AI compute infrastructure Stargate how to scale 10GW
AI compute infrastructure as the foundation for scaling models. An analysis of Stargate, architecture, partnerships, and growth constraints.
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.
HSM vault for E2E backup without trust in the platform
HSM backup vault enhances end-to-end encryption for backups. The architecture eliminates platform access to keys and introduces verifiable trust. The problem arises when backups leave the device and enter the cloud. Even with end-to-end encryption, the question remains: who controls the recovery keys and how can it be proven that the provider does not have … Read more
Security of AI Agents in Kubernetes through Jobs
Security of AI agents in Kubernetes: why Jobs and Vault change the model of isolation, secrets, and trust in dynamic workloads.
BYOC Logs: Scalable Log Storage
BYOC Logs are transforming log management: storing data in your own infrastructure while enabling unified observability without sacrificing control or scalability
KV cache restoration acceleration through 3D parallelism
KV cache restoration in LLM serving: how 3D parallelism reduces TTFT and eliminates bottlenecks in compute and I/O. –>
Grafana observability dashboards: flexible customization
Grafana observability dashboards: how to configure services and perform drill-down analysis without leaving the application, while reducing observability fragmentation
Adaptive microservice management under dynamics
Adaptive microservice management in cloud-native systems: how load dynamics, network, and dependencies affect autoscaling and management architecture
SFC for split learning reduces latency
How optimizing split learning through SFC reduces latency in distributed AI by jointly managing placement and routing
Distributed systems trade-offs without cloud illusions
Distributed systems trade-offs in real-world architecture: how the cloud changes scaling, and why replication matters more than sharding
ThecoreGrid Radar: Trends in distributed systems, blockchain, and network optimization
A selection of architectural insights and releases we read this week Infrastructure 🔹 DataCenterGym: A physics-informed simulator for multi-objective data center scheduling. The tool allows modeling and optimizing resource allocation in data centers, taking into account physical constraints and multiple objectives, significantly improving management efficiency. Read the release 🔹 Spot-and-Scoot: Investigating spot instance availability. A methodology … Read more