JOURNALEngineering notes
Field notes from the build
Field notes on cloud-native platforms, security, and shipping intelligent software — from the Cursopic engineering team.
- cloud
- finops
- cost
- platform-engineering
The Two-Week Cloud Cost Audit: A FinOps Playbook for Growing Teams
Most cloud bills carry 20-30% recoverable waste. Here is the two-week audit we run to find it — without a reliability trade-off or a migration.
- ai
- rag
- llm
- b2b-saas
- product-engineering
RAG Architecture for B2B SaaS Products: What Engineering Teams Get Wrong in Production
Production RAG for B2B SaaS fails on domain language, multi-tenant isolation, and missing eval loops. Here is what the engineering actually requires.
- security
- devops
- ci-cd
- sast
- sbom
- devsecops
Secure SDLC Pipeline Guide: Baking Security Into Every Stage of CI/CD
A practical guide to building a secure software development lifecycle pipeline with SAST, DAST, SCA, SBOM, secrets scanning, and policy gates.
- engineering-leadership
- consultancy
- hiring
- cto
Staff Augmentation, Fractional CTO or Consultancy: Choosing the Right External Engineering Model
Staff aug, fractional CTO, or consultancy — three models with different failure modes. A decision framework to tell you which your team needs now.
- cloud
- platform-engineering
Cloud-native platforms without the rewrite
Most platforms get rewritten because the first version optimized for the wrong thing. Here is how to build one that scales from prototype to production.
- cloud
- kubernetes
- platform-engineering
- cost
Kubernetes Cost Optimisation for Startups: Cut Cloud Spend Without Touching Reliability
Most Kubernetes clusters run at under 40% utilisation. Here is how to cut cloud spend without trading away reliability — three levers, one framework.
- security
- zero-trust
Zero-trust for startups: a pragmatic security baseline
Zero-trust is not a product you buy or a project that ends. For a small team, it is a set of defaults you can adopt this quarter. Here is where to start.
- ai
- llm
- observability
Shipping LLM features that survive production
A demo that works once is easy. An LLM feature that works for thousands of real users is an engineering problem. Here is the discipline that gets you there.