Automated, reliable, and scalable serverless delivery
Accelerate your AWS Lambda deployments with a pre-built, enterprise-ready CI/CD pipeline. From commit to production, everything is automated, integrated, and secure.
Seamless AWS Integration
Works across CodeCommit, CodeBuild, CodePipeline, CloudWatch, S3, and Lambda.
Faster, Safer Releases
Automated testing and deployment ensure minimal downtime and maximum stability.
Scalable for Teams
Handles growing workloads without adding manual effort or any complexity.
AWS Lambda
Deployment Workflow
A fully automated deployment pipeline that streamlines code delivery—from planning in JIRA to live AWS Lambda deployment.
Plan in JIRA
Customer creates a backlog story in JIRA to initiate the deployment process.
Commit to CodeCommit
Developers push software changes to AWS CodeCommit repository.
Trigger via CloudWatch
Commits generate logs and notifications through AWS CloudWatch.
Run Build & Tests
CodePipeline triggers build, automated tests, and pushes artifact to S3.
Deploy to Lambda
On successful tests, code is deployed to AWS Lambda automatically.
Notify Customer
Customer receives confirmation of successful deployment.
CASE STUDIES
Our Success Stories
A leading Research & Development company partnered with Axcess.io to transform its software delivery process by implementing a robust CI/CD pipeline on AWS. The aim was to eliminate manual deployment dependencies, enhance developer agility, and improve release velocity through automated, secure, and scalable DevOps practices.
Modernized and automated hubble Connected's software delivery pipeline on AWS. The goal was to establish a robust CI/CD system that would support agile development, reduce manual deployment cycles, and improve release quality and speed. The result was a scalable, secure, and developer-friendly CI/CD framework optimized for rapid delivery.
Transformed Capital Float's software delivery lifecycle by implementing robust CI/CD automation on AWS. The initiative focused on enabling faster releases, reducing manual intervention, and ensuring reliable and secure deployments, ultimately boosting agility and operational efficiency.