Systems | Development | Analytics | API | Testing

Let’s start with a statement everyone can agree on: AI coding is now a permanent fixture of the software development lifecycle. Even if your team hasn’t introduced it officially yet, it’s only a matter of time before one of your peers kicks off the discussion or pushes a PR that, perhaps even unbeknownst to you, is entirely AI-generated. Now, let’s rub some folks the wrong way: AI coding in a microservices architecture is a recipe for disaster.

Digitalization is revolutionizing every aspect of our lives, and understanding the concepts of open source and open standards is crucial. But these aren't just geeky tech concepts, they represent a whole philosophy of collaboration and sharing that's fueling innovation. And open standards? Think of them as the great enablers of interconnectivity. These guidelines ensure different technologies can talk to each other and share data seamlessly across platforms.

An API endpoint, often referred to as an endpoint URL, is a specific URL that allows access to a particular resource on a server, facilitating communication between different systems. It’s crucial for developers as it enables them to integrate and utilize functionalities from other systems, like payment gateways or social media platforms, streamlining their development process.

API testing is a vital part of the development lifecycle. In this comparison piece, you’ll compare Speedscale and Hypertest and show where they stand in terms of API testing.

REST APIs are the basis of all interactions between different applications. Many companies and organizations today offer APIs to interact with their applications. REST APIs allow third-party application developers to perform operations such as transmitting or accessing data from one application to another. This is called a public API. This means that this API is intended for interaction with third-party apps.

The most apparent shift that the 21st century has witnessed is the perception of the health and wellness industry. In the not-so-distant past, staying fit and living a wellness-focused lifestyle often meant relying on those old workout tapes or fitness DVDs. Well, been there, done that! However, as we fast forward to today, look at how the wellness industry has changed! We've witnessed a digital transformation in a way that is sure to make an impact on the scope of wellness industry in future and beyond.

Hey there! So, you’ve got a website and you’ve noticed it’s running slower than a snail on a lazy Sunday? Don’t worry, you’re not alone. Website speed is crucial – it affects everything from user experience to SEO rankings and even your sales. Whether you’re a non-technical business owner or a seasoned software engineer, this guide is here to help you turn your sluggish site into a lightning-fast machine.

OpenSearchis an open-source search and analytics engine derived from Elasticsearch. It was created by forking Elasticsearch and Kibana following concerns within the community about the direction of those projects, particularly regarding the licensing changes made by Elastic N.V.

In a previous blog post, we discussed the prevalence of bearer tokens (or access tokens) to restrict access to protected resources, the challenges the sheer nature of bearer tokens present, and available mitigations. To recap, presenting a bearer token is proof enough of an authorization grant to avail the service and access resources protected by the token. This poses many security risks such as using stolen or leaked tokens to gain unauthorized access.

Both business intelligence (BI) and data analytics help businesses make the most of their data through insights. While the two terms are related, they’re not the same and cannot be used interchangeably. The biggest difference is that business intelligence requires data analytics to generate results, but data analytics works well even independently of business data. Let’s do an in-depth comparison of the two and see if the business intelligence vs. data analytics debate is justified.