Karpenter can take 20 to 40 percent off your EKS compute bill, more with Spot, without refactoring a line of app code. Why it beats Cluster Autoscaler, the audit sequence to roll it out safely, and the gotchas that quietly cost people money.
On a well-built Spring Boot app, exposing your product to AI agents is almost trivial: annotate a service method, add one starter. The wiring is the easy part. Choosing what to expose and securing it is the real work. Here is the honest version, on Spring AI 2.0.
Turning on RDS encryption satisfies the compliance question and stops almost none of the attacks that actually leak data. Here is what each layer of encryption at rest really defends against, on Postgres and AWS, and how to build the one that protects the sensitive field.
RAG means handing your AI the right page from your own documents before it answers. It is powerful when your knowledge base is large, changing, or per-customer. It is also something a lot of teams build too early. Here is the honest decision.
Environment variables are where secrets go to leak. Here is how to get them out, what each store actually buys you (and costs), and how to wire it into a Spring app without calling an API on every request.
Four ways to map a Java bean, one JMH harness, real numbers. MapStruct costs almost nothing over hand-written code. One of the others is about 300x slower. Here is which, and when it matters.
