Build Failing for CapCut Website on Travis CI Due to Asset Minification Errors

[joedeen4]

Hi everyone,

I’m facing an issue with the Travis CI build pipeline for my website related to CapCut. The build fails during the deployment stage, specifically when running the asset minification process. The error log shows:

Error: JavaScript heap out of memory  
npm ERR! code ELIFECYCLE  
npm ERR! errno 1

I’m using a Node.js-based static site generator (Gatsby), and the pipeline runs fine locally. The travis.yml file includes the following configurations:

language: node_js  
node_js:  
  - 18  
install:  
  - npm ci  
script:  
  - npm run build

I’ve tried increasing the memory limit using NODE_OPTIONS=--max_old_space_size=4096, but the error persists.

Does anyone know how I can resolve this issue or optimize the pipeline to handle larger builds? Could it be related to Travis CI’s resource limitations? Any insights would be greatly appreciated!

Thanks in advance for your help!

[joedeen4]

@joedeen4

I’m using a Node.js-based static site generator (Gatsby), and the pipeline runs fine locally. The travis.yml file includes the following configurations:

language: node_js  
node_js:  
  - 18  
install:  
  - npm ci  
script:  
  - npm run build

I’ve tried increasing the memory limit using NODE_OPTIONS=--max_old_space_size=4096, but the error persists.

Does anyone know how I can resolve this issue or optimize the pipeline to handle larger builds? Could it be related to Travis CI’s resource limitations? Any insights would be greatly appreciated!

Is there anyone?

[joedeen4]

@joedeen4

I’m using a Node.js-based static site generator (Gatsby), and the pipeline runs fine locally. The travis.yml file includes the following configurations:

language: node_js  
node_js:  
  - 18  
install:  
  - npm ci  
script:  
  - npm run build

I’ve tried increasing the memory limit using NODE_OPTIONS=--max_old_space_size=4096, but the error persists. Interestingly, this reminds me of how video editors like capcut pro apk handle large video projects efficiently by optimizing processing resources, such as GPU acceleration. I wonder if there’s a similar optimization technique for Node.js or Travis CI pipelines to allocate resources better. Could it be related to Travis CI’s resource limitations? Any insights would be greatly appreciated!

Is there anyone please help me as I am not a technical person ???