OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better suited to Kubernetes and cloud load balancers. It keeps WebRTC session state in a dedicated transceiver layer while using lightweight relays to reduce public UDP exposure and…
Zendesk argues that GenAI shifts the bottleneck in software delivery from writing code to “absorption capacity”, the organisation’s ability to define problems clearly, integrate changes into the wider system, and turn implementation into reliable value. As code becomes abundant, architectural coherence, review capacity, and delivery flow become the main constraints. Read more on InfoQ
Agoda recently published an observation arguing that while AI coding tools have measurably raised individual developer output, the resulting velocity gains at the project level have been surprisingly Read more on InfoQ
OpenAI has recently published a detailed architecture description of the Codex App Server, a bidirectional protocol that decouples the Codex coding agent’s core logic from its various client surfaces. The App Server now powers every Codex experience, including the CLI, the VS Code extension, and the web app, through a single, stable API. Read more…
Agoda recently described how it consolidated multiple independent data pipelines into a centralized Apache Spark-based platform to eliminate inconsistencies in financial data. The company implemented a multi-layered quality framework that combines automated validations, machine-learning-based anomaly detection, and data contracts, while processing millions of daily booking transactions. Read more on InfoQ
Lyft has rearchitected its machine learning platform LyftLearn into a hybrid system, moving offline workloads to AWS SageMaker while retaining Kubernetes for online model serving. Its decision to choose managed services where operational complexity was highest, while maintaining custom infrastructure where control mattered most, offers a pragmatic alternative to unified platform strategies. Read more on…
At QCon SF, a Stripe engineer presented the company’s Zero-Downtime Data Movement Platform, a system enabling petabyte-scale database migrations with traffic switches that typically complete in milliseconds. The platform supports Stripe’s infrastructure, handling 5 million database queries per second while maintaining 99.9995% reliability for $1.4 trillion in annual transactions. Read more on InfoQ
At QCon San Francisco, HeartFlow’s VP of engineering, Sonya Natanzon, shared lessons from navigating a recovery process after inheriting a catastrophic identity migration that locked users out of a healthcare portal on day one. Her five hard-won lessons reveal that successful architectural recovery depends as much on perception management and team dynamics as on technical…
Netflix engineers presented their architecture for a centralized data-deletion platform at QCon San Francisco, addressing a critical yet rarely discussed system design challenge. The platform manages deletion across heterogeneous data stores while balancing durability, availability, and correctness, processing 76.8 billion row deletions across 1,300 datasets with zero data loss incidents. Read more on InfoQ
Engineering teams make their most consequential decisions not in architecture reviews or sprint planning, but through invisible choices embedded in metrics, defaults, and everyday behaviors. In their QCon San Francisco 2025 keynote, Shawna Martell and Dan Fike challenged the industry’s focus on documented decision-making while the decisions that truly shape systems and culture go unrecognized….
During QCon SF, Jeremy Edberg and Qian Li from DBOS presented a non-conventional architectural approach to workflow orchestration: treating PostgreSQL not just as a data store, but as the orchestration layer itself. Their talk addressed a persistent problem in distributed systems: workflows frequently fail, recovery mechanisms are complex, and visibility into workflow state remains challenging….
A fundamental shift in enterprise software architecture is emerging as AI agents transition from assistive tools to operational execution engines, with traditional application backends retreating to governance and permission management roles. This transformation is accelerating across banking, healthcare, and retail systems, with 40% of enterprise applications expected to include autonomous agents by 2026. Read more…