Sustainability
Intel® Granulate is now Intel® Tiber™ App-Level Optimization

Optimize performance at the core of your application

Instantly optimize at the app-level
for improved CPU utilization, job completion time, and latency.
Request a demo

Available on:

Available on:

Fast track your optimization to reduce your compute costs

Fast & secure deployment

Enterprise-ready to support your scale, security, and processes in less than 2 weeks

Proactive dynamic optimization

Autonomous and continuous so your environment is constantly operating at
peak performance

No code changes

Deployment requires a
single init script and minimal engineering efforts, ensuring your code stays intact

They got to the core of their applications

Big Data AWS Python
30,000 kg
Annual Carbon Reduction
45 %
Reduced AWS Costs
44.5 %
Faster Job Completion Time
View case study
Java GCP Kubernetes
25 %
RESPONSE TIME REDUCTION
20 %
REDUCTION IN COMPUTE COSTS
25 %
REDUCTION IN CPU UTILIZATION
View case study
AWS Kubernetes
25 %
REDUCED CLOUD COSTS
21 %
REDUCED INSTANCES COUNT
29 %
INCREASE IN THROUGHPUT
View case study
Big Data GCP Spark
15 %
COST REDUCTION
20 %
NODE COUNT IMPROVEMENT
0 %
ENGINEERING EFFORTS
View case study
Python GCP
35 %
Cost Reduction
58 %
Latency Reduction
35 %
Throughput Increase
View case study
Read more success stories

What is App-Level Optimization?

https://granulate.io/wp-content/uploads/2023/09/Frame-1261153348.jpg

Without Intel® Tiber™ App-Level Optimization

stay at the periphery

Other cloud solutions optimize on the periphery of your app but stay clear of improving performance within the app itself.

https://granulate.io/wp-content/uploads/2023/09/Group-1261159302.jpg

With Intel® Tiber™ App-Level Optimization

go to the core of your application

By autonomously optimizing the runtime, your application performance improves at the core, leading to more efficient infrastructure, reduced CPU utilization, and lower compute costs.

Get more at the core of your application

Improve performance

Activate Intel Tiber App-Level Optimization and immediately see improvements for throughput, response time, latency and other performance KPIs to reliably meet your SLAs and offer a stable, resilient and secure application.

Reduce compute costs

When running at peak performance, your application reduces CPU utilization and memory, leading to a minimized carbon footprint and up to 45% cost reduction.

 We’re everywhere you need us

Cloud service providers

Environments

Platforms

Runtimes

How can App-Level Optimization improve your application performance?

  • Cloud
  • On-Prem and Hybrid
  • Kubernetes
  • Big Data
  • Databricks

Cloud

Cloud optimization

See how autonomous cloud optimization is enabling cloud-native businesses to scale their infrastructure with improved performance and lower costs.

DevOps teams are able to reduce costs and improve performance with autonomous optimization.

Learn more
Learn more

On-Prem and Hybrid

On-prem and hybrid optimization

See how autonomous on-prem and hybrid optimization is enabling Enterprise businesses to optimize their applications without compromising security.

Get the best performance, availability, and efficiency from your existing on-premises infrastructure and applications

Learn more
Learn more

Kubernetes

Kubernetes optimization

See how autonomous Kubernetes optimization is enabling containerized environments to lower costs with autonomous, continuous workload and pod rightsizing.

Reduce costs with capacity optimization by continuously orchestrating Kubernetes resources to fit the actual usage

Learn more
Learn more

Big Data

Big Data optimization

See how autonomous Big Data optimization enables data engineering teams to reduce processing time and increase pipeline throughput.

Reduce processing costs and optimize performance to complete more jobs in less time

Learn more
Learn more

Databricks

Databricks optimization

See how autonomous Databricks optimization continuously optimizes large-scale workloads for improved data processing performance and reduced costs.

Continuously adapt resources and runtime environments to application workload patterns to reduce DBUs

Learn more
Learn more

“(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

"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

"In less than a week, Intel Tiber 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 (App-Level Optimization) for further optimization of our resources and cost."

Zhibek Elemanova

Sr. Operations Engineer

"After implementing Intel (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 Intel Tiber App-Level Optimization on the other apps that we have."

Uri Harduf

DevOps Group Manager

Learn more about app-level optimization

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