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Development

Featured in Development

Blazing Fast, Minimal Change - Speed Up Your Code by Refactoring to Rust

Lily Mara takes an existing codebase and rewrites part of it in Rust, focusing on writing a Rust reimplementation, cross-language regression testing, performance benchmarking of the new code.

All in development

Architecture & Design

Featured in Architecture & Design

A Simple Framework for Architectural Decisions

This article describes a framework for making architectural decisions using three building blocks: The company's own Technology Radar; Technology Standards; and Architecture Decision Records (ADRs). The framework clarifies decision-making, team involvement, and information on already made decisions and aligns with the company's needs and culture.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Orchestrating Hybrid Workflows with Apache Airflow

Ricardo Sueiras discusses how to leverage Apache Airflow to orchestrate a workflow using data sources inside and outside the cloud.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

How Visual Thinking Can Help Teams Get Clarity, Be More Creative, and Have More Inclusive Meetings

Visual thinking is a way of making sense of the world through images, putting thoughts into pictures. This article is here to help you understand about visual thinking, and how you could use it to support yourself, your teams to create a more inclusive, creative and collaborative culture at work.

All in culture-methods

DevOps

Featured in DevOps

Improving CI/CD Pipelines Through Observability

CI/CD pipelines are a vital addition to any workflow but they can be further improved by the selective addition of observability. This article covers what data to monitor, which metrics to track, and how to best visualize the collected data.

All in devops

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AI, ML & Data Engineering

Google’s Tensorflow Roadmap Includes Better XLA Compilation and Distributed Computing

Google announced the next iteration of TensorFlow development. TensorFlow is the machine learning platform developed by Google and open sourced seven years ago. The development road-map for the next TensorFlow releases is based on four pillars: fast and scalable, applied machine learning, ready to deploy and simplicity.

Claudio Masolo
on Oct 28, 2022
AI, ML & Data Engineering

How the Sequence of Characters in a Name Can Predict Race and Ethnicity

Gaurav Sood, Principal Data Scientist at Microsoft, recently spoke at the AnacondaCon 2019 Conference on how to use the sequence of characters in a person's name to predict that person's race and ethnicity, using machine learning techniques.

Srini Penchikala
on Apr 26, 2019

Topics

Blazing Fast, Minimal Change - Speed Up Your Code by Refactoring to Rust

A Simple Framework for Architectural Decisions

Orchestrating Hybrid Workflows with Apache Airflow

How Visual Thinking Can Help Teams Get Clarity, Be More Creative, and Have More Inclusive Meetings

Improving CI/CD Pipelines Through Observability

Helpful links

Choose your language

News

Google’s Tensorflow Roadmap Includes Better XLA Compilation and Distributed Computing

How the Sequence of Characters in a Name Can Predict Race and Ethnicity

Blazing Fast, Minimal Change - Speed Up Your Code by Refactoring to Rust

Stack Overflow Sentiment Survey Aims to Identify Experimental and Proven Technologies

Server-Side Swift Gets Swift Certificates and Swift ASN.1 Packages

A Simple Framework for Architectural Decisions

Distributed Application Runtime (Dapr) v1.10 Released

LinkedIn Improves Development Productivity by 10x by Implementing a Messaging Client-Side SDK

Green Software Development - What Can You Do Now, and Where is the Industry Heading?

Improving Developer Experience in Non-Technical Organisations with BMK

How Visual Thinking Can Help Teams Get Clarity, Be More Creative, and Have More Inclusive Meetings

Orchestrating Hybrid Workflows with Apache Airflow

AWS and NVIDIA to Collaborate on Next-Gen EC2 P5 Instances for Accelerating Generative AI

Google Uses AutoML to Discover More Efficient AI Training Algorithm

Survey on Supply Chain Practices Finds Perceived Usefulness of Practice Correlates with Adoption

AWS Announces Kubernetes 1.25 Support for EKS

Improving CI/CD Pipelines Through Observability

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