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Explore Google's tech stack for building web UIs serving billions, including build tools and developer experience for large-scale app development.
Explore technical aspects of AI in software development, including tools, architectures, and best practices for incorporating AI into workflows and ethical considerations.
Explore the unique dynamics between managers and developers, uncovering communication challenges and strategies to bridge the gap for more effective collaboration in tech teams.
Explore progressive delivery techniques for Kubernetes, including blue-green deployments, canary releases, and GitOps, to safely validate applications in production using tools like Istio, Prometheus, and Argo.
Explore data-oriented programming principles and pattern matching in Java for safe, powerful, and maintainable ad-hoc polymorphism. Compare with OOP to understand when to apply DOP effectively.
Discover the benefits of upgrading to Java 17, learn about the challenges involved, and get practical tips for a smooth transition. Prepare for Java 21 with concrete examples and solutions.
Explore Project Amber's solutions to Java's pain points, including text blocks, pattern matching, records, and more, enhancing expressiveness and readability in the language.
Explore cloud-native Java security risks, vulnerabilities, and best practices through live-hacking demonstrations, focusing on open-source dependencies and Docker images.
Explore an innovative machine learning approach to detect and mitigate flaky tests, enhancing software development efficiency and reducing frustration for developers.
Explore efficient testing of cloud-native apps using Testcontainers. Learn to run cloud services locally, improving development feedback and reducing costs. Covers S3, DynamoDB, Lambdas, Google Spanner, and more.
Explorează cum Google Protobuf și gRPC creează API-uri rapide și consistente, oferind scalabilitate, polilingualism și streaming bidirecțional pentru companiile competitive.
Explore the journey from monolith to microservices, examining best practices, cloud-native considerations, and legacy challenges in real-world application architecture decisions.
Discover how unit tests provide crucial feedback on code design, revealing opportunities for improvement and guiding developers towards better practices and principles.
Explore event-driven autoscaling for serverless Java on Kubernetes using KEDA and Knative. Learn to redesign autoscaling architecture based on event metrics from Apache Kafka for improved efficiency and scalability.
Explore serverless Java app deployment using MicroProfile and Quarkus on Google Cloud Run. Learn to create and deploy applications with minimal infrastructure management for fast, efficient cloud-based development.
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