
Exploring Node.js-COBOL integration as a bridge between legacy systems and modern development, addressing programmer shortages and enabling new features without complete rewrites.

Explore Java Diamond Dependency conflicts in gRPC, their impact on projects, and learn Google's best practices and tools for detecting and resolving these issues.

Exploring next-gen stateful serverless architecture: CloudState project addresses limitations of FaaS, enabling scalable, long-lived services and distributed state management for general-purpose applications.

Explore best practices for deploying Spring Cloud apps on Kubernetes, leveraging Cloud-Native Buildpacks and Azure for seamless cloud-native development and management.

Learn to define Kubernetes applications using programming languages instead of YAML with CDK for Kubernetes. Create reusable constructs and package them as libraries for efficient application development.

Simplify Java containerization for Kubernetes using Jib, a declarative tool that integrates with Maven and Gradle for faster, more reproducible builds without Dockerfiles.

Explore modern least privilege principles in DevSecOps, focusing on platform teams, continuous delivery, and scaling to zero for enhanced security and efficiency in cloud-native environments.

Explore building resilient distributed systems using Akka and Docker, focusing on Reactive microservices architecture, HTTP/JSON marshalling, persistence, and deployment strategies.

Explore Scala's versatility in diverse projects, from music analysis to robotics and home automation, showcasing its power in data processing, web development, and hardware integration.

Learn to build and integrate a recommender system using Apache Spark and Akka HTTP. Discover the components of recommender systems and implement one with machine learning techniques in a practical, hands-on session.

Explore building IoT applications with Scala and Akka, using Lego trains as a practical example. Learn about remote actors, performance comparisons, and challenges in IoT development.

Explore microservices implementation using Scala and Akka. Learn about granularity, boundaries, communication, and reactive principles in distributed systems. Gain insights into advanced Akka usage and domain modeling.

Explore advanced type systems for optimizing Scala code, reducing performance overhead in generic methods, lazy vals, and closures through the Dotty Linker whole-program optimizer.

Dive deep into Akka Streams implementation and Reactive Streams standard. Explore real-life scenarios where back-pressure keeps systems fast and healthy. Applicable to asynchronous programming.

Practical exploration of building a reactive web application using Play Framework, covering key concepts like Futures, Actors, and Circuit Breakers through live coding and load testing.

Explore microservices implementation using Scala and Akka, covering design principles, communication strategies, and reactive software tenets. Learn advanced techniques for crafting scalable, resilient distributed systems.

Explore efficient streaming of static data in Akka Persistence, focusing on architecture, implementation, and performance tuning for distributed systems and enterprise applications.

Explore building elastic and resilient distributed systems using Akka toolkit and Docker, with a focus on creating Reactive microservices through live demonstrations.

Explore IoT applications using Scala and Akka for Lego trains, comparing remote actors to REST endpoints. Includes live demo of a Raspberry Pi-controlled Lego train system with various IoT components.

Explore Lightbend Lagom, an opinionated framework for building reactive microservices. Learn its development environment, project structure, and key features through code examples and live demos.

Learn to build and integrate a recommender system using Apache Spark and Akka HTTP. Discover the basics of machine learning and how to implement it in your applications for personalized recommendations.