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Development

Featured in Development

Compiled, Typed, Ruby-Inspired Crystal Language is Ready for Production - Q&A with Beta Ziliani

The Crystal language is ready for production, 12 years after inception. Crystal is compiled for performance, typed for safety, and Ruby-like for productivity. Due to the strong type inference, developers need only sparse type annotations. We interviewed the head of the Crystal team on the language tradeoffs, the present features and the language roadmap.

All in development

Architecture & Design

Featured in Architecture & Design

Local-First Cooperation

Why do two local devices need the cloud to be able to communicate? Shouldn't we be able to enable robust cooperation between nearby computing devices? This idea is the realm of local-first cooperation. In what follows, the author discusses the technologies used to make it function and a few places where work is still needed.

All in architecture-design

AI, ML and Data Engineering

Featured in AI, ML & Data Engineering

Why a Serverless Data API Might Be Your Next Database

In this article, author Pieter Humphrey discussed database as a service (DBaaS) and serverless data API for cloud based data management.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Aino Corry on Retrospective Antipatterns

In this podcast Shane Hastie, Lead Editor for Culture & Methods, spoke to Aino Corry about common retrospective antipatterns and how to overcome them.

All in culture-methods

DevOps

Featured in DevOps

Key Metrics to Track and Drive Your Agile Devops Maturity

To promote DevOps and Agile process improvement, a meaningful set of metrics should be tracked. In this article we will discuss which metrics are appropriate based on the stage of the culture change. Coupling these metrics with strong support from leadership will ensure the best improvements in team measures such as cycle time, deployment frequency, and software quality.

All in devops

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Prevent Cloud and Serverless security challenges Virtual Event on June 22, 2021, 9 am EDT / 3 pm CEST

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Your monthly guide to all the topics, technologies and techniques that every professional needs to know about. Subscribe for free.

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AI, ML & Data Engineering

Google Announces Beta Launch of Cloud AI Platform Pipelines

Google Cloud Platform (GCP) recently announced the beta launch of Cloud AI Platform Pipelines, a new product for automating and managing machine learning (ML) workflows, which leverages the open-source technologies TensorFlow Extended (TFX) and Kubeflow Pipelines (KFP).

Anthony Alford
on Mar 24, 2020
AI, ML & Data Engineering

Apache Flink 1.0.0 is Released

InfoQ's Rags Srinivas caught up with Stephan Ewen, a project committer for Apache Flink about the 1.0.0 Release and the roadmap

Rags Srinivas
on Mar 24, 2016

Topics

Compiled, Typed, Ruby-Inspired Crystal Language is Ready for Production - Q&A with Beta Ziliani

Local-First Cooperation

Why a Serverless Data API Might Be Your Next Database

Aino Corry on Retrospective Antipatterns

Key Metrics to Track and Drive Your Agile Devops Maturity

Helpful links

Choose your language

News

Google Announces Beta Launch of Cloud AI Platform Pipelines

Apache Flink 1.0.0 is Released

Take Your Technical and Non-Technical Skills to the Next Level: Join Us at QCon Plus

New Exploit Breaks Current Spectre Defenses; Fixes Hard without Performance Impact

Compiled, Typed, Ruby-Inspired Crystal Language is Ready for Production - Q&A with Beta Ziliani

Local-First Cooperation

Phil Estes on Containerd, including K8s Deprecation of Dockershim, Container Runtime Architecture

Airbnb Builds Himeji - a Scalable Centralized Authorization System

Aino Corry on Retrospective Antipatterns

The Flow System: Leadership for Solving Complex Problems

Adding Security to Testing to Enable Continuous Security Testing

Researchers Publish Biologically Plausible AI Training Method

Why a Serverless Data API Might Be Your Next Database

Facebook Announces ZionEX Platform for Training AI Models with 12 Trillion Parameters

Aqua Security's Latest Report Highlights Increase in Cloud Attacks

How GitHub Leverages Feature Flags to Ship Quickly and Safely

Key Metrics to Track and Drive Your Agile Devops Maturity

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