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.
Generative AI Development with Podman AI Lab, InstructLab, and OpenShift AI
Explore open-source tools for generative AI development: Podman AI Lab for building and serving LLM apps, InstructLab for local model fine-tuning, and OpenShift AI for operationalizing AI on clusters.
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.
Cloud Kafka Resiliency and Fault Tolerance for Data Streaming Systems
Manage cloud volatility, configure Kafka clients for resilience, and explore error handling in Kafka Streams. Learn idempotent operations and exactly-once processing for robust data streaming applications.
How Curing "Kafkatosis" Can Improve Your Stream Management and Governance
Learn to recognize and overcome "Kafkatosis" in Kafka environments. Discover strategies to optimize stream management, improve application onboarding, and enhance operational efficiency in diverse cloud and on-prem setups.
Operationalizing Pluralsight's Data with Materialize
Discover how Pluralsight leverages Materialize to replace complex streaming systems, enabling real-time analytics and applications through SQL-based materialized views for faster, cost-effective data operations.
Boosting Kafka Performance with JVM Optimization
Optimize Kafka performance by leveraging Azul Prime JVM. Reduce latency by 40%, improve SLAs, and lower infrastructure costs through efficient JVM utilization.
From Edge to Cloud: Creating Data Pipelines Using Open-source with Strimzi on Kubernetes
Learn to create data pipelines from edge to cloud using open-source Strimzi on Kubernetes, enabling real-time data streaming across your organization.
Accelerating Path to Production for Generative AI-powered Applications
Leverage large language models and real-time data to build intelligent applications with improved accuracy using Retrieval Augmented Generation. Explore AI-driven experiences and vector search capabilities.
Squeezing the Most From Your Kafka Infrastructure
Explore challenges and clever solutions for expanding Kafka infrastructure. Learn to optimize resources, streamline pipelines, and refocus on core business objectives as your system grows.
Introducing Oxia: A Scalable Zookeeper Alternative for Event Streaming Platforms
Explore Oxia, a scalable metadata framework for distributed messaging systems. Learn how it simplifies event streaming architectures and handles millions of topics without ZooKeeper's complexities.
How to Use Streaming Joins with Apache Flink
Explore streaming joins in Apache Flink®, covering stateless, materializing, and temporal operations. Learn through demos on updating, appending, and versioned table joins for effective data combination.