InfoQ HomepagePerformance & Scalability Content on InfoQ
- Posted by Stephanie Wang on Sep 22, 2025
Scaling an Embedded Database for the Cloud – Challenges and Trade-Offs
Stephanie Wang discusses the tradeoffs and lessons learned from building a cloud-native data warehouse by scaling an embedded database, going from an in-process system to one with cloud capabilities.
on Sep 22, 2025
Icon58:27 - Posted by Mark Kurtz on Sep 08, 2025
GenAI at Scale: What it Enables, What it Costs, and How to Reduce the Pain
Mark Kurtz discusses scaling GenAI and optimizing LLM deployments. He shares how to overcome technical and financial challenges using open-source tools like vLLM, LLM Compressor, and InstructLab.
on Sep 08, 2025
Icon46:59 - Posted by Matthew Clark on Sep 03, 2025
Architecture in the Lead: Scaling Today, Shaping Tomorrow
Ian Arundale and Matthew Clark share how the BBC's architecture delivers for huge live events, discussing the importance of elasticity, resilience, and security, and the crucial human skills.
on Sep 03, 2025
Icon50:07 - Posted by Prudhviraj Karumanchi on Jun 26, 2025
Beyond Durability: Database Resilience and Entropy Reduction with Write-Ahead Logging at Netflix
Prudhviraj Karumanchi and Vidhya Arvind share how Netflix built a Write-Ahead Log to guarantee data durability and reliability, tackling issues like data loss, corruption, and replication at scale.
on Jun 26, 2025
Icon50:49 - Posted by Rashmi Venugopal on May 15, 2025
Renovate to Innovate: Fundamentals of Transforming Legacy Architecture
Rashmi Venugopal explains fundamentals of technical renovation for scaling software, addressing tech debt & complexity.
on May 15, 2025
Icon37:03 - Posted by Amitai Stern on Mar 31, 2025
OpenSearch Cluster Topologies for Cost Saving Autoscaling
Tech lead Amitai Stern shares insights on OpenSearch autoscaling, covering common pitfalls and innovative architectural approaches.
on Mar 31, 2025
Icon45:01 - Posted by Jessica Felix on Feb 13, 2025
Lessons Learned in the Financial Market about Performance and Observability in Front-End Projects
Jessica Felix discusses how to navigate the intricate balance between performance and observability, and the challenges of maintaining equilibrium.
on Feb 13, 2025
Icon36:37 - Posted by Wojtek Ptak on Feb 06, 2025
Unveiling the Tech Underpinning FinTech's Revolution
Wojtek Ptak, Andrzej Grzesik discuss how to avoid wasting time, problems of scaling architecture, imposing constraints and restrictions, and practical tips for increasing collaboration and ownership.
on Feb 06, 2025
Icon50:45 - Posted by James Munro on Aug 20, 2024
Why a Hedge Fund Built Its Own Database
James Munro discusses ArcticDB and the practicalities of building a performant time-series datastore and why transactions, particularly the Isolation in ACID, is just not worth it.
on Aug 20, 2024
Icon51:15 - Posted by Zhen Zhou on Jul 09, 2024
Delivering Millions of Notifications within Seconds During the Super Bowl
Zhen Zhou discusses how they built/test an on-demand notification system, what it takes to manage cloud resources/site-reliability at the same time, and how to mitigate reliability issues.
on Jul 09, 2024
Icon47:49 - Posted by Scott Meyer on Jun 07, 2024
LIquid: a Large-Scale Relational Graph Database
Scott Meyer discusses LIquid, the graph database built to host LinkedIn, serving a ~15Tb graph at ~2M QPS.
on Jun 07, 2024
Icon49:39 - Posted by Suhail Patel on May 22, 2024
From Mainframes to Microservices - the Journey of Building and Running Software
Suhail Patel discusses the platforms and software patterns that made microservices popular, and how virtual machines and containers have influenced how software is built and run at scale today.
on May 22, 2024
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Resources
Gartner® Research: Hype Cycle™ for Cloud Platform Services, 2025
Gartner® Research highlights where innovation in cloud platforms is accelerating and how AI Agent Development Frameworks (e.g. Akka, Langchain, CrewAI...) are transformative for enterprises.Get the Report.
[Webinar] Creating Certainty in the Age of Agentic AI
See how enterprises move from agent prototypes to fully operational agentic AI systems—faster and with greater confidence. Learn how the right architecture, tools, and patterns help meet SLAs, reduce uncertainty, and deliver systems 3x faster with 1/3 the compute and lower token use.Watch On-Demand.
Announcing the Akka Agentic Platform
Experience the next breakthrough in agentic AI with the Akka Agentic Platform. Innovate and operate at 3X the velocity with 1/3 the compute, when compared with other AI agent development frameworks like Langchain and CrewAI. Build, run, and evaluate agentic systems with Akka’s AI-native SDK and deploy anywhere.Read the blog.
On-demand webinar: Mastering event sourcing
Event sourcing is transforming how we design, build, and maintain modern applications. In this on-demand webinar, Kevin Hoffman—author of Real-World Event Sourcing—shares key insights from his book, breaks down the rules of mastering event sourcing, and showcases a live demo with examples in Akka.Watch now.
On-demand webinar: Design patterns for agentic AI
Learn how to build scalable, event-driven AI agents using agentic design patterns and platforms like Akka.Watch now.
A Blueprint for Agentic AI Services
Agentic AI services have massive potential—but scaling them remains a challenge. Agents operate at exponentially greater scale, straining infrastructure. LLMs introduce latency and availability issues. Frequent model training leads to constant updates. And most of all, the cost of running LLMs at agentic scale adds upfast.Watch now.
Principles and Patterns for Distributed Application Architecture (By O’Reilly)
This guide covers key principles, patterns, and best practices—elasticity, latency, failure recovery, consistency, and consensus—to design high-availability distributed applications.Get the book.








