Package.AI Optimizes AWS Infrastructure with Zesty’s Automated Reserved Instance Management
We were looking for a no-touch solution that would manage our commitments in the most efficient way possible.
Managing commitments manually slowly became an operational burden, and overall wasn’t as effective as Zesty’s engine.
Zesty is a full-suite solution that covers everything related to cost optimization of EC2 AWS infrastructure with a user-friendly dashboard and a great customer-oriented service.
After realizing Zesty’s unique success-based business model, accompanied by a buy-back guarantee, it was a no-brainer for us.
Customer
Brief
Package.AI is a customer interaction and logistics automation platform that manages and optimizes last-mile fleet operations for B2B and B2C businesses. Empowered by advanced AI models, Package.AI enables businesses to autonomously interact with their customers, maximizing customer satisfaction while reducing overall operational costs.
By leveraging Package.AI’s service, businesses can offer their customers more choice, control, transparency, and responsiveness while keeping operational efficiency in check.
Key
Challenges
Frequent capacity changes made it impossible for Package.ai to forecast commitments, resulting in high compute costs by running On-Demand
Key
Results
Package.ai achieved a 95% increase in RI coverage, reducing EC2 costs by 42%.
The Challenge:
With a rapidly growing customer base and accelerated product development, Package.AI turned to AWS for an elastic cloud compute infrastructure that enables quick and easy scaling to meet the continuous rise in demand.
As a startup with a cost-efficient mindset, Package.AI began their AWS journey by using EC2 Reserved Instances (aka RIs), in order to reduce their compute costs. However, their irregular demand rates made scaling up or down with RIs quite challenging. Their engineering team realized that constantly managing an RI fleet manually while also delivering a solid user experience and new product features was simply not feasible.
The main challenge Package.AI faced while managing their commitments, was the fact that they needed to react in Real-Time to their capacity changes, and doing that manually without reliable predictions rapidly became a technical and operational nightmare.
Zesty’s Solution:
In order to move engineering resources from cost optimization to product development, Package.AI began researching a cost optimization platform which would fit their growing operational requirements.
Package.AI came across several cost optimization solutions which delivered great insights on cloud spending, but required continuous manual actions.
Eventually, Package.AI partnered with Zesty to tackle their automation challenges. Zesty provided Package.AI with an automated cost optimization platform, which leverages AI models to analyze its entire EC2 deployment in real-time.
It then automatically buys and sells RIs via the RI marketplace according to real-time capacity changes. This proactive and automated approach made their decision easy. Package.AI implemented Zesty shortly after the initial demo and they were onboarded in less than 15 minutes!
The Result:
Besides freeing their engineering team from manual cost optimization, Package.AI was able to achieve massive ROI since implementing Zesty:
- 95% increase in RI coverage: Within days of implementation, Package.AI witnessed a steady increase in the percentage of their infrastructure covered with savings and eventually reached the holy grail of over 95% RI coverage.
- 42% more savings with zero engineering efforts: Using Zesty’s AI engine, Package.AI was able to leverage the most lucrative marketplace discounts available with zero manual effort.
- 100% utilization while supporting all scaling scenarios: Due to its fast automatic operations, Zesty was able to support all scaling scenarios with perfect utilization, eliminating the pain of over-provisioning and the operational risk of under-provisioning
Customer
Brief
Package.AI is a customer interaction and logistics automation platform that manages and optimizes last-mile fleet operations for B2B and B2C businesses. Empowered by advanced AI models, Package.AI enables businesses to autonomously interact with their customers, maximizing customer satisfaction while reducing overall operational costs.
By leveraging Package.AI’s service, businesses can offer their customers more choice, control, transparency, and responsiveness while keeping operational efficiency in check.
Key
Challenges
Frequent capacity changes made it impossible for Package.ai to forecast commitments, resulting in high compute costs by running On-Demand
Key
Results
Package.ai achieved a 95% increase in RI coverage, reducing EC2 costs by 42%.
We were looking for a no-touch solution that would manage our commitments in the most efficient way possible.
With a rapidly growing customer base and accelerated product development, Package.AI turned to AWS for an elastic cloud compute infrastructure that enables quick and easy scaling to meet the continuous rise in demand.
As a startup with a cost-efficient mindset, Package.AI began their AWS journey by using EC2 Reserved Instances (aka RIs), in order to reduce their compute costs. However, their irregular demand rates made scaling up or down with RIs quite challenging. Their engineering team realized that constantly managing an RI fleet manually while also delivering a solid user experience and new product features was simply not feasible.
The main challenge Package.AI faced while managing their commitments, was the fact that they needed to react in Real-Time to their capacity changes, and doing that manually without reliable predictions rapidly became a technical and operational nightmare.
Managing commitments manually slowly became an operational burden, and overall wasn’t as effective as Zesty’s engine.
In order to move engineering resources from cost optimization to product development, Package.AI began researching a cost optimization platform which would fit their growing operational requirements.
Package.AI came across several cost optimization solutions which delivered great insights on cloud spending, but required continuous manual actions.
Eventually, Package.AI partnered with Zesty to tackle their automation challenges. Zesty provided Package.AI with an automated cost optimization platform, which leverages AI models to analyze its entire EC2 deployment in real-time.
It then automatically buys and sells RIs via the RI marketplace according to real-time capacity changes. This proactive and automated approach made their decision easy. Package.AI implemented Zesty shortly after the initial demo and they were onboarded in less than 15 minutes!
Besides freeing their engineering team from manual cost optimization, Package.AI was able to achieve massive ROI since implementing Zesty:
- 95% increase in RI coverage: Within days of implementation, Package.AI witnessed a steady increase in the percentage of their infrastructure covered with savings and eventually reached the holy grail of over 95% RI coverage.
- 42% more savings with zero engineering efforts: Using Zesty’s AI engine, Package.AI was able to leverage the most lucrative marketplace discounts available with zero manual effort.
- 100% utilization while supporting all scaling scenarios: Due to its fast automatic operations, Zesty was able to support all scaling scenarios with perfect utilization, eliminating the pain of over-provisioning and the operational risk of under-provisioning
Zesty is a full-suite solution that covers everything related to cost optimization of EC2 AWS infrastructure with a user-friendly dashboard and a great customer-oriented service.
“We chose Zesty because of the significant savings that we could achieve with absolutely minimal effort involved.”
David Ting
Senior VP of Engineering
“Yes, Zesty reduces the workload as well, but it’s the cost reduction that makes it all worth it.”
Nadav Izraely
Senior Director Platform Delivery
“Our cloud ROI has greatly improved since using Zesty and these improvements could not be achieved through our efforts alone.”
Yonatan Deshel
CTO
