Anand Patil
Architect - Technology
Actions
Technology Architect and DevOps Specialist with 15+ years of experience in designing and implementing technology solutions across multi-cloud environments, Kubernetes, Istio, CI/CD pipelines, and GitOps practices. Proven expertise in enabling engineering teams with cutting-edge tools through innovative POCs and MVPs. A recognized Continuous Delivery Foundation (CDF) and DevOps Institute Ambassador, contributing to global DevOps communities.
CI/CD Best Practices:Enhancing API Proxy Deployments Across Multi-Cloud Environments
This proposal aims to streamline the deployment and management of API proxies in multi-cloud environments using modern CI/CD practices. With organizations increasingly adopting multi-cloud strategies to optimize costs, ensure redundancy, and leverage specific cloud provider features, a standardized CI/CD pipeline for deploying API proxies across AWS, Azure, and Google Cloud is critical. The proposed solution focuses on automating deployments, ensuring consistent configurations, and integrating observability and security features across multiple clouds.
Streamline API deployments with GitHub Actions: Automate, test, and observe effortlessly.
In this session, we will explore how to automate and optimize your Apigee proxy deployments using a robust GitHub Actions workflow. We'll walk through a comprehensive CI/CD pipeline that includes input validation, environment configuration, proxy bundling, deployment to multiple environments, revision management, and more. Attendees will learn best practices for structuring deployment workflows, handling environment-specific configurations, and implementing advanced features like deployment approval gates and automated cleanup of old revisions. We'll also discuss strategies for monitoring and troubleshooting deployments directly within the GitHub UI. By the end of this session, you'll have a solid understanding of how to leverage GitHub Actions to streamline your Apigee development lifecycle and ensure reliable, efficient deployments at scale.
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