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Development

Featured in Development

Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale

Large-scale software delivery demands managing complexity across teams and organizations. Similarly to betting strategies in Vegas, embracing probabilistic thinking helps tackle uncertainty, shifting from rigid plans to adaptive systems. By making informed bets and designing for change, leaders can control volatility, respond to evolving conditions, and drive success in dynamic environments.

All in development

Architecture & Design

Featured in Architecture & Design

Sidecar-less or Sidecars for Your Applications in Istio Service Mesh?

Lin Sun discusses the choice between sidecar-less or sidecar, when to consider a sidecar-less implementation, how to migrate between these data plan options, what are the implications.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Dataflow-based Query Caching with Readyset

Alana Marzoev discusses the fundamentals of streaming dataflow and the architecture of ReadySet, a streaming dataflow system designed for operational workloads.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Developing Regulated Software at the Speed of Innovation: Insights from Erez Kaminski

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Erez Kaminski about the challenges and importance of developing regulated software for safety-critical systems, emphasizing the need for validated DevOps and AI integration in industries like healthcare and automotive, while highlighting the balance between innovation, safety, and regulatory compliance.

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DevOps

Featured in DevOps

From Local to Production: a Modern Developer’s Journey towards Kubernetes

Urvashi Mohnani discusses the full developer experience of writing an application, containerizing it locally, deploying it to a Kubernetes cluster, and debugging Kubernetes applications locally.

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About this Podcast

Intended for architects and senior developers.

AI, ML & Data Engineering

AI, ML, and Data Engineering InfoQ Trends Report 2024

One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ audience with a high-level overview of the topics to pay attention to this year. In this episode, members of the InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering.

Mandy Gu Namee Oberst Srini Penchikala Roland Meertens Anthony Alford Daniel Dominguez
on Aug 14, 2024

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53:36
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Topics

Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale

Sidecar-less or Sidecars for Your Applications in Istio Service Mesh?

Dataflow-based Query Caching with Readyset

Developing Regulated Software at the Speed of Innovation: Insights from Erez Kaminski

From Local to Production: a Modern Developer’s Journey towards Kubernetes

Helpful links

Choose your language

Podcasts

About this Podcast

AI, ML, and Data Engineering InfoQ Trends Report 2024

Beat the Plan: Probabilistic Strategies for Successful Software Delivery at Scale

Carle Lerche Talking at QCon SF about Rust: a Productive Language for Writing Database Applications

Google Introduces Gemini AI Features to Android Studio

Sidecar-less or Sidecars for Your Applications in Istio Service Mesh?

Inside Netflix’s Distributed Counter: Scalable, Accurate, and Real-Time Counting at Global Scale

Evolving Your Architecture: Essential Steps and Tools for Modernization

Developing Regulated Software at the Speed of Innovation: Insights from Erez Kaminski

Exploring AI's Role in Automating Software Testing

Virtual Panel: How to Become a Principal Engineer

New LangChain Report Reveals Growing Adoption of AI Agents

Google DeepMind Unveils Gemini 2.0: A Leap in AI Performance and Multimodal Integration

Dataflow-based Query Caching with Readyset

Ruby on Rails 8.0 Released, Introduces Kamal 2 for Improved Deployments

Cloudflare Experiences Major Incident in November, Resulting in Log Loss

Optimizing Amazon ECS with Predictive Scaling

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InfoQ Dev Summit Munich

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