Amazon Elastic Compute Cloud (EC2)
Reduce hundreds of manual procedures by utilizing JFrog and AWS’s EC2 Quick Start. This expedited deployment uses AWS’s best practices for high-availability and security. With an estimated 30 minutes for deployment you can have Artifactory working for your organization faster than installing an on-prem instance. Amazon EC2, along with Amazon Simple Storage Service (S3) and Amazon Relational Database Service (RDS), form the foundation for the deployment. By using Amazon S3 for storing artifacts and Amazon RDS for storing the configuration, Artifactory can be completely redeployed, scaled up, or scaled down, as needed.
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Amazon Elastic Container Service (ECS)
JFrog’s products seamlessly integrate with AWS services. Amazon ECS, along with Amazon S3 and Amazon RDS, comprise the deployment. By using Amazon S3 and Amazon RDS as persistent storage for artifacts and the configuration, respectively, Artifactory can be completely redeployed, scaled up, or scaled down, depending on your requirements. Utilize AWS QuickStarts and AWS services to help you automatically install Artifactory on the AWS Cloud.
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AWS Lambda
One of the critical steps in creating Lambda serverless applications is packaging the serverless functions you want to deploy. Any serverless application you create still requires you to consider dependencies and builds. JFrog Artifactory assists you to manage those through proxy repositories for dependencies that present a speedy cache and help assure you are always building with the version you expect.
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Amazon Elastic Kubernetes Service (EKS)
Use JFrog and AWS together for your cloud journey, giving you the best of both. JFrog and AWS’s EKS Quick Start expedited deployment utilizes AWS’s best practices for high-availability and security. With an estimated 45 minutes of deployment you can have Artifactory working for your organization faster than installing an on-prem instance. Amazon EKS, along with Amazon S3 and Amazon RDS, forms the foundation for the deployment. By using Amazon S3 and Amazon RDS as persistent storage for artifacts and the configuration, respectively, Artifactory can be completely redeployed, scaled up, or scaled down, depending on your needs.
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AWS Outposts
AWS Outposts bring the same AWS infrastructure, services, APIs, and tools to your physical data-center as a fully managed service. This offers a consistent hybrid experience, enabling you to keep workloads on premises for low latency, local data residency, and local system interdependencies. Artifactory and Xray are AWS native, installing them in AWS Outposts is no different from a self-hosted install on AWS in the cloud. You can (and should) make use of the AWS services that you already know. AWS Outposts and JFrog allow you to run your applications where you need them most.
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AWS Fargate
Deploy your containers on AWS Fargate, a serverless compute engine for containers. Store your container images in JFrog Artifactory as the single source of truth for your container images. JFrog Artifactory’s integration with AWS Fargate allows teams to manage multiple binary artifacts in one place without having to worry about hardware to develop applications.
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AWS PrivateLink
With JFrog and AWS PrivateLink you can now allow direct, secure private connectivity between VPC’s, AWS Services and your on-premise networks without exposing your traffic to the public internet. Simplify your cloud migration from on-premise to SaaS while protecting your data from the internet by establishing a secure network connection from your own cloud environment (AWS VPC) to your JFrog Cloud (SaaS) instance
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AWS Security Hub
AWS Security Hub is the cloud security posture management service available to AWS users. It provides central security administration across AWS accounts, performing security best practice checks, aggregating alerts, and enabling automated remediation. AWS customers can bring alerts from JFrog Xray’s universal software composition analysis (SCA) into AWS Security Hub, to collect, analyze and respond to license policy violations and security vulnerabilities. This enables you to integrate Xray’s vigilance against threats into your overall cloud security posture.
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Amazon SageMaker
Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. The JFrog integration with Amazon SageMaker, available now for JFrog customers and Amazon SageMaker users, ensures all artifacts consumed by data scientists or used to develop ML applications are pulled from and saved in JFrog Artifactory.
By pairing JFrog Artifactory with Amazon SageMaker, ML models can be delivered alongside all other software development components in a modern DevSecOps workflow, making each model immutable, traceable, secure, and validated as it matures for release.
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