RSA and ECC will not survive quantum. Trading systems must adopt post-quantum cryptography now, or risk exposing settlement and payoff data when quantum machines arrive.
A clear-eyed breakdown of serverless costs — why they’re hidden, when they make sense, and how to choose between functions and containers before surprises hit your bill.
Jakarta EE 12 aligns repositories, restrictions, queries, ORM, and NoSQL into a unified data model, making domain-centric data access a first-class platform feature.
A new volume type has recently joined the Kubernetes ecosystem: the image volume. This feature promises to change how we manage static data and configurations.
We rebuilt a failing activation stack as a governed platform using Segment, Databricks, and Iterable, reducing incidents and enabling safer self-service.
Use a query router for LLM analytics — Redshift (KPIs), OpenSearch (definition), Neptune (lineage), and Cache (repeats) — to improve accuracy, latency, and costs.
GPU-as-a-Service makes it easier to share accelerators, but it also raises concerns about isolation and security. This introduces a secure Kubernetes architecture.
Migrating legacy monolithic systems to the cloud is risky. Here is a proven pattern for automating regression testing at scale by replaying production traffic.
Cloud cost is a distributed systems failure mode. This article explains how to make it observable, prevent waste, and manage spend as an operational metric.
This article explains how to build a self-healing observability system with AWS Bedrock AgentCore using AI agents to analyze and remediate infrastructure issues.
NetOps teams often face a skills gap when troubleshooting complex infrastructure. This article presents an automation pattern for an AI co-pilot for incident response.
MCP is production-ready for LLM-to-tool integration; A2A enables emerging multi-agent collaboration. They complement, not compete, and neither replaces Spark or Airflow.
A guide to eight AI agent types with implementations, real-world use cases, and selection framework. Learn about LCM, HRM, LAM, SLM, VLM, LRM, MOE, and GPT architectures.