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Discover techniques for effectively working with and improving legacy code systems, focusing on understanding, refactoring, and modernizing outdated applications to enhance their functionality and maintainability.
Explore Apollo program's engineering innovations, project management techniques, and software development strategies that revolutionized space exploration and remain relevant in modern technology.
Explore effective unit testing strategies, from naming and nesting to data-driven and property-based approaches. Learn to structure tests for clarity, maintainability, and maximum benefit in software development.
Explore common async/await mistakes in C#, best practices, and a deep dive into C# 8's async streams for building efficient distributed systems and microservices.
Explore agile software architecture principles, roles, and practices. Learn how to effectively implement architectural concepts in modern development environments.
Learn to implement App Metrics in ASP.NET Core applications, exploring metrics, time series databases, dashboards, and best practices for effective monitoring and observability in .NET environments.
Explore deep learning for NLP using TensorFlow. Learn to create embeddings, build neural networks, and apply them to classification tasks with hands-on labs and interactive learning.
Practical guide to identifying service boundaries in complex systems, avoiding common pitfalls, and discovering natural separations of concerns to prevent future rewrites.
Explore distributed systems challenges in e-commerce, examining failures, coupling, and refactoring towards resilient checkout processes that embrace distributed computing fallacies.
Unravel expression trees in C#, exploring their power in Entity Framework and AutoMapper. Learn creation, usage, and real-world applications for efficient data access and mapping.
Explore distributed tracing and monitoring using OpenCensus, covering core concepts, implementation, and integration with various systems for enhanced cloud service observability.
Explore techniques for efficiently reading and understanding large codebases, fostering curiosity and connection with fellow programmers through their work.
Explore software development decisions at Jurassic Park, analyzing build vs. buy strategies, their consequences, and lessons learned to make better choices in system architecture and implementation.
Discover how to migrate an API to Azure Functions, using Visual Studio Code and Azure Functions extension to streamline development and join the ranks of serverless developers.
Applying DevOps practices to Data Science for continuous value addition, covering documentation, data refresh, testing, monitoring, and security compliance in predictive model development.
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