The DevOps lifecycle is a set of continuous and collaborative practices that bridge the gap between software development and IT operations, promoting seamless integration, automation, and faster delivery of software. The DevOps lifecycle phases include.

Banking, financial service, and insurance (BFSI) applications are complex due to their heavily regulated nature. Beyond the commonly known test cases, QA teams must also consider industry-specific test scenarios to do BFSI testing well. This means that testers must equip themselves with two skill sets: testing knowledge and BFSI domain knowledge.

Learn how new SQL functions for BigQuery JSON give you more capabilities in dealing with JSON data.

QR codes have entirely transformed how businesses connect with their customer base. These intriguing square-shaped codes house embedded information that can be effortlessly scanned using smartphones, directing users to specific websites, enticing landing pages, or irresistible promotional offers. The versatility of QR codes knows no bounds as they seamlessly integrate into many marketing campaigns, ranging from product packaging and print advertisements to innovative business cards and beyond.

Let’s start with some absolutes. Maintaining a steady CI/CD pipeline is crucial to modern software development. Testing and quality engineering principles that drive solid deliverables should be flexible and agile. QA teams need hundreds of device and O/S combinations. With those non-negotiables in mind, how would you implement a flexible device architecture to support ongoing and evolving needs to assess mobile and web applications?

The adoption of Internet of Things (IoT) devices continues rapidly. When you look at what businesses gain from their IoT implementations, it's easy to see why. IoT enhances an organization's operational efficiency by monitoring or automating key business processes. Maintenance, manufacturing, and supply chain have all been revolutionized by IoT. The wealth of data generated by IoT devices bolster business intelligence and data analytics. And that leads to a better understanding of the customer experience.