InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Efficient DevSecOps Workflows with a Little Help from AI: Q&A with Michael Friedrich
At QCon London, Michael Friedrich, senior developer advocate at GitLab, discussed how AI can help in DevSecOps workflows. His session was part of the Cloud-Native Engineering track on the first day of the conference. InfoQ interviewed Friedrich after the session.
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Navigating LLM Deployment: Tips, Tricks and Techniques by Meryem Arik at QCon London
At QCon London, Meryem Arik discussed deploying Large Language Models (LLMs). While initial proofs of concept benefit from hosted solutions, scaling demands self-hosting to cut costs, enhance performance with tailored models, and meet privacy and security requirements. She emphasized understanding deployment limits, quantization for efficiency, and optimizing inference to fully use GPU resources.
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Enabling Software Platform Adoption with Self-Service and User Engagement
In order to scale a platform, it has to become a self-service product with software engineers and managers engaged, taking advantage of new technologies. A stakeholder engagement program was established with senior engineers and managers across the company, explaining how the new tools can increase developers' productivity and team velocity.
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LLM Strategies, Platform Engineering, Observability and More: InfoQ Dev Summit Boston 2024
Join us at InfoQ Dev Summit Boston, running June 24-25, to network with your peers and experience a curated agenda with topics such as Generative AI, security, and modern web applications. The conference will feature 20+ technical talks by senior software practitioners over two days, with parallel breakout sessions emphasizing the essential topics development teams should prioritize now.
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InfoQ & QCon Events: Level up on Generative AI, Security, Platform Engineering, and More Upcoming
As we navigate through these transformative times, the upcoming InfoQ events stand as a platform to help you stay ahead, learn valuable insights, and find practical solutions to your development challenges in 2024 and beyond. The events are carefully curated for senior software engineers, architects, and team leaders, offering practitioner insights into emerging trends, patterns, and practices.
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The Challenges of Building Cyber-Physical Systems
There are several challenges in building hardware-reliant cyber-physical systems, such as hardware lead times, organisational structure, common language, system decomposition, cross-team communication, alignment, and culture. A solution to such challenges is to apply agile at the systems level, and to architect both hardware and software into modular components.
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InfoQ Dev Summit in Boston: Two Days of Talks for Senior Developers
InfoQ is delighted to announce a new two-day conference, InfoQ Dev Summit Boston 2024, taking place June 24-25, 2024. This event is designed to help senior developers navigate their immediate development challenges, focusing exclusively on the technical aspects that matter right now.
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Applying the Analytic Hierarchy Process for Tech Decisions
The analytic hierarchy process uses pairwise comparisons and scoring for criteria between the alternatives to give insights into what the best option is and why. John Riviello spoke about applying the analytic hierarchy process to decide what JavaScript framework to use at QCon New York 2023.
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Seven Essential Tracks at QCon London 2024: GenAI, FinTech, Platform Engineering & More!
InfoQ’s international software development conference, QCon London, returns on April 8-10, 2024. The conference will feature 15 carefully curated tracks and 60 technical talks over 3 days.
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How Growing Tech Engineers Enables Growing Yourself as a Leader
It’s challenging to grow into a new role when you are still holding on to what you have been good at and really love, and what you’ve been doing in your previous role. By attaching to everything you used to do, you are also depriving the people around you of an opportunity to grow and learn to master those skills and take on those responsibilities too.
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Durable Execution for Control Planes: Sergey Bykov at QCon San Francisco
During the third day of QCon San Francisco, Sergey Bykov, an SDE at Temporal Technologies, presented on Durable Execution for Control Planes: Building Temporal Cloud on Temporal. In his talk, Bykov introduced the concept of Durable Execution with a real-world example of how his company uses it to build the Control Plane for Temporal Cloud, including lessons learned.
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QCon SF 2023: How Netflix Really Uses Java by Paul Bakker
Paul Bakker, Java Platform at Netflix, Java Champion, and co-author of "Java 9 Modularity," presented How Netflix Really Uses Java at the 2023 QCon San Francisco conference. Bakker described the evolution of the architecture behind their movie application, introduced the GraphQL Federation, and described how Java is used at Netflix that includes plans to support JDK 21.
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Java News Roundup: New JEP Candidates, Azul, Gradle 8.4, QCon San Francisco, Devoxx Belgium
This week's Java roundup for October 2nd, 2023, features news from OpenJDK, JDK 22, Azul Code Inventory, Spring Shell 3.1.4, 3.0.8 and 2.1.13, JNoSQL 1.0.2, Quarkus 3.4.2, Micronaut 4.1.3, Hibernate Search 6.2.2, PrimeFaces 12.0.6, 11.0.12, 10.0.19 and 8.0.24, Maven 3.9.5, Camel 3.20.7, Tomcat Native 1.2.39, Testcontainers 1.19.1, JBang 0.111.0, Gradle 8.4, QCon San Francisco and Devoxx Belgium.
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QCon SF 2023: Streamlining Cloud Development with Deno by Ryan Dahl
Ryan Dahl, Co-Founder and CEO at Deno and Software Engineer best known for creating Node.js, presented “Streamlining Cloud Development with Deno” at QCon San Francisco 2023. Dahl introduced Deno, an open source next-generation JavaScript runtime, and discussed the benefits of using this framework. Dahl also provided numerous demos on how to build and deploy cloud applications with Deno.
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A Modern Compute Stack for Scaling Large AI, ML, & LLM Workloads at QCon SF
Jules Damji, a lead developer advocate at Anyscale Inc., discussed the difficulties data scientists encounter when managing infrastructure for machine learning models. He emphasized the necessity for a framework that supports the latest machine learning libraries, is easily manageable, and can scale to accommodate large datasets and models. Damji introduced Ray as a potential solution.