Skill UI

Expert guidance on designing highly scalable, distributed NoSQL databases, specifically covering Apache Cassandra and Amazon DynamoDB. This skill emphasizes the 'Query-First' modeling approach, teaching best practices like partitioning, denormalization, single-table design, and avoiding common anti-patterns (e.g., hot partitions, joins) to ensure optimal read/write performance at massive scale.

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.

Polars is a blazing fast in-memory DataFrame library based on Apache Arrow that replaces pandas for 1-100GB workloads, offering expression-based lazy execution, parallel operators, and rich I/O for ETL pipelines.

TLS 1.3 is the latest Transport Layer Security protocol, offering significant security and performance improvements over TLS 1.2. This guide details how to configure and validate TLS 1.3 on various environments, including Nginx, Apache, and Python applications. It covers advanced topics such as Perfect Forward Secrecy (PFS), HSTS implementation, modern cipher suites, and best practices for securing modern web services.

A comprehensive guide to Test-Driven Development (TDD) for Quarkus 3.x services, focusing on achieving high coverage (80%+). It covers unit testing with Mockito, integration testing of REST endpoints, and advanced testing of event-driven architectures using Apache Camel and RabbitMQ.