Distributed inference simulation without discrepancies
Distributed inference simulation with Uniference: how DES bridges the gap between modeling and deploying AI systems.
Infrastructure
Infrastructure on ThecoreGrid covers the design, operation, and evolution of the foundational systems that power modern software at scale.
We explore compute, networking, and storage layers, along with virtualization, containers, and cloud platforms in highload environments. The focus is on production-grade engineering: reliability, fault tolerance, capacity planning, cost efficiency, and secure system design. Topics include Infrastructure as Code, automation, provisioning, multi-region setups, traffic routing, and failure recovery. We analyze real-world trade-offs and operational challenges, supported by BigTech practices, incident post-mortems, and lessons from large-scale infrastructure failures. You’ll find deep dives into observability, performance tuning, and platform reliability under dynamic workloads. Instead of basic setup guides, the Infrastructure tag delivers practical insights for platform engineers, DevOps teams, SREs, and architects responsible for building and maintaining robust, scalable, and efficient infrastructure systems.
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
Leak through CMS and a new class of models: how Anthropic faced a dual risk
Draft materials about the new AI model became publicly accessible due to a CMS configuration error. The incident highlighted two things simultaneously: the fragility of content pipelines and the increasing risks posed by the models themselves.
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
Decomposing round-trip latency: how to separate database delays from network and middleware overhead
Request timeouts do not always indicate a problem in the database. Often, degradation is hidden in the path between the application and the DB. The problem manifests when database metrics appear stable, but clients experience timeouts. At the observation level, this looks like a contradiction: latency increases while database time remains the same. The reason … Read more
Kubescape 4.0: Transition to CEL Detection and Abandonment of Host-Level Agents
In Kubescape 4.0, the focus shifts from reactive security to proactive security. The main changes include runtime detection, a redesign of the agent model, and the extraction of security data from etcd. The problem manifests at scale. As the cluster grows, security begins to compete for resources with the control plane itself. Storing security metadata … Read more
Kubernetes fsGroup as a Hidden Bottleneck: Accelerating Restarts through fsGroupChangePolicy
A long restart of a stateful service rarely appears to be a security configuration issue. However, this is how the safe default in Kubernetes turned into 30 minutes of downtime for each restart. The problem manifested at scale. Atlantis, which manages Terraform through GitLab MR, operates as a singleton StatefulSet and stores state in a … Read more
Reducing Friction in Agentic AI: Local Validation and Isolated Environments in AWS
AI agents are limited not by models, but by architecture. If feedback is slow, autonomy does not work. The problem manifests when an AI agent tries to close the loop of “generated → validated → corrected.” In typical cloud systems, this loop is stretched: deployment takes minutes, tests depend on resource provisioning, and errors only … Read more
Scaling Architectural Control: A Declarative Approach Instead of Manual Review
GenAI has accelerated code production, but has made consistency (alignment) a bottleneck. Manual processes can no longer keep pace, and the architecture begins to fragment. The problem does not manifest immediately — until the speed of change generation exceeds the organization’s ability to review them. Historically, control has relied on people: key experts in startups … Read more
eBPF Profiling in Go: How Symbolization via gopclntab Transforms Addresses into Functions
The profiler in kernel space only sees addresses. Useful insights emerge only after symbolization—and in Go, this stage is structured differently than in other languages. The problem arises when the profile has already been collected, but it cannot be interpreted. The eBPF profiler captures stack traces at the kernel level and obtains a set of … Read more