 'spot-enabled=true' on AutoScaling groups, avoiding complex setup and infrastructure changes, emphasizing frictionless adoption.
Reliably fails over to on-demand instances during Spot capacity issues, leveraging AutoScaling for continuity without manual intervention, as highlighted in the benefits.
Uses a capacity-optimized-prioritized allocation strategy biased toward newest and cheapest instance types for optimal performance and cost, detailed in the how-it-works section.
Lacks key features such as support for Mixed Instances Policy, parallel instance replacement, and proactive Spot event handling, which are only available in the Commercial edition, as shown in the feature comparison table.
The Community Edition is deployed only in N. Virginia (us-east-1) as the main deployment region, limiting flexibility for teams operating in other AWS regions.
Default handling of Spot rebalancing recommendations in the Community Edition leads to increased instance churn, which can impact application stability, as noted in the comparison table.