Application Architecture: Page

5 ways to manage multiple data sources for high-performance apps

Applications can pull from and work with data from multiple sources, as long as the app design incorporates these five fundamental data management and mapping techniques.

By Tom Nolle • Feb. 28, 2019

How the Agile paradigm saved app development

Traditional app-dev thinking can lead to modern-day failure. In this excerpt from Scrum -- A Pocket Guide, Gunther Verheyen explains why Agile is a must, not optional.

By Gunther Verheyen • Feb. 27, 2019

Software resilience engineering helps teams quash chaos

What does a nuclear power plant or government team of epidemiologists have to teach software engineers? Quite a lot, if your aim is not just better apps, but more resilient ones.

By George Lawton • Feb. 26, 2019

Enable an antilatency cloud event processing architecture

Event-based applications cannot tolerate unreliable networks or latency. Consider an architecture that puts some event processing local to the source to alleviate cloud traffic.

By Tom Nolle • Feb. 26, 2019

Expect microservices implementation to break down IT norms

No role is safe during a transition to microservices. JP Morgenthal, distributed architecture expert, enumerates the ways in which a microservices implementation shakes up IT teams.

By Meredith Courtemanche • Feb. 22, 2019

Three keys to cloud API management success

Document and authenticate your way to API management success. Here are key elements of a sensible strategy to help you get the benefits of APIs without the headaches.

By Chris Moyer • Feb. 22, 2019

3 ways to grade integration platform-as-a-service vendors

The best iPaaS vendors offer a mix of standardization and flexibility, and they can't leave out compliance. Learn how to compare offerings based on these crucial capabilities.

By Stephen Bigelow • Feb. 22, 2019

How Jenkins X updates this CI/CD tool for the cloud, Kubernetes

Jenkins wasn't built for the cloud or Kubernetes, but that's not so for Jenkins X. Here's how users can keep their favorite CI/CD tool to build modern cloud apps and work with containers.

By Twain Taylor • Feb. 22, 2019

How integration platform as a service stacks up against PaaS and SaaS

IT orgs that face a hybrid mix of apps and data sets can turn to iPaaS for integration -- without the overhead of more software to manage. And there's more than one kind of iPaaS.

By Stephen Bigelow • Feb. 21, 2019

GitHub security bug bounty program stretches to enterprise cloud

GitHub's bug bounty program for 2019 increases the reward money for researchers who find security vulnerabilities in the company's code.

By Darryl Taft • Feb. 21, 2019

TensorFlow.js brings machine learning to JavaScript

Google has delivered a version of its TensorFlow machine learning library to support JavaScript developers, and the technology has proved to be a hit with users.

By Darryl Taft • Feb. 21, 2019

Automate tests with attention to UI, rapid feedback and more

If your app-dev group just can't seem to get automated tests right, you're not alone. Here's how to implement an effective test automation strategy, one piece at a time.

By Matt Heusser • Feb. 19, 2019

How shared Lambda functions help microservices access control

Shared Lambda functions can help combat error message issues that arise when developers create custom authentication and authorization for microservices. Here's how they work.

By Chris Moyer • Feb. 19, 2019

What is white box testing?

White box testing is a software testing methodology in which the code structure is known and understood by the tester.

By TechTarget Contributor • Feb. 19, 2019

Concourse vs. Drone: Pick a CI/CD tool that fits your team

For CI/CD, a software team should weigh how well a tool fits into its existing practices. Drone and Concourse each highlight ease of use and pipeline features.

By Tom Nolle • Feb. 18, 2019

Mendix deepens native integration with IBM Cloud, Watson AI

IBM cloud users gain low-code options, as Mendix's re-engineered platform natively integrates with IBM Cloud services, particularly Watson AI and Kubernetes container orchestration.

By Darryl Taft • Feb. 13, 2019

IBM renews code challenge to stress-test open source projects

IBM's Code and Response challenge builds on last year's Call for Code to apply open source development efforts to actual natural disasters.

By Darryl Taft • Feb. 13, 2019

5 common traps lurking in RESTful development

Unfortunately, many RESTful API developers fall into the same traps during design. Here are five common mistakes that you can avoid with the right planning.

By Tom Nolle • Feb. 11, 2019

Ionic 4 taps Web Components for mobile app development

Ionic 4, a rebuilt version of Ionic's web and mobile development platform, conforms to the Web Components standard and expands support to all popular JavaScript frameworks.

By Darryl Taft • Feb. 8, 2019

test harness

In software development, a test harness is a collection of software and test data used by developers to unit test software models during development.

By Alexander Gillis • Feb. 7, 2019

Monitor APIs with these metrics for smooth app integrations

What user information do you pull in from APIs? Do you even know how well they perform? Dev teams should track these metrics to create and maintain smooth API communication.

By Gerie Owen • Feb. 7, 2019

Evaluate load testing tool features and vendors

Application load testing products come in a variety of forms and their features vary. Read through these specs to find the tool that's right for you.

By Amy Reichert • Feb. 6, 2019

How to use Jira as a test management tool

While Atlassian Jira is a common tool to manage software projects, Amy Reichert's team uses it to manage tests. She details snags you might encounter with test cases and management.

By Amy Reichert • Feb. 5, 2019

3 ways to test in production promptly and productively

As much as Agile and DevOps changed development, they also shifted testers' roles -- to the right. Gerie Owen offers three ways to evaluate apps in production to find failures.

By Gerie Owen • Feb. 5, 2019

Kite boosts Python code completion with machine learning

Software development tools startup Kite applies machine learning models to help developers automate the process of completing lines of code in real time.

By Darryl Taft • Feb. 4, 2019