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Handling Vulnerabilities in Production — What We Actually Do

You always have known vulnerabilities. The question is how you triage, patch, and respond. The discipline we run after a few real incidents and a lot of routine work.

DevOps Security Vulnerabilities Cve

A

AdminDevOps Engineer

|May 16, 2026

Handling Vulnerabilities in Production — What We Actually Do

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Terraform185 Monitoring171 AWS143 Kubernetes96 CI/CD83 LLM83 Python81 Linux73 GPT70 Ansible65

Latest Articles

Model Quantization Techniques: Reducing LLM Size and Cost

••9 months ago

Model Quantization Techniques: Reducing LLM Size and Cost

We tried four quantization techniques on Llama-3 and Mistral models. The quality vs cost trade-offs we found, plus what works for production inference.

Kiril Urbonas·7 min read

A Pragmatic Multi-Region Strategy for Small Teams

••9 months ago

A Pragmatic Multi-Region Strategy for Small Teams

How a small team moved from single-region risk to a simple active/passive multi-region setup without doubling complexity.

Kiril urbonas·2 min read

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What We Learned Running Weekly Game Days on Our CI/CD Pipeline

••9 months ago

What We Learned Running Weekly Game Days on Our CI/CD Pipeline

Practical game day scenarios for CI/CD: broken rollbacks, permission issues, and slow feedback loops—and how we fixed them.

Kiril urbonas·2 min read

Real-World RAG Incidents: Lessons from a Production Rollout

••9 months ago

Real-World RAG Incidents: Lessons from a Production Rollout

A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.

Kiril urbonas·2 min read

Vector Databases for AI: Comparing Pinecone, Weaviate, and ChromaDB

••9 months ago

Vector Databases for AI: Comparing Pinecone, Weaviate, and ChromaDB

We benchmarked four vector databases on the same workload. Each has a place. Here's how we'd pick today.

Kiril Urbonas·8 min read

How We Stopped Terraform Drift from Surprising On-Call

••9 months ago

How We Stopped Terraform Drift from Surprising On-Call

A real story of removing console-only changes, adding drift detection, and getting Terraform back in charge.

Kiril urbonas·1 min read

Systemd Tricks We Use to Keep Services Boring

••9 months ago

Systemd Tricks We Use to Keep Services Boring

Concrete systemd unit patterns that reduced flakiness: restart policies, resource limits, and structured logs.

Kiril urbonas·1 min read

Building RAG Applications: A Complete Guide to Retrieval Augmented Generation

••9 months ago

Building RAG Applications: A Complete Guide to Retrieval Augmented Generation

We've shipped four production RAG applications. Each one taught us something. The end-to-end pattern that works.

Kiril Urbonas·7 min read

RAG in Production: Reliability, Latency, and Cost for LLM Apps

••9 months ago

RAG in Production: Reliability, Latency, and Cost for LLM Apps

Run retrieval-augmented generation at scale. Chunking, caching, and observability.

Kiril urbonas·1 min read

A Pragmatic Multi-Region Strategy for Small Teams

••9 months ago

A Pragmatic Multi-Region Strategy for Small Teams

How a small team moved from single-region risk to a simple active/passive multi-region setup without doubling complexity.

Kiril urbonas·2 min read

What We Learned Running Weekly Game Days on Our CI/CD Pipeline

••9 months ago

What We Learned Running Weekly Game Days on Our CI/CD Pipeline

Practical game day scenarios for CI/CD: broken rollbacks, permission issues, and slow feedback loops—and how we fixed them.

Kiril urbonas·2 min read

Best Practices: AI Inference Cost Optimization

••9 months ago

Best Practices: AI Inference Cost Optimization

We cut LLM inference cost 47% over a quarter while improving p95 latency. Six changes, ranked by what each one actually delivered.

Kiril Urbonas·6 min read

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