Creating and Submitting Java Spark Jobs to Spark Clusters
Create and submit Java Spark jobs to clusters. Learn end-to-end data engineering with Airflow, Docker, Spark, Scala, Python, and Java. Build and process jobs in multiple languages for live results.
Quarkus 3 - Azure Functions
Develop serverless applications using Quarkus 3 and Azure Functions. Learn to leverage cloud-native capabilities for efficient, scalable solutions.
AI-Driven Edge to Core Data Pipelines for Retail
Automate AI/ML model deployment in retail with an opinionated solution for continuous release cycles from edge to core data pipelines.
OpenShift and OpenShift Local - Development and Testing with Kubernetes
Explore OpenShift Container Platform and OpenShift Local for local Kubernetes development. Learn to set up, develop, test, and deploy applications seamlessly.
Distributed Monoliths and Quarkus - Modernizing Legacy Workloads
Modernize legacy distributed monoliths using Quarkus for enhanced performance, streamlined development, and cost-effective cloud-native Java applications.
Cloud-Native App Modernization: Migrating to Kubernetes-Managed Services - Case Studies
Explore strategies for cloud-native app modernization and Kubernetes migration, featuring real-world case studies and practical insights for IT professionals.
Intelligent Applications: Modernizing with AI - The Red Hat Way
Modernize applications by augmenting capabilities with AI, offering a new approach to stack modernization.
Hitchhiker's Guide to Application Connectivity - DevNation Day: MAD
Explore application connectivity options across clouds and edge, with a guide to assess and choose the right approach for your specific needs.
Connect Public and Private Clusters in a Secured Application Layer with Skupper
Aprenda a interconectar clusters Kubernetes remotos y privados mediante una Red de Aplicación Virtual gestionada por Skupper, mejorando la escalabilidad y seguridad de sus servicios.
Breaking Silos with Ansible - Automating Software Infrastructure
Discover how Ansible can unify development and operations, driving holistic automation across software infrastructure for improved efficiency and business value.
API Management as Code: A Declarative Approach to Handling API Artifacts
Explore declarative API management for efficient handling of API artifacts, covering common artifacts, declarative vs imperative approaches, operator patterns, and real-world examples.
What's New in OpenShift 4.14 - Developer Edition
Explore updates in OpenShift 4.14 with Developer Tools PMs, focusing on key enhancements and features for developers.
Red Hat Patterns for Cloud-Native Application Architectures
Explore cloud-native application architecture patterns with Red Hat, focusing on modern application development strategies and best practices for scalable, resilient systems.
Service Resiliency: Bulkheads, Timeouts, Retries, Circuit Breakers, and Fallbacks
Explore service resiliency techniques including bulkheads, timeouts, retries, circuit breakers, and fallbacks to enhance system reliability and fault tolerance.
Fact vs. Delta Event Types in Event Streaming - Module 2
Explore properties, scenarios, and examples of Fact, Delta, and Composite event types. Learn usage recommendations and avoid pitfalls in event design for effective event streaming.
Normalization vs. Denormalization in Event Streaming - Module 4
Explore trade-offs between normalized and denormalized event data models in relational and document databases. Learn strategies for efficient data handling in event streaming systems.
Event Design and Event Streams Best Practices
Explore best practices for event design and streams: schemas, metadata, naming conventions, and unique IDs. Gain insights to optimize your event-driven architecture.
Apache Kafka 3.5 - Core, Connect, Streams, and Client Updates
Explore key updates in Apache Kafka 3.5, including KRaft migration preview, improved error handling, versioned state stores, and enhanced client-side features for better performance and flexibility.
Challenges Using Apache Kafka for Data Streaming Systems
Explore key capabilities of streaming platforms and compare self-managed Apache Kafka with Confluent Cloud's fully-managed services for efficient data streaming operations.
Robust Disaster Recovery with Kafka and Confluent Cloud - Data Streaming Systems
Explore Kafka resilience, mitigate data loss, and implement disaster recovery strategies using Confluent Cloud for robust data streaming systems.
Using GitOps as an Efficient CI/CD Pipeline for Data Streaming
Implement GitOps for efficient CI/CD in data streaming platforms, enhancing operations and traceability with Apache Kafka and Confluent Cloud.