Reposting this from my personal blog which was written 2 years back, as I am looking to consolidate some of the articles and potentially retiring my personal website and focus on writing on Medium. Nonetheless, reading back the old article brings back some good ol’ memories and reminds me of the technological advancement that I have seen and experienced in the country.
It has been a while since I took my solo trip. Most of my travel mates don’t seem to express interest to travel to China, so the idea of traveling together (to China) has been called off several…
In the previous article, I posted on how engineers can leverage on Bitbucket Pipelines as a CI/CD tool to automate the integration and deployment process. Specifically, using Bitbucket Pipelines to deploy serverless cloud function code to GCP.
In this article, we will discuss how we can do the same to deploy serverless code to AWS Lambda.
Prerequisite:
- An AWS account with the permission to create new IAM role
- Bitbucket account with the permission to create / manage repository
- Application / function code
Steps
Having a CI/CD pipeline setup can save software engineers tons of time, making sure the deployment steps are consistent and reduce potential errors by automating repeatable steps. In our company Interviewer.AI, we are using Bitbucket as our version control repository hosting service and deploying various serverless applications and functions to GCP Cloud Function and AWS Lambda. This post will be explaining the steps to configure Bitbucket Pipelines as a CI/CD tool to deploy function code to GCP Cloud Function.
In our company Interviewer.AI, we have been using a lot of AWS Lambda / GCP Cloud Function for scheduled tasks. For example, a daily event scheduled via AWS Cloudwatch Event to Lambda in order to send out daily insights / reports for our users.
Bk Lim
Co-founder of Interviewer.AI. GCP Professional Cloud Architect. Passionate about architecting and implementing cloud native solution to make human efficient!
