Sustainability

Continuously & Securely Optimize Cloudera Workloads in Real-Time

Improve application performance for reduced costs and increased throughput on CDP with no code changes required.

Cut costs by up to 30%

Improve application performance, and reduce operational cost through dynamic runtime resource optimizations
44%
Reduction in CPU Utilization
25%
Memory Reduction
0
Code Changes

Why Intel Tiber App-Level Optimization?

Run more jobs more efficiently and minimize licenses by optimizing the capacity of Cloudera workloads autonomously.
Efficient capacity management

Lower capacity and cost through dynamic resource allocation.

Autonomous and continuous optimization

No more manual monitoring and tuning by data engineering teams.

Real-time performance improvement

Faster processing within days of activation – no ongoing maintenance required.

Cut licensing costs

Reduce the resources needed to complete data jobs.

Secure and reliable

Held to the high security standards of Intel and SOC2 certified.

Seamless migrations

Avoid high compute costs post-migration and reduce waste.

Intel IT Reduces CPU Utilization on Cloudera by 44% With Intel Tiber App-Level Optimization

  • 44%
    Reduction In CPU Utilization
  • 25%
    Memory Reduction
  • 1000+
    Unique Jobs Optimized
  • 1
    Week to results
See the full report here
  • 44%
    Reduction In CPU Utilization
  • 25%
    Memory Reduction
  • 1000+
    Unique Jobs Optimized
  • 1
    Week to results

Where does it work?

  • 01. On-Prem
  • 02. Hybrid & multi-cloud
  • 03. Lift & shift

01. On-Prem

01. On-Prem

Optimizes highly secure infrastructures ideal for healthcare, financial and public sectors.

02. Hybrid & multi-cloud

02. Hybrid & multi-cloud

Delivers value on all major CSPs; bare-metal, VMs, containerized or any combination thereof, all in one platform.

03. Lift & shift

03. Lift & shift

Ideal for waste-free migrations to all major data platforms on the cloud, including Databricks, EMR, Dataproc, HDInsight and more.

How does it work?

Autonomous Runtime Optimization

With unique Java optimization capabilities, you can improve your Cloudera infrastructure’s performance, allowing data teams to run more jobs concurrently and increase throughput.

Read more Learn more about Runtime Optimization

Dynamic Resource Allocation

By autonomously tuning big data workloads at scale, you’ll reduce costs for data management, processing, analytics and machine learning workloads.

Read more Learn more about Big Data Optimization
Held to Intel's security standards