Chapter 16: Scaling and Deploying Clojure Applications

In this section

• 16.1 Performance Optimization Techniques
  • Profiling and Benchmarking Clojure Applications: Tools and Techniques
    Explore comprehensive profiling and benchmarking techniques for Clojure applications, leveraging tools like VisualVM, YourKit, and the Criterium library to optimize performance.
  • Optimizing Hot Paths in Clojure for Performance Enhancement
    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.
• 16.2 Concurrency and Parallelism Strategies
  • Utilizing Futures and Promises in Clojure for Asynchronous Programming
    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.
  • Parallel Processing with `pmap` and Reducers
    Explore parallel processing in Clojure using `pmap` and reducers, including practical examples, best practices, and limitations.
• 16.3 Deploying Clojure Services
  • Packaging Standalone JARs with Leiningen: A Comprehensive Guide
    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.
  • Docker Containerization for Clojure Applications
    Master the art of containerizing Clojure applications using Docker, from writing Dockerfiles to deploying containers.
• 16.4 Monitoring and Observability
  • Logging Best Practices: Mastering Logging in Clojure for Java Professionals
    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.
  • Metrics Collection and Analysis for Clojure Applications
    Learn how to instrument Clojure applications with metrics using libraries like metrics-clojure and export them to monitoring systems like Prometheus or Grafana.
• 16.5 Cloud Deployment Considerations
  • Scaling Clojure Applications on AWS, GCP, and Azure
    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.
  • Exploring Serverless Deployment Models with Clojure
    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.
• Scaling an Application Under Load: A Clojure Case Study
  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.