Deploy containerized applications with orchestration and auto-scaling. Run serverless functions with pay-per-use pricing and automatic resource management.
Enterprise container orchestration for deploying, scaling, and managing containerized applications. Built on industry-standard platforms with automated deployment pipelines.
Automated container scheduling, health monitoring, and self-healing. Deploy multi-container applications with service discovery and load balancing.
Horizontal pod autoscaling based on CPU, memory, or custom metrics. Scale from zero to hundreds of instances automatically.
Connect your build pipelines for automated deployments. Rolling updates, canary deployments, and instant rollbacks supported.
Execute code in response to events without managing servers. Pay only for actual compute time with automatic scaling from zero to production load.
Trigger functions from HTTP requests, scheduled tasks, or message queues. Chain functions together for complex workflows.
Run code in Python, Node.js, Go, or custom runtimes. Bring your own dependencies and libraries.
Pay per invocation and compute time. No charges when functions aren't running. Predictable costs that scale with usage.
Store container images in a secure private registry. Image scanning and vulnerability detection included.
Attach persistent volumes to containers. Shared storage for multi-pod applications and stateful workloads.
Secure storage for API keys, passwords, and certificates. Inject secrets into containers at runtime.
Advanced traffic management, load balancing, and service-to-service authentication for microservices.
Centralized log aggregation and metrics collection. Integrate with external monitoring platforms.
Define network rules between containers and external services. Micro-segmentation for security.
Deploy and manage distributed applications built as microservices. Independent scaling and deployment for each service.
Run scalable API servers with automatic load balancing. Handle traffic spikes without manual intervention.
Execute scheduled jobs and data processing tasks. Serverless functions ideal for periodic workloads.
React to webhooks, queue messages, and real-time events. Process data streams with automatic parallelization.
Contact us to discuss your application architecture.
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