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The client is a leading AI platform provider delivering intelligent, data-driven solutions across industries. With a strong emphasis on automation and scalability, the client manages complex applications across a multi-cloud environment. To support rapid development and deployment of AI models, their infrastructure demands high efficiency, reliability, and agility. Facing challenges with their existing deployment setup using Spinnaker, they partnered with Codvo.ai to modernize their continuous delivery processes and enhance operational performance through a more streamlined, cost-effective solution.
The client was facing a challenge with their multi-cloud continuous delivery platform, Spinnaker, which required significant infrastructure resources, leading to increased infrastructure management costs. Maintaining and setting up multiple clusters in Azure was complex and time-consuming, leading to a delay in the deployment process.
Moreover, using Spinnaker made it difficult for the client to have visibility into their deployments and quickly deploy or rollback, which impacted their efficiency. The client needed a solution that would streamline their deployment process, provide better visibility into deployments, and reduce infrastructure costs.
Our team suggested the adoption of ArgoCD, a lightweight and declarative GitOps-based tool suitable for cluster-only deployments. We syncedArgoCD with Azure Kubernetes, Azure Container Registry, and Azure Monitor to streamline the deployment process.
This approach ensured that the desired application state was maintained across all clusters, reducing potential errors and inconsistencies in the deployment process. ArgoCD allows for direct deployment and management of charts from GitHub, providing better visibility into deployments. Its CLI and UI options facilitated quick deployments and rollbacks, further streamlining the process.
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We used Github, Jenkins, ArgoCD, Azure Kubernetes, Azure MySQL, Azure Container Registry, and Azure Monitor to provide the solution.
-After adopting ArgoCD, our client was able to deploy and manage charts directly from GitHub, which provided more visibility into deployments.
-The use of Git as a source of truth ensured that the desired state of the application was maintained across all clusters, reducing potential errors and inconsistencies.
-ArgoCD's CLI and UI options allowed for quick deployments and rollbacks, further streamlining the deployment process.
-The adoption of ArgoCD proved to be a successful solution for our client's deployment needs, leading to significant cost savings in infrastructure management and improved deployment efficiency.
