Here are 100 chapter titles for a book on SBT (Scala Build Tool), structured from beginner to advanced, with a focus on its use in DevOps for continuous integration, automation, deployment, and building scalable Scala applications in cloud-native and microservices environments.
¶ Part 1: Introduction to SBT and DevOps Basics
- Introduction to SBT: What It Is and Why It’s Essential for Scala Development
 
- The Role of Build Tools in DevOps: Integrating SBT in Continuous Integration Pipelines
 
- Installing and Configuring SBT: A Step-by-Step Guide
 
- Understanding SBT Project Structure: Directories, Files, and Settings
 
- How SBT Improves Build Automation in DevOps
 
- Your First SBT Project: Creating and Building a Scala Application
 
- Using SBT to Compile Scala Code Efficiently in DevOps
 
- Understanding SBT’s Build Lifecycle: Phases, Tasks, and Commands
 
- Customizing the Build Process: SBT Settings and Configuration Files
 
- Managing Dependencies in SBT: Scala Libraries, Versions, and Resolving Conflicts
 
- Exploring SBT’s Multi-Project Builds for Large-Scale Applications
 
- SBT Plugins: Enhancing Your Builds with External Plugins
 
- Using SBT for Dependency Management in Microservices Architectures
 
- Running Tests with SBT: A Comprehensive Guide for DevOps Teams
 
- Integrating SBT with Version Control Systems (Git, GitHub, GitLab)
 
- Setting Up SBT in Continuous Integration (CI) Pipelines
 
- Creating and Running Unit Tests in SBT for Scala Applications
 
- Optimizing SBT for Faster Builds in a DevOps Environment
 
- Working with SBT's Console for Interactive Development and Debugging
 
- Basic SBT Commands: Running, Compiling, and Testing with One Command
 
- Advanced SBT Commands and Tasks: Automation and Customization
 
- Integrating SBT with Jenkins for Continuous Integration in DevOps
 
- Building Artifacts in SBT: JARs, WARs, and Docker Images
 
- SBT for Continuous Testing and Deployment Pipelines
 
- Setting Up SBT for Scala Application Deployment in Cloud Environments
 
- Working with SBT Native Packager for Packaging and Deployment
 
- Creating SBT Profiles for Development, Testing, and Production Environments
 
- Automating Code Quality Checks with SBT and Scalastyle
 
- Using SBT with Docker: Building Scala Applications as Docker Containers
 
- Integrating SBT with Kubernetes for Scalable Scala Application Deployment
 
- Setting Up SBT for Serverless Scala Applications in AWS Lambda
 
- Versioning and Managing Scala Applications with SBT in a DevOps Pipeline
 
- Handling Multi-Module Projects in SBT for Large Applications
 
- SBT in Cloud-Native Development: Building Applications for Kubernetes
 
- Using SBT for Cross-Compilation: Scala, Java, and Scala.js
 
- Understanding SBT’s Incremental Compilation for Faster Builds
 
- Using SBT with ScalaTest for Automated Unit and Integration Testing
 
- Testing Scala Code in Parallel with SBT for Faster Feedback Loops
 
- Configuring SBT to Use Multiple Scala Versions in Multi-Project Builds
 
- Continuous Integration with SBT and GitLab CI/CD Pipelines
 
¶ Part 3: Advanced SBT for Continuous Delivery and Monitoring
- Building Advanced SBT Workflows for Scalable Microservices Development
 
- Managing Dependencies in SBT for Large-Scale Distributed Applications
 
- Configuring SBT for Multi-Environment Deployments: Staging, Production, and Development
 
- Advanced SBT Plugin Development: Custom Plugins for Your Build Needs
 
- Leveraging SBT for Continuous Deployment in Cloud Platforms (AWS, GCP, Azure)
 
- Integrating SBT with Terraform for Infrastructure as Code Automation
 
- Automating the Deployment of Scala Microservices with SBT and Kubernetes
 
- Building and Deploying Scala Applications with SBT and Ansible
 
- Running Performance Tests in SBT and Monitoring Build Times
 
- Tracking and Reporting Build Metrics with SBT for Continuous Improvement
 
- Using SBT to Automate Release Management in DevOps Pipelines
 
- Deploying Scala Applications via SBT and Continuous Deployment Pipelines
 
- Optimizing Multi-Project Builds in SBT for Large Teams and Enterprises
 
- Integrating SBT with Prometheus and Grafana for Build Metrics and Monitoring
 
- Using SBT for Dependency Locking and Reproducible Builds in a DevOps Pipeline
 
- Continuous Monitoring of Build Failures and Errors with SBT and Raygun
 
- Managing Parallel Builds in SBT for Improved Scalability
 
- Creating Custom SBT Tasks for Specific DevOps Automation Needs
 
- Integrating SBT with Slack and Microsoft Teams for Build Notifications
 
- Securing Your Scala Builds with SBT: Best Practices for Secret Management
 
¶ Part 4: SBT in Large-Scale and Enterprise-Level DevOps Workflows
- Scaling SBT for Large-Scale Applications: Managing Huge Codebases
 
- Using SBT for Enterprise-Grade Continuous Integration and Delivery Pipelines
 
- SBT for Multi-Tenant Applications: Managing Multiple Builds with Different Configurations
 
- Building and Deploying Scala Microservices with SBT in Multi-Cloud Environments
 
- Optimizing Build Performance in SBT for Large, Complex Applications
 
- Integrating SBT with Monitoring Tools for Real-Time Build Feedback
 
- Advanced Dependency Management with SBT in Enterprise DevOps Environments
 
- Managing Build Failures and Issues at Scale with SBT
 
- Tracking and Visualizing Build Health Metrics with SBT in a CI/CD Pipeline
 
- Deploying Scala Applications with SBT and Kubernetes at Scale
 
- Integrating SBT with Cloud-Native Development Tools: Helm, Istio, and More
 
- Configuring SBT for Continuous Compliance Monitoring and Reporting
 
- Using SBT for Continuous Delivery of Scala Applications in Large Enterprises
 
- Managing Large Teams with SBT: Best Practices for Collaboration
 
- Versioning and Rolling Back Scala Deployments with SBT in Production
 
- Advanced Testing with SBT: Load Testing and Stress Testing Scala Applications
 
- Using SBT with Multi-Repository Architectures for Large DevOps Teams
 
- Managing Cross-Platform Builds with SBT for Scala.js and Scala Native
 
- Optimizing SBT for Continuous Performance Testing in DevOps Pipelines
 
- SBT for Real-Time, Fault-Tolerant Build Systems in Enterprise Environments
 
¶ Part 5: Mastering SBT for Advanced DevOps and Cloud-Native Development
- Building and Deploying Scala Applications with SBT in a Serverless Architecture
 
- Leveraging SBT for Cloud-Native Microservices in Kubernetes with Continuous Monitoring
 
- Continuous Security and Vulnerability Scanning with SBT in DevOps Pipelines
 
- Using SBT with Docker Compose for Multi-Container Scala Application Deployment
 
- Advanced SBT Performance Tuning for Massive Distributed Systems
 
- Automating Compliance Checks with SBT for Scala Applications in DevOps
 
- Integrating SBT with GitOps for Immutable Infrastructure and Continuous Delivery
 
- SBT for Multi-Region Cloud Deployments: Best Practices for Global Applications
 
- Using SBT for Microservices Security Scanning in DevOps Pipelines
 
- Configuring SBT for High Availability and Failover in Distributed Systems
 
- Building Complex CI/CD Workflows with SBT and Kubernetes Operators
 
- Leveraging SBT for Multi-Cloud, Multi-Region Continuous Integration
 
- Scaling SBT Builds with Distributed Build Systems (e.g., Bazel, Pants)
 
- Customizing SBT for Efficient Management of Microservices Dependencies
 
- Continuous Deployment of Cloud-Native Scala Applications with SBT and Terraform
 
- Advanced SBT Plugins for Cloud-Native, Serverless, and Kubernetes Integration
 
- Creating Custom Monitoring Dashboards for SBT Builds with Prometheus and Grafana
 
- End-to-End DevOps Automation: From Code to Cloud with SBT and CI/CD
 
- Future Trends in SBT and DevOps: Leveraging New Features and Ecosystem Changes
 
- Mastering SBT for Continuous Improvement in Cloud-Native Scala Applications
 
These chapter titles provide a comprehensive learning journey, from the basics of setting up SBT for Scala projects to advanced configurations for large-scale deployments and continuous integration in DevOps pipelines. The focus is on improving scalability, automation, performance, and security in cloud-native and microservices architectures, ensuring that SBT becomes an integral part of modern DevOps workflows.