Explore comprehensive profiling and benchmarking techniques for Clojure applications, leveraging tools like VisualVM, YourKit, and the Criterium library to optimize performance.
Explore techniques for optimizing critical code paths in Clojure, focusing on reducing allocations, using primitive types, leveraging type hints, and avoiding reflection to enhance performance.
Explore the use of futures and promises in Clojure for efficient asynchronous programming, with practical examples and best practices for Java professionals transitioning to functional programming.
Explore the process of packaging Clojure applications as standalone JARs using Leiningen's uberjar task, detailing the benefits for deployment and providing step-by-step instructions.
Explore the best practices for logging in Clojure applications, including structured logging, log levels, and sensitive data handling. Learn about popular logging frameworks like log4j2 and Timbre.
Learn how to instrument Clojure applications with metrics using libraries like metrics-clojure and export them to monitoring systems like Prometheus or Grafana.
Explore the deployment and scaling options for Clojure applications on major cloud platforms like AWS, GCP, and Azure. Learn about virtual machines, managed container services, and serverless functions with practical examples.
Dive into serverless deployment models using Clojure with AWS Lambda and Azure Functions. Learn how to adapt applications for serverless architecture, focusing on startup time, statelessness, and practical implementation strategies.
Explore a real-world case study on scaling a Clojure application to handle increased load. Learn about profiling, optimization, and infrastructure changes for improved performance.