
Explore Reactor 3, the reactive engine powering Spring Framework 5's reactive features. Learn to write and test backpressure-ready, resilient reactive applications and APIs using practical examples.

Explore tools for enhancing Spring Cloud architecture, including documentation, operations, and testing solutions. Learn about visualization dashboards and strategies for managing microservices in production environments.

Explore applying microservice concepts to batch and integration workloads using Spring Cloud Stream and Spring Cloud Task, with orchestration via Spring Cloud DataFlow for enhanced data processing applications.

Explore integrating Spark and Cassandra in Spring applications for powerful data analysis and storage. Learn implementation, pitfalls, and real-world usage of these technologies for large-scale data processing.

Explore event-driven microservices using Spring Boot, Apache Kafka, and Spring for Kafka. Learn to build a modern Java web application with live coding and practical patterns.

Explore efficient logging in Spring Boot using Elastic Stack. Learn to implement, manage, and visualize logs, add tracing, and optimize data collection for production environments.

Explore Testcontainers integration with Spring Boot for seamless integration testing and local development, leveraging Docker containers to provide real services without complex setups.

Explore Spring Batch's architecture, templates, and power through live coding examples. Learn to efficiently handle large-scale data processing tasks in enterprise environments.

Explore Apache Pulsar's unique capabilities in distributed messaging, supporting both streaming and queueing semantics. Compare with Apache Kafka and learn about integration with Spring framework.

Explore efficient data mapping in layered architecture using Spring Data Projections. Learn to optimize code, improve maintainability, and leverage database capabilities for data transformation.

Explore Spring for GraphQL's latest features and observability support through a sample application, demonstrating data fetching visualization and GraphQL request processing insights.

Explore GraalVM's polyglot capabilities, integrating Python with Spring Boot for enhanced data science functionality. Learn implementation, testing, and containerization techniques.

Explore building data streaming apps at scale using Spring, from edge to multi-cloud. Learn to integrate Spring with Kafka, MQTT, and other technologies for real-time processing in IoT and cloud environments.

Explore winning Autopsy modules: SpeechToText, AD1_Extractor, and FAMA. Discover innovative forensic tools enhancing digital investigations and evidence analysis capabilities.

Explore Autopsy's File Discovery UI and Central Repository for efficient digital forensics. Learn how past data analysis enhances file prioritization and streamlines investigations.

Comprehensive overview of Autopsy's latest features, including new interfaces and analysis modules, highlighting advancements in digital forensics and incident response capabilities.

Learn to process and analyze mobile device extractions using open-source Python tools iLEAPP and ALEAPP. Gain insights into artifact parsing, data analysis, and resources for creating custom parsers.

Explore RDP Bitmap Cache forensics for ransomware investigations. Learn to extract, analyze, and reconstruct crucial evidence often overlooked in digital forensics and incident response.

Practical guide to using APOLLO Python script for extracting and analyzing data from macOS and iOS devices, focusing on user activity, device status, application usage, and suspicious events.

Explore computer forensics using Autopsy software, covering evidence collection, analysis, and custom plugin development. Learn practical skills for solving real-world digital investigation cases.

Explore Autopsy's scoring features to quickly identify relevant data in digital forensics investigations, combining analysis results for efficient case prioritization.