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richiesebastian/README.md

✨ Richie Sebastian ✨

Welcome Badge

I'm a seasoned DevOps and Cloud Architect with over a decade of hands-on experience in Cloud Computing, Infrastructure Automation, Big Data Solutions, and Container Orchestration. As the Head of DevOps at Avesha Systems, I lead a team of engineers in delivering scalable, secure, and high-performance infrastructure solutions across multi-cloud environments.


πŸ› οΈ Tech Stack & Skills

Java Python Go Shell Script AWS Azure Google Cloud IBM Cloud Docker Kubernetes Ansible Terraform GitHub Actions Jenkins Prometheus Grafana ELK Stack Splunk AppDynamics Dynatrace Apache Spark Databricks Nexus SonarQube JFrog Artifactory

πŸ“ Certifications

  • SAFe
  • CKA
  • CKAD
  • CKS

πŸ“ˆ GitHub Stats

Richie's GitHub Stats Richie's Streak Stats Contribution Snake Animation

πŸ† GitHub Trophies

Richie's GitHub Trophies

πŸš€ About Me

  • 🌱 Current Role: Head of DevOps, Engineering Manager at Avesha Systems
  • πŸ› οΈ Experience: Over 10 years in DevOps, Cloud Engineering, and Infrastructure Automation with a proven track record managing large-scale cloud deployments.
  • πŸ—οΈ Passionate about building robust CI/CD pipelines, multi-cloud architectures, and fully automated infrastructure for efficiency and scalability.
  • 🌐 Specializations:
    • Multi-cloud deployments across AWS AWS, Azure Azure, GCP GCP, IBM Cloud IBM Cloud, and on-premise environments like Vsphere and Phoenix-Nap for high-performance computing.
  • πŸ” Focus Areas: Security, performance, and scalability in cloud and DevOps solutions, with expertise in Infrastructure as Code (IaC), Cloud Security, and Compliance.
  • πŸ§‘β€πŸ€β€πŸ§‘ Leadership: Skilled in team building and mentoring, with hands-on experience managing teams to implement DevOps best practices and scalable infrastructure solutions across multi-cloud environments.

πŸ“ˆ Core Technologies

  • Cloud Platforms: AWS Azure GCP IBM Cloud

  • CI/CD & Automation: GitHub Actions Jenkins Ansible Terraform

  • Monitoring & Logging: Prometheus Grafana ELK Stack Splunk


πŸ“‚ Key Projects & Contributions

🌐 Multi-Cloud Infrastructure Automation

  • πŸš€ Designed and implemented infrastructure automation for AWS AWS, Azure Azure, GCP GCP, and IBM Cloud IBM Cloud.
  • πŸ”§ Automated deployment workflows with Ansible Ansible scripts, reducing manual effort across platforms and ensuring consistent multi-cloud Kubernetes deployments.
  • πŸ“œ Leveraged Terraform Terraform and CloudFormation to streamline provisioning and Infrastructure as Code (IaC).

βš™οΈ End-to-End CI/CD Pipeline Development

  • πŸ› οΈ Developed automated CI/CD pipelines using GitHub Actions GitHub Actions, Jenkins Jenkins, and Terragrunt for Kubernetes deployments.
  • πŸ§ͺ Integrated Ginkgo for automated testing, enabling continuous deployment with high reliability and faster release cycles.
  • πŸ—‚οΈ Built enterprise-level workflows with Nexus for artifact management, SonarQube for code quality checks, and JFrog Artifactory for secure storage.

πŸ” Monitoring, Logging, and Observability

  • πŸ“ˆ Developed monitoring and logging solutions with Prometheus Prometheus, Grafana Grafana, ELK Stack, and Splunk Splunk.
  • πŸ” Enhanced observability using AppDynamics and Dynatrace for real-time application monitoring, supporting proactive troubleshooting and performance optimization.
  • 🚨 Established alerting mechanisms for rapid incident response, improving uptime across multi-cloud environments.

🧩 Big Data & Data Engineering Solutions

  • πŸ’Ύ Architected big data solutions using Azure HD Insights Azure HD Insights, Azure Data Factory, and Apache Spark Apache Spark.
  • πŸ“Š Managed end-to-end data ingestion pipelines, utilizing Azure Databricks for data processing and transforming unstructured data into actionable insights.
  • 🏞️ Developed data lakes with Azure Storage for efficient storage and analysis, handling structured/unstructured data with Apache Kafka and Zookeeper for real-time streaming.

πŸ” Cloud Security & Compliance

  • πŸ”’ Applied best practices in cloud security, including IAM configurations, VPC setups, and GuardDuty for security monitoring across AWS environments.
  • πŸ’Έ Established Cloud FinOps strategies to optimize costs while ensuring performance and scalability.
  • πŸ”‘ Configured Azure Key Vault, AWS KMS, and IAM Policies for data security and access control, ensuring compliance with industry standards.

πŸ’» Open Source Contributions


  • 🌐 Active Contributor: I’m an active open-source contributor, particularly within the Kubernetes ecosystem.
  • πŸ”§ Project Management: I manage and contribute to the KubeSlice project, a CNCF-certified sandbox project that facilitates multi-cluster Kubernetes networking for secure, efficient communication across clusters.
  • πŸŽ“ Community Engagement: Hosted a hands-on KubeSlice workshop at Kubernetes Community Days (KCD) Pune 2024, showcasing KubeSlice's applications in multi-cluster networking.
  • πŸ› οΈ Key Contributions:
    • GitOps Automation: Developed a GitOps approach using Ansible to automate KubeSlice deployments.
    • Pipeline Management: Led core build and release pipelines to streamline development and enhance deployment efficiency.
    • CNCF Compliance: Actively engaged in the CNCF Sandbox Certification Process, ensuring adherence to CNCF standards.

Kubernetes CNCF Ansible

πŸ“« Let's Connect!


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Thanks for visiting my profile! Let’s connect and collaborate on new ideas and projects. 😊

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  1. kubeslice-ent/egs-installation kubeslice-ent/egs-installation Public

    egs-installation-guide

    Shell 2

  2. richiesebastian richiesebastian Public

    DevOps Architect | Cloud Enthusiast | Open Source Contributor

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  3. kubeslice/kubeslice kubeslice/kubeslice Public

    Multi-Cloud, Multi-Cluster Service Connectivity with Application Slices.

    Mustache 160 18