Systems | Development | Analytics | API | Testing

What is Quality Assurance in Software Testing?

Quality Assurance (QA) is a typical process for ensuring that the end product of any Software Development Lifecycle (SDLC) corresponds to the overall and scope-agreed-upon objectives. Historically, quality assurance (QA) testing has been introduced rather late in the software development cycle. In a Waterfall process, for example, the software is created and then sent along to the QA team, which provides input and then sends the program back to the development team to be fixed.

Demystifying DataOps - Riding the Change

A well planned data-driven strategy has become the need of the hour in today’s competitive world. In order to deliver the best, businesses need relevant, appropriate and sufficient data at the right time. But the characteristics of data are changing rapidly across volume, variety and variability, which puts enormous pressure on current data management approaches. Thus, dealing with real-time insights from increasing data in an automated manner has become the current focus of many experts. This has resulted in the rise of DataOps.

Scalability Testing Best Practices

Will your software perform well during peak hours? Can it handle the load during sales periods? Is your infrastructure valid if you double your sales by the end of the year? These are just some of the questions that scalability testing can help you answer. Scalability testing evaluates the activity level of your application by upscaling and downscaling the number of users.

Learn how a Healthcare Provider implemented reliable traceability and increased efficiency by 73%

A leading company in the healthcare industry has been providing value and care to its clients worldwide for over 20 years. With more than 5,000 employees, this healthcare provider focuses on developing, manufacturing, and distributing continuous glucose monitoring systems for diabetes management.

How to Get Funnel Insights in Snowflake | Demo

Funnel is a Snowflake partner that collects data from more than 500 marketing apps and platforms, helps you define metrics and aggregations, and normalize the values between providers. Let’s say you are a retailer and you place ads with Google, Bing, Twitter, Facebook, Quora, etc. This means you have an account for each of these ad networks, making it challenging to track all your data, in different places. With Funnel and Snowflake, you can bring and track all that data in one place.

Kong Data Plane Life Cycle With AWS Cloud Development Kit

From the modern application platform perspective, products should allow architects and DevOps teams to support dynamic topologies. That means a multi-platform capability is required but not sufficient. In fact, for several reasons, companies are looking for hybrid deployments to run their applications on several platforms simultaneously. Moreover, the topology should support and adjust for new and continuous architecture changes.

New in Kong Konnect: Support for Okta + More Portal Customization

In February 2021, we announced the GA of Kong Konnect, the first cloud native service connectivity platform that gives organizations the flexibility of protecting their API and service traffic while simultaneously taking advantage of 10x ops improvements via the cloud control plane.

Low-code Automated Web Testing with Sauce Labs

Get started with low code automated web testing on Sauce Labs for any website and web application. Plan, design, execute, schedule, and monitor automated low-code web tests in one place. Make testing faster, more scalable and painless. Generate codeless tests or use plain English to write and automate tests in minutes that capture your intent. Then AI-driven automation generates scripts with self-healing maintenance.