How it works
StarOps operates as an AI control plane that integrates with your existing cloud infrastructure and DevOps tools (AWS, GCP, Kubernetes, Terraform, GitHub, etc.). It uses "OneShots" and "DeepOps agents" to interpret natural language prompts for deploying applications and infrastructure. These agents also provide assistance for troubleshooting by collecting logs, metrics, and events across your entire stack. The platform supports agentic troubleshooting, helping identify and resolve issues faster by providing insights and recommendations. Users can connect their cloud accounts, starting with read-only access for safety, and then upgrade to read/write capabilities for Infrastructure as Code (IaC) generation with human-in-the-loop approvals.
Why use it
StarOps is ideal for modern platform engineering teams looking to enhance efficiency and reduce operational overhead. It eliminates the need for manual command-line operations (like kubectl or helm) by automating complex tasks through AI-powered prompts. The platform ensures vendor-agnostic integration, meaning it works with your existing tools without lock-in. Key benefits include significantly reduced time to resolution for incidents, streamlined deployment of AI/ML models, simplified cloud operations, and easier Kubernetes management. By automating repetitive and error-prone tasks, StarOps allows engineers to focus on innovation and strategic projects, leading to substantial time and cost savings.