AI, LLMs, and applied ML.
Senior-engineer field notes on AI, LLMs, agents, and applied machine learning by Ercan Ermis.
All posts
Cutting Amazon Bedrock Knowledge Base Costs by ~90%: Migrating from OpenSearch Serverless to Aurora Serverless v2 with pgvector
An OpenSearch Serverless vector store costs roughly $700/month before you ingest a document. Aurora Serverless v2 with pgvector drops that floor under $50.
AWS Monthly (Dec '25): The Kiro Era Begins
We ended the year with the General Availability of Kiro (Frontier Agents). Kiro is not just a chatbot; it’s a Virtual Software Development...
AWS re:Invent 2025: The "Agentic" Era
re:Invent 2025 read through an agentic lens: the Nova 2 family split into specialised roles, and AWS stopped shipping chat and started shipping work.
AWS Monthly (Oct '25): Industrializing AI Training
October 2025 on AWS: Project Rainier put over 500,000 Trainium2 chips behind one cluster, and Trainium2 price-performance now beats comparable GPU instances.
AWS Monthly (June '25): S3 Becomes Your Vector DB
For the last two years, we have been told we need a specialized vector database (Pinecone, Milvus, etc.) for Retrieval-Augmented Gene...
AWS Monthly (Feb '25): Automated Code Evolution
February 2025 on AWS: Q Developer moved from code completion to autonomous refactoring, mapping repository dependencies and migrating legacy Java itself.
More from Ercan
Two more sites, same author, different ground.
Cloud, AWS, EKS, Terraform, platform engineering.
Field notes from production systems. EKS, IAM, Terraform at organization scale, observability, cost optimization.
Visit ercan.cloud →The hub. About, consulting, contact.
Personal hub for both writing tracks. Who I am, how the consulting works, how to reach me.
Visit ercanermis.com →