Debugging APIs can be a challenge for any developer dealing with RESTful APIs. Trying to create an exact API request, especially for highly complex requests with large API request bodies and multiple headers, is essential but also tough to do. By using a tool like Postman to create a request for debugging purposes and as an API client, you can easily replay an API request with the exact configuration of the original request.

In today’s digital age, robust and faster data analytics is essential for your organization’s growth and success. The faster you deliver analytics-ready data to your analyst, the faster they can analyze and derive insights. Though you would have adopted the ELT process with EL data pipelines to load data quickly to the warehouse, your team would still face inefficient and delayed analysis.

After you successfully build and test your app, you may want to upload the build to TestFlight or the App Store. Sometimes, you may face an unknown authentication error that makes it difficult for you to upload the iOS binary to App Store Connect. You may even face an authentication error after using a valid App Store API key. If you’ve faced this problem, you’re not alone.

The concept of someone else being responsible for your code is a huge relief. As a developer, having someone else handle the burden of managing the entire infrastructure that runs my code gives me more time to deal with the actual development. Serverless technology benefits more than just the sole developer. It reduces cost by automatically adjusting resource allocation, abstracts both network and server management, saves complexity, and improves the overall application performance.

Welcome to the Spring 2022 Edition of the Modern Data Stack Ecosystem. In this article, we’ll provide an in-depth look at the Modern Data Stack (MDS) ecosystem, updated from our Fall 2021 edition. We also highly recommended our article, The Future of the Modern Data Stack, to anyone who is new to the MDS and wants to learn about its history.

What’s SEMrush and which features work best for tracking and improving your search rankings? Here’s everything you need to know.

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QA teams and developers have started shifting focus to an open-source test automation tool and framework. Open-source test automation frameworks incorporate the most effective software testing techniques, tools, assumptions, and libraries that may be utilized by many teams. Aside from Selenium test automation framework, another prominent automation testing tool is Cypress.io.

In the past two weeks, this series has taken a look at how often consumers encounter errors while browsing online and some of the behaviors a user will display when discovering a bug. If you’re new to the party, I’ll encapsulate it here by saying mobile apps are rife with coding issues and the vast majority of consumers have little to no tolerance for low-performing software. What we haven’t discussed yet is the ripple effect of one user encountering a problem.

To this point, AI has been applied to augment analytics in a somewhat bifurcated fashion. On one hand, we have seen natural language support the business consumer that requires simple answers to known questions, helping them quickly take action. And, on the other, AI helps content authors and BI developers auto-suggest charts and automate data preparation, improving efficiency and reducing manual workloads. But, there’s a gap, and the value is huge.