Stephen Kanyi

I work as DevOps support Engineer focusing on containers technologies in AWS cloud. The services that I interact mostly with include but not limited to EKS, ECS, Batch and more.

• Help AWS Customers setup ECS cluster to be able to scale depending on the workloads.
• Help AWS Customers setup up EKS (kubermetes) clusters to be able to secure and scale using cluster Auto scaler as workload varies.

At SpatialKey, I focused on automation workflows of different GIS datasets extractions, transformation and Loadding (ETL) into our system for analysis. I also worked on deployment pipelines using Jenkins for the application and handled production deployment which was done on rotational basis.

• Shaped my team workflows, increasing the speed and quality of our deliveries by incorporating automation on most of our workflows and created documentation around them.
• Slashed the release process 75% by automating the configuration management using Ansible playbooks and minimizing human errors.
• Reduced the amount of time taken to update datasets for clients by half with automation around manual and repetitive workflow.
• Minimized the time we take to integrate third-party partners’ data with our system from around three weeks to one week with automation.

At Andela, I focused on improving the internal tooling architecture and deployment pipelines by breaking down the monolithic applicatin into microservices and deploying them to Google cloud kubernetes (GKE).

• Improved developer workflow, increased stability, and scalability of our systems by breaking up the monolithic apps into microservices using Docker containers and Kubernetes.
• Created and maintained fully automated CI/CD pipelines for code deployment using CircleCI Deploy and Travis.
• Actively managed and monitored cloud infrastructure on GCP, VMs, and RDS, including backups, patches, and scaling.