Elastic Application Performance Monitoring: The Basics and a Quick Tutorial
Elastic Application Performance Monitoring is a solution that helps developers and IT operations teams monitor and optimize the performance of applications.
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Intel Granulate blogs
Apache Spark Architecture Simplified
Apache Spark’s architecture handles large-scale data processing. It uses a central coordinator known as the Spark Driver and distributed...
Application Optimization: 3 Pillars and 8 Ways to Optimize Your Apps
Optimize application performance using processes and techniques to enhance software efficiency and speed.
PySpark vs. Spark: 7 Key Differences and How to Choose
Apache Spark is a unified engine for large-scale data processing. PySpark is its Python API, allowing Python programmers to leverage Spark's...
Hadoop Cluster: Architecture, Pros/Cons, and a Quick Tutorial
A Hadoop cluster is a group of machines used for storing and analyzing unstructured data in a distributed environment.
Ultimate Guide to AWS EMR: Use Cases, How It Works, Pricing and More
AWS EMR processes data across a Hadoop cluster of virtual servers on Amazon Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2)
Understanding AWS EKS: Features, Deployment, Pricing, and Pro Tips
AWS EKS is a managed container service that allows users to run Kubernetes on AWS without the need to install their own Kubernetes control plane...
EKS Cluster: The Basics and Creating Your First Cluster
AWS Elastic Kubernetes Service (EKS) is a managed container service to run and scale Kubernetes applications on the AWS cloud or on-premises.
Data Center Capacity Planning: Tech, Tools, and Best Practices
Data center capacity planning involves preparing an IT organization’s infrastructure resources, hardware, and software to meet current and...
Cloudera Manager: Features, Components, and How to Get Started
Cloudera Manager is an administration tool for Apache Hadoop, offering enterprises a centralized platform to manage their Hadoop services.