Transitioning from SSH to REST-based job submission changes the behavior of the data pipeline at the architectural level. This is about manageability, fault tolerance, and resource control. The problem does not manifest immediately — until the system hits a scale limit. In this case, over 700 jobs were executed via SSH to EMR clusters. This … Read more
WebRTC routing is becoming critical for voice AI, where audio stream continuity and minimal latency are essential. We analyze how the reworking of routing changes system behavior under load. The problem does not manifest immediately — until the moment the system scales to global real-time traffic. In the classic WebRTC model of “one port per … Read more
GKE Agent Sandbox and hypercluster: how Kubernetes becomes a runtime for AI agents and addresses isolation, scale, and latency.
Multitenant GPU isolation in AI infrastructure: how to balance performance, security, and utilization across hardware, fabric, and orchestration layers.
XtraBackup parallel prepare accelerates incremental backup up to 40x. Analysis of architecture, IOPS, and trade-offs when configuring – parallel.
Observability CLI with Grafana gcx provides agents access to production data and reduces MTTR without context switching.
How Vercel Security Checkpoint works and what limitations edge verifications have without complete telemetry and architectural data.
AI compute infrastructure as the foundation for scaling models. An analysis of Stargate, architecture, partnerships, and growth constraints.
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: why Jobs and Vault change the model of isolation, secrets, and trust in dynamic workloads.
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