InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Platform as a Runtime - the Next Step in Platform Engineering
As systems become larger and more complex we need to take the concepts of platform engineering to a higher level – to the code level – by creating platforms and abstractions that will reduce cognitive load, help simplify and accelerate software development, and allow for easy maintenance and upgrades to the platform. Let’s move from “platform” to “Platform as a Runtime”.
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Delivering Great Developer Experiences with Platform Engineering
Companies increasingly turn to platform engineering to help scale their development teams and increase developer experience for engineer efficiency. In this virtual panel, we’ll discuss how teams build platforms, set others up for success, work with developers who use their platform, measure their progress, and adapt to new challenges.
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Million Dollar Lines of Code - an Engineering Perspective on Cloud Cost Optimization
A single line of code can shape an organization's financial future. Erik Peterson, the CTO and founder at CloudZero, presented an engineering perspective on cloud cost optimization at QCon San Francisco.
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Accelerating Technical Decision-Making by Empowering ICs with Engineering Strategy
Carta harnesses the power of a small group of senior engineers called navigators to bridge the gap between global strategy and local decision-making, using a written engineering strategy. Navigators replace a need for consensus and boost velocity by combining technical context, domain context, strategic alignment, and judgment to make engineering decisions quickly.
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The Three As of Building A+ Platforms: Acceleration, Autonomy, and Accountability
Platform engineering is not just a technical problem to solve nor an end in itself. In this article, I will share key lessons I have learned while building and delivering three platforms over the last two decades from VMware and Stripe to Apollo GraphQL, including where we got stuck, how we unblocked ourselves, and what ultimately led to the right outcomes for our users and the business.
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How Netflix Ensures Highly-Reliable Online Stateful Systems
Building reliable stateful services at scale isn’t a matter of building reliability into the servers, the clients, or the APIs in isolation. By combining smart and meaningful choices for each of these three components, we can build massively scalable, SLO-compliant stateful services at Netflix.
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How to Build and Foster High-Performing Software Teams: Experiences from Engineering Managers
Engineering managers can enable software teams to learn and improve, and help them move problems and impediments out of the way. In this virtual panel, we'll discuss how engineering managers support teams, what skills they possess, and how they establish alignment and foster knowledge and experience sharing between teams.
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How to Get Tech-Debt on the Roadmap
Only doing product-led work can lead to an unmaintainable system with lots of downtime. Unfortunately, getting time to work on the things that would prevent that can be challenging. Engineering roadmaps balance many competing demands, and the people making the decisions aren’t always the closest to the code. There is a need to learn how to speak their language.
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Unpacking How Ad Ranking Works at Pinterest
Aayush Mudgal describes how Pinterest serves advertisements. He discussed in detail how Machine Learning is used to serve ads at large scale. He went over ads marketplaces and the ad delivery funnel, the ad serving architecture, and two of the main problems: ad retrieval and ranking. Finally, he discussed some of the challenges and solutions for training and serving large models.
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Managing 238M Memberships at Netflix
In this article Surabhi Diwan shared how the Netflix membership team does distributed systems: the architecture bets, technology choices, and operational semantics that serve the needs of Netflix’s ever-growing member base.
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Architecting for High Availability in the Cloud with Cellular Architecture
Cellular architecture is a design pattern that helps achieve high availability in multi-tenant applications. The goal is to design your application so that you can deploy all of its components into an isolated "cell" that is fully self-sufficient. It can benefit your customers regarding availability and ensure you hit your SLAs.
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Relational Data at the Edge: How Cloudflare Operates Distributed PostgreSQL Clusters
Explore Cloudflare's distributed PostgreSQL clusters and learn how a cross-region architecture ensures resilience. Discover how data storage and access at the edge deliver massive performance gains by reducing location-sensitive latency and why architecting for degraded states is much harder than for failure states.