Blog
Technical insights on DevOps, performance testing, security, and platform engineering.
Scale-to-Zero Dev Environments in Azure: Cut Costs Without Breaking Developer Flow
Dev environments become expensive when they’re treated like production. Use scale-to-zero compute, auto-pausing databases, and automated teardown to pay only when developers are actually using the environment.
Read article →Compliance for AI Implementations: GDPR, DPIAs, Data Residency, Auditability, and Prompt/Log Retention
AI doesn’t remove your compliance obligations; it multiplies the places data can leak, be copied, or be misunderstood. Get explicit about GDPR, DPIAs, residency, auditability, and prompt/log retention before you scale usage.
Read article →Data Foundations for AI: Quality, Ownership, Lineage, Access, Retention, Labelling
Most AI failures are data failures. Before you argue about models, define data quality, ownership, lineage, access controls, retention, and labelling so your AI outputs are trustworthy, auditable, and affordable.
Read article →Integrating AI with Real Systems: Tool Calling, Function Schemas, Deterministic Side-Effects, and Idempotency
Connecting AI to production systems introduces new failure modes: ambiguous intent, invalid arguments, duplicated actions, and unsafe side-effects. Use tool calling with strict schemas, keep execution deterministic, and enforce idempotency so retries don’t become incidents.
Read article →Integrating AI Agents into a Software Team Without Letting Quality Collapse
Agents can accelerate delivery, but they also introduce new failure modes: silent mistakes, shallow reviews, and developers outsourcing thinking. Treat agents as junior contributors with strict controls, measurable outcomes, and enforced guardrails.
Read article →Choosing a Model and Vector Store for RAG Without Overengineering It
RAG choices are trade-offs: retrieval quality, latency, cost, and operational complexity. Pick a model and vector store that fits your scale, data shape, and failure modes-then raise the bar only where it pays.
Read article →Why Load Testing Before Launch Is Non-Negotiable
Most teams treat load testing as an afterthought. Here's why that's a costly mistake - and what a proper pre-launch testing strategy looks like.
Read article →Shift-Left Security Testing Without Slowing Down Delivery
Security testing doesn't have to be a bottleneck. Integrating pen testing and SAST into your CI/CD pipeline catches vulnerabilities early without grinding delivery to a halt.
Read article →How Good Is Good Enough? Defining “Done” in Real-World Software
“Best practice” is often detached from reality. Define an agreed, risk-based house standard for engineering, testing, and observability so teams can ship reliably without endless debate or gold-plating.
Read article →Platform Engineering Beyond the Hype
Platform engineering is the latest buzzword in DevOps circles. Beneath the hype, there's a genuinely useful discipline - if you approach it pragmatically.
Read article →