Open Source Bait and Switch

I was reading this article and wanted to post a comment but I felt this warrants a response article. First, if you don’t know me I’ve written a ton of Open Source code. Whole platform and then some. I think the general view is expressed in that article and a lot of the fluff I see online is over simplistic and dangerous.
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Implement Testcontainers GCloud Module With Spring Boot for Writing Integration Tests

Testcontainers is a library that is helpful with writing reliable integration tests in a module-specific (Databases, Kafka, Redis) Docker container. Once the execution of tests is over, the containers are destroyed completely.
If your application is using Google Cloud components like Spanner, Firestore, etc. to write efficient integration tests, Testcontainers offers a GCloud module for Google Cloud Platform’s Cloud SDK.

.NET Framework Vs .NET Core: A Complete Quick Comparison

There is an increasing demand for skilled .NET developers in this technology. Obviously, .NET technology refers to both .NET Framework and .NET Core. With the increasing demand for .NET development services, the .NET development company is offering quality web development projects. Therefore, it’s the right time to invest in these two languages after having sufficient knowledge. 
As we know, both .NET Framework and .NET Core have made their impression on web development services. However, the debate is still on which is better in the long run. But you know what, this is a never-ending debate and will not lead you to a conclusion. But on the other hand, we know that .NET Core is coming up with new features and functionalities to simplify the development and testing of desktop, web, cloud, and mobile applications.

Testing Multi Experience Apps Using Real Device Cloud

Multi-experience (MX) applications are shaping the future of web and mobile applications by making them more immersive and interactive. With multi-experience applications, users can interact with a brand or business in a variety of ways, using a variety of devices and platforms.  
Super-apps like WeChat and Paytm are growing in popularity because of the range of their offerings and the platform-agnostic multi-experience they provide to users. Multi-experience development platforms (MXDP) centralize all the activities involved in putting together a multi-experience application and are becoming increasingly popular.  

How to Paraphrase Text in Python Using NLP Libraries

Python is a robust object-oriented programming (OOP) language that finds a lot of use in the field of artificial intelligence. It is so useful that mega tech companies like Google have made libraries such as Tensorflow to help people to leverage powerful machine learning algorithms and models for various purposes.
People have made ‘sign language’ interpreters, Motorcyclist helmet detectors, and item identifiers using Python and its free libraries.

Cloud Data: FinOps Is the Crucial Ops

This article rounds off the series of posts to better understand how the pitfalls around the collection, maintenance, and storage of your cloud data can mean the difference between failure and success within your cloud strategy.  The concepts in this series stem from brainstorming with my good friend Roel Hodzelmans and are additionally inspired by reactions from the audience to a talk given previously in Dublin, Ireland.
The first article in this series, “Cloud Data: Understanding 3 Common Pitfalls,” provided an introduction to cloud and data and what that means in a cloud-native architecture beyond just storage. The second article in this series, “Cloud Data: Observability Is the Forgotten Data,” discussed the forgotten data that is often overlooked when planning for cloud-native solutions. This third and final article explores a new operations role that is going to be the most crucial one in your organization.

Error Handling in Spring for GraphQL

The Problem
Recently, I wrote some GraphQL endpoints and got a bit blocked when I came to the error handling mechanism. Usually, when writing REST endpoints, you either go for a particular @ExceptionHandler for your controller or you go for the @ControllerAdvice to handle exceptions globally for multiple controllers. Apparently, that is not the case for GraphQL. There is a completely different approach for handling errors.
First, the most important thing that I should mention is that I am using:

Greater App Security with Face Verification

Identity verification is among the primary contributors to mobile app security. Considering that face data is unique for each person, it has been utilized to develop a major branch of identity verification: face recognition.
Face recognition has been widely applied in services we use every day, such as unlocking a mobile device, face-scan payment, access control, and more. Undoubtedly, face recognition delivers a streamlined verification process for the mentioned services. However, that is not to say that this kind of security is completely safe and secure. Face recognition can only detect faces, and is unable to tell whether they belong to a real person, making face recognition vulnerable to presentation attacks (PAs), including the print attack, replay attack, and mask attack.

Infra: A Promising Way To Manage Kubernetes Users

Kubernetes is not a secure platform. Its implementation in production requires the integration of several components to ensure its security and good operation by both administrators and users.
The management of cluster access is obviously an important point in the adoption of the platform. Several tools exist today to manage this critical security aspect. Infra is a new player in this field and deserves some attention.

API Analytics Across the Developer Journey

Every API product manager wants as many developers as possible adopting and using their APIs. They want them to get to Hello World quickly and have a great developer experience (DX) along the way. Of course, the bigger goal is to be able to tie API success into the larger objectives of the company. For many, despite the best intentions, their metrics are too simplistic, narrow, and based on outdated models of engagement.
With complete API analytics, you can guide API users throughout the entire journey—from signup and education to Hello World and app deployment. Often, it’s not enough for someone to get started with your API. Instead, you want them to make complete use of it. And raw usage of the API does not tell the full story of your collective customer experience. You can use analytics to carefully plan the design of every API, improve the experience for every developer, and maximize the outcomes for your product.

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