Savings recommendations maximize your cloud efficiency

Anodot’s data-driven insights and easy-to-action savings recommendations help you reduce cloud costs by optimizing how you use and purchase AWS, Azure, and GCP

Continuously optimize your cloud infrastructure and eliminate waste

With Anodot’s personalized recommendations, you’ll always know your next best move. Rightsize your infrastructure, analyze and tune your commitments, and discover and eliminate cloud waste in near real time.

Anodot helps FinOps teams prioritize recommendations by justifying their impact with a projected performance and savings impact. After a recommendation is approved for implementation, engineers have clear CLI and console instructions they can follow remediation, and can verify the impact of their actions the way they prefer: using the cloud provider-native interface.

Pinpoint multicloud resource waste

Companies often overestimate how much of their cloud spend is wasted. Since cloud providers charge for the services you provision, not the ones you consume, you must be able to identify and manage cloud resource waste.

With Anodot, you can continuously identify
and remediate all types of cloud waste, including:

  • Idle resources
  • Unattached IPs
  • Orphaned volumes
  • Inefficient containerization
  • Underutilized databases
  • Outdated snapshots
  • Unnecessary data transfer
  • Instances that use legacy resource types

Rightsize cloud resources intelligently

An important ongoing step in FinOps is to rightsize your resources. Overprovisioning leads to unused capacity, which in turn leads to increased costs and cloud waste. In contrast, underprovisioning resources can negatively impact your application performance, leading to poor customer experiences.

With Anodot, you can make informed tradeoffs and rightsize your compute and storage resources across AWS, GCP, and Azure for maximum savings. When rightsizing, Anodot always sets the value at or above the maximum historical utilization, so performance will not be at risk.

Make the right commitments

Commitment-based discounts such as Savings Plans (SPs), Reserved Instances (RIs), and Committed Use Discounts (CUDs) are the most popular rate optimizations that cloud service providers offer — delivering as much as 50-70% cost savings when compared On-Demand instances.

Anodot helps you make smart committed use purchases using personalized recommendations based on your historical and forecasted usage. Anodot generates these recommendations by analyzing all your incurred usage eligible to be covered by a SP/RI, and uses proprietary algorithms to simulate possible combinations of RIs that would cover that usage.

Manage cost-saving recommendations

Recommendations from FinOps tools are just recommendations — don’t immediately act on all of them. Rather, use them to have meaningful conversations with relevant teams and determine whether they are appropriate for your specific use case.

Anodot helps FinOps teams prioritize recommendations based on impact, and it keeps a complete history of recommendations and actions taken. You can visualize the impact of every change before and after it has been implemented. You can tune recommendations based on organizational preferences, snooze them, or reject them outright.

Which services do Anodot recommendations target?

Which AWS services do Anodot's recommendations cover?

  • EC2
  • S3
  • Elastisearch
  • DocumentDB
  • KMS
  • RDS
  • EBS
  • OpenSearch
  • VPC
  • DynamoDB
  • Redshift
  • NAT Gateway
  • Kinesis
  • Load Balancer
  • Neptune
  • Elasticache
  • CloudTrail
  • Savings Plan Commitment
  • RI Commitments

Which Azure services are covered by Anodot's recommendations?

  • Disk
  • VM
  • MySQL
  • SQL Data Warehouse
  • PostgreSQL
  • Cosmos DB
  • Maria DB
  • Load Balancer
  • Snapshots
  • Data Explorer
  • Redis
  • Kusto
  • RI Commitments
  • App-Service

What about GCP?

Anodot provides recommendations for these GCP services:

  • VM
  • Disk
  • CUD Commitment
  • IP

Do you know what cloud savings action to take next?

The increasing complexity of multicloud services makes it difficult to manage and optimize your infrastructure. FinOps and Cloud Center of Excellence (CCoE) teams want to reduce cloud costs but don’t know where to start, or what to do next.

As you progress along your FinOps journey, you’ll face multiple competing initiatives. It can be challenging to prioritize cost optimization recommendations and make sure the right decisions are being made. Identifying the engineering efforts and potential savings can help your team in determining its priorities.

Evaluate your cloud rate optimization efforts

Finance stakeholders have a very difficult time getting engineers to take action and even harder time improving their overall effective cloud savings rate.

To determine if you have a strong foundation for optimizing your efforts, consider the following questions:

  1. Can you identify idle or unattached cloud resources?
  2. Can you track cloud waste trends over time?
  3. How do you evaluate and implement recommendations?
  4. Are recommendations passed “over the fence” to engineering?
  5. Do you review recommendations with stakeholders who understand the applications and architecture?
  6. Are you able to track the impact of implemented recommendations?
  7. If a recommendation can not be acted on, can you mute it for an agreed period of time to cut out noise?
  8. Do you continuously evaluate the impact of new releases/updates from cloud providers?
  9. Can you identify unused commitment-based discounts with daily resolution?
  10. Do you know when commitment utilization declines, stops being used, or needs attention when it deviates from the norm?
  11. Are stakeholder teams notified early enough about expiring commitments to plan new purchases?

Take the next step

Schedule a discovery meeting to see how Anodot cloud cost management can ensure your FinOps success.