Opinion

The critics are wrong about AWS’s open source approach

Open source contributions aren’t selfless charity but a virtuous intersection of corporate, user, and community benefit. Which is how AWS approaches open source

Why cloud platforms should invest in the promise of Python

Python has emerged as the language developers want to use more than any other for building data-intensive projects. Python now powers some of the most complex applications on the cloud

Thinking about a career switch to data science?

If you are contemplating jumping into data science as a career, here are some key things to consider

Devsecops: Add security to complete your devops process

New data shows that enterprises are moving to devops with integrated security teams, processes, and tools. That should be standard practice

Inside Microsoft’s quantum computing world

Get ready for a whole new—and very cold—way of developing software

Chief architect perspective: What leaders need to know about the rise of bots

What?s hype, what?s hyperbole? Claus Jepsen, chief architect at Unit4 discusses what business leaders really need to know about the coming bots

ETL is dead

ETL is hard. And it's limiting. Unfortunately, there wasn't a better way because of the constraints of data technology. Until now

Centralized security in the cloud is the best security model

Sadly, enterprises don't like the idea of a central trust service in the cloud to secure both their cloud and local systems

The drivers and social responsibility of automation

There’s a tendency to take a negative view where automation is involved. But there are plenty of examples of how automation can reshape our lives in positive ways

AI, IoT, and the hybrid cloud: the triumvirate of IT’s future

The only way to build for this technological union is with a hybrid multi-cloud platform. But what does that look like?

Getting started with Twilio account security using Node.js and MongoDB

A guide to adding two-factor authentication (2FA) to your applications.

What a modern development organization looks like

Find out if your development tools and methods match up to today’s state of the practice—and how that practice will evolve

Welcome to the brave new world of bot-enabled services

How businesses can make the most out of chatbot opportunities

AI and quantum computing: technology that’s fueling innovation and solving future problems

Far from being all about who'll be first to prove its value, it seems to be more about solving real world problems for future generations in hopes of a better world

How to use Redis for real-time metering applications

Take advantage of the open source in-memory database’s built-in data structures and commands to simplify metering at scale

Using Containers to Reduce Public Cloud Costs

The rise and predominance of Apache Spark

Recent surveys and forecasts of technology adoption have consistently suggested that Apache Spark is being embraced at a rate that outperforms other big data frameworks

Intro to robotic process automation

An overview of robotic process automation (RPA): what it is, its different types and the evolution and current adoption of RPA

Now’s the time to do deep learning in the cloud

Machine learning is still all the rage, but the subset called deep learning may hold more value for enterprises

Making sense of Microsoft’s graph database strategy

From the Microsoft Graph to LinkedIn and beyond, Microsoft is betting on a graph database future

Embrace real-time data integration to create positive customer experiences

iPaaS allows enterprises to remain relevant against future disruptions in most changing digital competitive environments

The cloud computing wars have forgotten the enterprise

As they bicker and strut, cloud vendors seem to forget that their customers actually need to get real work done, now

Don’t take Oracle’s cloud-superiority claims too seriously

Oracle’s relatively low investments in cloud computing make it hard to justify its claims of superiority for IaaS and PaaS

How an app marketplace can shorten your workday and advance your career

Customization can increase engineers' value to their teams and lead to new income opportunities down the road.

What developers need to know about concurrency models

Multiprocess, multithreaded, and nonblocking/event-driven approaches affect how you develop and run software that has processes working at the same time.

Data management: beyond just storing bits

As unstructured data grows, opportunity lies in the growing field of data management

What Today’s Overburdened Cloud Architect Needs to Succeed

The best perk to give software engineers

Hint: it isn’t snacks…it’s tools.

Azure Stack: Good private cloud technology that you don’t need

The new private cloud from Microsoft stands out from the competition, but it goes against enterprises’ desire to shrink their datacenters

It’s hangover time for enterprise cloud computing

A new report from 451 Research shows that IT pros are dissatisfied with the service they get and with the difficulty of cloud migrations

5 foolish reasons you’re not using Heroku

If these are the reasons you’re avoiding PaaS and building on AWS, it’s time for a rethink

Why Ansible is the future of Red Hat—and automated devops

OpenShift gets all the attention, but the Ansible configuration automation tool for devops shows how to moving to the future seem boring

When AI takes our jobs, only developers stand a chance

AI, robots, and other automation could put most of humanity on the dole as the jobs evaporate. But these careers could keep you comfortably employed

What real-time application pattern works for you?

3 common real-time application patterns that require a real-time decision

If you don’t make a reservation, you’re going to need to tip the maître d’

Demystifying reserved instances and understanding how you can save money on your cloud bill

The 80/20 data science dilemma

Most data scientists spend only 20 percent of their time on actual data analysis and 80 percent of their time finding, cleaning, and reorganizing huge amounts of data, which is an inefficient data strategy

Right-sizing Public Cloud Instances Can Cut Costs 20%-40%

Hybrid cloud? Private cloud? Public cloud? Multicloud? How to choose

It used to be cloud or no cloud, now it’s an argument around private, hybrid, public, and multicloud architectures. Don’t make the wrong choice

Data storage in Azure: Everything you need to know

Microsoft Azure has many data storage options, so how do you choose what to use? This guide explains the options

8 reasons to develop a progressive web app

While native apps were once the be-all and end-all of mobile, there's a new contender on the block: PWAs

How to recognize (and avoid) ‘AI washing’

With all the upsides resulting from the trend toward using powerful datasets to generate new value, come some clear downsides

5 key challenges for mobile test automation

What are the top test-automation-at-scale challenges your apps will face?

5 great books for devops enthusiasts

If you want to practice devops, you need to have a deep understanding of the principles, values, and concepts that drive it

Preventing a (cloud) mutiny

The massive computing power and costs savings afforded by the cloud are real. Education and training for IT teams and management are critical to success

Chatbots and voice assistants: Often overused, ineffective, and annoying

While it’s cute to talk to your computer, chatbots provide little value to many processes, yet they get an inordinate amount of attention from providers

Solving the cloud placement puzzle requires science, not guesswork

Why the Equifax security threat isn’t over yet

Here's what you can do to make sure your company isn't negatively affected and to protect your company's use of open source code

How to choose a database for your mobile apps

Data synchronization and offline capabilities are key to successful mobile apps. Follow these guidelines to selecting a provider

Visual automated CI/CD is essential for great devops

Devops is where continuous quality improvement (CQI) and other best practice methodologies either fulfill or fail

Today’s software engineering students require a new level of intelligence

Career opportunities are bright for software engineering students, and skills that will be critical to their success include AI, machine learning, and open source expertise