What's on our radar.
Dave Andrews explains how to wield the power of a global 50 Tbps application delivery network to ensure maximum availability during and after a change.
David Hayes explains why adding a manageable dose of actionable intelligence to your operations management workflow can save you time and aggravation.
Historic Handwriting Recognition, Proving Security, Formal Methods, and Dank Memes
Bryan Liles explains how to evaluate and integrate new declarative application management practices into continuous integration pipelines.
Focusing on a mix of artificial, scientific, and environmental sensing data, Aurelia Moser explores fantasy and farcical mapping.
Nicole Forsgren shares results and stories behind high-performing technology-driven teams and organizations.
Kyle Kingsbury explores anomalies in three distributed systems and shares strategies for correctness testing using Jepsen.
Brendan Eich shares his thoughts on the future of the web, cryptocurrency, browsers, and JavaScript.
Tracy Lee helps you think differently about how to increase diversity in technology with open source.
Addy Osmani explains why JavaScript is the most expensive resource your site uses today—especially on mobile.
Julia Grace shares how she learned to rapidly scale herself and her leadership team during a period of hypergrowth at Slack.
Brendan Eich asks what it would mean to the web if we start building products, apps, and systems that are private by default.
Cory Doctorow fields questions on the future of the web, privacy, and net neutrality.
Scott Davis explains why accessibility should be just as important to you as a mobile design strategy was 10 years ago.
Lin Clark explains what browser vendors need to do over the next few years to ensure their browsers, and the web itself, meet upcoming demands.
Watch highlights covering JavaScript, accessibility, privacy, and more. From the O'Reilly Fluent Conference in San Jose 2018.
Martin Woodward shares key data points from Microsoft's journey to DevOps.
Kris Nova looks at the four metrics that help you decide if running stateful applications in Kubernetes is worth the risk.
Kyle York explores the scale, complexity, and volatility of the internet and the risk it poses to your applications and infrastructure.
Maggie Pint explains how bad date support in JavaScript took her from making HR software to working as an Azure SRE.
Cherie Wong shares common developer pain points and recipes to solve them using AWS.
Javier Garza details the ingredients you need to build and deliver an app your users will love.
Natalie Silvanovich discusses the link between feature complexity, developer error, and security vulnerabilities.
Renee Orser explains how to monitor the human networks within your engineering teams using models similar to your distributed technology systems.
Watch highlights covering infrastructure, DevOps, security, and more. From the O'Reilly Velocity Conference in San Jose 2018.
Cory Doctorow says the right to configure technology is the signature right of the 21st century.
Tamar Bercovici details how the team at Box has constructed its database stack to handle an ever-growing query load and data set.
A look at a few ways to evaluate whether or not a design achieves what it set out to do.
Practical advice for software engineers and security consultants.
The benefits of modeling data as events as a mechanism to evolve our software systems.
Taking blockchain technology private for the enterprise.
How to identify when a fit has been achieved, and how to exit the explore stage and start exploiting a product with its identified market.
An overview of common design patterns for navigation that will ensure users can find and use features in an application.
An overview and framework, including tools that can be used to enable automation.
The O’Reilly Data Show Podcast: Ashok Srivastava on the emergence of machine learning and AI for enterprise applications.
Find new ways to gain insight into how your users interact.
Cast your vote for the top open source projects and communities through June 29.
Use cases of AI and ML to help businesses build better defenses today and in the near future.
Get hands-on training in machine learning, Python, Java, Kubernetes, product management, and many other topics.
This collection of AI resources will get you up to speed on the basics, best practices, and latest techniques.
The O’Reilly Podcast: Tammy Butow and Annie Lau on the importance of creating a culture of learning.
Why model development does not equal software development.
Considerations based on experience with Fortune 500 clients.
When we finally find the best use cases for blockchains, they may look like nothing we would have expected.
Learn design best practices and where conversational AIs are headed in the future.
A commitment to multi-modal learning is better than grasping for single-modality solutions that don’t deliver.
Recipes that deal with various aspects of troubleshooting, from debugging pods and containers, to testing service connectivity, interpreting a resource’s status, and node maintenance.
Ben Brown on why messaging design will become as important as responsive design.
Having worked in both research and industry, Mikio Braun shares insights into what's the same, what's different, and how deep learning might change the game.
Christine Foster discusses how today’s academic papers turn into tomorrow’s data science.
Zubin Siganporia explains how the KISS principle (“Keep It Simple, Stupid”) applies to solving problems and convincing end-users to adopt data-driven solutions to their challenges.
Louise Beaumont explores the five characteristics of companies that choose to succeed.
Martha Lane Fox considers the unintended consequences of technology.
One of our goals is to bring Jupyter’s enterprise use cases and practices into one place.
The O’Reilly Data Show Podcast: A special episode to mark the 100th episode.
Successful projects will think seriously about what blockchains mean, and how to use them effectively.
The personal robot temi refactors robotic human behaviors we encounter in the “iPhone Slump,” and moves those back to actual robots.
Jean-François Puget explains why human context should be embraced as a guide to building better and smarter systems.
Ben Lorica looks at the problems we’re facing as we collect and store data, particularly when our machine learning models require huge amounts of labeled data.
May 25 is an important day for data protection in the EU and elsewhere. Alison Howard explains how Microsoft has prepared for May 25 and beyond.
Watch highlights covering machine learning, GDPR, data protection, and more. From the Strata Data Conference in London 2018.
Mick Hollison, Sven Löffler, and Robert Neumann explain how Deutsche Telekom is harnessing machine learning and analytics in the cloud to build Europe’s largest IoT data marketplace.
Pierre Romera explores the challenges in making 1.4 TB of data securely available to journalists all over the world.