AI tools for managing and optimizing cloud infrastructure and resources.
Infrastructure designed for deploying and running AI models.
AI-optimized platforms for cloud computing (AWS, GCP, Azure, etc.).
AI tools for managing and optimizing cloud infrastructure.
Tools for optimizing computational resources and performance.
Platforms and tools for CI/CD pipelines and DevOps practices.
Tools that automate infrastructure provisioning and management.
Tools for managing, versioning, and deploying AI models.
AI-powered tools for managing and optimizing networks.
Tools and platforms for scaling applications to handle growth.
AI-enhanced tools for serverless application deployment and management.
AI tools for virtual machine and container orchestration.
Command-line interface with GitHub Copilot integration that provides command suggestions and explanations directly in the terminal.
Command-line productivity tool that generates shell commands, code snippets, and documentation without needing external resources.
Microsoft's comprehensive suite of AI services including computer vision, speech, language, search, and Azure OpenAI for building intelligent applications.
AI-powered observability platform with specialized capabilities for performance monitoring, security, and cost tracking.
Cloud-native analytics platform with machine learning for fast troubleshooting and investigation of log data.
Monitoring and analytics platform with AI capabilities for observability, anomaly detection, and LLM performance monitoring.
Intelligent assistant designed to help users create and optimize Splunk searches and analytics.
AI-powered observability platform that helps instrument systems, find and fix issues, and get insights fast.
Cloud-native relational database with AI-powered performance optimization and integration with Amazon Bedrock for generative AI applications.
Self-driving database that uses machine learning for automated management and built-in AI capabilities for developing scalable AI-powered applications.
