Sustainability
Caleb Geene

Sr. Manager,Site Reliability Engineering

You’re in good company

“App-Level Optimization went above and beyond, achieving 58% average reduction in response time. It never occurred to us that we might improve performance so much that reducing cost was an option. But we were able to leverage these results into a cost reduction of 35%!”

Caleb Geene

Sr. Manager,Site Reliability Engineering

Our customers

Our customers

Trusted by leading brands

Find out why companies around the world are using Intel Tiber App-Level Optimization

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Intel IT Experiences 17% Increase in Databricks Throughput with Intel® Granulate™
23 %
REDUCTION IN VCORE UTILIZATION
17 %
DATA THROUGHPUT IMPROVEMENT
97
SECURITY SCORE
0
CODE CHANGES
  • Big Data
  • Spark
  • Databricks
Insight Reduces Databricks Costs
by 28% with Intel® Granulate™
28 %
COST REDUCTION
20 %
REDUCTION IN DBUs
0
IMPACT ON SLA
  • Azure
  • Databricks
Drift Reduces EKS Costs by 15% with Intel Granulate Capacity Optimization
15 %
COST REDUCTION
20 %
NODE COUNT IMPROVEMENT
0
ENGINEERING EFFORTS
  • Java
  • AWS
  • Kubernetes
Snap Inc Achieves 13% Average Cost Reduction on EKS Workloads With Intel Granulate
350 K
vCORES OPTIMIZED
13 %
AVERAGE COST REDUCTION
21 %
AVERAGE CPU UTILIZATION IMPROVEMENT
15
DAYS TIME TO VALUE
  • AWS
  • Java
  • Kubernetes
  • Go
Intel IT Reduces CPU Utilization on Cloudera by 44% With Intel Granulate
44 %
REDUCTION IN CPU UTILIZATION
25 %
MEMORY REDUCTION
1000 +
UNIQUE JOBS OPTIMIZED
1
WEEK TO RESULTS
  • Spark
  • Cloudera
  • Big Data
ShareChat Reduces Kubernetes Costs by 20% with Granulate
25 %
RESPONSE TIME REDUCTION
20 %
REDUCTION IN COMPUTE COSTS
25 %
REDUCTION IN CPU UTILIZATION
0
CODE CHANGES
  • Java
  • GCP
  • Node.js
  • Kubernetes
ironSource Reduces Instance Count by 21%
with Intel® Granulate™
25 %
REDUCED CLOUD COSTS
21 %
REDUCED INSTANCE COUNT
29 %
INCREASE IN THROUGHPUT
2
WEEKS TO RESULTS
  • Node.js
  • Kubernetes
  • AWS
Securonix Cuts AWS Costs With Intel Tiber App-Level Optimization
33 %
REDUCTION IN CAPACITY
45
CLUSTERS OPTIMIZED
100 %
EMR FLEET OPTIMIZED
0
CODE CHANGES
  • Big Data
  • AWS
  • Spark
Claroty Reduces EKS Spark Memory Usage by 50% with Granulate
50 %
REDUCTION IN MEMORY USAGE
20 %
REDUCTION IN COSTS
18 %
REDUCTION IN NODE COUNT
15 %
CPU UTILIZATION IMPROVEMENT
  • AWS
  • Big Data
  • Python
  • Kubernetes
  • Spark
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"In less than a week, (App-Level Optimization) was able to improve our CPU utilization by 26% that ultimately led to more than 17% cost reduction on EC2. We liked that Intel Tiber App-Level Optimization did not require any additional engineering efforts or resources. As we can continue to grow, we are looking forward to using granulate for further optimization of our resources and cost."

Zhibek Elemanova

Sr. Operations Engineer

"After implementing (App-Level Optimization), we saw 50% memory reduction and 20% CPU reduction, which eventually translated to an 18% cost reduction as well. Looking into the future, we started with just optimizing one app. We started with one cluster on one region and then went on to install it on all the different regions. Looking forward, we’re going to install (App-Level Optimization) on the other apps that we have."

Uri Harduf

DevOps Group Manager

"At first, we deployed (App-Level Optimization)’s agent on one of our heaviest server - the machine learning server. After one week, we saw 20% decrease in instances count within the same latency. Results were immediate with one day of DevOps hours. So with Intel Tiber App-Level Optimization we were able to achieve substantial cost reduction across our entire online ad serving stack with in 2 weeks of deployment."

Gil Shoshan

Sr. Software Developer

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