Cloud Infrastructure & Scalable Compute
Protecting the Systems That Power Modern Software at Scale
Cloud infrastructure is the operational backbone of today’s digital economy—underpinning everything from AI model deployment and SaaS platforms to content delivery, enterprise software, and real-time analytics. At Schmeiser Olsen, we help clients protect the core innovations behind cloud-native architectures, distributed systems, and scalable compute environments.
Our team partners with engineers and platform architects to secure patents that cover not just abstract cloud capabilities, but the underlying methods, orchestration layers, and hardware–software optimizations that make scalable systems performant, reliable, and commercially defensible.
From compute scheduling and workload partitioning to container orchestration and serverless design, we help turn platform architecture into protectable IP.
Patent Strategy for Scalable Systems and Cloud-Native Technologies
Patenting cloud infrastructure requires more than describing a system in the cloud—it demands precision around how the system achieves performance, reliability, elasticity, or cost-efficiency at scale. We work with platform teams, devops engineers, and backend architects to craft patents that reflect the real challenges of operating high-availability, high-throughput systems. We focus on protecting the mechanisms that make scale possible—not just where the code runs, but how it adapts, recovers, and scales efficiently. We help clients secure patents for innovations including:
Compute Orchestration & Resource Management
– Elastic autoscaling algorithms based on dynamic resource utilization and load patterns
– Workload-aware container placement across heterogeneous infrastructure (e.g., GPU vs. CPU pools)
– Cross-region deployment failover with latency-aware routing
– Multi-cloud orchestration frameworks with abstracted configuration pipelines
Virtualization & Serverless Architecture
– Stateless execution frameworks with cold-start mitigation
– Function-as-a-service (FaaS) scaling models with burst-optimized memory allocation
– Hypervisor or micro VM-based isolation strategies for multi-tenant performance
– Image snapshotting and caching strategies for accelerated deployment
Distributed Storage & Data Access
– Tiered storage systems with auto-promotion of hot data
– Consistency management and conflict resolution in eventually-consistent data stores
– Real-time synchronization protocols for distributed object stores
– Write-optimized distributed file systems for high-ingest workloads
Network & Edge Optimization
– Load balancing algorithms optimized for region-aware distribution and scaling thresholds
– Content delivery mechanisms using edge cache warm-up or predictive replication
– Network-aware model routing for inference across edge–cloud boundaries
– Redundancy-aware path optimization for data ingress and inter-service communication
Monitoring, Fault Tolerance & Observability
– Self-healing infrastructure with rollback-aware deployment mechanisms
– Distributed tracing protocols integrated with alerting and SLA-aware response logic
– Resource-aware health checks for transient workload classification
– Anomaly detection pipelines built into infrastructure telemetry loops
practical insight
Navigating Patent Eligibility in Cloud Infrastructure
While cloud infrastructure inventions often avoid the §101 pitfalls of abstract software, eligibility challenges can still arise—particularly for orchestration methods, automation logic, or systems that mimic human administrative behavior. We anchor our claims in system-level architecture, workload behavior, or infrastructure-specific performance improvements—ensuring they reflect real, technical advancements. Our eligibility strategies emphasize how the system:
– Reduces the overhead of provisioning and scheduling
– Improves compute density or response latency under dynamic load
– Enhances fault recovery or redundancy in complex deployment environments
– Adapts to resource constraints in real time through engineered controls
We incorporate system diagrams, flow architecture, and performance metrics to contextualize the invention and preempt common §101 objections. Our experience includes drafting and prosecuting patents for both infrastructure-first companies and application-layer platforms with proprietary backend systems.
Partner with Counsel Who Understand Cloud Infrastructure & Scalable Compute
At Schmeiser Olsen, we help platform engineers, infrastructure teams, and cloud-native companies secure strong IP around the scalable technologies that power their products. From orchestration to observability, we understand the components, tradeoffs, and architectural design choices that define real innovation in cloud computing.
Protect the systems your business depends on—with patent counsel fluent in cloud-scale engineering.
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