Google has recently announced the preview of Backup for GKE, a cloud-native way to protect, manage, and restore containerized applications and data running on Kubernetes.
Pinecone recently introduced version 2.0 of its vector similarity search solution aiming to make it easier for companies to build recommendation systems, image search, and similar applications. InfoQ has taken the chance to speak with Edo Liberty, founder and CEO of Pinecone.
In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Ken Kousen, Java Champion, NFJS speaker, and author of Kotlin Cookbook, Modern Java Recipes, Making Java Groovy, and Gradle Recipes for Android about his new book Help Your Boss Help You.
Each QCon software conference is individually organized by a committee of senior software leaders who work across a wide spectrum of technology. We recently interviewed Randy Shoup, VP engineering and chief architect at eBay & QCon Plus November 2021 Committee Member, who shared some of the tracks he is looking forward to at the event this November.
Last month, Litmus 2.0 was released for general availability, with the goal of simplifying chaos engineering by adding new features like chaos center, chaos workflows, GitOps for chaos, multi-tenancy, observability, and private chaos hubs. InfoQ interviewed Umasankar Mukkara, CEO of ChaosNative and co-creator and maintainer of Litmus engineering platform.
At Spring One 2021, VMware described how Spring 6, planned for an October 2022 release, prepares the framework for another decade: it will require Java 17 and Jakarta EE 9, provides first-class support for Java modules and native compilation, bakes observability into Spring, and drops outdated features and third-party integrations. Spring Boot 3 will use Spring 6 but has no release date yet.
Aysylu Greenberg discusses what needs to be collected to allow DevOps to inspect and verify the integrity of the supply chain, some of the existing solutions and open problems in this space.
As someone with a non technical background, Charu Bansal, has navigated the imposter syndrome in her career, often wondering what value she could bring to security. In her talk at The Diana Initiative 2021, she showed how having a diverse perspective helped her to solve challenging security problems as she pivoted from a non-technical career into information security.
Anbox Cloud is a solution from Canonical that lets you stream Android apps at scale to any device. The new Anbox Cloud Appliance makes a small-scale version of Anbox Cloud readily available on the AWS marketplace. InfoQ has taken the chance to speak with Simon Fels, engineering manager at Canonical and Anbox Cloud team lead.
Uber Engineering recently published how it collects, standardises and uses data from the Uber Rider app. Rider data comprises all the rider's interactions with the Uber app. This data accounts for billions of events from Uber's online systems every day. Uber uses this data to deal with top problem areas such as increasing funnel conversion, user engagement, etc.
The adoption of Agile methods has been steadily growing in medical product companies over the past ten years. Practices vary from cloud-based continuous flow for data-intensive services to sprint-based for physical devices with embedded software. The question is no longer whether, but how Agile can work in medical product development - for our mix of technical, market, and regulatory constraints.
Object Computing, Inc. has released Micronaut 3.0 featuring the removal of a default reactive streams implementation, a change in annotation inheritance and HTTP compile-time validation. This release was a culmination of work to resolve design faults of the past to make the framework more intuitive and adaptable to future requirements.
The Lit Team recently released Lit 2.0, more than two years after Lit 1. Lit 2 features a new API for custom directives that include asynchronous directives. Lit 2 users will also be able to use reactive controllers to encapsulate reusable reactive logic.
Facebook AI Research (FAIR) recently open-sourced Multiscale Vision Transformers (MViT), a deep-learning model for computer vision based on the Transformer architecture. MViT contains several internal resolution-reduction stages and outperforms other Transformer vision models while requiring less compute power, achieving new state-of-the-art accuracy on several benchmarks.