What makes Cognitora different from AWS or GCP?
Cognitora is designed exclusively for AI agents with high-performance infrastructure. We offer sub-second provisioning with Firecracker microVMs, millisecond-precision billing, comprehensive SDK integrations, and agent-native APIs that eliminate complex infrastructure management. Our autonomous approach enables optimal resource allocation.
What SDKs and programming languages are supported?
Cognitora provides professional-grade SDKs for Python and JavaScript/TypeScript with async support, comprehensive error handling, and automatic retry mechanisms. We also support REST API, gRPC, WebSocket, A2A protocols, and MCP (Model Context Protocol) for seamless integration.
What are the technical specifications of Cognitora's microVMs?
Our microVMs are built on Cloud Hypevisor with Kata Containers for hardware-level isolation. Each VM boots in under 150ms with our proprietary checkpointing technology that enables 500ms resume times and <1 second cloning. We support configurable CPU (1-16 cores), memory (1GB-32GB), and persistent storage with automatic scaling based on workload demands.
What security measures are implemented for large-scale workloads?
Cognitora implements multiple security layers: hardware-level isolation with Kata Containers microVMs, encrypted storage and network traffic (AES-256), zero-trust network architecture, compliance with SOC 2 Type II and ISO 27001 standards, and comprehensive audit logging. Each agent runs in completely isolated environments with no shared resources.
What programming environments and tools are pre-installed?
Each microVM comes with Python 3.8-3.11, Node.js 16-20, Go 1.19+, Rust, and common development tools. We provide pre-configured templates for data science (pandas, numpy, scipy), web development (frameworks), and AI/ML workloads (TensorFlow, PyTorch, Transformers). Custom environments can be configured via Docker or our template system.
How does integration with LangChain and other frameworks work?
Cognitora provides native tools and plugins for LangChain, AutoGPT, CrewAI, and custom frameworks. Our LangChain integration includes secure code execution tools, document processing utilities, and multi-agent coordination primitives. Framework-specific SDKs handle authentication, resource management, and error handling automatically.
What monitoring and observability features are available?
Comprehensive monitoring includes real-time metrics dashboards, distributed tracing, structured logging, and custom alerting. We provide detailed analytics on resource utilization, cost optimization recommendations, performance bottlenecks, and security audit trails. Integration with external monitoring tools (Prometheus, Grafana, DataDog) is supported via standard APIs.
How do I get started with Cognitora?
Sign up for a business account, receive your API credentials, and use our SDKs to start provisioning resources. We provide comprehensive documentation, framework integration guides, and dedicated onboarding for business customers with architectural consultation.