The client’s platform was designed to collect enterprise-level data for delivering comprehensive analytics to end users. To accelerate their business growth, the client decided to adopt a DevOps culture and automate manual tasks in their delivery and deployment process.
They contacted us to seek assistance in adopting CI/CD practice, improving their overall delivery process, and minimizing disruptions.
Our technical team had to enable Continuous Integration and Continuous Delivery, move the core operations to the AWS cloud, simplify error detection before releases, and speed up software deployments.
our team automated existing deployments and made it easier to roll out new functionality, as well as integrated the test environment into the process;
we architected microservices through containers that equal the number of web instances to provide a separate executable environment for each vital feature;
inserting centralized logging that identifies server problems.
What began as a short-term project turned into a 3-year cooperation. Our team helped the client achieve a 73% cost reduction through automation. In addition, our team significantly improved software quality, minimizing functional defects and delivering 6 times faster deployments.
Computer Software, DevOps
USA
3 DevOps Engineers
Terraform, Packer, AWS, Digital Ocean, Docker, ELK Stack, Amazon Route 53, Rclone, Python, Jinja
3 years
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