
Microtica AI Incident Investigator
AI-powered DevOps platform for seamless cloud infrastructure management, deployment pipelines, real-time monitoring, and cost optimization.
About Microtica AI Incident Investigator
Microtica is an AI-driven DevOps platform that leverages intelligent agents to simplify the creation, optimization, and management of cloud infrastructure, deployment pipelines, and monitoring. It offers a unified platform for effortless deployment, proactive monitoring, and cost control of cloud-native applications. Key features include an AI Incident Investigator for root cause analysis, an AI Infrastructure Builder for managed AI infrastructure, simplified Kubernetes deployment, real-time alerts, automated pipelines, cloud performance monitoring, and cost-saving recommendations.
How to Use
Describe your infrastructure needs, and Microtica’s AI will generate optimized cloud configurations. Review and customize these setups using an integrated code editor. Alternatively, start with pre-built templates for deploying applications like Next.js websites, e-commerce stores, or Kubernetes clusters with ease.
Features
- AI-driven cost savings and optimization suggestions
- Customizable infrastructure setup with an integrated code editor
- Managed AI Infrastructure Builder for provisioning cloud resources
- Automated deployment pipelines ensuring secure code releases
- Real-time cloud performance monitoring with AI root cause analysis
- AI Incident Investigator for quick troubleshooting
- Simplified Kubernetes deployment and management
- Guided deployment workflows for AI-generated cloud environments
Use Cases
- Deploying Next.js and React.js websites on existing AWS environments
- Ensuring stability and reducing costs during business scaling
- Launching Next.js applications and e-commerce platforms
- Gaining visibility and control over complex multi-cloud architectures
- Streamlining AWS service management with user-friendly tools
- Automating infrastructure setup for startups to save time and reduce errors
- Accelerating the development of custom infrastructure components for DevOps teams
Best For
Pros
- Reduces Mean Time to Resolution (MTTR) by 60% with AI-assisted insights
- Accelerates cloud deployments by 70% using AI-generated configurations
- Enables teams to focus on product building by automating infrastructure tasks
- Supports advanced integrations like built-in Strapi support
- Decreases configuration errors by 95% with AI guidance
- Facilitates seamless cloud migrations
- Simplifies Kubernetes deployment and management
- Provides comprehensive support throughout cloud migration
- Achieves significant cost savings, such as $11K through AI recommendations
