Big savings, little effort

With Flexsave, get simplified, automated savings of your public cloud compute spend for optimized cost and agility.

Trusted by thousands of digital natives worldwide

 

Using machine learning, Flexsave continuously monitors your cloud usage to identify compute instances that are not covered by existing commitments, then applies 1-year discount rates on applicable workloads.

Learn how digital advertiser Taboola has leveraged the automated management provided by Flexsave to ensure optimized rates for their on-demand cloud compute workloads, while eliminating the time-consuming process of evaluating and adjusting their discount programs every month.
COST OPTIMIZATION MANAGEMENT
Managing a portfolio of commitments is a perpetual and expensive challenge. It often requires a dedicated team to monitor usage, track expiration and renewal dates, and modify instances or commitments when possible. Flexsave eases this burden with automated management of compute commitments and increased flexibility, allowing you to focus on product and business development.

Thanks to Flexsave, NiceHash gets 80%+ compute discount coverage without using any of their limited resources on managing or tracking commitments.
[Read the customer story]

COMMITMENT RISK REDUCTION
Committing to specific usage requires highly accurate long-term forecasting, and repercussions if those forecasts are inaccurate. Overprovision and you’ll waste money on unused reservations; underprovision and you’ll miss out on potential savings. But Flexsave removes the risk of long-term compute commitments by providing the flexibility of on-demand usage while preserving your optimized pricing.
Flexsave allows Dataloop to get optimized pricing without long-term forecasting, and has protected them from incurring any more underutilization penalties.
[Read the customer story]
COST OPTIMIZATION
MANAGEMENT
Managing a portfolio of commitments is a perpetual and expensive challenge. It often requires a dedicated team to monitor usage, track expiration and renewal dates, and modify instances or commitments when possible. Flexsave eases this burden with automated management of compute commitments and increased flexibility, allowing you to focus on product and business development.

Thanks to Flexsave, NiceHash gets 80%+ compute discount coverage without using any of their limited resources on managing or tracking commitments.
[Read the customer story]

COMMITMENT RISK
REDUCTION
Committing to specific usage requires highly accurate long-term forecasting, and repercussions if those forecasts are inaccurate. Overprovision and you’ll waste money on unused reservations; underprovision and you’ll miss out on potential savings. But Flexsave removes the risk of long-term compute commitments by providing the flexibility of on-demand usage while preserving your optimized pricing.
Flexsave allows Dataloop to get optimized pricing without long-term forecasting, and has protected them from incurring any more underutilization penalties.
[Read the customer story]

How it works

Flexsave continuously analyzes which workloads are not covered by compute commitments and increases that coverage with automation — saving you money across more of your infrastructure.

How it works

Flexsave continuously analyzes which workloads are not covered by compute commitments and increases that coverage with automation — saving you money across more of your infrastructure.

"Flexsave gives us the savings benefits of compute commitments without requiring anything of my limited DevOps resources. As a result, we can devote our full attention toward building the best product for our customers."

Elad Ben-Tzedeff

VP of Research & Development

Why Flexsave?

zero compute commitments

Zero compute commitments

Get compute savings without the need for purchase commitments

zero additional cost

Zero
additional costs

No hidden fees or upfront purchases, and guaranteed savings on all covered workloads

zero effort management

Zero-effort
management

No more manual monitoring of commitments or need to predict future workload needs

Savings that stand out

0 %
reduction
in compute spend
1 %
reduction of
infrastructure costs
0 %
reduction in overall
compute costs

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