InfoQ Homepage Distributed Systems Content on InfoQ
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QCon London 2026 Announces Tracks: AI Engineering, Building Teams, Tech of Finance, and More
The QCon London 2026 tracks are live: 15 practitioner-curated deep dives on AI adoption, resilient architectures, distributed systems, performance, modern languages, data, security, and Staff+ leadership, rooted in real production lessons.
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Airbnb’s Mussel V2: Next-Gen Key Value Storage to Unify Streaming and Bulk Ingestion
Airbnb’s engineering team re-architected its internal key-value storage system, Mussel, to unify streaming and bulk ingestion while simplifying operations, achieving over 100,000 writes per second and sub-25ms read latencies on 100-terabyte tables, while leveraging Kubernetes, Kafka, and a NewSQL backend to improve scalability, reliability, and operational efficiency across its internal services.
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How LinkedIn Built Enterprise Multi-Agent AI on Existing Messaging Infrastructure
LinkedIn extended its generative AI application platform to support multi-agent systems by repurposing its existing messaging infrastructure as an orchestration layer. This allowed the company to scale AI agents without building new coordination technology from scratch and achieve global availability while supporting complex multi-step workflows through agent coordination.
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LinkedIn Re-Architects Edge-Building System to Support Diverse Inference Workflows
LinkedIn has detailed its re-architected edge-building system, an evolution designed to support diverse inference workflows for delivering fresher and more personalized recommendations to members worldwide. The new architecture addresses growing demands for real-time scalability, cost efficiency, and flexibility across its global platform.
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Amazon SQS Fair Queues: a New Approach to Multi-Tenant Resiliency
AWS's new Fair Queues for Amazon SQS revolutionize message handling in multi-tenant systems by mitigating the "noisy neighbor" issue. This feature ensures low message dwell times for quieter tenants without requiring code changes, enhancing both performance and fairness. Developers can effortlessly implement this capability and maintain consistent service quality across applications.
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Microsoft Azure Enhances Observability with OpenTelemetry Support for Logic Apps and Functions
Microsoft has expanded OpenTelemetry support in Azure Logic Apps and Functions, enhancing observability and interoperability across platforms. This open-source framework enables seamless data generation and correlation, enhancing diagnostics beyond standard telemetry. With streamlined configuration and integration, Azure's offerings aim for standardized observability across cloud services.
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Temporal on AWS Aims to Ease Building Resilient Distributed Systems
Temporal Technologies, the company that created Temporal, an open-source microservices orchestration platform focused on durable execution, has made Temporal Cloud available on the AWS marketplace. By offering their services via AWS, the company aims to simplify the development of resilient distributed systems for large-scale applications.
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Mezzalira at QCon London: Micro-Frontends from Design to Organisational Benefits and Deployments
During his QCon London presentation, Luca Mezzalira, principal architect at AWS, shared his experience in building the ideal micro frontend platform. He disclosed the recipe for determining if micro frontends are right for your company, as well as the core principles of creating the perfect architecture for your use case, and also provided deployment strategies for distributed architectures.
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Lessons on How to Get Timeouts, Retries and Idempotency Right from Sam Newman at QCon London
At QCon London, Sam Newman - the architect who has attributed the coining of the term microservices, went back to the basics to underline the three critical things to get right when working with distributed systems: timeouts, retries and idempotency. Through the talk, he provided mechanisms allowing distributed systems to be more robust.
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Dapr Agents: Scalable AI Workflows with LLMs, Kubernetes & Multi-Agent Coordination
Introducing Dapr Agents—a groundbreaking framework for creating scalable AI agents using Large Language Models (LLMs). With robust workflows, multi-agent coordination, and cloud-neutral architecture, it enables enterprises to deploy thousands of resilient agents. Built on Dapr’s proven infrastructure, Dapr Agents ensures reliability and observability in AI-driven applications.
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How Monzo Bank Built a Cost-Effective, Unorthodox Backup System to Ensure Resilient Banking
Monzo Bank recently revealed Stand-in, an independent backup system on GCP that ensures essential banking services remain operational during application and AWS infrastructure outages. Unlike traditional backups, it's a minimal stand-alone system that exclusively supports key operations and features a cost-effective design, resulting in 1% of the operational costs of the primary deployment.
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Distributed Multi-Modal Database Aerospike 8 Brings Support for Real-Time ACID Transactions
Aerospike has announced version 8.0 of its distributed multi-modal database, bringing support for distributed ACID transactions. This enables large-scale online transaction processing (OLTP) applications like banking, e-commerce, inventory management, health care, order processing, and more, says the company.
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Inside Netflix’s Distributed Counter: Scalable, Accurate, and Real-Time Counting at Global Scale
Netflix engineers recently published a deep dive into their Distributed Counter Abstraction, a scalable service designed to track user interactions, feature usage, and business performance metrics with low latency. The system balances performance, accuracy, and cost through configurable counting modes, resilient data aggregation, and a globally distributed architecture.
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Improving Distributed System Data Integrity with Amazon S3 Conditional Writes
AWS recently announced support for conditional writing in Amazon S3, allowing users to check for the existence of an object before creating it. This feature helps prevent overwriting existing objects when uploading data, making it easier for applications to manage data.
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How Amazon Aurora Serverless Manages Resources and Scaling for Fleets of 10K+ Instances
AWS engineers published a paper describing the evolution and latest design of resource management and scaling for the Amazon Aurora Serverless platform. Aurora Serverless uses a combination of components at different levels to create a holistic approach for dynamically scaling and adjusting resources to satisfy the needs of customer workloads.