SageMaker AI Accelerates ML Pipeline for Edge Robots
How an ML pipeline based on Amazon SageMaker accelerates training and reduces labeling costs in edge robots and distributed systems
Cloud-Native
Cloud-Native on ThecoreGrid explores how to design, run, and scale resilient systems built for dynamic cloud environments.
We cover practical architecture patterns around containers, Kubernetes, service discovery, configuration management, autoscaling, and immutable infrastructure. The focus is on production realities: multi-cluster operations, reliability under failure, cost control, observability, and secure workload isolation. You’ll find deep technical analysis of platform engineering, GitOps, Infrastructure as Code, traffic management, rollout strategies, and day-2 operations in highload systems. Instead of basic tutorials, we break down trade-offs between portability and provider-native services, speed and governance, flexibility and operational complexity. Content is curated from BigTech practices, real incident post-mortems, and hard lessons from cloud migrations at scale. The Cloud-Native tag is built for architects, platform and backend engineers, DevOps teams, and SREs who need robust, maintainable, and scalable cloud infrastructure for mission-critical products.
Hybrid fronthaul planning in O-RAN networks
Hybrid fronthaul planning in O-RAN: how to reduce TCO and ensure capacity in CF-mMIMO through a combination of fiber, mmWave, and FSO.
Platform engineering with Policy as Code without friction
Platform engineering with Policy as Code: how to embed governance in CI/CD and mitigate risks through CAPOC and automated policies.
Piracy Shield Breaks the Network Model Through Uncontrolled Blocking
The Italian blocking scheme Piracy Shield puts providers in a position to choose: violate network architecture or face fines. The conflict illustrates where regulation begins to influence infrastructure behavior.
Edge AI on Kubernetes without Loss of Consistency
Edge AI Kubernetes as a unified platform: how to scale the edge without fragmentation and maintain control over distributed infrastructure.
Hugging Face inference selection for agent systems
Hugging Face inference as a fallback for agent systems: hosted vs local, trade-offs, architecture, and deployment via llama.cpp.
Mid-path Network Analysis through A/B Route Comparison
Mid-path network analysis through A/B comparison reveals bottlenecks in interconnection, hidden behind traditional metrics of latency and throughput.
OpenShift Virtualization 4.21 Enhances VM Management
OpenShift Virtualization 4.21: how to simplify VM management and reduce complexity in hybrid cloud
Latency-aware proxy vs DNS: how to balance S3 load
DNS round-robin stops working under load when clients start caching responses. Agoda faced this issue at the object storage level and moved the balancing to a separate layer. The problem manifested during the increase in data workloads. S3-compatible endpoints used DNS round-robin to distribute traffic. In practice, clients cached DNS responses and continued to hit … Read more
Granular data residency at the edge without sacrificing global network
Cloudflare adds Custom Regions to align global edge with local restrictions. This is a response to compliance pressures that are beginning to impact routing architecture. The problem arises when the global edge model encounters data localization requirements. Cloudflare’s architecture, by default, optimizes latency through the nearest data center. However, once requirements emerge to keep TLS … Read more