Heap

“I wish we would have had this thing five years ago. We would have saved a lot of money and a lot of stress”. 

Dan Robinson
CTO

“Zesty automatically scales reservations up and down according to usage so we get all the savings with none of the commitment.”

Dan Robinson
CTO

“Using Zesty, we were able to significantly reduce our EC2 spend, which was pretty transformative for our business”.

Dan Robinson
CTO

“Zesty saves us over a million dollars a year. If you’re running a workload on EC2, it’s pretty much free money”. 

Dan Robinson
CTO

Customer
Brief

Heap is a SaaS company the offers a product analytics software that provides insight into the user’s digital journey across company websites and apps. The  digital analytics software provides the quickest time to insight on everything users are doing, to enable product and marketing teams to create the best possible digital experiences and accelerate their business. Based in San Francisco, Heap has a user-base of over 8,000 companies around the world.

map heap

Key
Challenges

With new services released every month, Heap’s dynamic workloads made it risky to fully take advantage of 1-3 year commitments.

Key
Results

After implementing Zesty, Heap achieved 95% RI coverage and saved over $1 million within the first year. 

The Challenge:

Too much planning, too little savings

Heap’s digital analytics software is built on AWS and utilizes hundreds of EC2 instances, adding up to millions of dollars per year. Prior to implementing Zesty, they were purchasing Reserved Instances from AWS, but because they released new services every month, their workloads are extremely dynamic. This made committing to AWS for one to three years in advance extremely risky. 

With each new feature release, Heap’s engineers invested in forecasting and planning their reservations in advance. This took a lot of time, yet, despite all these efforts, they were only able to achieve 50% RI coverage because their workloads were too volatile. This resulted in On-Demand costs that were extremely high and hard to account for. 

Zesty’s Solution:

Automated RI savings that match changing workload demand

Zesty was the answer to Heap’s difficulties.

Implementing Zesty was simple and only took a couple minutes to set up with a CloudFormation stack. Once setup was complete, Zesty automatically scaled Heap’s reservations up and down according to their real-time usage so they could take advantage of all the savings of three year Reserved Instances with none of the commitment to AWS. 

Zesty’s buyback guarantee meant there’s zero risk of paying for commitments that are not being used. Within minutes of setting up, Heap was able to automate, save, and scale with zero risk, zero planning, and zero predictions. 

Heap case study

The Result:

 95% RI Coverage and $1 Million in Savings

With Zesty, Heap now has a 95% reservation coverage on their EC2 workloads. As a result, they save over $1 million dollars per year. Heap gets all the cost savings of three year Reserved Instances for their entire workload with none of the lock-in and none of the upfront payment.

Best of all, with the extra million dollars, Heap can hire four to five more engineers to develop their product. Today, Heap’s engineers no longer have to do the intense actuary work behind forecasting or planning reservations. Instead, RI provisioning is completely automated, highly responsive, and able to adjust to changes in workloads within minutes. Zesty has enabled their engineers to work on projects that create more value for Heap’s client-base and because Zesty only charges a portion of what Heap was saving, the value was indisputable.

map heap
Heap

Customer
Brief

Heap is a SaaS company the offers a product analytics software that provides insight into the user’s digital journey across company websites and apps. The digital analytics software provides the quickest time to insight on everything users are doing, to enable product and marketing teams to create the best possible digital experiences and accelerate their business. Based in San Francisco, Heap has a user-base of over 8,000 companies around the world.

Key
Challenges

With new services released every month, Heap’s dynamic workloads made it risky to fully take advantage of 1-3 year commitments.

Key
Results

After implementing Zesty, Heap achieved 95% RI coverage and saved over $1 million within the first year.

“I wish we would have had this thing five years ago. We would have saved a lot of money and a lot of stress”.

Dan Robinson
CTO

The Challenge:

Too much planning, too little savings

Heap’s digital analytics software is built on AWS and utilizes hundreds of EC2 instances, adding up to millions of dollars per year. Prior to implementing Zesty, they were purchasing Reserved Instances from AWS, but because they released new services every month, their workloads are extremely dynamic. This made committing to AWS for one to three years in advance extremely risky.

With each new feature release, Heap’s engineers invested in forecasting and planning their reservations in advance. This took a lot of time, yet, despite all these efforts, they were only able to achieve 50% RI coverage because their workloads were too volatile. This resulted in On-Demand costs that were extremely high and hard to account for.

“Using Zesty, we were able to significantly reduce our EC2 spend, which was pretty transformative for our business”

Dan Robinson
CTO
Zesty’s Solution:

Automated RI savings that match changing workload demand

Zesty was the answer to Heap’s difficulties.

Implementing Zesty was simple and only took a couple minutes to set up with a CloudFormation stack. Once setup was complete, Zesty automatically scaled Heap’s reservations up and down according to their real-time usage so they could take advantage of all the savings of three year Reserved Instances with none of the commitment to AWS.

Zesty’s buyback guarantee meant there’s zero risk of paying for commitments that are not being used. Within minutes of setting up, Heap was able to automate, save, and scale with zero risk, zero planning, and zero predictions.

Heap case study
The Result:

95% RI Coverage and $1 Million in Savings

With Zesty, Heap now has a 95% reservation coverage on their EC2 workloads. As a result, they save over $1 million dollars per year. Heap gets all the cost savings of three year Reserved Instances for their entire workload with none of the lock-in and none of the upfront payment.

Best of all, with the extra million dollars, Heap can hire four to five more engineers to develop their product. Today, Heap’s engineers no longer have to do the intense actuary work behind forecasting or planning reservations. Instead, RI provisioning is completely automated, highly responsive, and able to adjust to changes in workloads within minutes. Zesty has enabled their engineers to work on projects that create more value for Heap’s client-base and because Zesty only charges a portion of what Heap was saving, the value was indisputable.

“Zesty saves us over a million dollars a year. If you’re running a workload on EC2, it’s pretty much free money”

Dan Robinson
CTO
Additional Case Studies

“The impact of Zesty on our AWS bill was immediate”

Nadav Svirsky
Corporate IT Team Lead

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“I no longer need to worry about managing EBS volumes, that’s Zesty’s job now”

Artiom Levinton
Head of DevOps

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“It’s completely hands-free and we save 40% each month on our On-Demand costs”

Yair Leshem
DevOps Engineer

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