InfoQ Homepage Development Content on InfoQ
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/articles/solving-ai-productivity-paradox-test-automation/en/smallimage/solving-ai-productivity-paradox-test-automation-thumbnail-1779953915743.jpg)
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 how, 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.
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/articles/adaptive-hedged-requests-p99-latency/en/smallimage/thumbnail-1779785816730.jpg)
Stragglers, Not Failures: How Adaptive Hedged Requests Reduce p99 Latency by 74 Percent
In fan-out microservice architectures, slow-but-completing requests accumulate across services and drive p99 latency far higher than per-service metrics suggest. This article presents an adaptive hedging mechanism that uses DDSketch for real-time quantile estimation, windowed rotation to handle distribution drift, and a token-bucket budget to prevent load amplification.
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/articles/architecting-cloud-native-kafka/en/smallimage/architecting-cloud-native-kafka-thumbnail-1779433382367.jpg)
Architecting Cloud-Native Kafka: from Tiered Storage towards a Diskless Future
This article explores Kafka's transition toward a cloud-native architecture, examining how tiered storage, FinOps telemetry, elastic consumer scaling, virtual clusters, and Share Groups reshape the operational and economic model of event streaming platforms. It also analyzes emerging diskless-storage proposals and their architectural trade-offs.
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/articles/schema-proliferation-problem/en/smallimage/schema-proliferation-problem-thumbnail-1779270222602.jpg)
The Schema Proliferation Problem in Kafka and Flink Pipelines: How to Solve It
Schema proliferation builds slowly and gets expensive fast. One schema per event type feels right until there are ten tables, union queries spanning all of them, and a single field rename touching every schema. Discriminator-based schema consolidation collapses that to two tables, turning multi-table unions into a single query, while new variants are additive and don't break existing consumers.
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/articles/local-first-ai-inference-cloud/en/smallimage/Local-First-AI-Inference-A-Cloud-Architecture-Pattern-for-Cost-Effective-Document-Processing-thumb-image-1778141518292.jpg)
Local-First AI Inference: a Cloud Architecture Pattern for Cost-Effective Document Processing
The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human review. Deployed on 4,700 engineering drawing PDFs, it cut API costs by 75% and processing time by 55%, while bounding errors through a human review tier.
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/articles/asp-net-core-side-car/en/smallimage/Implementing-the-Sidecar-Pattern-in-Microservices-based-ASP-NET-Core-Applications-thumb-1778079284259.jpg)
Implementing the Sidecar Pattern in Microservices-Based ASP.NET Core Applications
Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a component or a service. These cross-cutting concerns can be tightly integrated into the application. While this tight coupling ensures effective use of shared resources, an outage in any of these components can take your application down. Enter the sidecar design pattern.
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/articles/metrics-driven-approach-ios-performance/en/smallimage/metrics-driven-approach-ios-performance-thumbnail-1777624958302.jpg)
Beyond the Benchmark: a Metrics-Driven Approach to Sustained iOS Performance on Real Devices
iOS performance engineering often defaults to a mental model where performance is a property of a component. Performance is instead an emergent behavior of the interaction between application code, device hardware, OS resource management, network conditions, and user behavior patterns over time. This article gives a direct, first-party path to capturing performance issues using Xcode Instruments.
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/articles/micro-batch-streaming-lessons-learned/en/smallimage/micro-batch-streaming-lessons-learned-thumbnail-1777381781538.jpg)
From Batch to Micro-Batch Streaming: Lessons Learned the Hard Way in a Delta Index Pipeline
This article describes how a production delta-index pipeline migrated from scheduled batch to micro-batch Spark Structured Streaming. It covers why record-level streaming was rejected, how partition-based watermarks replaced fragile S3 completion markers, overlap-window correctness, and restart-as-design strategies for better predictability in object-store–based ingestion systems.
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/articles/securing-autonomous-ai-agents-kubernetes/en/smallimage/securing-autonomous-ai-agents-kubernetes-thumbnail-1777378848477.jpg)
Securing Autonomous AI Agents on Kubernetes: Trust Boundaries, Secrets, and Observability for a New Category of Cloud Workload
Autonomous AI agents break Kubernetes security assumptions with dynamic dependencies, multi-domain credentials, and unpredictable resource use. This article covers production-tested patterns: Job-based isolation, Vault for scoped short-lived credentials, a four-phase trust model from shadow mode to autonomous operation, and observability for non-deterministic reasoning cycles.
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/articles/dpop-key-storage-unsolved-problem/en/smallimage/dpop-key-storage-unsolved-problem-thumbnail-1777296488937.jpg)
The DPoP Storage Paradox: Why Browser-Based Proof-of-Possession Remains an Unsolved Problem
DPoP closes a real gap in OAuth 2.0. Sender-constrained tokens are a meaningful upgrade over bearer tokens for any client that can implement them. But RFC 9449's silence on browser key storage creates the need for an architectural decision that each team must confront deliberately — there is no safe default that works everywhere.
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/articles/mcp-java-architectural-strategy-llm-integrations/en/smallimage/mcp-java-architectural-strategy-llm-integrations-thumbnail-1776772947180.jpg)
MCP in the Java World: Bringing Architectural Strategy to LLM Integrations
Discover how the Model Context Protocol (MCP) Java SDK is establishing a new architectural discipline for enterprise LLM integrations. By defining explicit contracts and leveraging MCP servers as anti-corruption layers, it ensures governance, loose coupling, and security alignment with the JVM ecosystem and existing operational practices, moving integrations beyond fragility to resilience.
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/articles/sovereign-fault-domains-cloud-resilience/en/smallimage/sovereign-fault-domains-cloud-resilience-thumbnail-1776430533702.jpg)
When a Cloud Region Fails: Rethinking High Availability in a Geopolitically Unstable World
Sovereign fault domains are failure boundaries defined by legal, political, or physical jurisdiction rather than hardware topology. The article maps geopolitical events to known distributed-systems failure modes, argues multi-region should replace multi-AZ as the HA baseline for systems crossing jurisdictions, and outlines design patterns, chaos experiments, and an ALE model to justify the spend.