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Modern Software Needs Modern Testing: The Test Toolchain, AI, and Risk-Based Thinking

Web and mobile apps are now organizations’ primary connection with their customers. Staying relevant and winning market share requires that firms can make constant changes to these apps. However, can organizations deploy many more small changes - often many per day - with confidence and with managed risk? We'll take a closer look at how a modern testing toolchain combines both production safety nets - from canaries, to feature flags, to error reporting - with pre-production intent validation tools for both developers and quality assurance/quality engineering. We can see how it is possible to measure and predict and limit the risk of a change by using AI.

How to Test and Delivery Secure Mobile Apps in the New Era of Finance

Today, over 90% of global internet users access the internet via a mobile device. This trend continues in the financial services industry - in a recent survey by Business Insider, nearly 80% of respondents say mobile is the primary way they access their bank account. To attract and retain customers, it’s therefore necessary for financial services organizations to deliver reliable, secure, and easy to use mobile apps.

Top 15 List of Automation Testing Tools | Latest Update in 2022

Automation testing tools are applications designed to verify function and/or non-functional requirements via automated test scripts. With the Agile and DevOps manifesto as the standard of software testing, setting a clear-cut automation testing tools evaluation strategy is key. Ultimately, this strategy will need to answer the questions of: Plus, there isn’t really a one-size-fits-all automation tool. It really boils down to your team’s specific needs.

Testing Serverless APIs on AWS

​​ Recently AWS made the new ARM processors for Lambda functions generally available. With that change Serverless functions now use Graviton2, said to offer better performance at lower cost. I built a sample API on AWS using API Gateway and Lambda, and I wrote two endpoints, one CPU-intensive (calculating Pi using Leibniz's formula), the other a typical data transfer endpoint (returning an arbitrary number of bytes). Two very different endpoints for my experiment.

Quality Engineering Discussions: 5 Questions with George Ukkuru

George Ukkuru is a seasoned technocrat and AVP of quality engineering, DevOps, and SRE @Marlabs Inc. Over the course of two decades, he has helped Fortune 500 companies implement Agile testing practices. He has also authored a number of books on quality engineering and test automation. In this QnA, Ukkuru lays out the scope and depth of his experience without even trying.

Deploying a Multi-Cloud API Gateway on AWS and GCP

After you’ve built your microservices-backed application, it’s time to deploy and connect them. Luckily, there are many cloud providers to choose from, and you can even mix and match. Many organizations, like Australia Post, are taking the mix-and-match approach, embracing a multi-cloud architecture. The microservices that make up a system no longer have to stay on a single cloud.