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Development

Featured in Development

Reproducible Development with Containers

Avdi Grimm describes the future of development, which is already here. Get a tour of a devcontainer, and contrast it with a deployment container.

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Architecture & Design

Featured in Architecture & Design

Using GraphQL and Ballerina with Multiple Data Sources

The Ballerina programming language is well-suited to developing GraphQL applications, due to the network abstractions, network-aware type system, clear data representations, and visual diagrams. This article discusses the benefits of GraphQL and Ballerina, and walks through a sample application that retrieves data from a database and a 3rd-party API.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

API Friction Complicates Hunting for Cloud Vulnerabilities. SQL Makes it Simple

APIs can tell you everything about your cloud infrastructure but they're hard to use and work in different ways. What if you could write simple SQL queries that call APIs for you and put results into a database? Steampipe, an open-source project that maps APIs to Postgres foreign tables, makes that dream come true. It's hard enough to reason over data. Acquiring it should be easy, and now it is.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

It’s Time to Start Growing No-Code Developers

It’s time to start training and promoting people to be “business application no-code developers.” Why? Because everyone who manages a system is now a “developer,” whether they were trained that way or not. And if you don’t do this, your company will run into insurmountable problems when scaling its systems. Read this advice from a CTO on how your org can catch up.

All in culture-methods

DevOps

Featured in DevOps

Making Sense of Application Security

Adib Saikali provides a roadmap for application developers and architects to master application security, identifying the security skills needed as an application developer.

All in devops

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Cloud

Why AWS Lambda Pricing Has to Change for the Enterprise

AWS Lambda users pay only when their code is run. This can result in massive cost savings over long-running workloads. The advantages start to disappear quickly when AWS Lambda is employed for batch processing. Enterprises can gain significantly from the scalability of FaaS - yet a price comparison between EC2, Lambda, and Fargate, the AWS-managed container service, reveals an ugly truth.

Eoin Shanaghy
on Apr 08, 2021
AI, ML & Data Engineering

Rethinking Flink’s APIs for a Unified Data Processing Framework

Since its very early days, Apache Flink has followed the philosophy of taking a unified approach to batch and streaming. The core building block is the “continuous processing of unbounded data streams, with batch as a special, bounded set of those streams.” Recent updates to the Flink APIs include architectural designs by the community to support batch and streaming unification in Apache Flink.

Aljoscha Krettek
on Sep 16, 2019
Java

Introducing Spring XD, a Runtime Environment for Big Data Applications

Spring XD (eXtreme Data) is Pivotal’s Big Data play. It joins Spring Boot and Grails as part of the execution portion of the Spring IO platform. Whilst Spring XD makes use of a number of existing Spring projects it is a runtime environment rather than a library or framework, comprising a bin directory with servers that you start up and interact with via a shell.

Charles Humble
on Jul 23, 2014 2

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