
Strategies for building resilient Java Enterprise applications in production, covering circuit breakers, bulkheads, backpressure, and telemetry using MicroProfile and service meshes.

Leverage Kubernetes and Istio to enhance legacy applications without code changes. Add monitoring, blue/green deployments, canary builds, and fault tolerance to improve existing systems.

Explore service-oriented architecture for frontend development through micro frontends, enhancing software engineering processes and learning valuable lessons from StepStone's transformation journey.

Explore how Twitter optimizes services using Graal and Machine Learning, achieving significant cost savings and performance improvements through autotuning.

Explore outside-in software design to align architecture with business goals, enhancing agility and collaboration between product and technology teams.

Explore event-driven architecture challenges, focusing on event versioning, content negotiation, and acceptance testing using Spring Cloud stack and Consumer Driven Contracts for non-REST APIs.

Practical insights on implementing event sourcing and CQRS at scale, addressing real-world challenges like security, GDPR, and maintainability in financial and insurance sectors.

Discover techniques for continuous profiling in production environments to solve performance issues, improve scalability, and reduce costs in modern distributed systems.

Optimize Java performance with GraalVM: create smaller, faster containers for improved scaling, shorter lead times, and cost-effective cloud usage in serverless environments.

Learn Kubernetes fundamentals for orchestrating Docker containers in production, including key concepts like Pods, Services, Deployments, and Ingress. Gain practical insights for scalable, zero-downtime deployments in the cloud.

Exploring modern software architecture: moving beyond legacy constraints to deliver value through evolutionary approaches and measurable fitness.

Explore team leadership through distributed systems theory, applying concepts like CAP Theorem to optimize team dynamics, communication, and culture for successful scaling.

Explore reactive applications in Micronaut, handling hot data sources with Apache Kafka, and creating interactive web clients using D3.js. Learn testable approaches for efficient data processing and visualization.

Explore TDD approaches for Jenkins pipelines, from unit to integration tests. Learn to develop and test groovy libraries locally and on live instances, ensuring robust continuous delivery on Kubernetes clusters.

Exploring Twitter's use of Graal to optimize Java performance, reduce CPU usage, and lower costs in their large-scale distributed system. Insights into compiler technology and JVM improvements.

Explore advanced techniques for designing scalable Angular architectures using Schematics, focusing on best practices and patterns for flexible, reusable enterprise-level projects.

Explore modern UI testing frameworks beyond Selenium, including Protractor, TestCafe, and Cypress.io. Learn their advantages, implementation tips, and how they address WebDriver limitations.

Explore Twitter's journey to implement Graal runtime, examining compiler technology, performance improvements, and challenges faced in optimizing large-scale Java applications.

Explore how lambda expressions transform design patterns, enhancing code clarity and efficiency while reducing complexity in modern programming paradigms.

Explore the groundbreaking software engineering behind the Apollo moon landing, including priority scheduling, multitasking, and error handling that shaped modern computing.

Demystifying Data Mesh through practical platform building, focusing on components, patterns, and technologies for developing and reusing data products in cloud-native environments.