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Autonomous Workload Optimization: Intel® Tiber™ App-Level OptimizationReduce infrastructure costs and boost application performance with Intel® Tiber™ App-Level Optimization's Autonomous Continuous Workload OptimizationAutonomous Workload Optimization: Intel® Tiber™ App-Level Optimization Sustainability Intel® Granulate is now Intel® Tiber™ App-Level Optimization Products Runtime optimization Automatically optimize application workloads for improved performance and cost reduction Capacity optimization Reduce costs with orchestration and capacity management Continuous profiling Open source profiler to identify code bottlenecks Solutions Cloud Optimization Kubernetes & Containers Optimization Big Data Optimization Big Data Optimization Databricks Cloudera Spark & PySpark Hadoop HDInsight EMR AI Optimization Company About Careers In the News Partners Intel Software Customers Resources Learning center Blog Datasheets Webinars Optimization guides AWS EKS Cloudera Application Performance Monitoring Cloud Cost Management Cloud Optimization Basics AWS Cost Optimization Azure Cost Optimization Google Cloud Cost Optimization Kubernetes Performance Optimization Kubernetes Cost Management Kubernetes Architecture Introduction to AWS EMR Introduction to Apache Spark Introduction to PySpark Introduction to Hadoop Python Performance Optimization Java Performance Optimization Golang Performance optimization ElasticSearch Databricks Optimization Data Center Costs Pricing Request A Demo Products Runtime optimization Automatically optimize application workloads for improved performance and cost reduction Capacity optimization Reduce costs with orchestration and capacity management Continuous profiling Open source profiler to identify code bottlenecks Solutions Cloud Optimization Kubernetes & Containers Optimization Big Data Optimization Big Data Optimization Databricks Cloudera Spark & PySpark Hadoop HDInsight EMR AI Optimization Company About Careers In the News Partners Intel Software Customers Resources Learning center AWS EKS Cloudera Application Performance Monitoring Cloud Cost Management Cloud Optimization Basics AWS Cost Optimization Azure Cost Optimization Google Cloud Cost Optimization Kubernetes Performance Optimization Kubernetes Cost Management Kubernetes Architecture Introduction to AWS EMR Introduction to Apache Spark Introduction to PySpark Introduction to Hadoop Python Performance Optimization Java Performance Optimization Golang Performance optimization ElasticSearch Databricks Optimization Data Center Costs Blog Datasheets Webinars Optimization guides Pricing Request A Demo 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: 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? 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. 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 Blog $12M Raised to Improve Workload Performance and Reduce Infrastructure Costs Joining forces with Insight Partners on our Series A which we will leverage to expand to new markets, reach more organizations and grow our incredible team. Blog 3 Ways to Improve Your Python Application Performance Using Continuous Profiling Profiling identifies the piece of code that is creating problems, the duration of a certain job, the frequency with which a line of code is being called, its source, and the time spent executing the code at any given moment. This article will illustrate the concept of continuous profiling and showcase different tools to execute it for Python-based applications. Blog 8 Cloud Cost Optimization Best Practices and Why You Need Them What Is Cloud Cost Optimization?  Cloud cost optimization is the practice of selecting and allocating the appropriate cloud resources for your application or workload. You achieve efficiency when you balance workload performance, cost, and compliance by optimizing infrastructure in real time. According to research from Hashicorp, over a third of organizations surveyed have an annual […] Blog 5 Effective Strategies for AWS Kubernetes Cost Reduction Kubernetes is an open-source platform designed to automate deploying, scaling, and managing containerized applications. It groups containers that make up an application into logical units for easy management and discovery. Because of this, it’s a great way to build an automated infrastructure that supports application reliability while improving development speed.  In fact, this is such […] Go to the core of your application Start Now Request A Demo Products Runtime Optimization Capacity Optimization Continuous Profiling Solutions Cloudera Optimization Company About Pricing Contact us Resources Blog Datasheets Webinars More on Granulate Customers News Security Value Assessment Intel Software © 2024. 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