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InfoQ Reading List

QCon London 2026: Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server

Unikraft CEO Felipe Huici demonstrated waking VM number one million on a commodity server in ten milliseconds at QCon London. The talk traced a decade from academic unikernel research to a platform offering stateless scale-to-zero VMs with full isolation. Using Firecracker and VM snapshots, sleeping workloads resume instantly, turning server density from a hardware problem into a scheduling one.

By Steef-Jan Wiggers

Spring News Roundup: Third Milestone Releases of Boot, Security, Integration, AI and AMQP

There was a flurry of activity in the Spring ecosystem during the week of March 16th, 2026, highlighting the third milestone releases of: Spring Boot, Spring Security, Spring Integration, Spring AI and Spring AMQP; along with the second milestone releases of Spring Data and Spring for Apache Kafka.

By Michael Redlich

AWS Expands Aurora DSQL with Playground, New Tool Integrations, and Driver Connectors

Amazon has announced several updates for Aurora DSQL, focusing on usability, integrations, and developer tooling. The improvements include a new interactive Aurora DSQL Playground that lets developers explore and experiment with the database directly in the browser, without registration or associated costs.

By Renato Losio

QCon London AI Coding State of the Game: More Capable, More Expensive, More Dangerous Coding Agents

In her QCon London keynote, Birgitta Böckeler, AI-Coding lead at Thoughtworks, reflected on the changes in the AI coding space over the past year. She emphasised a shift from vibe coding to using autonomous coding agents or swarms of agents. According to her, two major concerns in the field are the worsening security landscape and the rising costs of agent-based development.

By Olimpiu Pop

QCon London 2026: Introducing Tansu.io — Rethinking Kafka for Lean Operations

Peter Morgan introduced Tansu at QCon London, an open-source, Kafka-compatible, stateless, leaderless broker that scales to zero, with pluggable storage (S3, SQLite, Postgres), broker-side schema validation, and direct writes to Iceberg and Delta Lake. Written in Rust, it uses 20MB of RAM and starts in 10 milliseconds.

By Steef-Jan Wiggers

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