WHY IT MATTERS: Digital Transformation

Gartner has recently started talking about a new integration technology called the “event broker”.  As you may have guessed from the name ;), it’s a category of brokers and streaming technologies that move and govern events across applications, devices and processes.

Want to learn more? Check out this video. It explains what an event broker is, how they are categorized and why you might need one.

In our 35-criterion evaluation of enterprise architecture management suites (EAMS) providers, we identified the 12 most significant ones — Ardoq, Atoll Technologies, Avolution, BiZZdesign, BOC Group, LeanIX, MEGA International, Orbus Software, Planview, QPR Software, Software AG, and UNICOM Systems — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals select the right one for their needs.

Computer vision turns imaging into a universal input - it lets computer see. So what kinds of things will become vision problems, and how does that change Google or Instagram?

Learn to maximize your use of Google Cloud by adopting a cloud-native architecture.

For the 5th year, we've run The Stackies Awards, where marketers send in a single slide that illustrates their 'stack' — the collection of marketing technology tools they use and how they conceptualize them together. We received 48 entries this year, and some truly incredible ones. Airstack graciously sponsored the awards this time. And, as promised, we've gladly made a donation of $4,800 to Girls Who Code on behalf of the 48 entrants ABinBev, Airstream, Alliant Credit Union, Artemis Health, BraunAbility, Esri, G Adventures, Juniper Networks, Lola, Nationwide Advisory Solutions, Paychex, Racing Post, Sargento Foods, The Telegraph, Tennant, and the

This report presents LibraBFT, a robust and efficient state machine replication system designed for the Libra Blockchain. LibraBFT is based on HotStuff, a recent protocol that leverages several decades of scientific advances in Byzantine fault tolerance (BFT) and achieves the strong scalability and security properties required by internet settings. LibraBFT further refines the HotStuff protocol to introduce explicit liveness mechanisms and provides a concrete latency analysis. To drive the integration with the Libra Blockchain, this document provides specifications extracted from a fully-functional simulator. These specifications include state replication interfaces and a communication framework for data transfer and state synchronization among participants. Finally, this report provides a formal safety proof that induces criteria to detect misbehavior of BFT nodes, coupled with a simple reward and punishment mechanism.

We present Move, a safe and flexible programming language for the Libra Blockchain. Move is an executable bytecode language used to implement custom transactions and smart contracts. The key feature of Move is the ability to define custom resource types with semantics inspired by linear logic: a resource can never be copied or implicitly discarded, only moved between program storage locations. These safety guarantees are enforced statically by Move’s type system. Despite these special protections, resources are ordinary program values — they can be stored in data structures, passed as arguments to procedures, and so on. First-class resources are a very general concept that programmers can use not only to implement safe digital assets but also to write correct business logic for wrapping assets and enforcing access control policies. The safety and expressivity of Move have enabled us to implement significant parts of the Libra protocol in Move, including Libra coin, transaction processing, and validator management.

The Libra Blockchain is a decentralized, programmable database designed to support a low-volatility cryptocurrency that will have the ability to serve as an efficient medium of exchange for billions of people around the world. We present a proposal for the Libra protocol, which implements the Libra Blockchain and aims to create a financial infrastructure that can foster innovation, lower barriers to entry, and improve access to financial services. To validate the design of the Libra protocol, we have built an open-source prototype implementation — Libra Core — in anticipation of a global collaborative effort to advance this new ecosystem.

To get a deeper understanding of the lifecycle of a Libra transaction, we will follow a transaction on its journey from being submitted to a Libra validator to being committed to the Libra Blockchain. We will then “zoom-in” on each logical component of a validator and take a look at its interactions with other components.

The Libra Blockchain is a cryptographically authenticated distributed database, and it is based on the Libra protocol. This document briefly describes the key concepts of the Libra protocol. For a detailed description of all the elements of the Libra protocol, refer to the Libra Blockchain technical paper

Open source software (OSS) is becoming increasingly popular, but gaining insight into its structural quality and understanding post-integration implications remain major challenges. This research digs deeper into these issues and aims to provide Software Intelligence on the structural quality of OSS commonly used by businesses or embedded as part of bespoke systems.

One way to avoid fly-by architecture is to have a set of principles that are generally accepted, which become the anchor for discussion as well as learning path for budding architects.

In this recorded briefing RSG founder Tony Byrne takes you on a tour of a new reference model for the omnichannel era. Tony shows you how to guide your future stack investments towards supporting omnichannel needs, and what this means for content, data, decisions, and operations. If you manage one of these tech stacks, this is a must-see educational session.

This document is intended to help those with a basic knowledge of machine learning get the benefit of Google's best practices in machine learning. It presents a style for machine learning, similar to the Google C++ Style Guide and other popular guides to practical programming. If you have taken a class in machine learning, or built or worked on a machine­-learned model, then you have the necessary background to read this document.

IT operations teams struggle to maintain service quality when they apply legacy approaches to monitoring. Infrastructure and operations leaders responsible for monitoring should take the steps outlined here to increase their effectiveness and limit their exposure to challenges raised by the cloud.

A simple introduction for those who always wanted to understand machine learning. Only real-world problems, practical solutions, simple language, and no high-level theorems. One and for everyone. Whether you are a programmer or a manager.

The Technology Radar is an opinionated guide to technology frontiers. The Radar captures the output of the Technology Advisory Board’s discussions in a format that provides value to a wide range of stakeholders, from developers to CTOs. The content is intended as a concise summary.

For the past few months Tesla has been slowly sharing details of its upcoming “Hardware 3” (HW3) changes soon to be introduced into its S/X/3 lineup. Tesla has stated that cars will begin to be built with the new computer sometime in the first half of 2019, and they have said that this is a simple computer upgrade, with all vehicle sensors (radar, ultrasonics, cameras) staying the same. Today we have some information about what HW3 actually will (and won’t) be.

I usually avoid the A-word (architecture) because it's such a slippery term. In this case I'll be following my preferred definition of architecture - "the important stuff (whatever that is)" - from Ralph Johnson. This means I'll talk about what I think is interesting about the system's design, based both on my judgement and on the judgement of the team that's been involved in its development.

This is an industry report designed to establish benchmarks for how organizations are developing and maintaining the quality of software in 2018.

Whether it was here on Hackaday or elsewhere on the Internet, you’ve surely heard more than a few cautionary tales about the “Internet of Things” by now. As it turns out, giving every gadget you own access to your personal information and Internet connection can lead to unintended consequences. Who knew, right? But if you need yet another example of why trusting your home appliances with your secrets is potentially a bad idea, [Limited Results] is here to make sure you spend the next few hours doubting your recent tech purchases.

More than 1,300 people mainly working in the tech, finance and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.

Test-driven development, or TDD, involves writing tests first then developing the minimal code needed to pass the tests. TDD is an established practice for feature development that can improve code quality and test coverage. What about other, non-functional requirements such as scalability, reliability, observability, and other architectural “-ilities”? How do we ensure operability and resiliency of features when they go to production? How can we encourage teams to build in these architectural standards, just as test-driven development builds in code quality and test coverage?

Now you can add state of the art machine learning features to your applications. Production ready Docker containers that you can run, deploy, and scale.