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DevSecOps

How Snyk's Azure Pipelines and Bitbucket Pipelines integr...

Snyk's CLI, Azure Pipelines extension, and Bitbucket pipe handle auth, gating, and reporting differently — here's how each mechanism actually works under the hood.

Jun 4, 20267 min read
DevSecOps

How the Snyk CLI's exit codes are structured for CI/CD fa...

A mechanical look at how the Snyk CLI's 0/1/2/3 exit codes work, how --severity-threshold and --fail-on change them, and how to branch on them correctly in CI/CD.

Jun 4, 20267 min read
DevSecOps

DevOps Research and Assessment (DORA): The Four Metrics Explained

DevOps Research and Assessment (DORA) distilled a decade of research into four metrics that predict software delivery performance — here's what they measure and how security work actually affects them.

Jun 2, 20265 min read
DevSecOps

Is Node.js Safe? A Security Guide

Node.js itself is safe when kept current and configured well. Most real risk lives in your dependencies and your code, not the runtime.

Jun 2, 20265 min read
DevSecOps

DevOps vs DevSecOps: what actually changes when you add s...

DevOps vs DevSecOps isn't a mindset shift — it's specific new artifacts, gates, and ownership. Here's what changes, contrasted with JFrog's artifact-first model.

Jun 1, 20268 min read
DevSecOps

Using Literal in Python: Type Safety for Fixed Values

The Literal type in Python lets you constrain a value to a fixed set of options the type checker enforces. Here's how to use it well, and where it quietly improves security.

May 31, 20266 min read
DevSecOps

Node.js Security News: Recent Advisories and How to Stay Ahead

Node.js security news moves on a predictable cadence. Here is how to read the advisories, act on the ones that matter, and harden your apps.

May 31, 20266 min read
DevSecOps

Validating URLs Safely in Python with the validators Library

The Python validators library's url validator is a quick way to check URLs, but older regex-based versions carried a ReDoS risk. Here's how to use it safely.

May 31, 20266 min read
DevSecOps

Why Python assert in Production Code Is a Security Risk

Using Python assert in production code is risky because assertions are stripped when Python runs optimized. Any security check written as an assert simply disappears.

May 31, 20265 min read

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