Hey there! Have you ever wondered why API monitoring is important for businesses and why your digital services sometimes go haywire? Or why do some users complain about slow performance? The answer often lies in the health of your APIs. In today’s digital world, APIs are the backbone of seamless user experiences and robust business operations. This guide will show you how a top-notch API monitoring strategy can transform your business.

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.

How to leverage artificial intelligence to enhance the value and impact of analyst relations. Analyst relations (AR) is a strategic function that aims to build and maintain positive relationships with industry analysts, influencers, and experts who provide insights, guidance, and recommendations to technology buyers and vendors.

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.