10 top AWS resources on O’Reilly’s online learning platform
Our most-used AWS resources will help you stay on track in your journey to learn and apply AWS.
Ideas
What's on our radar.
Trends in data, machine learning, and AI
The O’Reilly Data Show Podcast: Ben Lorica looks ahead at what we can expect in 2019 in the big data landscape.
Four short links: 21 December 2018
Tech in China, Wisdom of Small Groups, iOS VPN, and Gameboy Supercomputer
What is neural architecture search?
An overview of NAS and a discussion on how it compares to hyperparameter optimization.
Deep automation in machine learning
We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline.
Assessing progress in automation technologies
When it comes to automation of existing tasks and workflows, you need not adopt an “all or nothing” attitude.
Tools for generating deep neural networks with efficient network architectures
The O’Reilly Data Show Podcast: Alex Wong on building human-in-the-loop automation solutions for enterprise machine learning.
Distributed systems: A quick and simple definition
Get a basic understanding of distributed systems and then go deeper with recommended resources.
120+ live online training courses opened for January and February
Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics.
Survey reveals the opportunities and realities of microservices
A new report explores how far companies have come with microservices.
Building tools for enterprise data science
The O’Reilly Data Show Podcast: Vitaly Gordon on the rise of automation tools in data science.
10 top Java resources on O’Reilly’s online learning platform
Our most-used Java resources will help you stay on track in your journey to learn and apply Java.
Managing risk in machine learning
Considerations for a world where ML models are becoming mission critical.
Lessons learned while helping enterprises adopt machine learning
The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process.
Kubernetes' scheduling magic revealed
Understanding how the Kubernetes scheduler makes scheduling decisions is critical to ensure consistent performance and optimal resource utilization.
Video
What changes when we go offline-first?
Martin Kleppmann shows how recent computer science research is helping develop the abstractions and APIs for the next generation of applications.
Video
Learning from the web of life
Claire Janisch looks at some of the best biomimicry opportunities inspired by nature’s software and wetware.
Video
The freedom of Kubernetes
Kris Nova looks at the new era of the cloud native space and the kernel that has made it all possible: Kubernetes.
Video
The misinformation age
Jane Adams examines the ways data-driven recruiting fails to achieve intended results and perpetuates discriminatory hiring practices.
Video
Incognito mentorship
Katrina Owen says the valuable skills that experienced professionals lack are at the vital margins of their careers.
Highlights from the O'Reilly Velocity Conference in London 2018
Watch highlights from expert talks covering Kubernetes, chaos engineering, deep learning, and more.
Video
Kubernetes: Good or evil? The ethics of data centers
Anne Currie says excessive and dirty energy use in data centers is one of the biggest ethical issues facing the tech industry.
Video
A new vision for the global brain: Deep learning with people instead of machines
Omoju Miller outlines a vision where we harness human action for a better future.
Video
Deriving meaning in a time of chaos: The intersection between chaos engineering and observability
Crystal Hirschorn discusses how organizations can benefit from combining established tech practices with incident planning, post-mortem-driven development, chaos engineering, and observability.
Video
Introducing serverless to your organization
Mike Roberts explores ideas for trying serverless as well as a framework for evaluating its effectiveness within your organization.
Video
Career advice for architects
Trisha Gee shares advice and lessons she learned the hard way while managing her career as a developer, lead, and technical advocate.
Video
Why software architects fail and what to do about it
Stefan Tilkov looks at common software architecture pitfalls and explains how they can be avoided.
Video
The challenges of migrating 150+ microservices to Kubernetes
Sarah Wells explains how the Financial Times migrated microservices between container stacks without affecting production users.
Video
Potholes in the road from monolithic hell: Microservices adoption anti-patterns
Chris Richardson describes microservices anti-patterns he’s observed while working with clients around the world.
Video
Are microservices a security threat?
Liz Rice outlines the security implications of microservices, containers, and serverless.
Highlights from the O'Reilly Software Architecture Conference in London 2018
Watch highlights from expert talks covering microservices, Kubernetes, serverless, and more.
Machine learning on encrypted data
The O’Reilly Data Show Podcast: Alon Kaufman on the interplay between machine learning, encryption, and security.
A foundational strategy pattern for analysis: MECE
As lists are the raw material of strategy and technology architecture, MECE list-making is one of the most useful tools you can have in your tool box.
How architecture evolves into strategy
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business.
10 top Python resources on O’Reilly’s online learning platform
Our most-used Python resources will help you stay on track in your journey to learn and apply Python.
What operations professionals need to know to fuel career advancement
O’Reilly’s new survey reveals the latest operations salary trends, and the skill sets that will keep your operations career on track.
4 imperatives for making business intelligence work
Create a coherent BI strategy that aligns data collection and analytics with the general business strategy.
Learn about serverless with these books, videos, and tutorials
This collection of serverless resources will get you up to speed on the basics and best practices.
Video
Building artificial people: Endless possibilities and the dark side
Supasorn Suwajanakorn discusses the possibilities and the dark side of building artificial people.
Video
Bringing AI into the enterprise: A functional approach to the technologies of intelligence
Kristian Hammond maps out simple rules, useful metrics, and where AI should live in the org chart.
Video
The missing piece
Cassie Kozyrkov shares machine learning lessons learned at Google and explains what they mean for applied data science.
Video
Fireside chat with Marc Warner and Louis Barson
Marc Warner and Louis Barson discuss the internal and external uses of AI in the UK government.
Video
Notes from the frontier: Making AI work
Drawing on the McKinsey Global Institute’s research, Michael Chui explores commonly asked questions about AI and its impact on work.
Video
Deep learning at scale: A field manual
Jason Knight offers an overview of the state of the field for scaling training and inference across distributed systems.
How social science research can inform the design of AI systems
The O’Reilly Data Show Podcast: Jacob Ward on the interplay between psychology, decision-making, and AI systems.
Video
AI in production: The droids you’re looking for
Jonathan Ballon explains why Intel’s AI and computer vision edge technology will drive advances in machine learning and natural language processing.
Video
AI for a better world
Ashok Srivastava draws upon his cross-industry experience to paint an encouraging picture of how AI can solve big problems.
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Trust and transparency of AI for the enterprise
Ruchir Puri explains why trust and transparency are essential to AI adoption.
Video
Rethinking software engineering in the AI era
Yangqing Jia talks about what makes AI software unique and its connections to conventional computer science wisdom.
Highlights from the Artificial Intelligence Conference in London 2018
Watch highlights from expert talks covering artificial intelligence, machine learning, automation, and more.
Video
Why we built a self-writing Wikipedia
Amy Heineike explains how Primer created a self-updating knowledge base that can track factual claims in unstructured text.
Video
The state of automation technologies
Ben Lorica and Roger Chen highlight recent trends in data, compute, and machine learning.
Video
AI and machine learning at Amazon
Ian Massingham discusses the application of ML and AI within Amazon, from retail product recommendations to the latest in natural language understanding.
What we learn from AI's biases
Our bad AI could be the best tool we have for understanding how to be better people.
Experts reveal infrastructure trends to watch
A new report examines the state of infrastructure and anticipated near-term developments through the eyes of infrastructure experts.
Video
Critical path-driven development
Jaana Dogan explains why Google teaches its tracing tools to new employees and how it helps them learn about Google-scale systems end to end.
Video
Practical ethics
Laura Thomson shares Mozilla’s approach to data ethics, review, and stewardship.
Video
O’Reilly Radar: Systems engineering tool trends
Roger Magoulas shares insights from O'Reilly's online learning platform that point toward shifts in the systems engineering ecosystem.
Video
Chaos Day: When reliability reigns
Tammy Butow explains how companies can use Chaos Days to focus on controlled chaos engineering.
Video
Why marketing matters
Michael Bernstein offers an unflinching look at some of the fallacies that developers believe about marketing.
Best design practices to get the most out of your API
Practical techniques to ensure developers can actually do the things you want them to do using your API.
Video
Practical performance theory
Kavya Joshi says performance theory offers a rigorous and practical approach to performance tuning and capacity planning.
Video
How do DevOps and SRE relate? Hint: They're best friends
Dave Rensin explains why DevOps and SRE make each other better.