Run Complex Distributed Systems with Confidence and Control
OasisEdge Solutions’ Cloud-Native Scheduling & Observability solutions help enterprises operate microservices and serverless architectures with stability, transparency, and efficiency. By unifying service scheduling, full-link tracing, and observability across metrics, logs, and traces, our platforms provide complete visibility from user requests to infrastructure resources.
Designed for hybrid and large-scale cloud environments, the solution enables proactive performance management, intelligent capacity planning, and faster root-cause analysis—empowering engineering and operations teams to improve reliability, control costs, and scale systems with confidence.
Applicable Scenarios
- Cloud-native migration and distributed system governance
- Hybrid architectures combining microservices and serverless workloads
- SRE and operations enablement, including tracing, alerting, and capacity planning
- Performance optimization and cloud cost management
Platform Capabilities
Microservices + Serverless Unified Scheduling &
Full-Link Tracing
Unified orchestration and observability for hybrid architectures, enabling automated scaling, end-to-end tracing, and performance analysis.
Cloud-Native Scheduling
& Tracing Analytics
Platform
Built on cloud-native stacks (containers, Kubernetes, service mesh) to support intelligent scheduling and unified analysis of traces, metrics, and logs.
Collaborative Microservices–Serverless Scheduling & Tracing
Cross-domain tracing that connects microservices and functions, providing dependency topology, slow-call diagnosis, and reliability governance.
Distributed Service Scheduling & Tracing Monitoring
End-to-end service discovery, scheduling strategies, tracing, and alerting to support high availability in complex distributed systems.
Intelligent Scheduling
&
Elasticity Optimization
Adaptive scheduling and elasticity recommendations based on real-time load, latency, error rates, and cost signals.
Key Features
- Service scheduling: canary and gradual rollout, traffic governance, circuit breaking, rate limiting, elastic scaling
- Full-link tracing: request-level tracing, dependency topology, performance bottleneck identification
- Unified observability: metrics, logs, and traces in a single platform
- Reliability governance: SLA/SLO management, capacity evaluation, root-cause analysis, automated remediation
- Cost optimization: resource utilization analysis, hot/cold tiering, scheduling and cost dashboards