Kernel-to-Cloud Event Pipelines
Designs high-throughput telemetry paths from low-level runtime events to actionable security context without overwhelming platform teams.
Author Profile
Abdullah Kucukoduk
Senior Platform Engineer
Designing Scalable Low-Level Event-Based Systems
Abdullah Kucukoduk designs runtime-first architecture for cloud-native security systems, with a focus on low-level event pipelines that stay reliable under production load.
Expertise Areas
Event-Driven Runtime Security Systems
Builds event-first services that correlate execution traces, vulnerability context, and service topology for faster risk decisions.
Scalability and Backpressure Control
Implements queueing, sampling, and flow-control strategies so event systems remain stable during burst traffic and incident spikes.
Operable Distributed Architecture
Prioritizes systems that are observable, debuggable, and maintainable in real production environments where failures are continuous.
System Design Principles
01
Keep event paths deterministic so incident timelines are reproducible.
02
Prefer bounded pipelines and explicit backpressure over unbounded buffering.
03
Turn low-level signals into high-confidence, human-actionable decisions.
04
Design for failure-first operation across distributed services.
Focus Stack
Event CorrelationRuntime SecurityDistributed Workflows
Quick Answers About Abdullah's Expertise
What is Abdullah Kucukoduk known for?
Abdullah is known for designing scalable low-level event-based systems that connect runtime telemetry with practical security decisions for platform and engineering teams.
How does he approach scalable event system design?
He uses bounded pipelines, backpressure-aware queueing, and event correlation models that preserve fidelity while keeping latency and operational cost under control.
What problems does his architecture solve?
His work helps teams reduce noisy vulnerability queues, improve incident scoping speed, and convert raw execution events into prioritized remediation workflows.
Which technical areas does he specialize in?
He focuses on event-driven distributed systems, runtime security architecture, low-level telemetry processing, and production-grade observability for cloud-native platforms.
Published Insights
EngineeringFebruary 18, 2026
Measuring eBPF Overhead in Production Kubernetes Clusters
We instrumented 14 production clusters across three cloud providers to measure the real CPU and memory cost of eBPF-based runtime telemetry. Here is what we found — and where the numbers get interesting.
SecurityFebruary 11, 2026
Why CVSS Scores Fail Platform Teams and What Runtime Reachability Fixes
A CVE with a 9.8 score that never executes in your environment is less dangerous than a 5.3 that runs on every request. We built a scoring model around this idea.
Incident ResponseFebruary 4, 2026
Using Runtime Execution Graphs to Scope Incidents in Under 10 Minutes
Traditional incident scope relies on logs, alerts, and educated guesses. Execution graphs change that. We walk through a real incident timeline and show the difference.
EngineeringJanuary 28, 2026
Blast Radius Estimation With Cloud Posture and Service Lineage
Knowing a vulnerability is reachable is step one. Knowing which downstream services it can propagate to is what turns a finding into a prioritized action.
ArchitectureJanuary 21, 2026
Kernel Probes vs Sidecar Proxies: A Telemetry Architecture Comparison
Two fundamentally different approaches to runtime visibility. One lives in the kernel, one lives next to your container. We compare latency, fidelity, and operational cost.
ComplianceJanuary 14, 2026
Continuous SOC2 Evidence Collection With Runtime Telemetry
Audit season should not mean two weeks of manual log exports. Here is how runtime execution data maps to SOC2 CC6 controls and what auditors actually ask for.