Tag: performance
-
gRPC vs HTTP
gRPC (gRPC Remote Procedure Calls) and HTTP (Hypertext Transfer Protocol) are both fundamental protocols used for communication between applications, but they differ significantly in their design, features, and typical use cases. Here’s a comprehensive comparison: gRPC HTTP Key Differences Summarized: Feature gRPC HTTP Protocol RPC framework over HTTP/2 Application protocol (various versions) Data Format Primarily Read more
-
Databricks scalability
Databricks is designed with scalability as a core tenet, allowing users to handle massive amounts of data and complex analytical workloads. Its scalability stems from several key architectural components and features: 1. Apache Spark as the Underlying Engine: 2. Decoupled Storage and Compute: 3. Elastic Compute Clusters: 4. Auto Scaling: 5. Serverless Options: 6. Optimized Read more
-
Inner workings of Apache Spark
Here’s a breakdown of key internal aspects of the inner workings of Apache Spark. : 1. Architecture: 2. Execution Model: 3. Data Partitioning: 4. Shuffle Operations: 5. Memory Management: In essence, Spark’s internal workings involve: Understanding these internal mechanisms is key to writing efficient and scalable Spark applications. Read more
-
Workflow of MLOps
The workflow of MLOps is an iterative and cyclical process that encompasses the entire lifecycle of a machine learning model, from initial ideation to ongoing monitoring and maintenance in production. While specific implementations can vary, here’s a common and comprehensive workflow: Phase 1: Business Understanding & Problem Definition Phase 2: Data Engineering & Preparation Phase Read more