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Devops Engineer

Hi, I'm Laxman
Patel from India

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Programming : Bash, Python, Go
CI/CD : Github Actions, Jenkins, ArgoCD
Containerisation : Docker, Kubernetes
Configuration Management & IaC : Ansible, Terraform
Monitoring : Prometheus, Grafana
Cloud : AWS EC2, VPC, S3, ALB, EKS, Route53


Cloud Platform Engineer

E2E Networks Ltd, Jun 2023 - July 2024

• Provided technical support to customers, resolving issues related to cloud infrastructure and services including LB appliances, EOS, Kubernetes, SFS, CDN and DNS, ensuring high levels of customer satisfaction.

• Created and maintained comprehensive documentation for cloud services, support processes, and troubleshooting guides to facilitate knowledge sharing within the team.

• Worked closely with development and operations teams to understand customer requirements and provide feedback for continuous improvement of cloud services.

• Leveraged Zabbix for real-time for alerts and monitoring of cloud systems, optimizing resource usage for cost-effectiveness and ensuring high availability.

• Assisted in incident response and resolution, participating in root cause analysis to improve service reliability and reduce future occurrences.

• Provided knowledge transfer (KT) sessions to new joiners in the company, enhancing their understanding of cloud services and best practices.

Site Reliability Intern

Altimetrik India, Jan 2022 - Aug 2022

  • Designed and implemented a Jenkins pipeline to streamline automated builds, testing, and deployments, ensuring faster and more reliable software releases.

  • Packaged applications into lightweight Docker containers, leveraging multi-stage builds to enhance efficiency and reduce pod startup latency by 20%, improving overall application performance.

  • Deployed, configured, and managed applications on Kubernetes, ensuring seamless scalability, high availability, and optimized resource utilization.

  • Set up and fine-tuned Prometheus & Grafana dashboards to enable real-time monitoring, proactive alerting, and efficient incident management, reducing mean time to resolution (MTTR). 

  • Handled on-call rotations, minimized downtime, and documented deployment workflows for seamless collaboration and knowledge sharing.

My Work

A collection of projects I've worked on.

CI/CD Pipeline to deploy Go Web App using GitOps


The application is designed to run in Kubernetes environment, leveraging Docker for containerization and GitHub Actions for CI.  Utilizing Helm for managing Kubernetes manifests and ArgoCD for continuous deployment, ensuring that our application is always up to date.

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3-Layered Architecture using Terraform on AWS


A 3-layered architecture, is a client-server architecture that separates an application into three distinct layers: presentation layer, application layer, and data layer that can be scaled and managed independently, providing high availability, fault tolerance, and scalability

More.



Robust DDoS Protection Strategy for AWS with  WAF


​ The project involves configuring web ACLs to effectively filter malicious traffic. To ensure the strategy's effectiveness testing using load test scripts is performed, simulating various attack scenarios which validates the resilience of the application during potential DDoS attacks.

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Stock Market Kafka Real Time Data Engineering Project


The pipeline effectively captures, processes, and analyzes streaming stock data, enabling efficient querying and insights generation, thereby enhancing decision-making capabilities in financial markets.

It leverages technologies such as Python, AWS, Glue, Athena, and SQL to design a robust data pipeline.

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