How to self-host ML infrastructure with automated security and scalability best practices

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StarOps

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StarOps is an AI-native platform that lets you deploy and manage production infrastructure, like models, databases, and networks, without a dedicated platform team. Powered by customizable workflows and a fleet of agents, StarOps helps developers and ML engineers self-host their AI/ML/GenAI stacks with built-in best practices for security, observability, and scalability.

Developer ToolDevOps toolMLOps toolKubernetesCloud-native stackScalingCI/CDIaCGitOpsKServe

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What to expect from an ideal product

1. StarOps deploys your ML models with automatic security configurations and access controls, removing the need to manually set up firewalls, encryption, and authentication systems
2. The platform scales your infrastructure up or down based on traffic demands without you having to monitor server loads or provision new resources manually
3. Built-in agents handle routine maintenance tasks like security patches, backup scheduling, and performance optimization so your models stay secure and fast
4. You can deploy complete ML stacks including databases and networking components through simple workflows instead of writing complex deployment scripts
5. The system automatically implements industry-standard practices for logging, monitoring, and compliance without requiring specialized DevOps knowledge