Konstantinos Tsekas

– Independent cloud consultancy delivering end-to-end DevOps solutions across AWS, GCP, and Azure. – Multi-cloud infrastructure design, automation, and platform engineering – Kubernetes cluster management, GitOps adoption, and Observability stack implementation – MLOps proof-of-concept development: model registries, ML CI/CD pipelines, and automated inference -workflows – DevSecOps practices, cloud security assessments, and IaC with Terraform and Ansible

– Specialising in administering Kubernetes super clusters and virtual clusters (vclusters) for both internal and external tenants. My role involves managing and optimizing these complex environments to ensure scalable, efficient, and reliable application deployments.

– Provided DevOps support in cloud migration projects, ensuring efficient migration to cloud minimizing downtime and enhancing operational efficiency. – Conducted detailed cloud assessments to determine infrastructure and application cloud readiness. – Performed optimization and licensing assessments to enhance cost efficiency and compliance. – Calculated Total Cost of Ownership (TCO) for cloud services, aiding in financial analysis and budgeting. – Carried out Well-Architected Reviews to identify and remediate issues, improving system reliability and performance. – Spearheaded cloud transformation initiatives, strategically aligning cloud technologies with business objectives. – Delivered expert cloud consultancy, advising on strategic approaches and best practices in cloud adoption. – Evaluated landing zone and account security, ensuring robust security postures in cloud environments. – Administered Kubernetes environments, managing container orchestration for improved application deployment. – Developed comprehensive business cases for cloud initiatives, demonstrating value and driving decision-making. – Established and led a Cloud Center of Excellence, promoting cloud best practices and fostering innovation across teams. – Managed diverse projects, coordinating cross-functional teams to achieve project milestones and deliverables. – Designed and facilitated workshops on Cloud and DevOps concepts, advancing team competencies in cutting-edge technologies.

– Technologies Involved: AWS, Terraform, Ansible, Cloudformation, Python, CI/CD, Git, Helm charts, ArgoCD, Pipelines, Jira. – Collaborated with multiple development teams to streamline and automate operational processes. – Utilized Terraform to design and manage cloud infrastructure as code, enhancing scalability and - reproducibility. – Implemented Ansible for configuration management, ensuring consistent deployment environments across multiple projects. – Developed custom automation scripts in Python to increase efficiency in build and deployment workflows. – Engineered robust CI/CD pipelines, integrating code compilation, testing, and deployment into a seamless process. – Led the adoption of infrastructure as code (IaC) practices, significantly reducing manual configuration errors and downtime. – Provided technical guidance and support to development teams on best practices in DevOps methodologies. – Conducted regular code reviews and system optimizations to ensure performance and security standards were met. – Monitored and evaluated automated systems performance metrics to identify and resolve potential issues proactively.

– Projects: – 1. ALADDIN - Advanced holistic Adverse Drone Detection, Identification & Neutralization – 2. ISOMETRIC - Intelligent System of Outpatient Monitoring Evaluation Towards Rehabilitation In Cloud – Interpret data, analyse results using statistical techniques and provide ongoing reports. – Responsible for the integration procedures of the projects. – Develop real-time Monitoring Tool for all the metrics and Geo-location info for the ALADDIN project – Data collection, cleaning and analysis (Qualitative & Quantitative research). – Find correlations between data from different sources. – Identify, analyze, and interpret trends or patterns in complex data sets. – Provide quality assurance of imported data. – Commissioning and decommissioning of data sets. – Locate and define new process improvement opportunities.

– Applying operating system updates, configuration changes and data backup. – Created Automation and Monitoring scripts (python). – Troubleshooting any reported problems. – Analyzing system logs and identifying potential issues in the infrastructure. – System performance tuning and optimization.