InfoQ

DoltHub has recently released Dolt 2.0, a major update to the open source version-controlled SQL database. The latest major version adds automatic storage optimization, including garbage collection and compression, along with improved support for large and vector data types. Dolt is a MySQL-compatible SQL database with built-in Git-style version control, supporting operations such as branching, merging, cloning, and diffing.

Transcript Ben O'Mahony: First thing I want to bring up is this quote. We shape our tools, and thereafter our tools shape us. John Culkin paraphrased Marshall McLuhan with this quote decades ago, but I think it's never been more relevant. When you build an AI tool, you're creating something that will reshape your workflow, your habits, your thinking. The question isn't just, does it work, but actually, does this make you a better person? What kind of person does this tool create?

A new technical analysis published by the Cloud Native Computing Foundation (CNCF) argues that the future of agentic AI will be built not on entirely new infrastructure, but on the mature cloud-native ecosystem that already powers modern distributed applications.

Uber explained how it keeps its OpenSearch deployments running during a zone outage. It does this by using OpenSearch's built-in shard allocation and its own isolation-group system, which relies on the Odin container orchestration platform. This way, it maintains both query and ingestion capabilities. The design tolerates a full zone failure plus one additional node failure while preserving quorum and avoiding data loss. Uber aimed to solve a problem: physical zones often lack balanced node counts.

QCon AI Boston 2026 marked a turning point. We have spent the last couple of years learning to build AI agents. Now the question is how to run them, safely and reliably, once they are live. Almost every talk came back to the same theme: agents are forcing teams to build real production infrastructure around them. OpenAI’s Martin Spier set the tone in the opening keynote. His talk was about performance, but not in the narrow "make inference faster" sense.

InfoQ ホームページ ニュース Anthropicリード：エージェント型ループへの人間の関与維持にはMarkdownよりHTMLが有効に 原文リンク(2026-06-25) Claude CodeチームのエンジニアリングリードThariq Shihipar氏は先頃、ブログ記事を公開し（Claude Codeの活用：HTMLの驚くべき有効性）、より豊かな可視化、色彩、インタラクティブ性を備えたHTMLは、特にデフォルトMarkdown出力と比較した場合に、多くの場面で人間－エージェント間コミュニケーションの生産性を向上させると主張した。ゴールのコミュニケーション、仕様のリファインメント、出力レビューが、エージェント型ワークフローの新たなボトルネックとなりつつある。 Shihipar氏は開発者間で共通するペインポイントについて述べた: エージェントの能力がますます高まるにつれ、Markdownはますます制約の多いフォーマットになっていると感じています。具体的には、100行を超えるMarkdownファイルを読むのが難しいと感じています。 […]...

Amazon Web Services has recently introduced AWS Continuum, a new integrated security platform to automate the discovery, enforcement, and remediation of security issues across codebases, dependencies, and applications. AWS Continuum launches with four agentic capabilities, aiming at the entire vulnerability lifecycle: penetration testing, code review, threat modelling, and code vulnerabilities.

Be visible to management, talk to stakeholders and listen to their problems, make your value measurable with metrics like DORA, create narratives, and show the hidden pain to make it personal: these are lessons that Lucas Hornung and Christian Matthaei presented in Selling Flux the Human Way at KubeCon & CloudNativeCon Europe. A lot of platform teams face a problem: they build a lot of really cool stuff, and then their developers don’t use it.

Transcript Ruth Linehan: If you've ever heard anything about Rust, you might be familiar with these preconceptions, that your code in Rust is going to be faster, but that the Rust learning curve makes it slow to develop in. These were things that we thought at Momento when we started talking about moving our services into Rust. We'll get performance improvements in Rust, but the engineering cost is going to be 5 times or more.

A three-person agency with a normal AWS bill of $10 to $15 per month received a $14,000 charge in a single day after attackers extracted static access keys from an EC2 instance and burned through Claude model invocations on Amazon Bedrock. Tobias Schmidt, an AWS consultant, described the incident on LinkedIn: the team had experimented with a Bedrock chatbot using existing access keys, and two defaults amplified the damage.