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Dissecting Automated Functional Testing - How to Learn Automated Testing in 2022?

Functional testing feels like the bane of one’s existence when things are running on a deadline. No matter the codebase or structure, there’s just so much to do. It also takes a ton of time if you’re doing it manually, and the inefficiency is an atrocity. As one of the final steps before deployment (usually before the non-functional tests start), we have to test everything relating to the functional requirements of the software.

The era of Low-code/No-code platforms: What you should know?

We all are witnessing the growth and evolution of low-code/no-code platforms. Few might still be confused about what this is all about. Don’t feel intimidated, you are not alone, many people are unfamiliar with these terms. This blog will give a gist of it to understand the current revolution of low-code and no-code platforms/tools. We can see more in detail about the history, features, merits, and demerits and how can you adapt and start using them in your organizations.

8 Best Zephyr Alternatives [In-Depth Comparison 2022]

Working in software development as a tester, it can be difficult to find time to improve the testing process when you are the bottleneck to release with lots of tickets, stories or features to test. I am currently a QA Lead at Cera Care, one of the fastest growing healthcare startups in Europe. Working in this fast moving environment is very challenging for my team, where features are prioritised over anything else and teams have up to 6 developers to 1 QA engineer.

Building CRUD REST API With Node.js, Express.js, and PostgreSQL

Knowing how to deal with APIs to allow communication between software systems is essential if you're a web developer. This article will show you how to develop a CRUD REST API in a Node.js environment using an Express.js server and a PostgreSQL database. We'll go over how to use node-postgres to connect an Express.js server to PostgreSQL. The API will support HTTP request methods that correlate to the PostgreSQL database from which it gets its data.

Marketing Automation Tools to Set up Before You Go on Vacation

Vacation season is upon us, and lots of business owners are looking forward to a well-deserved time-off. Yet, most of them are also struggling with anxiety as vacationing means leaving their business behind, and everyone knows that the worst things happen when you are not looking. To minimize those risks and keep your heart at ease when enjoying your vacations, try marketing automation.

Announcing new BigQuery capabilities to help secure sensitive data

In order to better serve their customers and users, digital applications and platforms continue to store and use sensitive data such as Personally Identifiable Information (PII), genetic and biometric information, and credit card information. Many organizations that provide data for analytics use cases face evolving regulatory and privacy mandates, ongoing risks from data breaches and data leakage, and a growing need to control data access.

Introducing Firehose: An open source tool from Gojek for seamless data ingestion to BigQuery and Cloud Storage

Indonesia’s largest hyperlocal company, Gojek has evolved from a motorcycle ride-hailing service into an on-demand mobile platform, providing a range of services that include transportation, logistics, food delivery, and payments. A total of 2 million driver-partners collectively cover an average distance of 16.5 million kilometers each day, making Gojek Indonesia’s de-facto transportation partner.

Local Kubernetes Environments: Part 2

Kubernetes shouldn’t be reserved for production. Using local Kubernetes in development means you can build and test your service using the same technologies as your live deployments. Some organizations provide a shared Kubernetes cluster for development activities. Others offer on-demand virtual clusters that serve staging environments for significant changes.

Machine Learning Experiment Tracking from Zero to Hero in 2 Lines of Code

In your machine learning projects, have you ever wondered “why is model Y is performing better than Z, which dataset was model Y trained on, what are the training parameters I used for model Y, and what are the model performance metrics I used to select model Y?” Does this sound familiar to you? Have you wondered if there is a simple way to answer the questions above? Data science experiments can get complex, which is why you need a system to simplify tracking.

5 Highlights from Snowflake Summit 2022

It’s that time of year again. Conference season is upon us! And, for the first time in what feels like a lifetime, the data ecosystem is getting back together in person. It couldn’t come at a more important time. The decade of data is upon us, as we unveiled at our own customer conference Beyond 2022. The opportunity is greater than ever before. So, too, is the need to change.