Technical insights & deep-dives
Architecture analysis, practical guidance, and lessons from enterprise IT practice. Topics span Cloud, Kubernetes, Observability, GitOps, and AI Integration.
All articles
GitOps & CI/CD
ArgoCD in Production: Lessons from Enterprise GitOps
April 13, 2026 · Dalibor Labudovic · 3 min read
ArgoCD is easy to install and hard to run well in production. Here are the architectural decisions, operational patterns, and lessons from enterprise GitOps deployments that make the difference between a reliable platform and a deployment liability.
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Observability & SRE
Incident Response at Scale: Building a Mature SRE Practice
April 8, 2026 · Dalibor Labudovic · 3 min read
Incident response at scale requires more than runbooks and alerting. Here is the organisational structure, severity framework, and post-mortem culture that separates teams that learn from incidents from teams that repeat them.
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AI & MLOps
The Modern Engineering Leader’s Tech Stack in 2026
April 8, 2026 · Dalibor Labudovic · 8 min read
The technology stack of an effective engineering leader in 2026 spans AI tools, cloud-native platforms, delivery automation, and data intelligence. Here is what each layer demands and what leaders need to understand to lead it effectively.
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Cloud Architecture
Multi-AZ Architecture: When It’s Worth It and When It’s Not
April 8, 2026 · Dalibor Labudovic · 7 min read
Multi-AZ is the right default for many workloads — but applying it indiscriminately adds significant cost for availability guarantees many workloads do not need. Here is the decision framework for making the call correctly.
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AI & MLOps
MLOps and Scalable Infrastructure: The Importance of Just-in-Time Compute for Your Business
April 7, 2026 · Dalibor Labudovic · 8 min read
Most enterprises are either over-provisioning compute and burning budget, or under-provisioning and stalling model delivery. Just-in-time compute is the architectural pattern that resolves both.
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