InfoQ Homepage Articles
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/articles/secure-scalable-facial-verification/en/smallimage/secure-scalable-facial-verification-thumbnail-1789468796366.jpg)
Architecting Secure and Scalable Facial Verification Systems
When three thousand employees verify at once, synchronous API calls collapse. This article presents a four-layer architecture for high-volume face verification: client-side filtering that cut cloud costs 30%, decoupled detection and verification enabling 10x scaling, risk-based dynamic thresholds, and zero-trust privacy with consent gates and automated data purging for GDPR and HIPAA.
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Your Next DSL Author Is a Language Model
In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.
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/articles/durable-workflows-postgres/en/smallimage/Implementing-Durable-Workflows-on-Postgres-Without-an-External-Orchestrator-thumb-1789129413946.jpg)
Implementing Durable Workflows on Postgres Without an External Orchestrator
Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts.
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/articles/when-spec-driven-development-pays-off/en/smallimage/When-Spec-Driven-Development-Pays-Off-thumb-1788790605567.jpg)
When Spec-Driven Development Pays off
AI coding assistants have become a core part of software development. AI-generated code has shown productivity gains, but it's also contributing to security weaknesses and familiar bug patterns. In this article, author Nitin Garg highlights the bottleneck has moved from code generation to code verification, and how to detect & mitigate it when the AI-generated behavior diverges from the intent.
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/articles/chaos-engineering-ecs-payments/en/smallimage/chaos-engineering-ecs-payments-thumbnail-1788254676411.jpg)
Implementing Chaos Engineering in Financial Payment Systems: Lessons from Enterprise ECS Deployments
Standard chaos engineering assumes experiments stop cleanly, blast radius is knowable in advance, and production is fair game. Payment systems violate all three. Salim Adedeji describes ECS-specific failure modes from enterprise deployments: a 60-second DNS TTL that produced 93-second failover, retry logic amplifying database load 2.4x, and AZ rebalancing loops that generic tooling misses.
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/articles/gcp-wif-scale/en/smallimage/gcp-wif-scale-thumbnail-1787838950646.jpg)
Eliminating Long-Lived Credentials in GCP with Workload Identity Federation
Long-lived GCP service account keys are secrets that must be managed forever, are hard to rotate, and are easy to leak. Scaling Workload Identity Federation to 120+ production projects shows why it changes how machine identity is approached entirely: keys are secrets to manage, federated identities are trust relationships configured once, gated by attribute conditions.
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/articles/pqc-in-spring-boot/en/smallimage/pqc-in-spring-boot-thumbnail-1787646727709.jpg)
Post-Quantum Cryptography in Spring Boot: Four Patterns You Can Ship This Sprint
There are four patterns that bring PQC into a Spring Boot fleet: encrypting payloads between services, locking down database fields, signing documents that need to hold up for decades, and moving service tokens off RS256. Along the way, we discuss why Harvest Now, Decrypt Later is already happening, and why none of this is production-safe until KMS or Vault is in place.
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/articles/beyond-offset-lag-kafka-apache-hudi/en/smallimage/beyond-offset-lag-kafka-apache-hudi-thumbnail-1787577734265.jpg)
Beyond Offset Lag: Computing Time in Queue for Apache Hudi Data Lake Pipelines at Petabyte Scale
In this article, author Srikanth Mamidala discusses the data lake architecture used for analytics, reporting, and machine learning and shows how to manage the consumer lag metrics when using Kafka and Apache Hudi.
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/articles/rightsizing-platform-engineering/en/smallimage/rightsizing-platform-engineering-thumbnail-1787296955801.jpg)
Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs
Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster.
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/articles/agentic-fitness-functions-evolutionary-architecture/en/smallimage/thumbnail-1786428822427.jpg)
Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules
Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate evolutionary architecture governance with continuous, calibrated feedback loops.
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/articles/cloud-devops-trends-2026/en/smallimage/infoq-trends-report-small-logo-1785421405039.jpeg)
InfoQ Cloud and DevOps Trends Report - 2026
InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of Cloud and DevOps as part of the process of creating our annual 2026 trends report.
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Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely
As AI commoditizes code output, system comprehension silently decays, creating cognitive debt that threatens safe architectural evolution. This article explores why human understanding must be treated as an essential architectural characteristic, offering actionable strategies, socio-technical metrics, and design checkpoints to preserve intent across modern engineering teams.