Edith Cherotich
Hey there! I’m Edith, a DevOps & Cloud Engineer passionate about designing cloud solutions that solve real-world problems. I thrive on simplifying complex challenges and creating secure, scalable infrastructures that adapt to each project’s needs. With a love for continuous learning, my goal is to help businesses thrive by building cloud strategies that drive efficiency and results. Whether it’s streamlining processes or enhancing security, I’m committed to building solutions that help businesses succeed.
Hello, and welcome! This section is a peek into my journey as a DevOps & cloud engineer, where automation and innovation come together. Each project here is designed to tackle real-world challenges, focusing on efficiency and scalability. Take a look around, explore my work, and see the solutions I’ve created!
An automated solution using AWS Boto3 to take daily snapshots of EBS volumes, making the backup process more efficient and less prone to errors.
A serverless application built on AWS, leveraging services like S3, Lambda, Rekognition, and DynamoDB to automatically detect and analyze faces in images, providing scalable and efficient facial recognition capabilities.
Automating the deployment of a static website to AWS S3 by setting up a CI/CD pipeline with Terraform. This solution simplifies infrastructure management, enabling continuous delivery and seamless updates for the website.
This project uses Kubernetes and NGINX Ingress to perform safe, gradual rollouts of new updates. It allows for easy rollbacks if something goes wrong, ensuring smoother deployments with less risk.
This project shows how to move an EC2 instance that was originally set up manually in the AWS Management Console to Terraform. By doing this, we can automate the management of the instance, making it easier to replicate and track changes using Terraform code.
Developed a comprehensive CI/CD pipeline for a Java-based application using Jenkins, automating the entire lifecycle from build to deployment. Integrated SonarQube for static code analysis and quality checks. The application was containerized with Docker and images were pushed to DockerHub. Utilized ArgoCD for GitOps-based continuous deployment, enabling real-time monitoring and automatic rollout of updates to the Kubernetes cluster using custom deployment scripts. This solution enhanced development velocity, code quality, and deployment reliability.
AWS
Terraform, AWS CloudFormation
Docker, Kubernetes, Amazon ECS/EKS
VPC, Route 53, Amazon Cloudfront
Python, Bash
IAM, Encryption (KMS, TLS)
DynamoDB, RDS (MySQL, PostgreSQL)
AWS CloudWatch, CloudTrail
For more blog posts, visit my Medium profile.
AWS Certified Solutions Architect – Associate
AWS Certified Cloud Practitioner
"I was really impressed with the AWS cloud hosting setup by Edith. Edith was patient and explained everything in simple terms so I could understand it. Highly recommend for anyone looking for AWS experts who deliver great results!"
-Happy Client
"Edith's deep understanding of cloud technologies and infrastructure made a huge difference in optimizing our system. Her ability to troubleshoot and provide solutions is top-notch. Highly recommended!"
-Satisfied Customer
"Edith’s expertise made a huge difference. Efficient, knowledgeable, and reliable – exactly what we needed!"
-Valued Client