Due to data privacy regulations, every customer on-boarding the platform receives an isolated OD (On-Demand) EC2 environment, which resulted in ever-growing compute costs.

Liran Ben Abu
Head of DevOps

Before Zesty, we were manually calculating RIs. It took a huge amount of time and effort, and even then, we were not fully covered by savings.

Liran Ben Abu
Head of DevOps

The dashboard is intuitive, provides real-time visibility into our AWS bill, and was super easy to integrate into our environment.

Liran Ben Abu
Head of DevOps

The personal support we received from Maxim (Zesty CEO) and Alexey (Zesty CTO) during the on-boarding was beyond words, and we knew that Zesty was the partner we needed.

Liran Ben Abu
Head of DevOps

Customer
Brief

Voyager Labs is a world leader in AI-driven advanced technologies for human behavior analysis. The company has developed a proprietary AI-based technology that harnesses billions of data points from unstructured data to reveal deep actionable insights.

Their unique technology searches, aggregates and fuses data points and human behavior indicators from multiple data sources, intelligently processing, and analyzing them to provide a holistic view of reality from insights that were previously unattainable.

Their offices are located in Washington DC, New York City, Singapore, Mexico, Spain, India, and Israel.

Key
Challenges

The complexity of forecasting usage and determining the right amount of allocating RI’s, engineers spent significant time designing, planning, and purchasing commitment plans.

Key
Results

Voyager Labs slashed their EC2 costs by over 35% and their engineering team no longer have to manually forecast and plan for capacity changes.

The Challenge:

Manual RI Calculation

Ever since Voyager Labs began its journey with AWS, its cutting edge AI technology progressed, its product portfolio expanded, and they grew tremendously. Nowadays, hundreds of customers leverage Voyager Labs’ advanced analytics capabilities. But with high growth comes more complexity in cloud infrastructure.

In order to manage their large-scale cloud infrastructure, Voyager Labs’ engineers use a cloud management solution that allows them to map their resources, receive right-sizing recommendations, and identify idle and unused resources.

Still, up until the latest version of their product, Voyager Labs’ cloud environments were comprised of thousands of On-Demand EC2 instances, which skyrocketed their AWS bill.

After redesigning their cloud infrastructure, their engineering teams began forecasting compute usage in order to purchase RIs (Reserved Instances) to significantly reduce their EC2 costs.

They came across several challenges when manually purchasing commitments:

  • The complexity of forecasting based on RI characteristics like Standard\Convertible, Cross AZ, Tenancy, and Upfront resulted in engineers spending far too much time designing, planning, and purchasing commitment plans.
  • Purchasing RIs was useful for the baseline of Voyager Labs’ cloud architecture, but once there were compute usage peaks, they were forced to launch new instances to facilitate the demand which were not covered by savings.

Zesty’s Solution:

Automatic Life-cycle management of RI’s

Unlike other cloud management solutions that are dependent on CUR data (which has a 2-3 day data delay), Zesty’s unique technology enabled Voyager Labs to get a real-time overview of their AWS infrastructure in terms of cost and resource allocation.

The Zesty platform enabled the engineering team to maximize its potential savings by constantly purchasing and selling commitment plans. It also eliminated the risk of over-provisioning by guaranteeing a buy-back of any
over-provisioned servers, which was a win-win for the Voyager Labs team.

The onboarding process was short and smooth, with adequate support provided throughout the process to ensure that cost-savings could be realized in the shortest time possible. The dashboard was simple to understand and provided clear metrics on how each of our instances are generating costs and the degree to which they are covered by a discount program.

The Result:

Significant Cost Reduction

After implementing Zesty’s Commitment Manager Voyager Labs was able to slash their EC2 costs by more than 35%.

Besides significantly reducing the costs of their EC2 fleet, Zesty relieved engineering teams from forecasting, planning, and mitigating capacity changes, thanks to its real-time AI engine.

Customer
Brief

Voyager Labs is a world leader in AI-driven advanced technologies for human behavior analysis. The company has developed a proprietary AI-based technology that harnesses billions of data points from unstructured data to reveal deep actionable insights.

Their unique technology searches, aggregates and fuses data points and human behavior indicators from multiple data sources, intelligently processing, and analyzing them to provide a holistic view of reality from insights that were previously unattainable.

Their offices are located in Washington DC, New York City, Singapore, Mexico, Spain, India, and Israel.

Key
Challenges

The complexity of forecasting usage and determining the right amount of allocating RI’s, engineers spent significant time designing, planning, and purchasing commitment plans.

Key
Results

Voyager Labs slashed their EC2 costs by over 35% and their engineering team no longer have to manually forecast and plan for capacity changes.

Due to data privacy regulations, every customer on-boarding the platform receives an isolated OD (On-Demand) EC2 environment, which resulted in ever-growing compute costs.

Liran Ben Abu
Head of DevOps
The Challenge:
Manual RI Calculation

Ever since Voyager Labs began its journey with AWS, its cutting edge AI technology progressed, its product portfolio expanded, and they grew tremendously. Nowadays, hundreds of customers leverage Voyager Labs’ advanced analytics capabilities. But with high growth comes more complexity in cloud infrastructure.

In order to manage their large-scale cloud infrastructure, Voyager Labs’ engineers use a cloud management solution that allows them to map their resources, receive right-sizing recommendations, and identify idle and unused resources.

Still, up until the latest version of their product, Voyager Labs’ cloud environments were comprised of thousands of On-Demand EC2 instances, which skyrocketed their AWS bill.

After redesigning their cloud infrastructure, their engineering teams began forecasting compute usage in order to purchase RIs (Reserved Instances) to significantly reduce their EC2 costs.

They came across several challenges when manually purchasing commitments:

  • The complexity of forecasting based on RI characteristics like Standard\Convertible, Cross AZ, Tenancy, and Upfront resulted in engineers spending far too much time designing, planning, and purchasing commitment plans.
  • Purchasing RIs was useful for the baseline of Voyager Labs’ cloud architecture, but once there were compute usage peaks, they were forced to launch new instances to facilitate the demand which were not covered by savings.

Before Zesty, we were manually calculating RIs. It took a huge amount of time and effort, and even then, we were not fully covered by savings.

Liran Ben Abu
Head of DevOps
Zesty’s Solution:
Automatic Life-cycle management of RI’s

Unlike other cloud management solutions that are dependent on CUR data (which has a 2-3 day data delay), Zesty’s unique technology enabled Voyager Labs to get a real-time overview of their AWS infrastructure in terms of cost and resource allocation.

The Zesty platform enabled the engineering team to maximize its potential savings by constantly purchasing and selling commitment plans. It also eliminated the risk of over-provisioning by guaranteeing a buy-back of any
over-provisioned servers, which was a win-win for the Voyager Labs team.

The onboarding process was short and smooth, with adequate support provided throughout the process to ensure that cost-savings could be realized in the shortest time possible. The dashboard was simple to understand and provided clear metrics on how each of our instances are generating costs and the degree to which they are covered by a discount program.

The Result:
Significant Cost Reduction

After implementing Zesty’s Commitment Manager Voyager Labs was able to slash their EC2 costs by more than 35%.

Besides significantly reducing the costs of their EC2 fleet, Zesty relieved engineering teams from forecasting, planning, and mitigating capacity changes, thanks to its real-time AI engine.

The dashboard is intuitive, provides real-time visibility into our AWS bill, and was super easy to integrate into our environment.

Liran Ben Abu
Head of DevOps
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