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 AWS Firecracker 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.
How does the pricing model work in detail?
Cognitora uses millisecond-precision billing that charges only for actual compute time used. Pricing starts at $0.001 per compute minute with automatic scaling discounts. Storage is billed at $0.10/GB/month for persistent data, and data transfer is free within the same region. Business plans include volume discounts and dedicated resource pools.
What security measures are implemented for large-scale workloads?
Cognitora implements multiple security layers: hardware-level isolation with Firecracker 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.
How does checkpoint and resumption technology work?
Our proprietary checkpoint technology captures the complete state of a running VM including memory, CPU registers, and file system changes. This enables instant pause/resume functionality with 500ms restoration times and sub-second VM cloning for horizontal scaling. Checkpoints are compressed and stored with delta compression for efficiency.
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 A2A (Agent-to-Agent) communication work?
A2A protocol enables direct communication between agents using encrypted WebSocket connections with automatic discovery and load balancing. Agents can share resources, coordinate tasks, and execute distributed workflows. The protocol supports message queuing, broadcast messaging, and state synchronization with built-in retry mechanisms and failure handling.
What are the performance characteristics and SLAs?
Cognitora guarantees 99.9% uptime with sub-150ms VM provisioning, 500ms checkpoint restoration, and <10ms network latency within regions. Our auto-scaling handles traffic spikes up to 10,000 concurrent VMs per account with predictive scaling algorithms. Performance monitoring includes real-time metrics for CPU, memory, network, and storage utilization.
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.