Optimizing Angular Build Time in AWS CodeBuild

Mohd Asif, Devender Rawat


Speeding up the build time for Angular applications is key to keeping developers productive and ensuring smooth CI/CD pipelines. In this blog, we’ll look at some practical ways to optimize Angular build time using AWS CodeBuild. AWS CodeBuild is a managed service that compiles source code, runs tests, and produces deployable artifacts. By using the right techniques and configurations, developers can reduce build times and streamline their development workflow. Let’s dive into some easy tips to achieve this.



Problem Statement

Long build times can hinder development workflows, leading to decreased developer productivity and slower release cycles. Angular applications, with their complex dependency graphs and extensive build processes, are particularly susceptible to lengthy build times.


Angular applications are web apps built using Angular, Angular helps developers create fast and scalable applications with rich user interfaces. As projects grow larger and more complex, it’s crucial to optimize build times to keep the development process smooth and release new features quickly. By reducing build times, developers can work more efficiently and bring updates to users faster.


AWS CodeBuild offers features and configurations to optimize Angular build times effectively. By fine-tuning the build environment, caching dependencies, and optimizing build commands, developers can achieve significant improvements in build performance.


Optimizing Build Environment:

Start by selecting an appropriate build environment for your Angular project. Choose a compute type and image that align with your project’s requirements and resource demands. Additionally, consider using a custom Docker image tailored specifically for Angular builds, pre-installing necessary dependencies and tools to streamline the build process.


Caching Dependencies:

Utilize CodeBuild’s caching mechanism to cache dependencies and improve build performance. By caching the node_modules directory, subsequent builds can reuse installed dependencies, reducing the time spent downloading and installing packages. Configure the cache settings in your buildspec file to ensure efficient caching across builds.


Optimizing Build Commands:

Optimize your build commands to minimize execution time while preserving build integrity. Leverage Angular CLI options such as –prod for production builds and –aot for Ahead-of-Time compilation to optimize build output and improve runtime performance. Fine-tune other build parameters such as –build-optimizer to enable/disable build optimizations based on your project’s requirements.



Steps for creating a Build project:

  1. Build project :
    Select the source provide and repository

  2.  Select the latest entry as per requirements under Environment:

  3. Use below command for build for reducing the build time:

    – NODE_DEBUG=cluster,net,http,fs,tls,module,timers node –trace-gc –max_old_space_size=25000 ./node_modules/@angular/cli/bin/ng build –prod –build-optimizer=false –verbose  –aot=false

  4. Use Artifacts for storing objects in S3: 

  5. Artifacts syntax in buildspec yaml file:



          – dist/**/*

          – appspec.yml

          – reload_nginx.sh

          – check_angular_status.sh

  6. Use Cache features for reducing the build timing & storing the modules in S3

  7. Cache syntax in build spec yaml file :



          – ‘node_modules/**/*’











  1. Improved Developer Productivity: By reducing build times, developers can iterate more quickly, leading to enhanced productivity and faster feature delivery. Developers spend less time waiting for builds to complete, allowing them to focus on writing code and implementing features.

  2. Faster Time-to-Market: Optimal build times enable faster release cycles, allowing organizations to deliver new features and updates to users more rapidly. Accelerated development workflows result in shorter time-to-market, giving businesses a competitive edge in the market.

  3. Cost Savings: Shorter build times in AWS CodeBuild can lead to cost savings by reducing the compute resources consumed during builds. By optimizing build configurations and minimizing resource usage, organizations can optimize their AWS spending while maintaining efficient CI/CD pipelines.

  4. Streamlined CI/CD Pipelines: Optimized build times contribute to the overall efficiency of CI/CD pipelines, ensuring smooth and seamless delivery of software updates. Fast builds enable more frequent deployments, facilitating continuous integration and continuous delivery practices.

  5. Enhanced Developer Experience: Developers benefit from a smoother and more responsive development experience when build times are optimized. Reduced wait times for builds improve developer satisfaction and morale, leading to a more positive overall development environment.

  6. Scalability and Flexibility: AWS CodeBuild’s scalability allows it to handle builds of varying sizes and complexities. By optimizing build times, organizations can scale their development efforts more effectively, accommodating growing project requirements and team sizes without sacrificing performance.

  7. Better Resource Utilization: Optimal build configurations ensure efficient utilization of compute resources within AWS CodeBuild. By minimizing resource waste and maximizing resource utilization, organizations can optimize their infrastructure costs and achieve better ROI on their AWS investments.

  8. High-Performance Builds: Optimized build configurations result in high-performance builds that produce deployable artifacts quickly and reliably. Fast builds enable rapid feedback loops, empowering developers to identify and address issues early in the development lifecycle.



Optimizing Angular build times in AWS CodeBuild is essential for enhancing developer productivity and accelerating release cycles. By leveraging build environment optimizations, caching dependencies, and fine-tuning build commands, developers can significantly reduce build times and streamline the development process. Implementing these strategies empowers development teams to deliver high-quality Angular applications efficiently and effectively in AWS environments.

About Author(s)

Mohammad Asif is a DevOps Engineer and Certified Solutions Architect Associate with a focus on cloud computing and automation. Passionate about DevOps, he enhances collaboration and streamlines processes. Mohammad is committed to continuous learning and driving innovation in organizations.

Devender Rawat, with over 5 years of expertise in AWS cloud, specializes in CICD migration and modernization projects. With a focus on streamlining processes and leveraging cutting-edge technologies, Devender has successfully implemented numerous solutions to enhance efficiency and drive innovation in cloud-based environments.

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