In this issue, June 9, 2026 View it in your browser.

ExtendDB, AI/MCP LinkedIn, Netflix Microservices, Incident Toll, AWS Random Graph, Next.js 16.2, Workspace CLI, AI Test Automation, LiteRT-LM, OpenAI Sandbox, Shopify GraphQL, Architecture Change Cases, Data-Driven Conversations

InfoQ Certified Organizational Architect (June 19): who checks your team-structure decisions?

Team design decisions are hard to validate from inside one organization. Everyone shares the same history and blind spots. Work through team boundaries, platform strategy, cognitive load, and value flow with Team Topologies co-author Manuel Pais and a confidential peer group. Reserve your place.

 

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Architecting for Autonomous Reliability: Embedding AI into Your Observability Stack - Sponsored by NeuBird AI

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As distributed, event‑driven systems scale, dashboards and human triage break down. This webinar shows how to build AI‑native observability that correlates telemetry, cuts noise, and drives safe, autonomous remediation. Live Webinar, June 25th, 2026 — Save Your Seat.

The Technology Adoption Curve, Twenty Years On

A look back at twenty years of software evolution on InfoQ, tracing how Agile, Cloud, DevOps, Kubernetes, ML, and AI moved through the technology adoption curve. (Article)

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Requirements Analysis for Architects: a Conversation with Sonya Natanzon

Michael Stiefel spoke to Sonya Natanzon, about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution statements. (Podcast)

TOP AI, ML & Data Engineering NEWS HEADLINES

  1. ExtendDB: Open Source Amazon DynamoDB Compatible Adapter with Pluggable Storage Backends

  2. Cloudflare Identifies Query Planning Bottleneck in ClickHouse

  3. Claude Code Adds Dynamic Workflows for Parallel Agent Coordination

  4. BadHost Vulnerability Exposes AI Agents, Evaluators, and LLM Gateways

Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG

In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution. (Article)

Platform Teams Enabling AI - MCP/Multi-Agentic Tools across Linkedin

LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move beyond fragmented implementations by building platform abstractions for orchestration, structured context, and safe tooling like MCP. They share architectural insights from real-world coding, observation, and UI testing agents built at LinkedIn. (Presentation with transcript included)

Choosing Your AI Copilot: Maximizing Developer Productivity

Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior engineers - including context engineering, custom rules, and Model Context Protocol (MCP) integrations. He shares real-world benchmarks and strategic frameworks for balancing AI adoption with clean code quality. (Presentation with transcript included)

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TOP DevOps NEWS HEADLINES

  1. How Netflix Maps Thousands of Microservices in Real-Time

  2. Dropbox Introduces Nova, an Internal Platform for Running AI Coding Agents at Scale

  3. OpenTelemetry Launches “Blueprints” Initiative to Simplify Enterprise Observability Adoption

Article Series: Securing the AI Stack: from Model to Production

This series provides your roadmap for the machine age, exploring how to move from vulnerable prototypes to resilient systems through layered defense, robust MLOps, and integrated governance. (Article)

The Human Toll of Incidents & Ways to Mitigate it

Kyle Lexmond explains how to handle the high-pressure environment of severe production outages. He discusses the critical distinction between mitigation and root-cause resolution, sharing personal experiences from harrowing incident rooms. He shares valuable operational strategies on overcoming cognitive overload, establishing blameless cultures, and optimizing systems for faster recovery. (Presentation with transcript included)

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TOP Cloud NEWS HEADLINES

  1. AWS Replaces Fat-Tree Data Center Networks with Random Graph Theory, Cutting Routers by 69%

  2. A Trailing Slash Bypassed AWS API Gateway Authorization

Two Misconfigurations That Caused Spark OOM Failures on Kubernetes

After migrating Spark pipelines to Azure Kubernetes Service, two infrastructure settings interacted destructively: spark.kubernetes.local.dirs.tmpfs=true backed shuffle spill with RAM instead of disk, and a hard podAffinity rule forced all executors onto one node. Together, they caused repeated OOM kills invisible to standard diagnostics. (Article)

Google Workspace CLI: Unified Command-Line Tool Built for Humans and AI Agents

This week's Java roundup for May 25th, 2026, features news highlighting: lifecycle changes with two of the JEPs that were targeted for JDK 27; the GA release of Koog 1.0; point releases of Hazelcast, Quarkus, Hibernate and JHipster; the eighth milestone release of Spring AI 2.0; and introducing Endive, a JVM-native WebAssembly (Wasm) runtime. (News)

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Java News Roundup: OpenJDK JEPs, Hazelcast, Quarkus, Hibernate, Koog, JHipster, Introducing Endive

This week's Java roundup for May 25th, 2026, features news highlighting: lifecycle changes with two of the JEPs that were targeted for JDK 27; the GA release of Koog 1.0; point releases of Hazelcast, Quarkus, Hibernate and JHipster; the eighth milestone release of Spring AI 2.0; and introducing Endive, a JVM-native WebAssembly (Wasm) runtime. (News)

TOP Web Development NEWS HEADLINES

  1. TypeORM Reaches 1.0 after Nearly a Decade, Signalling Renewed Maintenance

  2. Next.js 16.2: 400% Faster Dev Startup, Faster Rendering, and Deeper Tooling for AI Agents

  3. Node.js Moves to One Major Release Per Year, Starting with Node 27

The AI Productivity Paradox in Test Automation: Moving beyond Structural Validation to Perception and Intent

The AI productivity paradox states that AI scales whatever abstraction it is built on. If that abstraction is structurally brittle, it scales structural brittleness. This article shows that to build a future of reliable, AI-driven test automation, we must stop scaling DOM-centric abstractions and build a new testing paradigm grounded in perception and intent. (Article)

Google LiteRT-LM Speeds up Local Inference up to 2.2x with Gemma 4 Multi-Token Prediction

LiteRT-LM brings native support for Gemma 4 Multi-Token Prediction (MTP) drafters, enabling up to 2.2x faster inference. The framework is expanding beyond Kotlin and C++ adding support for new Swift and a JavaScript APIs. (News)

TOP Architecture & Design NEWS HEADLINES

  1. How OpenAI Built a Secure Windows Sandbox for Codex Agents

  2. 30+ Updates per Second per Account: Uber Scales Ledger Processing with Batching

  3. Inside Google’s System for Coordinated A/B Testing across its Global Service Fleet

  4. Shopify Reports 15X Faster Graphql Execution with Breadth First Engine

Architectural Change Cases: a Practical Tool for Evolutionary Architectures

Architectural change cases extend architecture decision record (ADR) thinking by evaluating how decisions may evolve over time. Change cases expose hidden assumptions and help teams estimate the reversibility and cost of change. (Article)

Architecting a Centralized Platform for Data Deletion at Netflix

The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability & correctness, they explain how to orchestrate multi-system deletion propagation without impacting live traffic. They share lessons on controlling tombstone accumulation, building continuous audit loops, and gaining trust with a centralized platform. (Presentation with transcript included)

Theme Systems at Scale: How to Build Highly Customizable Software

Shopify Staff Engineer Guilherme Carreiro discusses building and scaling highly customizable platforms. Using Shopify’s Liquid theme system as a case study, he explains how to balance extreme design flexibility with low-latency performance under massive traffic. He shares insights on implementing secure domain-specific languages, native code extensions, and resilient developer tooling. (Presentation with transcript included)

How a Culture of Data-Driven Conversations Can Support Platform Engineering

To provide SRE as a service, a team built a center of excellence, introducing Federated SREs and roles like production manager and technical tribe lead. They created a culture of data-driven conversations where SLOs and SLAs were democratised. Surviving growing cognitive load meant continuously simplifying architecture and embedding sovereignty and resilience into platform design decisions. (News)

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